From a938495d402cb6144ec4c524dd9493c6f331015a Mon Sep 17 00:00:00 2001 From: ddrwode <34234@3来 34> Date: Mon, 2 Feb 2026 16:31:48 +0800 Subject: [PATCH] =?UTF-8?q?=E4=BB=A3=E7=A0=81=E7=BB=93=E6=9E=84=E4=BC=98?= =?UTF-8?q?=E5=8C=96?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- 1.json | 1315 --- adaptive_third_strategy/README.md | 79 - adaptive_third_strategy/__init__.py | 2 - adaptive_third_strategy/backtest.py | 464 - adaptive_third_strategy/backtest_trades.csv | 1040 --- adaptive_third_strategy/config.py | 97 - adaptive_third_strategy/data/kline_15m.csv | 2785 ------- adaptive_third_strategy/data/kline_5m.csv | 8353 ------------------- adaptive_third_strategy/data/kline_60m.csv | 697 -- adaptive_third_strategy/data_fetcher.py | 172 - adaptive_third_strategy/indicators.py | 86 - adaptive_third_strategy/strategy_core.py | 305 - adaptive_third_strategy/trade.py | 187 - bieget/main.py | 139 - bieget/test.py | 81 - bitmart_strategy.log | 21 - 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-1,79 +0,0 @@ -# 自适应三分位趋势策略 - -优化版实盘策略：趋势过滤 + 动态阈值 + 信号确认 + 完整风险管理。 - -## 目录结构 - -- `config.py` - 策略参数（趋势模式、止损止盈、确认条件等） -- `indicators.py` - EMA、ATR 指标 -- `data_fetcher.py` - **Bitmart 方式**拉取 5/15/60 分钟 K 线（API 或 CSV） -- `strategy_core.py` - 趋势判断、有效 K 线、动态触发价、信号确认 -- `backtest.py` - 回测引擎（硬止损、止盈、移动止损、时间止损） -- `trade.py` - 实盘交易入口（拉数据 + 信号，开平仓需对接现有 Bitmart 下单逻辑） -- `data/` - 回测用 K 线 CSV（可选，无则 API 拉取） - -## 回测（先出数据再回测） - -在**项目根目录** `lm_code` 下执行： - -```bash -# 使用 API 拉取数据并回测（会请求 Bitmart 接口） -python adaptive_third_strategy/backtest.py --start 2025-01-01 --end 2025-01-30 --capital 10000 - -# 仅用本地已有 CSV 回测（需先抓过数据） -python adaptive_third_strategy/backtest.py --start 2025-01-01 --end 2025-01-30 --no-api -``` - -数据会保存到 `adaptive_third_strategy/data/kline_5m.csv`、`kline_15m.csv`、`kline_60m.csv`。 -回测结果输出到控制台，交易明细保存到 `adaptive_third_strategy/backtest_trades.csv`。 - -## 仅抓取数据（Bitmart 方式） - -与 `bitmart/回测.py`、`bitmart/抓取多周期K线.py` 相同的 API 调用方式： - -```bash -cd adaptive_third_strategy && python -c " -from data_fetcher import fetch_multi_timeframe, save_klines_csv -import time, os -end_ts = int(time.time()) -start_ts = end_ts - 30*24*3600 -data = fetch_multi_timeframe(start_ts, end_ts, [5, 15, 60]) -os.makedirs('data', exist_ok=True) -for step, klines in data.items(): - save_klines_csv(klines, f'data/kline_{step}m.csv') -" -``` - -需在项目根目录 `lm_code` 下执行时，先 `import sys; sys.path.insert(0, '..')` 或使用： - -```bash -python -c " -import sys, os -sys.path.insert(0, os.getcwd()) -from adaptive_third_strategy.data_fetcher import fetch_multi_timeframe, save_klines_csv -import time -end_ts = int(time.time()) -start_ts = end_ts - 30*24*3600 -data = fetch_multi_timeframe(start_ts, end_ts, [5, 15, 60]) -os.makedirs('adaptive_third_strategy/data', exist_ok=True) -for step, klines in data.items(): - save_klines_csv(klines, f'adaptive_third_strategy/data/kline_{step}m.csv') -" -``` - -## 实盘 - -```bash -python adaptive_third_strategy/trade.py -``` - -当前 `trade.py` 只做：拉 5/15/60 数据、算信号、打日志/钉钉。实际开平仓需在 `run_loop` 里接入你现有的 Bitmart 下单方式（如 `交易/bitmart-三分之一策略交易.py` 的浏览器点击或 API 下单）。 - -## 策略要点 - -- **数据与周期**：主周期 5 分钟，趋势用 15 分钟 / 1 小时 EMA。 -- **有效 K 线**：实体 ≥ max(ATR×0.1, 价格×0.05%)。 -- **趋势过滤**：长期 1h EMA50/200，中期 15m EMA20/50，短期 5m 收盘 vs EMA9；保守模式要求中期+短期一致。 -- **动态触发**：波动率系数 clamp(实体/ATR, 0.3, 3.0)，顺势方向更易触发。 -- **信号确认**：收盘价、成交量、动量等至少满足 2 项。 -- **风控**：硬止损 ATR×2、时间止损 3 根 K、移动止损（盈利 1×ATR 后 0.5×ATR 跟踪）、止盈目标 1.5/3/5×ATR。 diff --git a/adaptive_third_strategy/__init__.py b/adaptive_third_strategy/__init__.py deleted file mode 100644 index c23cfc3..0000000 --- a/adaptive_third_strategy/__init__.py +++ /dev/null @@ -1,2 +0,0 @@ -# -*- coding: utf-8 -*- -"""自适应三分位趋势策略""" diff --git a/adaptive_third_strategy/backtest.py b/adaptive_third_strategy/backtest.py deleted file mode 100644 index 539615d..0000000 --- a/adaptive_third_strategy/backtest.py +++ /dev/null @@ -1,464 +0,0 @@ -# -*- coding: utf-8 -*- -""" -自适应三分位趋势策略 - 回测引擎 -使用 Bitmart 方式获取数据（API 或 CSV），含硬止损、分批止盈、移动止损、时间止损 -""" - -import os -import sys -import csv -import datetime -from typing import List, Dict, Optional, Tuple - -# 使用 UTC 时区，避免 utcfromtimestamp 弃用警告 -def _utc_dt(ts): - if hasattr(datetime, "timezone") and hasattr(datetime.timezone, "utc"): - return datetime.datetime.fromtimestamp(ts, tz=datetime.timezone.utc) - return datetime.datetime.utcfromtimestamp(ts) - -try: - from loguru import logger -except ImportError: - import logging - logger = logging.getLogger(__name__) - -ROOT_DIR = os.path.dirname(os.path.dirname(os.path.abspath(__file__))) -if ROOT_DIR not in sys.path: - sys.path.insert(0, ROOT_DIR) - -from adaptive_third_strategy.config import ( - STEP_5M, - STEP_15M, - STEP_60M, - ATR_PERIOD, - EMA_SHORT, - EMA_MID_FAST, - EMA_MID_SLOW, - EMA_LONG_FAST, - EMA_LONG_SLOW, - STOP_LOSS_ATR_MULT, - TIME_STOP_BARS, - TRAIL_START_ATR, - TRAIL_ATR_MULT, - TP1_ATR, - TP2_ATR, - TP3_ATR, - TP1_RATIO, - TP2_RATIO, - TP3_RATIO, - MIN_BARS_SINCE_ENTRY, - SAME_KLINE_NO_REVERSE, - REVERSE_BREAK_MULT, - REVERSE_LOSS_ATR, - MAX_POSITION_PERCENT, - BASE_POSITION_PERCENT, - CONTRACT_SIZE, - FEE_RATE, - FEE_FIXED, - FEE_FIXED_BACKTEST, - MIN_BARS_BETWEEN_TRADES, - SLIPPAGE_POINTS, -) -from adaptive_third_strategy.indicators import get_ema_atr_from_klines, align_higher_tf_ema -from adaptive_third_strategy.strategy_core import ( - check_trigger, - get_body_size, - build_volume_ma, -) -from adaptive_third_strategy.data_fetcher import ( - fetch_multi_timeframe, - load_klines_csv, - save_klines_csv, -) - -SCRIPT_DIR = os.path.dirname(os.path.abspath(__file__)) - - -def ensure_data( - start_time: int, - end_time: int, - data_dir: str, - use_api: bool = True, - api_key: str = "", - secret_key: str = "", -) -> Tuple[List[Dict], List[Dict], List[Dict]]: - """ - 确保有 5/15/60 分钟数据。若 data_dir 下已有 CSV 则加载，否则用 API 拉取并保存。 - use_api=False 时仅从 CSV 加载（需事先抓取）。 - """ - data_dir = data_dir or os.path.join(SCRIPT_DIR, "data") - os.makedirs(data_dir, exist_ok=True) - paths = { - 5: os.path.join(data_dir, "kline_5m.csv"), - 15: os.path.join(data_dir, "kline_15m.csv"), - 60: os.path.join(data_dir, "kline_60m.csv"), - } - k5 = load_klines_csv(paths[5]) - k15 = load_klines_csv(paths[15]) - k60 = load_klines_csv(paths[60]) - need_fetch = not k5 or not k15 or not k60 - if need_fetch and use_api: - from adaptive_third_strategy.data_fetcher import DEFAULT_API_KEY, DEFAULT_SECRET_KEY, DEFAULT_MEMO - key = api_key or DEFAULT_API_KEY - sec = secret_key or DEFAULT_SECRET_KEY - data = fetch_multi_timeframe(start_time, end_time, [5, 15, 60], key, sec, DEFAULT_MEMO) - k5, k15, k60 = data[5], data[15], data[60] - for step, kl in [(5, k5), (15, k15), (60, k60)]: - save_klines_csv(kl, paths[step]) - # 按时间范围过滤（end_time 若为次日 0 点则用 < 以只含 end 日及之前） - k5 = [x for x in k5 if start_time <= x["id"] < end_time] - k15 = [x for x in k15 if start_time <= x["id"] < end_time] - k60 = [x for x in k60 if start_time <= x["id"] < end_time] - k5.sort(key=lambda x: x["id"]) - k15.sort(key=lambda x: x["id"]) - k60.sort(key=lambda x: x["id"]) - return k5, k15, k60 - - -def run_backtest( - klines_5m: List[Dict], - klines_15m: List[Dict], - klines_60m: List[Dict], - initial_capital: float = 10000.0, - use_stop_loss: bool = True, - use_take_profit: bool = True, - use_trailing_stop: bool = True, - use_time_stop: bool = True, - fixed_margin_usdt: Optional[float] = None, - leverage: Optional[float] = None, - deduct_fee: bool = True, -) -> Tuple[List[Dict], Dict, List[Dict]]: - """ - 回测主循环。 - - 若指定 fixed_margin_usdt 与 leverage，则每笔开仓名义价值 = fixed_margin_usdt * leverage（如 50U 一百倍 = 5000U）。 - - deduct_fee=False 时不扣手续费，总盈利 = 所有 money_pnl 之和。 - """ - if len(klines_5m) < ATR_PERIOD + 50: - logger.warning("5分钟K线数量不足") - return [], {}, klines_5m - - ema_5m, atr_5m = get_ema_atr_from_klines(klines_5m, EMA_SHORT, ATR_PERIOD) - ema_15m_align = align_higher_tf_ema(klines_5m, klines_15m, EMA_MID_FAST, EMA_MID_SLOW) - ema_60m_align = align_higher_tf_ema(klines_5m, klines_60m, EMA_LONG_FAST, EMA_LONG_SLOW) - volume_ma = build_volume_ma(klines_5m) - - trades: List[Dict] = [] - position: Optional[Dict] = None - last_trade_bar_idx: Optional[int] = None - last_close_bar_idx: Optional[int] = None - equity_curve: List[float] = [initial_capital] - capital = initial_capital - # 每笔固定名义价值（USDT）：50U 一百倍 = 5000 - fixed_notional = (fixed_margin_usdt * leverage) if (fixed_margin_usdt is not None and leverage is not None) else None - use_fee = deduct_fee - fee_fixed = 0 if not use_fee else (FEE_FIXED_BACKTEST if FEE_FIXED_BACKTEST is not None else FEE_FIXED) - - def _size_usdt(cap: float) -> float: - if fixed_notional is not None: - return fixed_notional - return min(cap * MAX_POSITION_PERCENT, cap * BASE_POSITION_PERCENT) - - def _fee(sz: float) -> float: - return 0 if not use_fee else (fee_fixed + sz * FEE_RATE * 2) - - for idx in range(ATR_PERIOD, len(klines_5m)): - just_reversed = False - curr = klines_5m[idx] - bar_id = curr["id"] - high, low, close = float(curr["high"]), float(curr["low"]), float(curr["close"]) - atr_val = atr_5m[idx] - if atr_val is None or atr_val <= 0: - equity_curve.append(capital) - continue - - # ---------- 持仓管理：止损 / 止盈 / 移动止损 / 时间止损 ---------- - if position is not None: - pos_dir = position["direction"] - entry_price = position["entry_price"] - entry_idx = position["entry_bar_idx"] - entry_atr = position["entry_atr"] - stop_price = position.get("stop_price") - trail_activated = position.get("trail_activated", False) - exit_reason = None - exit_price = close - - if pos_dir == "long": - # 硬止损 - if use_stop_loss and stop_price is not None and low <= stop_price: - exit_price = min(stop_price, high) - exit_reason = "stop_loss" - # 止盈（简化：首次触及任一目标即全平） - elif use_take_profit: - tp1 = entry_price + entry_atr * TP1_ATR - tp2 = entry_price + entry_atr * TP2_ATR - tp3 = entry_price + entry_atr * TP3_ATR - if high >= tp3: - exit_price = tp3 - exit_reason = "tp3" - elif high >= tp2: - exit_price = tp2 - exit_reason = "tp2" - elif high >= tp1: - exit_price = tp1 - exit_reason = "tp1" - # 移动止损 - if use_trailing_stop and not exit_reason: - if close >= entry_price + entry_atr * TRAIL_START_ATR: - trail_activated = True - position["trail_activated"] = True - trail_stop = close - entry_atr * TRAIL_ATR_MULT - if low <= trail_stop: - exit_price = trail_stop - exit_reason = "trail_stop" - # 时间止损 - if use_time_stop and not exit_reason and (idx - entry_idx) >= TIME_STOP_BARS: - if close <= entry_price: - exit_price = close - exit_reason = "time_stop" - else: - if use_stop_loss and stop_price is not None and high >= stop_price: - exit_price = max(stop_price, low) - exit_reason = "stop_loss" - elif use_take_profit: - tp1 = entry_price - entry_atr * TP1_ATR - tp2 = entry_price - entry_atr * TP2_ATR - tp3 = entry_price - entry_atr * TP3_ATR - if low <= tp3: - exit_price = tp3 - exit_reason = "tp3" - elif low <= tp2: - exit_price = tp2 - exit_reason = "tp2" - elif low <= tp1: - exit_price = tp1 - exit_reason = "tp1" - if use_trailing_stop and not exit_reason: - if close <= entry_price - entry_atr * TRAIL_START_ATR: - trail_activated = True - position["trail_activated"] = True - trail_stop = close + entry_atr * TRAIL_ATR_MULT - if high >= trail_stop: - exit_price = trail_stop - exit_reason = "trail_stop" - if use_time_stop and not exit_reason and (idx - entry_idx) >= TIME_STOP_BARS: - if close >= entry_price: - exit_price = close - exit_reason = "time_stop" - - if exit_reason: - # 平仓 - if pos_dir == "long": - point_pnl = exit_price - entry_price - else: - point_pnl = entry_price - exit_price - size_usdt = position.get("size_usdt", _size_usdt(capital)) - contract_val = CONTRACT_SIZE / entry_price - money_pnl = point_pnl / entry_price * size_usdt - fee = _fee(size_usdt) - net = money_pnl - fee - capital += net - trades.append({ - "direction": "做多" if pos_dir == "long" else "做空", - "entry_time": _utc_dt(position["entry_time"]), - "exit_time": _utc_dt(bar_id), - "entry_price": entry_price, - "exit_price": exit_price, - "point_pnl": point_pnl, - "money_pnl": money_pnl, - "fee": fee, - "net_profit": net, - "exit_reason": exit_reason, - "hold_bars": idx - entry_idx, - }) - position = None - last_close_bar_idx = idx - equity_curve.append(capital) - continue - - # ---------- 信号检测 ---------- - direction, trigger_price, valid_prev_idx, valid_prev = check_trigger( - klines_5m, idx, atr_5m, ema_5m, ema_15m_align, ema_60m_align, volume_ma, use_confirm=True - ) - if direction is None: - equity_curve.append(capital) - continue - if SAME_KLINE_NO_REVERSE and last_trade_bar_idx == idx: - equity_curve.append(capital) - continue - if position is not None: - if direction == position["direction"]: - equity_curve.append(capital) - continue - # 反手条件 - bars_since = idx - position["entry_bar_idx"] - if bars_since < MIN_BARS_SINCE_ENTRY: - equity_curve.append(capital) - continue - entry_atr_pos = position.get("entry_atr") or atr_val - pos_loss_atr = (position["entry_price"] - close) / entry_atr_pos if position["direction"] == "long" else (close - position["entry_price"]) / entry_atr_pos - if pos_loss_atr < REVERSE_LOSS_ATR: - # 可选：反向突破幅度 > 实体/2 才反手 - equity_curve.append(capital) - continue - # 先平仓再开仓（下面统一开仓） - # 简化：这里直接平仓记一笔，再开新仓 - exit_price = close - if position["direction"] == "long": - point_pnl = exit_price - position["entry_price"] - else: - point_pnl = position["entry_price"] - exit_price - size_usdt = position.get("size_usdt", _size_usdt(capital)) - money_pnl = point_pnl / position["entry_price"] * size_usdt - fee = _fee(size_usdt) - net = money_pnl - fee - capital += net - trades.append({ - "direction": "做多" if position["direction"] == "long" else "做空", - "entry_time": _utc_dt(position["entry_time"]), - "exit_time": _utc_dt(bar_id), - "entry_price": position["entry_price"], - "exit_price": exit_price, - "point_pnl": point_pnl, - "money_pnl": money_pnl, - "fee": fee, - "net_profit": net, - "exit_reason": "reverse", - "hold_bars": idx - position["entry_bar_idx"], - }) - position = None - last_close_bar_idx = idx - just_reversed = True - - # ---------- 开仓 ---------- - # 反手后本 K 线允许开仓；否则需间隔 MIN_BARS_BETWEEN_TRADES 根 - if not just_reversed and last_close_bar_idx is not None and (idx - last_close_bar_idx) < MIN_BARS_BETWEEN_TRADES: - equity_curve.append(capital) - continue - just_reversed = False - size_usdt = _size_usdt(capital) - if size_usdt <= 0: - equity_curve.append(capital) - continue - stop_price = None - if direction == "long": - stop_price = trigger_price - atr_val * STOP_LOSS_ATR_MULT - else: - stop_price = trigger_price + atr_val * STOP_LOSS_ATR_MULT - position = { - "direction": direction, - "entry_price": trigger_price, - "entry_time": bar_id, - "entry_bar_idx": idx, - "entry_atr": atr_val, - "stop_price": stop_price, - "size_usdt": size_usdt, - "closed_ratio": 0, - "trail_activated": False, - } - last_trade_bar_idx = idx - equity_curve.append(capital) - - # 尾仓 - if position is not None: - last_bar = klines_5m[-1] - exit_price = float(last_bar["close"]) - pos_dir = position["direction"] - entry_price = position["entry_price"] - if pos_dir == "long": - point_pnl = exit_price - entry_price - else: - point_pnl = entry_price - exit_price - size_usdt = position.get("size_usdt", _size_usdt(capital)) - money_pnl = point_pnl / entry_price * size_usdt - fee = _fee(size_usdt) - net = money_pnl - fee - capital += net - trades.append({ - "direction": "做多" if pos_dir == "long" else "做空", - "entry_time": _utc_dt(position["entry_time"]), - "exit_time": _utc_dt(last_bar["id"]), - "entry_price": entry_price, - "exit_price": exit_price, - "point_pnl": point_pnl, - "money_pnl": money_pnl, - "fee": fee, - "net_profit": net, - "exit_reason": "tail", - "hold_bars": len(klines_5m) - 1 - position["entry_bar_idx"], - }) - - # 统计 - total_net = sum(t["net_profit"] for t in trades) - total_gross = sum(t["money_pnl"] for t in trades) - total_fee = sum(t["fee"] for t in trades) - win_count = len([t for t in trades if t["net_profit"] > 0]) - stats = { - "total_trades": len(trades), - "win_count": win_count, - "win_rate": (win_count / len(trades) * 100) if trades else 0, - "total_gross_profit": total_gross, - "total_fee": total_fee, - "total_net_profit": total_net, - "final_capital": capital, - "max_drawdown": 0, - "max_drawdown_pct": 0, - } - peak = initial_capital - for eq in equity_curve: - peak = max(peak, eq) - dd = peak - eq - if peak > 0: - stats["max_drawdown"] = max(stats["max_drawdown"], dd) - stats["max_drawdown_pct"] = max(stats["max_drawdown_pct"], dd / peak * 100) - return trades, stats, klines_5m - - -def main(): - import argparse - parser = argparse.ArgumentParser(description="自适应三分位趋势策略回测") - parser.add_argument("--start", default="2025-01-01", help="开始日期 YYYY-MM-DD") - parser.add_argument("--end", default="2025-12-31", help="结束日期，默认 2025-12-31") - parser.add_argument("--data-dir", default=None, help="数据目录，默认 adaptive_third_strategy/data") - parser.add_argument("--no-api", action="store_true", help="不从 API 拉取，仅用本地 CSV") - parser.add_argument("--capital", type=float, default=10000, help="初始资金（按比例开仓时用）") - parser.add_argument("--fixed-margin", type=float, default=None, help="每笔固定保证金 USDT，如 50") - parser.add_argument("--leverage", type=float, default=None, help="杠杆倍数，如 100") - parser.add_argument("--no-fee", action="store_true", help="不扣手续费，只算总盈利") - args = parser.parse_args() - start_dt = datetime.datetime.strptime(args.start, "%Y-%m-%d") - if args.end: - end_dt = datetime.datetime.strptime(args.end, "%Y-%m-%d") - # 包含 end 日全天：取次日 0 点前一刻，这样 id < end_ts 的 K 线都含在内 - end_ts = int((end_dt + datetime.timedelta(days=1)).timestamp()) - else: - end_ts = int(datetime.datetime.utcnow().timestamp()) - start_ts = int(start_dt.timestamp()) - data_dir = args.data_dir or os.path.join(SCRIPT_DIR, "data") - k5, k15, k60 = ensure_data(start_ts, end_ts, data_dir, use_api=not args.no_api) - if not k5: - logger.error("无 5 分钟数据，请先抓取或开启 --api") - return - logger.info(f"5m={len(k5)} 15m={len(k15)} 60m={len(k60)}") - trades, stats, _ = run_backtest( - k5, k15, k60, - initial_capital=args.capital, - fixed_margin_usdt=args.fixed_margin, - leverage=args.leverage, - deduct_fee=not args.no_fee, - ) - logger.info(f"交易笔数: {stats['total_trades']} 胜率: {stats['win_rate']:.2f}% " - f"总盈利(未扣费): {stats['total_gross_profit']:.2f} USDT " - f"总手续费: {stats['total_fee']:.2f} 总净利润: {stats['total_net_profit']:.2f} " - f"最大回撤: {stats['max_drawdown']:.2f} ({stats['max_drawdown_pct']:.2f}%)") - out_csv = os.path.join(SCRIPT_DIR, "backtest_trades.csv") - if trades: - with open(out_csv, "w", newline="", encoding="utf-8") as f: - w = csv.DictWriter(f, fieldnames=["direction", "entry_time", "exit_time", "entry_price", "exit_price", "point_pnl", "money_pnl", "fee", "net_profit", "exit_reason", "hold_bars"]) - w.writeheader() - for t in trades: - w.writerow({k: str(v) if isinstance(v, datetime.datetime) else v for k, v in t.items()}) - logger.info(f"交易记录已保存: {out_csv}") - - -if __name__ == "__main__": - main() diff --git a/adaptive_third_strategy/backtest_trades.csv b/adaptive_third_strategy/backtest_trades.csv deleted file mode 100644 index a19738a..0000000 --- a/adaptive_third_strategy/backtest_trades.csv +++ /dev/null @@ -1,1040 +0,0 @@ -direction,entry_time,exit_time,entry_price,exit_price,point_pnl,money_pnl,fee,net_profit,exit_reason,hold_bars -做多,2024-12-31 18:00:00+00:00,2024-12-31 18:15:00+00:00,3365.336,3360.55,-4.7859999999996035,-7.110731291020575,0,-7.110731291020575,time_stop,3 -做多,2024-12-31 18:40:00+00:00,2024-12-31 18:55:00+00:00,3362.664,3360.3,-2.3640000000000327,-3.51507019434596,0,-3.51507019434596,time_stop,3 -做空,2024-12-31 19:15:00+00:00,2024-12-31 19:30:00+00:00,3364.660808,3358.6872977014245,5.9735102985755475,8.876838765400372,0,8.876838765400372,trail_stop,3 -做多,2024-12-31 20:00:00+00:00,2024-12-31 20:10:00+00:00,3355.358,3349.9,-5.458000000000084,-8.133260295920858,0,-8.133260295920858,reverse,2 -做空,2024-12-31 20:10:00+00:00,2024-12-31 20:15:00+00:00,3361.119699194804,3348.6021765303312,12.517522664472835,18.621060516636103,0,18.621060516636103,tp1,1 -做空,2024-12-31 20:35:00+00:00,2024-12-31 20:45:00+00:00,3347.8218247667855,3351.93,-4.108175233214297,-6.135594198625667,0,-6.135594198625667,reverse,2 -做多,2024-12-31 20:45:00+00:00,2024-12-31 21:05:00+00:00,3347.3379999999997,3345.02,-2.3179999999997563,-3.4624528505931527,0,-3.4624528505931527,time_stop,4 -做空,2024-12-31 21:25:00+00:00,2024-12-31 21:35:00+00:00,3340.536648,3349.26,-8.723352000000432,-13.056812301734748,0,-13.056812301734748,reverse,2 -做多,2024-12-31 21:35:00+00:00,2024-12-31 22:00:00+00:00,3344.954,3344.93,-0.02400000000034197,-0.0358749328097516,0,-0.0358749328097516,time_stop,5 -做空,2024-12-31 22:20:00+00:00,2024-12-31 22:35:00+00:00,3339.585213344349,3340.62,-1.0347866556508052,-1.5492742205169583,0,-1.5492742205169583,time_stop,3 -做空,2024-12-31 23:00:00+00:00,2024-12-31 23:15:00+00:00,3338.16250791956,3340.14,-1.977492080439788,-2.9619469929164994,0,-2.9619469929164994,time_stop,3 -做空,2024-12-31 23:35:00+00:00,2024-12-31 23:50:00+00:00,3335.942757559307,3339.51,-3.5672424406930077,-5.346678135602854,0,-5.346678135602854,time_stop,3 -做多,2025-01-01 00:30:00+00:00,2025-01-01 00:35:00+00:00,3349.246,3358.7624035327935,9.516403532793447,14.206784949199681,0,14.206784949199681,tp1,1 -做空,2025-01-01 01:00:00+00:00,2025-01-01 01:15:00+00:00,3361.862,3352.1206729558194,9.741327044180707,14.48799362404035,0,14.48799362404035,tp1,3 -做空,2025-01-01 01:35:00+00:00,2025-01-01 01:50:00+00:00,3354.6641444661122,3346.1846210780227,8.479523388089547,12.63840882861173,0,12.63840882861173,tp1,3 -做多,2025-01-01 02:10:00+00:00,2025-01-01 02:35:00+00:00,3348.84,3358.0162205847396,9.17622058473944,13.70059570588538,0,13.70059570588538,tp1,5 -做多,2025-01-01 02:55:00+00:00,2025-01-01 03:05:00+00:00,3363.9939999999997,3358.7,-5.293999999999869,-7.868622833453136,0,-7.868622833453136,reverse,2 -做空,2025-01-01 03:05:00+00:00,2025-01-01 03:20:00+00:00,3359.2619999999997,3350.9016902126396,8.360309787360166,12.443670346880008,0,12.443670346880008,tp1,3 -做空,2025-01-01 03:40:00+00:00,2025-01-01 04:05:00+00:00,3355.662907759951,3352.321253165757,3.3416545941940967,4.979127352849626,0,4.979127352849626,trail_stop,5 -做空,2025-01-01 04:30:00+00:00,2025-01-01 04:45:00+00:00,3347.912326957292,3341.3661606555006,6.546166301791345,9.776490036913163,0,9.776490036913163,tp1,3 -做多,2025-01-01 05:10:00+00:00,2025-01-01 05:25:00+00:00,3344.408,3346.7521337683734,2.3441337683734673,3.504557112011255,0,3.504557112011255,trail_stop,3 -做空,2025-01-01 05:50:00+00:00,2025-01-01 06:05:00+00:00,3346.4998088030266,3340.6561805864003,5.843628216626257,8.73095555131139,0,8.73095555131139,tp1,3 -做空,2025-01-01 06:35:00+00:00,2025-01-01 06:50:00+00:00,3338.6018373736665,3343.73,-5.128162626333506,-7.680105140012157,0,-7.680105140012157,time_stop,3 -做空,2025-01-01 07:10:00+00:00,2025-01-01 07:25:00+00:00,3339.400388621464,3340.65,-1.249611378535974,-1.8710116085418336,0,-1.8710116085418336,time_stop,3 -做多,2025-01-01 07:50:00+00:00,2025-01-01 08:20:00+00:00,3343.6639999999998,3342.19,-1.4739999999997053,-2.2041688399308446,0,-2.2041688399308446,time_stop,6 -做空,2025-01-01 08:45:00+00:00,2025-01-01 09:00:00+00:00,3338.57045402745,3339.66,-1.0895459725497858,-1.6317552490698874,0,-1.6317552490698874,time_stop,3 -做空,2025-01-01 09:20:00+00:00,2025-01-01 09:25:00+00:00,3323.178868818968,3314.5236984207318,8.65517039823635,13.022426327163561,0,13.022426327163561,tp1,1 -做多,2025-01-01 09:50:00+00:00,2025-01-01 10:00:00+00:00,3329.006,3332.950034400024,3.9440344000240657,5.923741801642992,0,5.923741801642992,trail_stop,2 -做多,2025-01-01 10:35:00+00:00,2025-01-01 10:50:00+00:00,3332.578,3326.78,-5.7979999999997744,-8.698971186870606,0,-8.698971186870606,time_stop,3 -做多,2025-01-01 11:15:00+00:00,2025-01-01 11:40:00+00:00,3331.7639999999997,3338.9338857306407,7.169885730640999,10.75989435422347,0,10.75989435422347,tp1,5 -做空,2025-01-01 12:45:00+00:00,2025-01-01 13:00:00+00:00,3346.095613879629,3352.02,-5.924386120370855,-8.852685045514626,0,-8.852685045514626,time_stop,3 -做空,2025-01-01 13:20:00+00:00,2025-01-01 13:30:00+00:00,3337.3029743822876,3340.32,-3.017025617712534,-4.5201554082319495,0,-4.5201554082319495,reverse,2 -做多,2025-01-01 13:30:00+00:00,2025-01-01 13:55:00+00:00,3335.922,3340.2087423458,4.286742345800121,6.425123767582277,0,6.425123767582277,trail_stop,5 -做空,2025-01-01 14:15:00+00:00,2025-01-01 14:25:00+00:00,3347.8961071848257,3338.5180108495583,9.3780963352674,14.005954837041287,0,14.005954837041287,tp1,2 -做空,2025-01-01 15:10:00+00:00,2025-01-01 15:15:00+00:00,3344.1400000000003,3333.1467163522684,10.993283647731914,16.436637891553453,0,16.436637891553453,tp1,1 -做多,2025-01-01 15:35:00+00:00,2025-01-01 15:40:00+00:00,3338.822,3343.2445259836563,4.4225259836562145,6.622883735126063,0,6.622883735126063,trail_stop,1 -做空,2025-01-01 16:30:00+00:00,2025-01-01 16:40:00+00:00,3344.0494025151456,3338.616657292254,5.432745222891754,8.123003833025981,0,8.123003833025981,trail_stop,2 -做空,2025-01-01 17:05:00+00:00,2025-01-01 17:15:00+00:00,3330.994801288238,3327.707494665596,3.2873066226416086,4.934421724960764,0,4.934421724960764,trail_stop,2 -做多,2025-01-01 17:35:00+00:00,2025-01-01 17:55:00+00:00,3334.4339999999997,3343.195669571337,8.76166957133728,13.138166134548293,0,13.138166134548293,tp1,4 -做多,2025-01-01 18:15:00+00:00,2025-01-01 18:30:00+00:00,3335.5,3343.5034583014076,8.00345830140759,11.997389149164428,0,11.997389149164428,tp1,3 -做空,2025-01-01 18:50:00+00:00,2025-01-01 19:00:00+00:00,3343.164,3349.43,-6.265999999999622,-9.371361979250228,0,-9.371361979250228,reverse,2 -做多,2025-01-01 19:00:00+00:00,2025-01-01 19:15:00+00:00,3349.796,3347.61,-2.1859999999996944,-3.2628852622662614,0,-3.2628852622662614,time_stop,3 -做多,2025-01-01 19:35:00+00:00,2025-01-01 19:40:00+00:00,3341.385193063863,3350.101530569028,8.71633750516503,13.043000135480693,0,13.043000135480693,tp1,1 -做多,2025-01-01 20:00:00+00:00,2025-01-01 20:15:00+00:00,3356.456744491854,3352.78,-3.6767444918536967,-5.47712181586647,0,-5.47712181586647,time_stop,3 -做多,2025-01-01 20:40:00+00:00,2025-01-01 20:45:00+00:00,3351.946915687728,3360.5034691363617,8.556553448633622,12.763557514272346,0,12.763557514272346,tp1,1 -做空,2025-01-01 21:05:00+00:00,2025-01-01 21:20:00+00:00,3358.27,3368.948963488777,-10.678963488776844,-15.899501065692819,0,-15.899501065692819,stop_loss,3 -做多,2025-01-01 21:45:00+00:00,2025-01-01 21:55:00+00:00,3360.8542353223042,3364.8452200543593,3.99098473205504,5.937455855880501,0,5.937455855880501,trail_stop,2 -做多,2025-01-01 22:15:00+00:00,2025-01-01 22:20:00+00:00,3363.9139587713266,3366.697940616391,2.783981845064318,4.138009888459172,0,4.138009888459172,trail_stop,1 -做多,2025-01-01 22:40:00+00:00,2025-01-01 22:55:00+00:00,3364.198881498957,3360.65,-3.548881498956689,-5.274482312079369,0,-5.274482312079369,time_stop,3 -做空,2025-01-01 23:15:00+00:00,2025-01-01 23:20:00+00:00,3359.906,3356.804475888003,3.1015241119971506,4.615492385794648,0,4.615492385794648,trail_stop,1 -做多,2025-01-01 23:40:00+00:00,2025-01-02 00:00:00+00:00,3356.537139874338,3354.11,-2.4271398743380814,-3.6155415137592497,0,-3.6155415137592497,time_stop,4 -做多,2025-01-02 00:35:00+00:00,2025-01-02 00:55:00+00:00,3389.79,3389.27,-0.5199999999999818,-0.767009165759504,0,-0.767009165759504,time_stop,4 -做空,2025-01-02 01:20:00+00:00,2025-01-02 01:30:00+00:00,3395.3239999999996,3382.6678711397376,12.656128860262015,18.63758636916833,0,18.63758636916833,tp1,2 -做空,2025-01-02 01:50:00+00:00,2025-01-02 02:05:00+00:00,3382.4739999999997,3388.05,-5.576000000000477,-8.242487599314108,0,-8.242487599314108,time_stop,3 -做多,2025-01-02 02:25:00+00:00,2025-01-02 02:50:00+00:00,3386.4044530061005,3391.087721390871,4.683268384770599,6.914809571274448,0,6.914809571274448,trail_stop,5 -做多,2025-01-02 03:15:00+00:00,2025-01-02 03:35:00+00:00,3389.3909214577984,3386.72,-2.670921457798613,-3.9401200978166204,0,-3.9401200978166204,time_stop,4 -做空,2025-01-02 03:55:00+00:00,2025-01-02 04:10:00+00:00,3389.872,3391.26,-1.3880000000003747,-2.047274941355271,0,-2.047274941355271,time_stop,3 -做多,2025-01-02 04:35:00+00:00,2025-01-02 04:40:00+00:00,3402.408893885747,3422.113149700977,19.70425581522977,28.956331278464265,0,28.956331278464265,tp2,1 -做空,2025-01-02 05:05:00+00:00,2025-01-02 05:20:00+00:00,3407.544,3410.6,-3.05600000000004,-4.4841680694365795,0,-4.4841680694365795,time_stop,3 -做多,2025-01-02 05:40:00+00:00,2025-01-02 05:50:00+00:00,3416.9014476182465,3412.14,-4.7614476182466206,-6.967493343370483,0,-6.967493343370483,reverse,2 -做空,2025-01-02 05:50:00+00:00,2025-01-02 06:05:00+00:00,3413.1339999999996,3409.835338219,3.298661780999737,4.832306292398331,0,4.832306292398331,trail_stop,3 -做多,2025-01-02 06:30:00+00:00,2025-01-02 06:55:00+00:00,3404.12,3407.343400649727,3.2234006497269547,4.7345579029631075,0,4.7345579029631075,trail_stop,5 -做多,2025-01-02 07:15:00+00:00,2025-01-02 08:00:00+00:00,3415.6565176790327,3422.7990103994834,7.1424927204507185,10.455519580909298,0,10.455519580909298,tp1,9 -做空,2025-01-02 08:20:00+00:00,2025-01-02 08:40:00+00:00,3421.6519999999996,3424.32,-2.668000000000575,-3.898701562871641,0,-3.898701562871641,time_stop,4 -做多,2025-01-02 09:10:00+00:00,2025-01-02 09:25:00+00:00,3436.7606022963173,3442.132296298689,5.371694002371896,7.815054093064742,0,7.815054093064742,trail_stop,3 -做多,2025-01-02 09:55:00+00:00,2025-01-02 10:00:00+00:00,3450.974,3462.345484344668,11.371484344667806,16.475760676069722,0,16.475760676069722,tp1,1 -做多,2025-01-02 10:20:00+00:00,2025-01-02 10:30:00+00:00,3465.554,3470.1507319632606,4.596731963260481,6.632030496798608,0,6.632030496798608,trail_stop,2 -做空,2025-01-02 10:50:00+00:00,2025-01-02 11:05:00+00:00,3466.172,3468.6,-2.4279999999998836,-3.5024228457212794,0,-3.5024228457212794,time_stop,3 -做多,2025-01-02 11:25:00+00:00,2025-01-02 11:30:00+00:00,3459.7224792068864,3465.1446096058658,5.422130398979334,7.8360770720290756,0,7.8360770720290756,trail_stop,1 -做多,2025-01-02 11:55:00+00:00,2025-01-02 12:10:00+00:00,3470.015085155543,3478.400582522772,8.385497367228709,12.082796704690448,0,12.082796704690448,tp1,3 -做空,2025-01-02 12:30:00+00:00,2025-01-02 12:45:00+00:00,3470.382,3478.01,-7.628000000000156,-10.990144600796334,0,-10.990144600796334,time_stop,3 -做多,2025-01-02 13:05:00+00:00,2025-01-02 13:10:00+00:00,3477.392528824765,3465.9438668770204,-11.448661947744768,-16.4615611450888,0,-16.4615611450888,stop_loss,1 -做多,2025-01-02 13:30:00+00:00,2025-01-02 13:45:00+00:00,3468.2204659496942,3462.93,-5.290465949694408,-7.627061199879248,0,-7.627061199879248,time_stop,3 -做多,2025-01-02 14:05:00+00:00,2025-01-02 14:25:00+00:00,3452.3399999999997,3457.432831063158,5.092831063158428,7.375911791941739,0,7.375911791941739,trail_stop,4 -做多,2025-01-02 16:30:00+00:00,2025-01-02 16:50:00+00:00,3481.1079999999997,3469.88,-11.22799999999961,-16.12704920387361,0,-16.12704920387361,time_stop,4 -做多,2025-01-02 17:10:00+00:00,2025-01-02 17:25:00+00:00,3469.782,3462.34,-7.442000000000007,-10.724016667329542,0,-10.724016667329542,time_stop,3 -做空,2025-01-02 17:45:00+00:00,2025-01-02 18:05:00+00:00,3445.576,3455.4,-9.82400000000007,-14.255961847888523,0,-14.255961847888523,time_stop,4 -做多,2025-01-02 18:25:00+00:00,2025-01-02 18:35:00+00:00,3456.784,3451.18,-5.604000000000269,-8.105800073131947,0,-8.105800073131947,reverse,2 -做空,2025-01-02 18:35:00+00:00,2025-01-02 18:45:00+00:00,3450.614,3459.43,-8.815999999999804,-12.774538096697867,0,-12.774538096697867,reverse,2 -做多,2025-01-02 18:45:00+00:00,2025-01-02 18:55:00+00:00,3454.096,3459.5916148432175,5.495614843217481,7.955214393603249,0,7.955214393603249,trail_stop,2 -做多,2025-01-02 19:15:00+00:00,2025-01-02 19:30:00+00:00,3465.568896,3462.81,-2.758896000000277,-3.9804373867514604,0,-3.9804373867514604,time_stop,3 -做空,2025-01-02 19:55:00+00:00,2025-01-02 20:10:00+00:00,3466.6859999999997,3467.52,-0.8340000000002874,-1.2028779070274715,0,-1.2028779070274715,time_stop,3 -做空,2025-01-02 20:30:00+00:00,2025-01-02 20:35:00+00:00,3465.386,3455.7120316897285,9.673968310271448,13.957995314622163,0,13.957995314622163,tp1,1 -做空,2025-01-02 20:55:00+00:00,2025-01-02 21:05:00+00:00,3451.7319999999995,3448.508517566787,3.2234824332126664,4.669369512483395,0,4.669369512483395,trail_stop,2 -做多,2025-01-02 21:25:00+00:00,2025-01-02 21:40:00+00:00,3450.4201103159126,3450.24,-0.1801103159127706,-0.26099766137793595,0,-0.26099766137793595,time_stop,3 -做空,2025-01-02 22:10:00+00:00,2025-01-02 22:15:00+00:00,3450.4120000000003,3442.8010488333734,7.610951166626819,11.029046917624358,0,11.029046917624358,tp1,1 -做空,2025-01-02 22:35:00+00:00,2025-01-02 22:50:00+00:00,3436.8940000000002,3441.85,-4.955999999999676,-7.209998329886921,0,-7.209998329886921,time_stop,3 -做多,2025-01-02 23:10:00+00:00,2025-01-02 23:15:00+00:00,3440.422,3444.9020132813007,4.480013281300671,6.5108484966388875,0,6.5108484966388875,trail_stop,1 -做多,2025-01-02 23:35:00+00:00,2025-01-02 23:50:00+00:00,3451.468,3451.0,-0.4679999999998472,-0.6779723874013133,0,-0.6779723874013133,time_stop,3 -做空,2025-01-03 00:35:00+00:00,2025-01-03 01:05:00+00:00,3455.622,3449.4734911216874,6.148508878312441,8.896385192466713,0,8.896385192466713,trail_stop,6 -做多,2025-01-03 01:25:00+00:00,2025-01-03 01:50:00+00:00,3451.680153948733,3460.082340519524,8.4021865707914,12.171154620423438,0,12.171154620423438,tp1,5 -做多,2025-01-03 02:10:00+00:00,2025-01-03 02:15:00+00:00,3467.4377015223386,3475.8536909438694,8.415989421530867,12.135747122199085,0,12.135747122199085,tp1,1 -做空,2025-01-03 02:40:00+00:00,2025-01-03 02:50:00+00:00,3466.026,3462.309610998312,3.7163890016877303,5.361167229685713,0,5.361167229685713,trail_stop,2 -做多,2025-01-03 03:15:00+00:00,2025-01-03 03:30:00+00:00,3457.886,3461.3919808789374,3.5059808789374074,5.069543760172266,0,5.069543760172266,trail_stop,3 -做多,2025-01-03 03:50:00+00:00,2025-01-03 04:10:00+00:00,3466.954273083611,3466.02,-0.9342730836110604,-1.3473974705470955,0,-1.3473974705470955,time_stop,4 -做空,2025-01-03 04:35:00+00:00,2025-01-03 05:00:00+00:00,3460.054,3453.940953740661,6.113046259339171,8.833744009976682,0,8.833744009976682,tp1,5 -做多,2025-01-03 05:35:00+00:00,2025-01-03 06:00:00+00:00,3450.7799999999997,3453.7648340448045,2.9848340448047566,4.324868645356639,0,4.324868645356639,trail_stop,5 -做空,2025-01-03 06:20:00+00:00,2025-01-03 06:45:00+00:00,3451.674,3444.458464144456,7.2155358555442035,10.452226739176705,0,10.452226739176705,tp1,5 -做空,2025-01-03 07:20:00+00:00,2025-01-03 07:25:00+00:00,3439.924414439349,3432.6131199967817,7.311294442567487,10.627114961999983,0,10.627114961999983,tp1,1 -做空,2025-01-03 07:55:00+00:00,2025-01-03 08:15:00+00:00,3434.5415690093278,3437.37,-2.828430990672132,-4.117625211168976,0,-4.117625211168976,time_stop,4 -做多,2025-01-03 08:40:00+00:00,2025-01-03 08:55:00+00:00,3431.506,3429.01,-2.49599999999964,-3.636887127692098,0,-3.636887127692098,time_stop,3 -做多,2025-01-03 09:15:00+00:00,2025-01-03 09:35:00+00:00,3441.606,3444.805072078669,3.1990720786689053,4.647644266468772,0,4.647644266468772,trail_stop,4 -做空,2025-01-03 10:00:00+00:00,2025-01-03 10:25:00+00:00,3442.519650386368,3444.97,-2.4503496136317153,-3.5589478964291494,0,-3.5589478964291494,time_stop,5 -做多,2025-01-03 10:55:00+00:00,2025-01-03 11:00:00+00:00,3444.296,3447.3589300870767,3.062930087076893,4.446380460734056,0,4.446380460734056,trail_stop,1 -做多,2025-01-03 11:20:00+00:00,2025-01-03 11:25:00+00:00,3449.44,3456.1451035028167,6.705103502816655,9.719118904541977,0,9.719118904541977,tp1,1 -做空,2025-01-03 11:55:00+00:00,2025-01-03 12:10:00+00:00,3464.328,3473.4837118620508,-9.155711862050794,-13.214268195809971,0,-13.214268195809971,stop_loss,3 -做空,2025-01-03 12:40:00+00:00,2025-01-03 13:05:00+00:00,3467.14,3478.3158687226824,-11.17586872268248,-16.116840858290235,0,-16.116840858290235,stop_loss,5 -做多,2025-01-03 13:30:00+00:00,2025-01-03 13:45:00+00:00,3486.088,3483.73,-2.3580000000001746,-3.382014452876942,0,-3.382014452876942,time_stop,3 -做多,2025-01-03 14:05:00+00:00,2025-01-03 14:10:00+00:00,3486.4199999999996,3498.6771523184957,12.257152318496082,17.578421874725482,0,17.578421874725482,tp1,1 -做多,2025-01-03 14:30:00+00:00,2025-01-03 14:35:00+00:00,3510.708,3526.0755882596136,15.367588259613512,21.88673660642456,0,21.88673660642456,tp1,1 -做多,2025-01-03 15:00:00+00:00,2025-01-03 15:30:00+00:00,3528.334,3537.375939447509,9.041939447509321,12.813326980253743,0,12.813326980253743,trail_stop,6 -做多,2025-01-03 16:30:00+00:00,2025-01-03 16:50:00+00:00,3583.038,3582.99,-0.04800000000022919,-0.06698226477116513,0,-0.06698226477116513,time_stop,4 -做空,2025-01-03 17:15:00+00:00,2025-01-03 17:30:00+00:00,3577.0119999999997,3579.94,-2.9280000000003383,-4.092801477882013,0,-4.092801477882013,time_stop,3 -做空,2025-01-03 17:55:00+00:00,2025-01-03 18:10:00+00:00,3575.832,3586.68,-10.847999999999956,-15.16849784889217,0,-15.16849784889217,time_stop,3 -做多,2025-01-03 18:30:00+00:00,2025-01-03 18:35:00+00:00,3600.766,3613.034272552062,12.268272552061717,17.035642627237813,0,17.035642627237813,tp1,1 -做多,2025-01-03 19:05:00+00:00,2025-01-03 19:10:00+00:00,3607.614,3620.597044363485,12.983044363485078,17.99394885856009,0,17.99394885856009,tp1,1 -做多,2025-01-03 19:30:00+00:00,2025-01-03 19:45:00+00:00,3620.9759999999997,3619.53,-1.445999999999458,-1.9966992324713808,0,-1.9966992324713808,time_stop,3 -做空,2025-01-03 20:05:00+00:00,2025-01-03 20:10:00+00:00,3612.93,3601.8524163380225,11.077583661977314,15.330470922460876,0,15.330470922460876,tp1,1 -做空,2025-01-03 20:35:00+00:00,2025-01-03 20:55:00+00:00,3609.466,3603.7121589096505,5.753841090349397,7.970488003418507,0,7.970488003418507,trail_stop,4 -做多,2025-01-03 21:25:00+00:00,2025-01-03 21:45:00+00:00,3610.4729355177715,3605.68,-4.792935517771639,-6.637545279209097,0,-6.637545279209097,time_stop,4 -做多,2025-01-03 22:15:00+00:00,2025-01-03 22:20:00+00:00,3613.2673583909163,3616.504894211088,3.2375358201716153,4.480066791422509,0,4.480066791422509,trail_stop,1 -做空,2025-01-03 22:40:00+00:00,2025-01-03 23:15:00+00:00,3617.07,3608.2865480588125,8.78345194118765,12.141667069185347,0,12.141667069185347,tp1,7 -做空,2025-01-03 23:35:00+00:00,2025-01-03 23:55:00+00:00,3605.3540000000003,3607.89,-2.5359999999996035,-3.5169916740486555,0,-3.5169916740486555,time_stop,4 -做空,2025-01-04 00:35:00+00:00,2025-01-04 00:45:00+00:00,3610.1420000000003,3602.736599989479,7.405400010521134,10.25638328149022,0,10.25638328149022,tp1,2 -做空,2025-01-04 01:05:00+00:00,2025-01-04 01:10:00+00:00,3592.944,3584.765190542564,8.178809457435818,11.381765840819977,0,11.381765840819977,tp1,1 -做空,2025-01-04 01:35:00+00:00,2025-01-04 01:50:00+00:00,3592.11,3595.99,-3.8799999999996544,-5.400725478896323,0,-5.400725478896323,time_stop,3 -做多,2025-01-04 02:10:00+00:00,2025-01-04 02:20:00+00:00,3590.3140000000003,3587.51,-2.8040000000000873,-3.904950931868476,0,-3.904950931868476,reverse,2 -做空,2025-01-04 02:20:00+00:00,2025-01-04 02:30:00+00:00,3589.704,3582.5930399832555,7.110960016744684,9.904660686152235,0,9.904660686152235,tp1,2 -做多,2025-01-04 02:50:00+00:00,2025-01-04 03:05:00+00:00,3594.6900473741553,3590.43,-4.26004737415542,-5.9254724580041245,0,-5.9254724580041245,time_stop,3 -做多,2025-01-04 03:35:00+00:00,2025-01-04 04:00:00+00:00,3595.1395714756804,3587.47,-7.669571475680641,-10.666583762883715,0,-10.666583762883715,time_stop,5 -做空,2025-01-04 04:25:00+00:00,2025-01-04 04:30:00+00:00,3589.766,3583.6332373219275,6.132762678072595,8.542008975059371,0,8.542008975059371,tp1,1 -做空,2025-01-04 05:00:00+00:00,2025-01-04 05:15:00+00:00,3589.868,3590.45,-0.58199999999988,-0.8106147635510275,0,-0.8106147635510275,time_stop,3 -做空,2025-01-04 05:45:00+00:00,2025-01-04 06:00:00+00:00,3592.992,3596.69,-3.6979999999998654,-5.146128908719899,0,-5.146128908719899,time_stop,3 -做空,2025-01-04 06:30:00+00:00,2025-01-04 06:45:00+00:00,3600.186,3594.4838333487432,5.702166651256903,7.919266742408451,0,7.919266742408451,tp1,3 -做多,2025-01-04 07:10:00+00:00,2025-01-04 07:15:00+00:00,3602.0788422388277,3607.7959105718423,5.717068333014595,7.935790113718363,0,7.935790113718363,tp1,1 -做空,2025-01-04 07:45:00+00:00,2025-01-04 07:50:00+00:00,3601.8559999999998,3596.017708935522,5.838291064477744,8.10455923901142,0,8.10455923901142,tp1,1 -做多,2025-01-04 08:10:00+00:00,2025-01-04 08:20:00+00:00,3600.4138309807586,3594.9,-5.513830980758485,-7.657218363779738,0,-7.657218363779738,reverse,2 -做空,2025-01-04 08:20:00+00:00,2025-01-04 08:25:00+00:00,3601.342,3594.0103571597756,7.331642840224504,10.179042757150674,0,10.179042757150674,tp1,1 -做空,2025-01-04 08:45:00+00:00,2025-01-04 09:15:00+00:00,3589.29,3592.99,-3.699999999999818,-5.154222701425376,0,-5.154222701425376,time_stop,6 -做空,2025-01-04 09:35:00+00:00,2025-01-04 09:45:00+00:00,3589.582,3586.9436904031877,2.638309596812178,3.674953792408389,0,3.674953792408389,trail_stop,2 -做空,2025-01-04 10:05:00+00:00,2025-01-04 10:10:00+00:00,3585.238,3577.7730260048756,7.464973995124183,10.410709128827966,0,10.410709128827966,tp1,1 -做多,2025-01-04 10:35:00+00:00,2025-01-04 10:45:00+00:00,3579.838628721301,3584.150204335802,4.311575614500725,6.0220250989927955,0,6.0220250989927955,trail_stop,2 -做多,2025-01-04 11:05:00+00:00,2025-01-04 11:10:00+00:00,3585.272222281673,3588.797679651244,3.525457369571086,4.916582550776966,0,4.916582550776966,trail_stop,1 -做多,2025-01-04 11:35:00+00:00,2025-01-04 11:40:00+00:00,3589.385975543314,3595.2727015303085,5.886725986994406,8.200185250491696,0,8.200185250491696,tp1,1 -做多,2025-01-04 12:45:00+00:00,2025-01-04 13:10:00+00:00,3627.6566569491497,3638.776527066139,11.119870116989205,15.326519525611594,0,15.326519525611594,tp1,5 -做空,2025-01-04 13:30:00+00:00,2025-01-04 13:45:00+00:00,3636.136,3641.5,-5.364000000000033,-7.375961735204669,0,-7.375961735204669,time_stop,3 -做空,2025-01-04 14:10:00+00:00,2025-01-04 14:50:00+00:00,3643.276,3632.859781602952,10.416218397047942,14.29512668961663,0,14.29512668961663,tp1,8 -做多,2025-01-04 15:10:00+00:00,2025-01-04 15:15:00+00:00,3635.196826079015,3652.2271059352397,17.03027985622475,23.424150975882508,0,23.424150975882508,tp2,1 -做空,2025-01-04 15:35:00+00:00,2025-01-04 15:45:00+00:00,3611.1420000000003,3595.1673240454,15.974675954600116,22.118592891944036,0,22.118592891944036,tp1,2 -做空,2025-01-04 16:30:00+00:00,2025-01-04 16:45:00+00:00,3618.65,3620.02,-1.3699999999998909,-1.8929711356443575,0,-1.8929711356443575,time_stop,3 -做多,2025-01-04 17:05:00+00:00,2025-01-04 17:25:00+00:00,3625.306,3622.57,-2.7359999999998763,-3.7734745701464596,0,-3.7734745701464596,time_stop,4 -做多,2025-01-04 17:50:00+00:00,2025-01-04 18:00:00+00:00,3627.8788492249637,3638.8587104324897,10.979861207526028,15.132618347869712,0,15.132618347869712,tp1,2 -做空,2025-01-04 18:30:00+00:00,2025-01-04 18:45:00+00:00,3633.87,3623.5299607412235,10.340039258776414,14.227310358896183,0,14.227310358896183,tp1,3 -做多,2025-01-04 19:10:00+00:00,2025-01-04 19:15:00+00:00,3629.2036106171063,3638.1445932638476,8.940982646741304,12.318105576364987,0,12.318105576364987,tp1,1 -做空,2025-01-04 19:35:00+00:00,2025-01-04 20:05:00+00:00,3632.448,3636.18,-3.731999999999971,-5.137031555579008,0,-5.137031555579008,time_stop,6 -做多,2025-01-04 20:25:00+00:00,2025-01-04 20:40:00+00:00,3642.411911293017,3658.452396441867,16.040485148850166,22.019043342019994,0,22.019043342019994,tp2,3 -做多,2025-01-04 21:00:00+00:00,2025-01-04 21:40:00+00:00,3659.8210102319426,3659.47,-0.351010231942837,-0.47954562663242317,0,-0.47954562663242317,time_stop,8 -做空,2025-01-04 22:00:00+00:00,2025-01-04 22:20:00+00:00,3656.53,3653.3551256299297,3.1748743700704836,4.341376072492888,0,4.341376072492888,trail_stop,4 -做多,2025-01-04 23:00:00+00:00,2025-01-04 23:10:00+00:00,3659.735840509952,3650.81,-8.925840509952195,-12.194651334054287,0,-12.194651334054287,reverse,2 -做空,2025-01-04 23:10:00+00:00,2025-01-04 23:20:00+00:00,3651.514,3655.28,-3.7660000000000764,-5.1567651116770685,0,-5.1567651116770685,reverse,2 -做多,2025-01-04 23:20:00+00:00,2025-01-04 23:45:00+00:00,3654.422131735912,3658.141041959966,3.7189102240540706,5.088232954477437,0,5.088232954477437,trail_stop,5 -做空,2025-01-05 00:35:00+00:00,2025-01-05 00:40:00+00:00,3661.922,3657.3110934890788,4.610906510921268,6.2957464835696495,0,6.2957464835696495,trail_stop,1 -做空,2025-01-05 01:00:00+00:00,2025-01-05 01:30:00+00:00,3647.5679999999998,3638.2099900605676,9.358009939432122,12.827738837812102,0,12.827738837812102,tp1,6 -做多,2025-01-05 01:55:00+00:00,2025-01-05 02:10:00+00:00,3634.574,3638.80246846727,4.228468467269977,5.8170069824826465,0,5.8170069824826465,trail_stop,3 -做空,2025-01-05 02:30:00+00:00,2025-01-05 02:55:00+00:00,3639.016,3640.11,-1.094000000000051,-1.5031535997644019,0,-1.5031535997644019,time_stop,5 -做空,2025-01-05 03:20:00+00:00,2025-01-05 03:35:00+00:00,3634.398,3634.49,-0.09199999999964348,-0.1265684165570797,0,-0.1265684165570797,time_stop,3 -做多,2025-01-05 03:55:00+00:00,2025-01-05 04:00:00+00:00,3635.5008348162814,3638.2321137226263,2.731278906344869,3.7563997787981434,0,3.7563997787981434,trail_stop,1 -做多,2025-01-05 04:20:00+00:00,2025-01-05 04:25:00+00:00,3639.23426551525,3645.8401693336323,6.605903818382103,9.07595298409132,0,9.07595298409132,tp1,1 -做空,2025-01-05 04:55:00+00:00,2025-01-05 05:00:00+00:00,3644.554,3642.0154222625347,2.5385777374654026,3.4827001293785225,0,3.4827001293785225,trail_stop,1 -做多,2025-01-05 05:20:00+00:00,2025-01-05 05:30:00+00:00,3634.016,3640.1677981255903,6.151798125590176,8.464186901750262,0,8.464186901750262,tp1,2 -做空,2025-01-05 05:55:00+00:00,2025-01-05 06:15:00+00:00,3632.346,3634.72,-2.3739999999997963,-3.267860495668359,0,-3.267860495668359,time_stop,4 -做多,2025-01-05 06:50:00+00:00,2025-01-05 07:05:00+00:00,3638.921942476204,3637.91,-1.01194247620424,-1.390442680828207,0,-1.390442680828207,time_stop,3 -做空,2025-01-05 07:25:00+00:00,2025-01-05 07:45:00+00:00,3633.7015100212006,3631.9101215899177,1.7913884312829396,2.464963655301021,0,2.464963655301021,trail_stop,4 -做空,2025-01-05 08:05:00+00:00,2025-01-05 08:10:00+00:00,3620.658009972818,3614.0199387156567,6.6380712571613,9.16694042750966,0,9.16694042750966,tp1,1 -做空,2025-01-05 09:00:00+00:00,2025-01-05 09:30:00+00:00,3618.9347608376343,3612.016910358492,6.917850479142089,9.557854639994797,0,9.557854639994797,tp1,6 -做空,2025-01-05 09:50:00+00:00,2025-01-05 09:55:00+00:00,3611.287256129399,3604.0173638590354,7.269892270363471,10.065513700169324,0,10.065513700169324,tp1,1 -做多,2025-01-05 10:15:00+00:00,2025-01-05 11:00:00+00:00,3612.402,3611.33,-1.0720000000001164,-1.4837772761726358,0,-1.4837772761726358,time_stop,9 -做空,2025-01-05 11:20:00+00:00,2025-01-05 11:30:00+00:00,3618.662,3611.0413738044,7.620626195599925,10.52961867618463,0,10.52961867618463,tp1,2 -做空,2025-01-05 11:50:00+00:00,2025-01-05 12:05:00+00:00,3611.0093816312105,3606.8345231423555,4.1748584888550795,5.780736142769532,0,5.780736142769532,trail_stop,3 -做空,2025-01-05 12:30:00+00:00,2025-01-05 12:45:00+00:00,3614.6293082397237,3619.8,-5.170691760276441,-7.152450942188728,0,-7.152450942188728,time_stop,3 -做多,2025-01-05 13:05:00+00:00,2025-01-05 13:15:00+00:00,3616.652,3619.0749996248232,2.4229996248232055,3.3497826509479007,0,3.3497826509479007,trail_stop,2 -做空,2025-01-05 13:35:00+00:00,2025-01-05 13:45:00+00:00,3623.6440000000002,3620.871286870086,2.7727131299143366,3.8258630399596876,0,3.8258630399596876,trail_stop,2 -做空,2025-01-05 14:05:00+00:00,2025-01-05 14:10:00+00:00,3615.5220500807436,3607.471403637484,8.050646443259666,11.133449515374792,0,11.133449515374792,tp1,1 -做空,2025-01-05 14:30:00+00:00,2025-01-05 14:40:00+00:00,3603.8802531034835,3616.5908762989784,-12.710623195494918,-17.634635868587974,0,-17.634635868587974,stop_loss,2 -做多,2025-01-05 15:05:00+00:00,2025-01-05 15:20:00+00:00,3628.454,3620.47,-7.984000000000378,-11.001930849888655,0,-11.001930849888655,time_stop,3 -做空,2025-01-05 16:30:00+00:00,2025-01-05 16:40:00+00:00,3633.5850085537622,3628.1311472175066,5.453861336255613,7.504793920352446,0,7.504793920352446,trail_stop,2 -做多,2025-01-05 17:00:00+00:00,2025-01-05 17:25:00+00:00,3627.812,3636.67544495812,8.863444958119999,12.215965102546656,0,12.215965102546656,tp1,5 -做空,2025-01-05 17:45:00+00:00,2025-01-05 17:50:00+00:00,3631.6679999999997,3621.834485711022,9.833514288977767,13.5385644956777,0,13.5385644956777,tp1,1 -做空,2025-01-05 18:10:00+00:00,2025-01-05 18:25:00+00:00,3619.536,3621.18,-1.643999999999778,-2.271009322741614,0,-2.271009322741614,time_stop,3 -做多,2025-01-05 19:05:00+00:00,2025-01-05 19:45:00+00:00,3632.439108371204,3632.22,-0.21910837120412907,-0.3015995102287866,0,-0.3015995102287866,time_stop,8 -做多,2025-01-05 20:05:00+00:00,2025-01-05 20:15:00+00:00,3633.9709532239367,3648.3677713433417,14.396818119404998,19.808658771243927,0,19.808658771243927,tp2,2 -做空,2025-01-05 20:45:00+00:00,2025-01-05 21:05:00+00:00,3634.68,3637.32,-2.6400000000003274,-3.631681468520375,0,-3.631681468520375,time_stop,4 -做多,2025-01-05 21:30:00+00:00,2025-01-05 21:55:00+00:00,3639.3539797031513,3647.0705973824506,7.716617679299361,10.60163111686209,0,10.60163111686209,tp1,5 -做多,2025-01-05 22:25:00+00:00,2025-01-05 22:35:00+00:00,3641.3876138811147,3648.5094424109684,7.121828529853701,9.779003617611329,0,9.779003617611329,tp1,2 -做多,2025-01-05 22:55:00+00:00,2025-01-05 23:00:00+00:00,3637.421244392445,3652.7991356553107,15.377891262865887,21.13845253223406,0,21.13845253223406,tp2,1 -做多,2025-01-05 23:30:00+00:00,2025-01-05 23:45:00+00:00,3639.804,3639.09,-0.7139999999999418,-0.9808220442638419,0,-0.9808220442638419,time_stop,3 -做空,2025-01-06 00:30:00+00:00,2025-01-06 00:45:00+00:00,3639.3860000000004,3634.5083107327487,4.877689267251753,6.7012529960434986,0,6.7012529960434986,trail_stop,3 -做空,2025-01-06 01:10:00+00:00,2025-01-06 01:25:00+00:00,3615.828,3622.11,-6.282000000000153,-8.68680700520068,0,-8.68680700520068,time_stop,3 -做多,2025-01-06 01:45:00+00:00,2025-01-06 01:50:00+00:00,3625.801328234854,3645.247076454039,19.445748219185134,26.81579388776369,0,26.81579388776369,tp2,1 -做多,2025-01-06 02:15:00+00:00,2025-01-06 02:40:00+00:00,3669.8,3668.14,-1.6600000000003092,-2.2617036350759023,0,-2.2617036350759023,time_stop,5 -做多,2025-01-06 03:05:00+00:00,2025-01-06 04:10:00+00:00,3658.762,3666.359558164614,7.597558164613929,10.382689779512754,0,10.382689779512754,trail_stop,13 -做多,2025-01-06 04:35:00+00:00,2025-01-06 04:55:00+00:00,3661.5739999999996,3672.3348632303578,10.760863230358154,14.69431347059783,0,14.69431347059783,tp1,4 -做多,2025-01-06 05:15:00+00:00,2025-01-06 05:20:00+00:00,3669.003538915275,3678.225015255197,9.221476339921992,12.566731323797361,0,12.566731323797361,tp1,1 -做多,2025-01-06 05:45:00+00:00,2025-01-06 05:55:00+00:00,3685.65,3679.61,-6.039999999999964,-8.19394136719434,0,-8.19394136719434,reverse,2 -做空,2025-01-06 05:55:00+00:00,2025-01-06 06:10:00+00:00,3679.94,3667.979576372222,11.960423627778255,16.250840540577094,0,16.250840540577094,tp1,3 -做多,2025-01-06 06:35:00+00:00,2025-01-06 06:55:00+00:00,3668.296268807793,3664.87,-3.4262688077928942,-4.670109168835539,0,-4.670109168835539,time_stop,4 -做空,2025-01-06 07:15:00+00:00,2025-01-06 07:20:00+00:00,3654.384,3643.283827160924,11.100172839076095,15.187474604579176,0,15.187474604579176,tp1,1 -做空,2025-01-06 07:55:00+00:00,2025-01-06 08:10:00+00:00,3651.28,3654.81,-3.5299999999997453,-4.8339212550115915,0,-4.8339212550115915,time_stop,3 -做空,2025-01-06 08:30:00+00:00,2025-01-06 08:40:00+00:00,3647.414,3637.0936851552196,10.320314844780569,14.147440960610131,0,14.147440960610131,tp1,2 -做多,2025-01-06 09:00:00+00:00,2025-01-06 10:00:00+00:00,3640.5730097961223,3640.33,-0.24300979612235096,-0.3337521256522746,0,-0.3337521256522746,time_stop,12 -做空,2025-01-06 10:40:00+00:00,2025-01-06 11:05:00+00:00,3637.309768081661,3641.15,-3.8402319183392137,-5.2789453788597385,0,-5.2789453788597385,time_stop,5 -做多,2025-01-06 11:30:00+00:00,2025-01-06 11:45:00+00:00,3653.4460000000004,3646.0,-7.446000000000367,-10.190379165314564,0,-10.190379165314564,time_stop,3 -做多,2025-01-06 12:35:00+00:00,2025-01-06 12:50:00+00:00,3653.6799701616465,3646.75,-6.929970161646452,-9.483548392635843,0,-9.483548392635843,time_stop,3 -做空,2025-01-06 13:10:00+00:00,2025-01-06 13:15:00+00:00,3638.495704119258,3629.7644510841938,8.731253035064128,11.998438015440277,0,11.998438015440277,tp1,1 -做空,2025-01-06 13:35:00+00:00,2025-01-06 13:50:00+00:00,3642.1149467770983,3649.68,-7.565053222901497,-10.385522331737224,0,-10.385522331737224,time_stop,3 -做空,2025-01-06 14:15:00+00:00,2025-01-06 14:20:00+00:00,3638.362,3626.1147397704567,12.247260229543372,16.830733486034884,0,16.830733486034884,tp1,1 -做多,2025-01-06 14:40:00+00:00,2025-01-06 14:45:00+00:00,3637.93,3670.056695401074,32.12669540107436,44.15518632996561,0,44.15518632996561,tp2,1 -做多,2025-01-06 16:30:00+00:00,2025-01-06 16:45:00+00:00,3731.0440000000003,3706.952301710433,-24.091698289567375,-32.285465260617904,0,-32.285465260617904,stop_loss,3 -做多,2025-01-06 17:20:00+00:00,2025-01-06 17:35:00+00:00,3689.85,3673.34,-16.509999999999764,-22.372183151076285,0,-22.372183151076285,time_stop,3 -做空,2025-01-06 18:00:00+00:00,2025-01-06 18:10:00+00:00,3669.788,3676.24,-6.451999999999771,-8.790698536263909,0,-8.790698536263909,reverse,2 -做多,2025-01-06 18:10:00+00:00,2025-01-06 18:35:00+00:00,3673.43,3689.9041885837873,16.47418858378751,22.42344155705636,0,22.42344155705636,tp1,5 -做空,2025-01-06 19:00:00+00:00,2025-01-06 19:10:00+00:00,3678.862,3688.53,-9.66800000000012,-13.13993294665595,0,-13.13993294665595,reverse,2 -做多,2025-01-06 19:10:00+00:00,2025-01-06 20:10:00+00:00,3686.4120000000003,3692.4670329421438,6.055032942143498,8.212637304435177,0,8.212637304435177,trail_stop,12 -做空,2025-01-06 20:35:00+00:00,2025-01-06 20:40:00+00:00,3693.39,3683.4078326382823,9.98216736171753,13.5135571408889,0,13.5135571408889,tp1,1 -做空,2025-01-06 21:00:00+00:00,2025-01-06 21:20:00+00:00,3681.542,3669.947117492887,11.594882507112743,15.747317981314275,0,15.747317981314275,tp1,4 -做空,2025-01-06 21:40:00+00:00,2025-01-06 22:15:00+00:00,3671.6020000000003,3679.02,-7.417999999999665,-10.101857445332671,0,-10.101857445332671,time_stop,7 -做多,2025-01-06 22:35:00+00:00,2025-01-06 22:55:00+00:00,3677.8939068576146,3677.43,-0.463906857614802,-0.6306691674137538,0,-0.6306691674137538,time_stop,4 -做多,2025-01-06 23:15:00+00:00,2025-01-06 23:45:00+00:00,3673.001122007334,3682.188210647312,9.187088639978356,12.506242626680052,0,12.506242626680052,tp1,6 -做空,2025-01-07 00:40:00+00:00,2025-01-07 00:55:00+00:00,3684.072,3674.825757025618,9.246242974382312,12.54894444840154,0,12.54894444840154,tp1,3 -做多,2025-01-07 01:15:00+00:00,2025-01-07 01:20:00+00:00,3675.232171199042,3680.5749151045006,5.342743905458519,7.2685801285248495,0,7.2685801285248495,trail_stop,1 -做多,2025-01-07 01:40:00+00:00,2025-01-07 01:50:00+00:00,3688.242581405731,3691.8673639009758,3.6247824952447445,4.913969750144797,0,4.913969750144797,trail_stop,2 -做多,2025-01-07 02:10:00+00:00,2025-01-07 02:25:00+00:00,3691.675321229763,3686.23,-5.445321229763067,-7.37513561722044,0,-7.37513561722044,time_stop,3 -做空,2025-01-07 02:50:00+00:00,2025-01-07 03:05:00+00:00,3679.4719999999998,3685.61,-6.138000000000375,-8.340870646658509,0,-8.340870646658509,time_stop,3 -做多,2025-01-07 03:35:00+00:00,2025-01-07 03:55:00+00:00,3681.733898833248,3681.48,-0.2538988332480585,-0.34480877790831077,0,-0.34480877790831077,time_stop,4 -做多,2025-01-07 04:25:00+00:00,2025-01-07 04:40:00+00:00,3680.426564070348,3677.15,-3.276564070347831,-4.451337383463689,0,-4.451337383463689,time_stop,3 -做空,2025-01-07 05:05:00+00:00,2025-01-07 05:20:00+00:00,3673.804,3667.8240382197896,5.979961780210488,8.138651082380127,0,8.138651082380127,tp1,3 -做空,2025-01-07 05:40:00+00:00,2025-01-07 05:55:00+00:00,3665.3075748133733,3668.64,-3.3324251866265513,-4.545901153733638,0,-4.545901153733638,time_stop,3 -做多,2025-01-07 06:15:00+00:00,2025-01-07 06:45:00+00:00,3670.574,3669.85,-0.7240000000001601,-0.9862217734885061,0,-0.9862217734885061,time_stop,6 -做空,2025-01-07 07:20:00+00:00,2025-01-07 07:25:00+00:00,3674.760349635827,3671.7254031889165,3.0349464469104532,4.129448124707261,0,4.129448124707261,trail_stop,1 -做空,2025-01-07 08:15:00+00:00,2025-01-07 08:30:00+00:00,3661.4149527358704,3668.6910243117336,-7.27607157586317,-9.936147185975695,0,-9.936147185975695,stop_loss,3 -做空,2025-01-07 08:50:00+00:00,2025-01-07 09:05:00+00:00,3675.42,3669.177007604251,6.242992395749297,8.49289658834813,0,8.49289658834813,tp1,3 -做空,2025-01-07 09:30:00+00:00,2025-01-07 09:40:00+00:00,3664.739778411894,3658.8827912564175,5.856987155476418,7.991000056782379,0,7.991000056782379,tp1,2 -做空,2025-01-07 10:00:00+00:00,2025-01-07 10:05:00+00:00,3659.688188329436,3655.2874311227743,4.400757206661638,6.0124756266058865,0,6.0124756266058865,trail_stop,1 -做空,2025-01-07 10:30:00+00:00,2025-01-07 11:00:00+00:00,3660.694372460164,3653.3458715427305,7.3485009174332845,10.037031461458412,0,10.037031461458412,tp1,6 -做空,2025-01-07 11:35:00+00:00,2025-01-07 11:45:00+00:00,3639.0249817594377,3631.096591792534,7.928389966903524,10.893563532325924,0,10.893563532325924,tp1,2 -做多,2025-01-07 12:40:00+00:00,2025-01-07 13:20:00+00:00,3631.744,3641.483098845691,9.739098845690933,13.408294810552357,0,13.408294810552357,tp1,8 -做多,2025-01-07 13:40:00+00:00,2025-01-07 13:50:00+00:00,3637.278,3634.03,-3.2479999999995925,-4.4648773066006955,0,-4.4648773066006955,reverse,2 -做空,2025-01-07 13:50:00+00:00,2025-01-07 13:55:00+00:00,3639.027247565368,3631.36669623226,7.660551333107833,10.525548191804555,0,10.525548191804555,tp1,1 -做多,2025-01-07 14:25:00+00:00,2025-01-07 14:30:00+00:00,3633.622,3622.67643263423,-10.945567365769875,-15.061510753966532,0,-15.061510753966532,stop_loss,1 -做空,2025-01-07 18:25:00+00:00,2025-01-07 18:35:00+00:00,3431.448,3424.556487444834,6.891512555165718,10.04169749208748,0,10.04169749208748,trail_stop,2 -做空,2025-01-07 18:55:00+00:00,2025-01-07 19:10:00+00:00,3425.8880000000004,3433.72,-7.831999999999425,-11.430613026461202,0,-11.430613026461202,time_stop,3 -做空,2025-01-07 19:35:00+00:00,2025-01-07 19:40:00+00:00,3421.078,3381.725654005996,39.35234599400383,57.514540729565105,0,57.514540729565105,tp2,1 -做空,2025-01-07 21:20:00+00:00,2025-01-07 21:35:00+00:00,3408.2059999999997,3388.0894007174575,20.11659928254221,29.51200614420345,0,29.51200614420345,tp1,3 -做空,2025-01-07 21:55:00+00:00,2025-01-07 22:10:00+00:00,3374.0640000000003,3377.45,-3.3859999999995125,-5.0176878683977435,0,-5.0176878683977435,time_stop,3 -做多,2025-01-07 22:35:00+00:00,2025-01-07 23:10:00+00:00,3379.968,3375.82,-4.1479999999996835,-6.136152768309764,0,-6.136152768309764,time_stop,7 -做多,2025-01-07 23:30:00+00:00,2025-01-07 23:45:00+00:00,3385.0,3376.14,-8.860000000000127,-13.087149187592507,0,-13.087149187592507,time_stop,3 -做多,2025-01-08 00:35:00+00:00,2025-01-08 01:00:00+00:00,3405.6119999999996,3399.19,-6.421999999999571,-9.428554985123924,0,-9.428554985123924,time_stop,5 -做空,2025-01-08 01:25:00+00:00,2025-01-08 01:35:00+00:00,3397.986,3393.5992823309693,4.386717669030531,6.454878962171315,0,6.454878962171315,trail_stop,2 -做空,2025-01-08 02:00:00+00:00,2025-01-08 02:15:00+00:00,3388.6980000000003,3394.58,-5.881999999999607,-8.678849516834498,0,-8.678849516834498,time_stop,3 -做空,2025-01-08 02:40:00+00:00,2025-01-08 02:55:00+00:00,3394.0889823756165,3381.8852313925436,12.20375098307295,17.977947906556075,0,17.977947906556075,tp1,3 -做多,2025-01-08 03:20:00+00:00,2025-01-08 03:35:00+00:00,3373.81,3368.03,-5.779999999999745,-8.565983265210171,0,-8.565983265210171,time_stop,3 -做空,2025-01-08 04:00:00+00:00,2025-01-08 04:10:00+00:00,3356.514,3365.68,-9.165999999999713,-13.654047026170176,0,-13.654047026170176,reverse,2 -做多,2025-01-08 04:10:00+00:00,2025-01-08 04:20:00+00:00,3371.884,3352.61,-19.273999999999887,-28.58046124955646,0,-28.58046124955646,reverse,2 -做空,2025-01-08 04:20:00+00:00,2025-01-08 04:50:00+00:00,3358.876,3351.3766303499233,7.499369650076915,11.16351072513084,0,11.16351072513084,trail_stop,6 -做多,2025-01-08 05:10:00+00:00,2025-01-08 05:15:00+00:00,3344.9860000000003,3363.912071469042,18.926071469041744,28.290210286443266,0,28.290210286443266,tp1,1 -做空,2025-01-08 05:35:00+00:00,2025-01-08 05:50:00+00:00,3363.23,3347.6179927287735,15.612007271226503,23.209841835417894,0,23.209841835417894,tp1,3 -做空,2025-01-08 06:15:00+00:00,2025-01-08 06:25:00+00:00,3350.9739999999997,3335.233094222917,15.740905777082844,23.487060444340727,0,23.487060444340727,tp1,2 -做空,2025-01-08 06:45:00+00:00,2025-01-08 06:55:00+00:00,3325.232,3314.1963832716297,11.035616728370314,16.593754553622595,0,16.593754553622595,trail_stop,2 -做空,2025-01-08 07:15:00+00:00,2025-01-08 07:30:00+00:00,3330.368,3333.97,-3.6019999999998618,-5.407810788477223,0,-5.407810788477223,time_stop,3 -做多,2025-01-08 07:50:00+00:00,2025-01-08 08:10:00+00:00,3349.4959999999996,3356.4015609788516,6.905560978852009,10.308358300550305,0,10.308358300550305,trail_stop,4 -做多,2025-01-08 08:40:00+00:00,2025-01-08 08:55:00+00:00,3368.938,3364.56,-4.378000000000156,-6.4975965719763265,0,-6.4975965719763265,time_stop,3 -做多,2025-01-08 09:15:00+00:00,2025-01-08 09:25:00+00:00,3368.768,3365.12,-3.6480000000001382,-5.414442312442024,0,-5.414442312442024,reverse,2 -做空,2025-01-08 09:25:00+00:00,2025-01-08 09:30:00+00:00,3367.864063725255,3357.970457127267,9.89360659798831,14.688251085533443,0,14.688251085533443,tp1,1 -做空,2025-01-08 10:10:00+00:00,2025-01-08 10:20:00+00:00,3355.669270893675,3362.99,-7.320729106324961,-10.90800152718167,0,-10.90800152718167,reverse,2 -做多,2025-01-08 10:20:00+00:00,2025-01-08 10:25:00+00:00,3361.328,3367.4594687600807,6.131468760080679,9.120604653994908,0,9.120604653994908,trail_stop,1 -做空,2025-01-08 11:05:00+00:00,2025-01-08 11:10:00+00:00,3363.8420611743,3352.522739391858,11.319321782441875,16.8249899617617,0,16.8249899617617,tp1,1 -做空,2025-01-08 11:30:00+00:00,2025-01-08 11:35:00+00:00,3348.5299999999997,3334.876178263911,13.653821736088958,20.387784693714792,0,20.387784693714792,tp1,1 -做多,2025-01-08 11:55:00+00:00,2025-01-08 12:30:00+00:00,3347.412,3343.17,-4.241999999999734,-6.336238264067486,0,-6.336238264067486,time_stop,7 -做空,2025-01-08 12:50:00+00:00,2025-01-08 13:00:00+00:00,3345.008,3363.866730662813,-18.858730662813286,-28.189365560281598,0,-28.189365560281598,stop_loss,2 -做多,2025-01-08 13:20:00+00:00,2025-01-08 13:35:00+00:00,3356.592,3354.49,-2.1020000000003165,-3.1311520732938596,0,-3.1311520732938596,time_stop,3 -做空,2025-01-08 13:55:00+00:00,2025-01-08 14:15:00+00:00,3358.994,3360.24,-1.2459999999996398,-1.8547219792587302,0,-1.8547219792587302,time_stop,4 -做空,2025-01-08 14:35:00+00:00,2025-01-08 14:40:00+00:00,3374.1040000000003,3355.0759843390915,19.02801566090875,28.197138649118028,0,28.197138649118028,tp1,1 -做空,2025-01-08 15:05:00+00:00,2025-01-08 15:10:00+00:00,3375.312,3355.7672076144468,19.544792385553137,28.952571474212068,0,28.952571474212068,tp1,1 -做多,2025-01-08 15:55:00+00:00,2025-01-08 16:10:00+00:00,3344.4539999999997,3335.4,-9.053999999999633,-13.53584172483705,0,-13.53584172483705,time_stop,3 -做空,2025-01-08 16:40:00+00:00,2025-01-08 16:45:00+00:00,3337.112,3318.4181985876116,18.69380141238844,28.008951171534605,0,28.008951171534605,tp1,1 -做多,2025-01-08 20:20:00+00:00,2025-01-08 21:10:00+00:00,3278.0240000000003,3276.8,-1.22400000000016,-1.86697839918219,0,-1.86697839918219,time_stop,10 -做多,2025-01-08 21:35:00+00:00,2025-01-08 21:40:00+00:00,3287.6440000000002,3293.9859186594667,6.341918659466501,9.64508118802781,0,9.64508118802781,trail_stop,1 -做多,2025-01-08 22:05:00+00:00,2025-01-08 22:10:00+00:00,3300.86,3315.463628972484,14.603628972483875,22.120945711850663,0,22.120945711850663,tp1,1 -做多,2025-01-08 22:30:00+00:00,2025-01-08 22:40:00+00:00,3315.608,3329.542647805022,13.934647805021996,21.013714234345546,0,21.013714234345546,tp1,2 -做空,2025-01-08 23:00:00+00:00,2025-01-08 23:30:00+00:00,3330.022,3316.0297532692425,13.992246730757415,21.009240675823488,0,21.009240675823488,tp1,6 -做空,2025-01-08 23:50:00+00:00,2025-01-09 00:00:00+00:00,3328.1000000000004,3323.575586716813,4.524413283187187,6.797291672706929,0,6.797291672706929,trail_stop,2 -做空,2025-01-09 00:35:00+00:00,2025-01-09 00:45:00+00:00,3318.257867722519,3329.55,-11.29213227748096,-17.015151817045634,0,-17.015151817045634,reverse,2 -做多,2025-01-09 00:45:00+00:00,2025-01-09 00:50:00+00:00,3327.03,3336.9467454404326,9.91674544043235,14.903300301518698,0,14.903300301518698,tp1,1 -做多,2025-01-09 01:15:00+00:00,2025-01-09 01:20:00+00:00,3339.842,3350.605146530993,10.763146530992799,16.11325705077186,0,16.11325705077186,tp1,1 -做多,2025-01-09 01:40:00+00:00,2025-01-09 01:55:00+00:00,3351.5347939762637,3344.64,-6.894793976263827,-10.286024761932781,0,-10.286024761932781,time_stop,3 -做多,2025-01-09 02:15:00+00:00,2025-01-09 02:30:00+00:00,3333.86,3329.1,-4.760000000000218,-7.138872058215129,0,-7.138872058215129,time_stop,3 -做多,2025-01-09 02:55:00+00:00,2025-01-09 03:05:00+00:00,3339.568,3325.31,-14.258000000000266,-21.347072435716633,0,-21.347072435716633,reverse,2 -做空,2025-01-09 03:05:00+00:00,2025-01-09 03:20:00+00:00,3323.696,3328.48,-4.7840000000001055,-7.196807409582744,0,-7.196807409582744,time_stop,3 -做空,2025-01-09 03:40:00+00:00,2025-01-09 03:55:00+00:00,3323.278,3324.06,-0.7820000000001528,-1.1765491782513422,0,-1.1765491782513422,time_stop,3 -做多,2025-01-09 04:15:00+00:00,2025-01-09 04:30:00+00:00,3316.39,3319.9024529712797,3.5124529712797994,5.295596976350489,0,5.295596976350489,trail_stop,3 -做多,2025-01-09 04:50:00+00:00,2025-01-09 04:55:00+00:00,3327.5938420560706,3337.6522548726725,10.058412816601958,15.113642610882787,0,15.113642610882787,tp1,1 -做多,2025-01-09 05:20:00+00:00,2025-01-09 05:35:00+00:00,3334.1704799999998,3329.77,-4.400479999999789,-6.599062685000721,0,-6.599062685000721,time_stop,3 -做空,2025-01-09 05:55:00+00:00,2025-01-09 06:15:00+00:00,3327.948,3330.44,-2.492000000000189,-3.744048885379503,0,-3.744048885379503,time_stop,4 -做空,2025-01-09 06:35:00+00:00,2025-01-09 06:50:00+00:00,3324.328,3320.2366155122354,4.0913844877645715,6.153701571813269,0,6.153701571813269,trail_stop,3 -做空,2025-01-09 07:10:00+00:00,2025-01-09 07:15:00+00:00,3317.28,3308.408896985549,8.871103014451364,13.371049496050022,0,13.371049496050022,tp1,1 -做空,2025-01-09 07:40:00+00:00,2025-01-09 08:05:00+00:00,3293.307568902669,3266.7976855249044,26.50988337776471,40.24811351980375,0,40.24811351980375,tp2,5 -做空,2025-01-09 08:25:00+00:00,2025-01-09 08:35:00+00:00,3286.018,3306.274496341395,-20.256496341395177,-30.82225407985467,0,-30.82225407985467,stop_loss,2 -做多,2025-01-09 09:05:00+00:00,2025-01-09 09:50:00+00:00,3315.2999999999997,3314.61,-0.6899999999995998,-1.0406298072566584,0,-1.0406298072566584,time_stop,9 -做空,2025-01-09 10:10:00+00:00,2025-01-09 10:15:00+00:00,3317.7599999999998,3306.298334206735,11.461665793264729,17.273199075980074,0,17.273199075980074,tp1,1 -做空,2025-01-09 10:40:00+00:00,2025-01-09 10:50:00+00:00,3299.3019999999997,3310.01,-10.708000000000538,-16.22767482334224,0,-16.22767482334224,reverse,2 -做多,2025-01-09 10:50:00+00:00,2025-01-09 11:15:00+00:00,3305.064,3314.4108387660845,9.346838766084602,14.140178172169438,0,14.140178172169438,trail_stop,5 -做空,2025-01-09 11:35:00+00:00,2025-01-09 11:40:00+00:00,3310.746,3297.326647932877,13.419352067122873,20.26635698891258,0,20.26635698891258,tp1,1 -做空,2025-01-09 12:30:00+00:00,2025-01-09 12:35:00+00:00,3303.9346810025895,3297.738746219743,6.195934782846507,9.376599995261303,0,9.376599995261303,trail_stop,1 -做空,2025-01-09 13:00:00+00:00,2025-01-09 13:10:00+00:00,3294.3392043358244,3282.075977082377,12.26322725344744,18.612575227996054,0,18.612575227996054,tp1,2 -做空,2025-01-09 13:30:00+00:00,2025-01-09 13:35:00+00:00,3285.75,3257.3011528732504,28.44884712674957,43.291253331430525,0,43.291253331430525,tp2,1 -做多,2025-01-09 14:50:00+00:00,2025-01-09 14:55:00+00:00,3234.564,3242.250186451159,7.686186451159301,11.881333080995308,0,11.881333080995308,trail_stop,1 -做多,2025-01-09 15:15:00+00:00,2025-01-09 15:20:00+00:00,3257.5780000000004,3278.323048931311,20.74504893131052,31.841215975965145,0,31.841215975965145,tp1,1 -做多,2025-01-09 15:50:00+00:00,2025-01-09 16:15:00+00:00,3315.7339999999995,3309.72,-6.013999999999669,-9.068881882563062,0,-9.068881882563062,time_stop,5 -做多,2025-01-09 16:50:00+00:00,2025-01-09 17:00:00+00:00,3303.0559999999996,3294.03,-9.025999999999385,-13.66310471272571,0,-13.66310471272571,reverse,2 -做空,2025-01-09 17:00:00+00:00,2025-01-09 17:15:00+00:00,3299.09,3281.895276585374,17.19472341462597,26.059797420843275,0,26.059797420843275,tp1,3 -做空,2025-01-09 17:45:00+00:00,2025-01-09 17:50:00+00:00,3269.7000000000003,3251.0270480578797,18.672951942120562,28.5545339666033,0,28.5545339666033,tp1,1 -做多,2025-01-09 18:20:00+00:00,2025-01-09 19:00:00+00:00,3253.266,3251.34,-1.9259999999999309,-2.9601022480177317,0,-2.9601022480177317,time_stop,8 -做空,2025-01-09 19:20:00+00:00,2025-01-09 19:25:00+00:00,3258.1940000000004,3242.0012278715826,16.1927721284178,24.84930628504288,0,24.84930628504288,tp1,1 -做空,2025-01-09 19:45:00+00:00,2025-01-09 19:55:00+00:00,3225.6059999999998,3190.3597570572306,35.246242942769186,54.635071584640514,0,54.635071584640514,tp2,2 -做多,2025-01-09 21:20:00+00:00,2025-01-09 21:40:00+00:00,3219.25,3214.29,-4.960000000000036,-7.7036576842432805,0,-7.7036576842432805,time_stop,4 -做空,2025-01-09 22:05:00+00:00,2025-01-09 22:10:00+00:00,3209.2180000000003,3190.6373739791316,18.58062602086875,28.94883741283507,0,28.94883741283507,tp1,1 -做多,2025-01-09 22:30:00+00:00,2025-01-09 22:35:00+00:00,3217.1639999999998,3234.8181162815627,17.654116281562892,27.43738939258753,0,27.43738939258753,tp1,1 -做空,2025-01-09 23:15:00+00:00,2025-01-09 23:25:00+00:00,3223.034,3217.419246986811,5.614753013189329,8.710353370751486,0,8.710353370751486,trail_stop,2 -做多,2025-01-09 23:50:00+00:00,2025-01-10 00:10:00+00:00,3212.654,3226.2857796953567,13.631779695356727,21.21576070027573,0,21.21576070027573,tp1,4 -做多,2025-01-10 00:35:00+00:00,2025-01-10 01:05:00+00:00,3219.4759999999997,3215.76,-3.7159999999994398,-5.771125487500823,0,-5.771125487500823,time_stop,6 -做多,2025-01-10 01:25:00+00:00,2025-01-10 01:40:00+00:00,3221.014,3234.2868092750746,13.27280927507445,20.603464118868235,0,20.603464118868235,tp1,3 -做多,2025-01-10 02:00:00+00:00,2025-01-10 02:15:00+00:00,3237.57,3231.26,-6.309999999999945,-9.744963043270022,0,-9.744963043270022,time_stop,3 -做空,2025-01-10 02:35:00+00:00,2025-01-10 03:10:00+00:00,3245.56,3246.93,-1.3699999999998909,-2.1105756787732948,0,-2.1105756787732948,time_stop,7 -做多,2025-01-10 03:30:00+00:00,2025-01-10 04:10:00+00:00,3248.7059999999997,3260.1899062757134,11.483906275713707,17.674585320607203,0,17.674585320607203,tp1,8 -做多,2025-01-10 04:50:00+00:00,2025-01-10 05:15:00+00:00,3249.0339999999997,3245.38,-3.6539999999995416,-5.62320985252777,0,-5.62320985252777,time_stop,5 -做多,2025-01-10 05:35:00+00:00,2025-01-10 05:40:00+00:00,3258.87924018391,3270.0472630117774,11.16802282786739,17.134760150298078,0,17.134760150298078,tp1,1 -做多,2025-01-10 06:05:00+00:00,2025-01-10 06:15:00+00:00,3260.196682258797,3264.34225104586,4.1455687870629845,6.357850754253829,0,6.357850754253829,trail_stop,2 -做多,2025-01-10 06:35:00+00:00,2025-01-10 06:45:00+00:00,3263.5222639999997,3273.9316456276592,10.409381627659513,15.948078158506345,0,15.948078158506345,tp1,2 -做多,2025-01-10 07:10:00+00:00,2025-01-10 07:15:00+00:00,3272.0320894351034,3276.9904842058286,4.9583947707251355,7.576934814812853,0,7.576934814812853,trail_stop,1 -做多,2025-01-10 07:35:00+00:00,2025-01-10 07:40:00+00:00,3289.8801935983543,3301.136524388238,11.256330789883577,17.107508674307986,0,17.107508674307986,tp1,1 -做多,2025-01-10 08:05:00+00:00,2025-01-10 08:30:00+00:00,3292.983352,3289.12,-3.8633520000003045,-5.866036337010161,0,-5.866036337010161,time_stop,5 -做多,2025-01-10 08:50:00+00:00,2025-01-10 09:15:00+00:00,3291.164116754008,3300.922021778465,9.757905024457159,14.824397505404766,0,14.824397505404766,tp1,5 -做空,2025-01-10 09:40:00+00:00,2025-01-10 09:45:00+00:00,3305.666,3296.5352483556,9.130751644400334,13.81075953287527,0,13.81075953287527,tp1,1 -做多,2025-01-10 10:05:00+00:00,2025-01-10 10:25:00+00:00,3301.8150371177253,3298.49,-3.3250371177255147,-5.035165629126308,0,-5.035165629126308,time_stop,4 -做多,2025-01-10 10:50:00+00:00,2025-01-10 10:55:00+00:00,3304.9296807205887,3312.8915208465137,7.961840125924937,12.045400197726721,0,12.045400197726721,tp1,1 -做空,2025-01-10 11:15:00+00:00,2025-01-10 11:30:00+00:00,3306.668,3297.454560346093,9.213439653907244,13.931606762316695,0,13.931606762316695,tp1,3 -做空,2025-01-10 12:40:00+00:00,2025-01-10 12:50:00+00:00,3297.016,3305.01,-7.994000000000142,-12.123083418461029,0,-12.123083418461029,reverse,2 -做多,2025-01-10 12:50:00+00:00,2025-01-10 12:55:00+00:00,3301.9666699469935,3306.411658332787,4.444988385793295,6.730819584354935,0,6.730819584354935,trail_stop,1 -做空,2025-01-10 13:30:00+00:00,2025-01-10 13:35:00+00:00,3299.176,3236.7970500072597,62.37894999274022,94.53716623899456,0,94.53716623899456,tp3,1 -做空,2025-01-10 16:30:00+00:00,2025-01-10 16:45:00+00:00,3241.112,3253.1,-11.987999999999829,-18.49365279570689,0,-18.49365279570689,time_stop,3 -做空,2025-01-10 17:05:00+00:00,2025-01-10 17:15:00+00:00,3245.246,3264.49,-19.243999999999687,-29.649524257944833,0,-29.649524257944833,reverse,2 -做多,2025-01-10 17:15:00+00:00,2025-01-10 17:20:00+00:00,3249.1639999999998,3269.0042823809304,19.840282380930603,30.531364961772635,0,30.531364961772635,tp1,1 -做空,2025-01-10 18:00:00+00:00,2025-01-10 18:30:00+00:00,3308.464,3285.899729065803,22.564270934196884,34.100825842742864,0,34.100825842742864,tp1,6 -做空,2025-01-10 18:50:00+00:00,2025-01-10 19:05:00+00:00,3288.688,3270.662330873068,18.025669126931916,27.405562836808958,0,27.405562836808958,tp1,3 -做多,2025-01-10 19:35:00+00:00,2025-01-10 20:05:00+00:00,3286.102,3285.47,-0.6320000000000618,-0.9616256586071612,0,-0.9616256586071612,time_stop,6 -做空,2025-01-10 20:25:00+00:00,2025-01-10 20:35:00+00:00,3270.234,3265.579576450528,4.654423549472085,7.116346337100167,0,7.116346337100167,trail_stop,2 -做空,2025-01-10 20:55:00+00:00,2025-01-10 21:20:00+00:00,3265.29,3267.65,-2.3600000000001273,-3.6137678429789197,0,-3.6137678429789197,time_stop,5 -做多,2025-01-10 21:40:00+00:00,2025-01-10 21:55:00+00:00,3267.320132835893,3264.13,-3.1901328358931096,-4.881879806990647,0,-4.881879806990647,time_stop,3 -做多,2025-01-10 22:35:00+00:00,2025-01-10 22:40:00+00:00,3270.332,3278.19737178793,7.865371787930144,12.02534144534889,0,12.02534144534889,tp1,1 -做多,2025-01-10 23:25:00+00:00,2025-01-10 23:45:00+00:00,3269.468,3268.6,-0.8679999999999382,-1.3274330869730768,0,-1.3274330869730768,time_stop,4 -做空,2025-01-11 00:30:00+00:00,2025-01-11 00:50:00+00:00,3262.3423985440536,3263.0,-0.6576014559464056,-1.007867010280536,0,-1.007867010280536,time_stop,4 -做空,2025-01-11 01:20:00+00:00,2025-01-11 01:35:00+00:00,3250.669526035653,3242.8375316270976,7.831994408555147,12.046740441970796,0,12.046740441970796,tp1,3 -做空,2025-01-11 01:55:00+00:00,2025-01-11 02:10:00+00:00,3242.8054320423016,3244.8,-1.994567957698564,-3.075374085028585,0,-3.075374085028585,time_stop,3 -做空,2025-01-11 02:40:00+00:00,2025-01-11 03:00:00+00:00,3248.58,3245.3817099109956,3.198290089004331,4.922597087041616,0,4.922597087041616,trail_stop,4 -做多,2025-01-11 03:45:00+00:00,2025-01-11 03:55:00+00:00,3240.4059999999995,3235.88,-4.525999999999385,-6.983692784174862,0,-6.983692784174862,reverse,2 -做空,2025-01-11 03:55:00+00:00,2025-01-11 04:15:00+00:00,3238.893595731246,3238.91,-0.016404268753831275,-0.02532387722685851,0,-0.02532387722685851,time_stop,4 -做多,2025-01-11 04:45:00+00:00,2025-01-11 05:15:00+00:00,3236.0779999999995,3234.76,-1.3179999999993015,-2.036415685900188,0,-2.036415685900188,time_stop,6 -做多,2025-01-11 05:35:00+00:00,2025-01-11 05:55:00+00:00,3237.8360000000002,3244.7155731054427,6.879573105442432,10.623720758930396,0,10.623720758930396,tp1,4 -做多,2025-01-11 06:20:00+00:00,2025-01-11 06:35:00+00:00,3245.6059999999998,3245.15,-0.4559999999996762,-0.7024882256190003,0,-0.7024882256190003,time_stop,3 -做空,2025-01-11 06:55:00+00:00,2025-01-11 07:10:00+00:00,3240.480342737295,3242.55,-2.0696572627052774,-3.193442088522282,0,-3.193442088522282,time_stop,3 -做空,2025-01-11 07:30:00+00:00,2025-01-11 07:40:00+00:00,3231.8975529551653,3225.218100640038,6.679452315127492,10.333638683905635,0,10.333638683905635,tp1,2 -做空,2025-01-11 08:00:00+00:00,2025-01-11 08:15:00+00:00,3233.9419572737856,3236.64,-2.6980427262142257,-4.1714458111188195,0,-4.1714458111188195,time_stop,3 -做空,2025-01-11 08:35:00+00:00,2025-01-11 08:50:00+00:00,3229.239896308451,3222.0820567584296,7.157839550021436,11.082855067850511,0,11.082855067850511,tp1,3 -做多,2025-01-11 09:10:00+00:00,2025-01-11 09:20:00+00:00,3228.4599999999996,3232.171652560117,3.7116525601172725,5.748332889546831,0,5.748332889546831,trail_stop,2 -做空,2025-01-11 09:45:00+00:00,2025-01-11 09:55:00+00:00,3239.54,3243.01,-3.4700000000002547,-5.355698648573956,0,-5.355698648573956,reverse,2 -做多,2025-01-11 09:55:00+00:00,2025-01-11 10:00:00+00:00,3236.252,3243.4969252836117,7.244925283611792,11.193388653930212,0,11.193388653930212,tp1,1 -做多,2025-01-11 10:20:00+00:00,2025-01-11 10:55:00+00:00,3246.852,3254.3251299396916,7.473129939691717,11.508270071582746,0,11.508270071582746,tp1,7 -做多,2025-01-11 11:15:00+00:00,2025-01-11 11:20:00+00:00,3262.548,3272.2954060506845,9.74740605068473,14.938333552004034,0,14.938333552004034,tp1,1 -做多,2025-01-11 12:35:00+00:00,2025-01-11 12:55:00+00:00,3273.266618992967,3271.65,-1.616618992966778,-2.469427610305905,0,-2.469427610305905,time_stop,4 -做空,2025-01-11 13:15:00+00:00,2025-01-11 13:30:00+00:00,3268.4159999999997,3265.687298292279,2.7287017077205746,4.174348840111808,0,4.174348840111808,trail_stop,3 -做多,2025-01-11 13:50:00+00:00,2025-01-11 14:10:00+00:00,3262.561926952616,3262.41,-0.15192695261612243,-0.2328338220357234,0,-0.2328338220357234,time_stop,4 -做多,2025-01-11 14:30:00+00:00,2025-01-11 14:35:00+00:00,3260.0968181126404,3275.604396947964,15.50757883532333,23.783923761351808,0,23.783923761351808,tp2,1 -做多,2025-01-11 14:55:00+00:00,2025-01-11 15:00:00+00:00,3271.8798156773023,3280.2372299168824,8.357414239580066,12.771578894089089,0,12.771578894089089,tp1,1 -做多,2025-01-11 15:25:00+00:00,2025-01-11 15:45:00+00:00,3270.851472,3269.33,-1.5214719999999033,-2.3258041721313347,0,-2.3258041721313347,time_stop,4 -做多,2025-01-11 16:30:00+00:00,2025-01-11 16:35:00+00:00,3268.3248568381523,3276.4084199959702,8.083563157817935,12.366523390269943,0,12.366523390269943,tp1,1 -做空,2025-01-11 17:05:00+00:00,2025-01-11 17:10:00+00:00,3271.226,3263.2831044589393,7.942895541060807,12.140548438201467,0,12.140548438201467,tp1,1 -做多,2025-01-11 17:30:00+00:00,2025-01-11 17:50:00+00:00,3268.3190920688394,3268.03,-0.2890920688391816,-0.44226414357875155,0,-0.44226414357875155,time_stop,4 -做多,2025-01-11 18:10:00+00:00,2025-01-11 18:35:00+00:00,3271.315062858614,3267.17,-4.145062858613983,-6.335468731941477,0,-6.335468731941477,time_stop,5 -做多,2025-01-11 19:00:00+00:00,2025-01-11 19:05:00+00:00,3282.4274231136033,3272.616241416622,-9.811181696981293,-14.945009336527427,0,-14.945009336527427,stop_loss,1 -做空,2025-01-11 19:30:00+00:00,2025-01-11 19:55:00+00:00,3274.934,3277.47,-2.5359999999996035,-3.8718337529849505,0,-3.8718337529849505,time_stop,5 -做多,2025-01-11 20:15:00+00:00,2025-01-11 20:25:00+00:00,3277.319111738211,3284.626297105143,7.307185366931662,11.148113927569458,0,11.148113927569458,tp1,2 -做多,2025-01-11 20:45:00+00:00,2025-01-11 20:50:00+00:00,3287.650735728921,3295.6962734967724,8.045537767851329,12.235998307873043,0,12.235998307873043,tp1,1 -做多,2025-01-11 21:15:00+00:00,2025-01-11 21:20:00+00:00,3307.7657583969108,3316.684175260457,8.9184168635461,13.481028456906751,0,13.481028456906751,tp1,1 -做多,2025-01-11 21:40:00+00:00,2025-01-11 21:55:00+00:00,3305.883357452153,3305.69,-0.19335745215312272,-0.2924444562105534,0,-0.2924444562105534,time_stop,3 -做空,2025-01-11 22:15:00+00:00,2025-01-11 22:20:00+00:00,3301.446,3292.513871449457,8.932128550542984,13.527600558275047,0,13.527600558275047,tp1,1 -做空,2025-01-11 22:40:00+00:00,2025-01-11 22:50:00+00:00,3292.342,3288.8018087482715,3.540191251728629,5.37640265156024,0,5.37640265156024,trail_stop,2 -做多,2025-01-11 23:20:00+00:00,2025-01-11 23:40:00+00:00,3288.309370275942,3286.39,-1.9193702759421285,-2.918475818139129,0,-2.918475818139129,time_stop,4 -做多,2025-01-12 00:35:00+00:00,2025-01-12 01:00:00+00:00,3281.292298952221,3279.84,-1.4522989522206444,-2.2129984468076667,0,-2.2129984468076667,time_stop,5 -做空,2025-01-12 01:20:00+00:00,2025-01-12 01:35:00+00:00,3278.1159999999995,3280.31,-2.1940000000004147,-3.3464343543675925,0,-3.3464343543675925,time_stop,3 -做多,2025-01-12 01:55:00+00:00,2025-01-12 02:05:00+00:00,3287.5441405796682,3281.53,-6.014140579668037,-9.146859057240839,0,-9.146859057240839,reverse,2 -做空,2025-01-12 02:05:00+00:00,2025-01-12 02:30:00+00:00,3283.824,3285.64,-1.8159999999998035,-2.7650690170968413,0,-2.7650690170968413,time_stop,5 -做多,2025-01-12 02:55:00+00:00,2025-01-12 03:15:00+00:00,3284.2339382967,3281.47,-2.7639382967004167,-4.207888884635721,0,-4.207888884635721,time_stop,4 -做多,2025-01-12 03:55:00+00:00,2025-01-12 04:25:00+00:00,3280.19294874156,3286.0764105221438,5.88346178058373,8.96816417894092,0,8.96816417894092,tp1,6 -做空,2025-01-12 04:50:00+00:00,2025-01-12 05:05:00+00:00,3281.674,3283.19,-1.5160000000000764,-2.3097967683567537,0,-2.3097967683567537,time_stop,3 -做空,2025-01-12 05:35:00+00:00,2025-01-12 05:55:00+00:00,3277.696,3278.51,-0.8140000000003056,-1.2417258952634802,0,-1.2417258952634802,time_stop,4 -做空,2025-01-12 06:25:00+00:00,2025-01-12 06:35:00+00:00,3275.01,3270.0345157746074,4.975484225392847,7.596135928428993,0,7.596135928428993,tp1,2 -做空,2025-01-12 06:55:00+00:00,2025-01-12 07:05:00+00:00,3271.9440901769203,3266.685006008065,5.259084168855225,8.036635137874338,0,8.036635137874338,tp1,2 -做空,2025-01-12 07:25:00+00:00,2025-01-12 07:40:00+00:00,3268.930606233166,3266.7149680441494,2.2156381890167722,3.3889342661358643,0,3.3889342661358643,trail_stop,3 -做多,2025-01-12 08:00:00+00:00,2025-01-12 08:20:00+00:00,3266.216,3265.03,-1.1859999999996944,-1.8155565951542925,0,-1.8155565951542925,time_stop,4 -做空,2025-01-12 08:45:00+00:00,2025-01-12 08:50:00+00:00,3249.902064888861,3241.9453948441533,7.956670044707607,12.241399718886155,0,12.241399718886155,tp1,1 -做空,2025-01-12 09:15:00+00:00,2025-01-12 09:20:00+00:00,3241.583469229307,3238.6408697054926,2.9425995238143514,4.538830407649445,0,4.538830407649445,trail_stop,1 -做空,2025-01-12 09:40:00+00:00,2025-01-12 09:50:00+00:00,3233.7755689194632,3239.34,-5.564431080536906,-8.603613581007123,0,-8.603613581007123,reverse,2 -做多,2025-01-12 09:50:00+00:00,2025-01-12 10:05:00+00:00,3238.2679999999996,3236.39,-1.8779999999997017,-2.8996982337467156,0,-2.8996982337467156,time_stop,3 -做空,2025-01-12 10:30:00+00:00,2025-01-12 10:45:00+00:00,3237.0842742723953,3243.57,-6.4857257276048585,-10.017851217455043,0,-10.017851217455043,time_stop,3 -做多,2025-01-12 11:15:00+00:00,2025-01-12 11:35:00+00:00,3245.914,3249.1671129960187,3.2531129960184444,5.011089320324635,0,5.011089320324635,trail_stop,4 -做多,2025-01-12 12:45:00+00:00,2025-01-12 12:55:00+00:00,3257.758,3249.0446306271383,-8.713369372861507,-13.37326064867542,0,-13.37326064867542,stop_loss,2 -做多,2025-01-12 13:15:00+00:00,2025-01-12 13:20:00+00:00,3256.7839999999997,3259.9987579247504,3.2147579247507565,4.935479179384872,0,4.935479179384872,trail_stop,1 -做多,2025-01-12 13:45:00+00:00,2025-01-12 13:50:00+00:00,3259.922,3267.5508883398747,7.62888833987472,11.70102895080729,0,11.70102895080729,tp1,1 -做空,2025-01-12 14:10:00+00:00,2025-01-12 14:30:00+00:00,3272.764,3274.82,-2.05600000000004,-3.14107586125984,0,-3.14107586125984,time_stop,4 -做空,2025-01-12 15:00:00+00:00,2025-01-12 15:15:00+00:00,3267.7888855400597,3277.3107603552944,-9.521874815234696,-14.569293104228548,0,-14.569293104228548,stop_loss,3 -做多,2025-01-12 15:55:00+00:00,2025-01-12 16:10:00+00:00,3284.2471813207494,3273.01,-11.237181320749187,-17.107697290053228,0,-17.107697290053228,time_stop,3 -做多,2025-01-12 16:30:00+00:00,2025-01-12 16:50:00+00:00,3276.129392,3275.1,-1.0293919999999162,-1.5710490594687663,0,-1.5710490594687663,time_stop,4 -做多,2025-01-12 17:10:00+00:00,2025-01-12 17:15:00+00:00,3281.863991823562,3290.4239900438683,8.55999822030617,13.041366494212669,0,13.041366494212669,tp1,1 -做多,2025-01-12 17:35:00+00:00,2025-01-12 17:40:00+00:00,3280.312681562483,3288.939962232893,8.627280670410073,13.150088890765005,0,13.150088890765005,tp1,1 -做多,2025-01-12 18:05:00+00:00,2025-01-12 18:10:00+00:00,3290.6702757451258,3298.647256952352,7.976981207226345,12.12060239827594,0,12.12060239827594,tp1,1 -做空,2025-01-12 18:30:00+00:00,2025-01-12 18:35:00+00:00,3291.98,3284.8536324296992,7.126367570300772,10.823831812922272,0,10.823831812922272,tp1,1 -做多,2025-01-12 19:05:00+00:00,2025-01-12 19:20:00+00:00,3284.6,3279.99,-4.610000000000127,-7.017597272118564,0,-7.017597272118564,time_stop,3 -做多,2025-01-12 19:45:00+00:00,2025-01-12 20:00:00+00:00,3277.8240448017564,3281.4918498886623,3.6678050869059007,5.594877938494911,0,5.594877938494911,trail_stop,3 -做多,2025-01-12 20:20:00+00:00,2025-01-12 20:30:00+00:00,3283.3997722732533,3279.73,-3.6697722732533293,-5.588372613415533,0,-5.588372613415533,reverse,2 -做空,2025-01-12 20:30:00+00:00,2025-01-12 20:40:00+00:00,3281.774,3278.5582416746925,3.2157583253074336,4.899420748210318,0,4.899420748210318,trail_stop,2 -做空,2025-01-12 21:10:00+00:00,2025-01-12 21:15:00+00:00,3276.2059999999997,3263.7390848210707,12.466915178928957,19.026451906456675,0,19.026451906456675,tp2,1 -做空,2025-01-12 21:35:00+00:00,2025-01-12 21:45:00+00:00,3271.428,3263.01437631542,8.413623684579761,12.859252419096128,0,12.859252419096128,tp1,2 -做空,2025-01-12 22:05:00+00:00,2025-01-12 22:10:00+00:00,3264.726,3247.090892991406,17.635107008594332,27.008556014492996,0,27.008556014492996,tp2,1 -做多,2025-01-12 23:10:00+00:00,2025-01-12 23:30:00+00:00,3244.56,3255.689934088626,11.129934088626214,17.151684802602226,0,17.151684802602226,tp1,4 -做多,2025-01-12 23:55:00+00:00,2025-01-13 00:00:00+00:00,3264.4880000000003,3273.569317879942,9.081317879941707,13.909252966991618,0,13.909252966991618,tp1,1 -做多,2025-01-13 00:30:00+00:00,2025-01-13 00:35:00+00:00,3306.938,3323.3740724880518,16.43607248805165,24.85089301349413,0,24.85089301349413,tp1,1 -做空,2025-01-13 01:00:00+00:00,2025-01-13 01:10:00+00:00,3306.014,3299.296846060736,6.717153939264335,10.158991975327893,0,10.158991975327893,trail_stop,2 -做空,2025-01-13 01:35:00+00:00,2025-01-13 01:40:00+00:00,3302.61,3284.3210489458306,18.2889510541695,27.68863270893248,0,27.68863270893248,tp1,1 -做空,2025-01-13 02:05:00+00:00,2025-01-13 02:15:00+00:00,3257.282,3266.3,-9.018000000000029,-13.842829696661248,0,-13.842829696661248,reverse,2 -做多,2025-01-13 02:15:00+00:00,2025-01-13 02:30:00+00:00,3263.4660000000003,3256.73,-6.736000000000331,-10.320315885013557,0,-10.320315885013557,time_stop,3 -做多,2025-01-13 03:00:00+00:00,2025-01-13 03:15:00+00:00,3257.252,3251.71,-5.541999999999916,-8.507171075495412,0,-8.507171075495412,time_stop,3 -做空,2025-01-13 03:35:00+00:00,2025-01-13 03:45:00+00:00,3257.882,3244.0353877288608,13.846612271139293,21.25094197877531,0,21.25094197877531,tp1,2 -做多,2025-01-13 04:05:00+00:00,2025-01-13 04:35:00+00:00,3246.0420000000004,3243.62,-2.42200000000048,-3.730697261465625,0,-3.730697261465625,time_stop,6 -做空,2025-01-13 04:55:00+00:00,2025-01-13 05:00:00+00:00,3239.970516466303,3228.8122236182603,11.158292848042493,17.219744425656636,0,17.219744425656636,tp1,1 -做空,2025-01-13 05:25:00+00:00,2025-01-13 05:45:00+00:00,3225.567736,3213.5193339928464,12.048402007153527,18.676405199437312,0,18.676405199437312,tp1,4 -做多,2025-01-13 06:10:00+00:00,2025-01-13 06:25:00+00:00,3229.2740000000003,3220.0,-9.274000000000342,-14.359264652055447,0,-14.359264652055447,time_stop,3 -做空,2025-01-13 06:45:00+00:00,2025-01-13 06:50:00+00:00,3204.62,3189.767201172311,14.85279882768873,23.17404064707942,0,23.17404064707942,tp1,1 -做空,2025-01-13 07:10:00+00:00,2025-01-13 07:25:00+00:00,3195.488,3201.62,-6.132000000000062,-9.594778637879507,0,-9.594778637879507,time_stop,3 -做多,2025-01-13 08:00:00+00:00,2025-01-13 08:15:00+00:00,3200.886,3188.39,-12.496000000000095,-19.519595511992765,0,-19.519595511992765,time_stop,3 -做空,2025-01-13 08:40:00+00:00,2025-01-13 09:00:00+00:00,3176.392,3170.122059091625,6.269940908374792,9.869595610955436,0,9.869595610955436,trail_stop,4 -做空,2025-01-13 09:20:00+00:00,2025-01-13 09:25:00+00:00,3169.898,3155.8013970218826,14.096602978117517,22.235105006718694,0,22.235105006718694,tp1,1 -做多,2025-01-13 09:45:00+00:00,2025-01-13 09:55:00+00:00,3162.1279999999997,3155.01,-7.117999999999483,-11.255078858287021,0,-11.255078858287021,reverse,2 -做空,2025-01-13 09:55:00+00:00,2025-01-13 10:20:00+00:00,3156.156,3136.974410674613,19.181589325386994,30.387581167386838,0,30.387581167386838,tp1,5 -做空,2025-01-13 10:40:00+00:00,2025-01-13 10:45:00+00:00,3129.828,3117.6791233136278,12.148876686372205,19.40821777805714,0,19.40821777805714,trail_stop,1 -做空,2025-01-13 11:25:00+00:00,2025-01-13 11:30:00+00:00,3112.272,3077.0260829622234,35.24591703777651,56.6240949341454,0,56.6240949341454,tp2,1 -做空,2025-01-13 11:50:00+00:00,2025-01-13 11:55:00+00:00,3078.1839999999997,3056.7341422722743,21.44985772772543,34.84174066223044,0,34.84174066223044,tp1,1 -做空,2025-01-13 13:35:00+00:00,2025-01-13 13:45:00+00:00,3074.0660000000003,3064.860708124888,9.20529187511238,14.972502013802533,0,14.972502013802533,trail_stop,2 -做空,2025-01-13 16:55:00+00:00,2025-01-13 17:10:00+00:00,3012.574,3017.12,-4.545999999999822,-7.54504287695476,0,-7.54504287695476,time_stop,3 -做多,2025-01-13 17:30:00+00:00,2025-01-13 17:40:00+00:00,3026.8860000000004,3008.63,-18.256000000000313,-30.15640496536756,0,-30.15640496536756,reverse,2 -做空,2025-01-13 17:40:00+00:00,2025-01-13 17:55:00+00:00,3016.694,3019.36,-2.6660000000001673,-4.4187444931440965,0,-4.4187444931440965,time_stop,3 -做空,2025-01-13 18:15:00+00:00,2025-01-13 18:20:00+00:00,3011.016,2988.5467510590474,22.46924894095264,37.31173952737654,0,37.31173952737654,tp1,1 -做空,2025-01-13 18:40:00+00:00,2025-01-13 19:00:00+00:00,3009.118,3013.32,-4.2020000000002256,-6.982112366481184,0,-6.982112366481184,time_stop,4 -做多,2025-01-13 19:25:00+00:00,2025-01-13 19:35:00+00:00,3006.572,3015.2723966925532,8.700396692553113,14.468964476076263,0,14.468964476076263,trail_stop,2 -做多,2025-01-13 19:55:00+00:00,2025-01-13 20:05:00+00:00,3023.172,3016.02,-7.152000000000044,-11.828635618482911,0,-11.828635618482911,reverse,2 -做空,2025-01-13 20:05:00+00:00,2025-01-13 20:20:00+00:00,3016.098,3019.05,-2.9520000000002256,-4.893740190140084,0,-4.893740190140084,time_stop,3 -做多,2025-01-13 20:40:00+00:00,2025-01-13 20:45:00+00:00,3046.3460000000005,3064.745791327683,18.39979132768258,30.199772658264322,0,30.199772658264322,tp1,1 -做多,2025-01-13 21:05:00+00:00,2025-01-13 21:10:00+00:00,3087.734,3096.3854464073665,8.65144640736662,14.00937776273251,0,14.00937776273251,trail_stop,1 -做空,2025-01-13 21:30:00+00:00,2025-01-13 21:40:00+00:00,3101.468,3118.19,-16.722000000000207,-26.958201728988026,0,-26.958201728988026,reverse,2 -做多,2025-01-13 21:40:00+00:00,2025-01-13 22:05:00+00:00,3107.558,3119.434804681106,11.876804681106023,19.109546275734875,0,19.109546275734875,trail_stop,5 -做空,2025-01-13 22:30:00+00:00,2025-01-13 23:15:00+00:00,3134.612,3135.99,-1.3779999999997017,-2.198039183158397,0,-2.198039183158397,time_stop,9 -做多,2025-01-13 23:35:00+00:00,2025-01-14 00:10:00+00:00,3130.5316208144827,3127.06,-3.471620814482776,-5.544778387479681,0,-5.544778387479681,time_stop,7 -做空,2025-01-14 00:30:00+00:00,2025-01-14 00:50:00+00:00,3131.5840000000003,3134.6,-3.0159999999996217,-4.815454415400675,0,-4.815454415400675,time_stop,4 -做多,2025-01-14 01:25:00+00:00,2025-01-14 01:40:00+00:00,3146.1182959999996,3140.46,-5.658295999999609,-8.992503567322329,0,-8.992503567322329,time_stop,3 -做空,2025-01-14 02:05:00+00:00,2025-01-14 02:15:00+00:00,3140.12,3157.1648178464243,-17.044817846424394,-27.140392479307152,0,-27.140392479307152,stop_loss,2 -做多,2025-01-14 02:35:00+00:00,2025-01-14 02:45:00+00:00,3158.2865134601766,3152.19,-6.0965134601765385,-9.651615574131808,0,-9.651615574131808,reverse,2 -做空,2025-01-14 02:45:00+00:00,2025-01-14 03:00:00+00:00,3154.4500000000003,3155.09,-0.6399999999998727,-1.0144399182105797,0,-1.0144399182105797,time_stop,3 -做多,2025-01-14 03:20:00+00:00,2025-01-14 03:50:00+00:00,3164.674144,3158.54,-6.134144000000106,-9.69158864527966,0,-9.69158864527966,time_stop,6 -做多,2025-01-14 04:10:00+00:00,2025-01-14 04:25:00+00:00,3161.2360903686663,3161.02,-0.2160903686663005,-0.3417814463852648,0,-0.3417814463852648,time_stop,3 -做多,2025-01-14 04:50:00+00:00,2025-01-14 05:05:00+00:00,3168.9368947414637,3177.010447946346,8.0735532048825,12.738583116438452,0,12.738583116438452,tp1,3 -做多,2025-01-14 05:35:00+00:00,2025-01-14 05:50:00+00:00,3165.934,3162.89,-3.044000000000324,-4.807428076517583,0,-4.807428076517583,time_stop,3 -做多,2025-01-14 06:15:00+00:00,2025-01-14 06:25:00+00:00,3170.597808210914,3179.0877252445066,8.48991703359252,13.388511484500079,0,13.388511484500079,tp1,2 -做多,2025-01-14 06:55:00+00:00,2025-01-14 07:00:00+00:00,3180.8133454394456,3185.678775068976,4.865429629530354,7.6480904428206395,0,7.6480904428206395,trail_stop,1 -做空,2025-01-14 07:25:00+00:00,2025-01-14 07:50:00+00:00,3179.35,3176.0757128802547,3.2742871197451677,5.14930271870849,0,5.14930271870849,trail_stop,5 -做多,2025-01-14 08:10:00+00:00,2025-01-14 08:15:00+00:00,3178.9021414597737,3187.2447754729023,8.342634013128645,13.121879255612523,0,13.121879255612523,tp1,1 -做多,2025-01-14 08:35:00+00:00,2025-01-14 08:45:00+00:00,3176.013216337159,3186.321639514567,10.308423177407803,16.228558376870247,0,16.228558376870247,tp1,2 -做多,2025-01-14 09:05:00+00:00,2025-01-14 09:10:00+00:00,3179.1027234582807,3188.764393987393,9.661670529112143,15.195593489036458,0,15.195593489036458,tp1,1 -做多,2025-01-14 09:30:00+00:00,2025-01-14 09:40:00+00:00,3235.762,3243.681238150455,7.91923815045493,12.237052895817014,0,12.237052895817014,trail_stop,2 -做空,2025-01-14 10:05:00+00:00,2025-01-14 10:10:00+00:00,3235.826,3221.416606156747,14.409393843252928,22.265402780082933,0,22.265402780082933,tp1,1 -做空,2025-01-14 10:30:00+00:00,2025-01-14 10:50:00+00:00,3229.2619999999997,3234.53,-5.268000000000484,-8.156662420083109,0,-8.156662420083109,time_stop,4 -做空,2025-01-14 11:15:00+00:00,2025-01-14 11:20:00+00:00,3224.6440000000002,3221.1530316996455,3.49096830035478,5.412951476744068,0,5.412951476744068,trail_stop,1 -做多,2025-01-14 11:50:00+00:00,2025-01-14 12:05:00+00:00,3213.4539999999997,3205.43,-8.023999999999887,-12.485008343047525,0,-12.485008343047525,time_stop,3 -做多,2025-01-14 12:30:00+00:00,2025-01-14 12:55:00+00:00,3185.0660000000003,3182.39,-2.6760000000003856,-4.200854864546583,0,-4.200854864546583,time_stop,5 -做多,2025-01-14 13:15:00+00:00,2025-01-14 13:25:00+00:00,3185.7059999999997,3179.48,-6.225999999999658,-9.77177429430032,0,-9.77177429430032,reverse,2 -做空,2025-01-14 13:25:00+00:00,2025-01-14 13:30:00+00:00,3185.202,3199.19713184374,-13.995131843739728,-21.968986337035656,0,-21.968986337035656,stop_loss,1 -做多,2025-01-14 14:10:00+00:00,2025-01-14 14:30:00+00:00,3202.7239999999997,3220.1233144532016,17.399314453201896,27.163306068836867,0,27.163306068836867,tp1,4 -做多,2025-01-14 15:00:00+00:00,2025-01-14 15:10:00+00:00,3194.914,3202.6879053920875,7.773905392087272,12.166063612490463,0,12.166063612490463,trail_stop,2 -做多,2025-01-14 15:40:00+00:00,2025-01-14 16:00:00+00:00,3196.562,3176.63,-19.93199999999979,-31.17724605372865,0,-31.17724605372865,time_stop,4 -做空,2025-01-14 16:35:00+00:00,2025-01-14 16:50:00+00:00,3190.2720000000004,3191.57,-1.2979999999997744,-2.0343093002724757,0,-2.0343093002724757,time_stop,3 -做多,2025-01-14 17:10:00+00:00,2025-01-14 17:30:00+00:00,3198.024,3196.24,-1.7840000000001055,-2.7892223447980777,0,-2.7892223447980777,time_stop,4 -做多,2025-01-14 17:50:00+00:00,2025-01-14 18:00:00+00:00,3205.56,3210.707632895833,5.147632895832885,8.029225620223745,0,8.029225620223745,trail_stop,2 -做多,2025-01-14 18:20:00+00:00,2025-01-14 18:25:00+00:00,3209.3936479999998,3214.096459351228,4.70281135122832,7.326635288505313,0,7.326635288505313,trail_stop,1 -做多,2025-01-14 18:45:00+00:00,2025-01-14 19:00:00+00:00,3224.9869780751733,3221.28,-3.706978075173083,-5.747276036112222,0,-5.747276036112222,time_stop,3 -做多,2025-01-14 19:30:00+00:00,2025-01-14 19:40:00+00:00,3220.5341439999997,3231.5301738550065,10.996029855006782,17.071748603399968,0,17.071748603399968,tp1,2 -做空,2025-01-14 20:00:00+00:00,2025-01-14 20:05:00+00:00,3209.904,3196.8554617247164,13.04853827528359,20.325433837403846,0,20.325433837403846,tp1,1 -做多,2025-01-14 20:25:00+00:00,2025-01-14 20:35:00+00:00,3223.3761190353266,3210.31,-13.066119035326665,-20.267754293651926,0,-20.267754293651926,reverse,2 -做空,2025-01-14 20:35:00+00:00,2025-01-14 20:45:00+00:00,3210.67,3215.33,-4.6599999999998545,-7.257052266349165,0,-7.257052266349165,reverse,2 -做多,2025-01-14 20:45:00+00:00,2025-01-14 21:00:00+00:00,3213.8893566704514,3226.430131674068,12.540775003616545,19.51027806478165,0,19.51027806478165,tp1,3 -做空,2025-01-14 21:30:00+00:00,2025-01-14 21:45:00+00:00,3223.118,3211.719608961345,11.398391038655063,17.682242844747016,0,17.682242844747016,tp1,3 -做多,2025-01-14 22:05:00+00:00,2025-01-14 22:10:00+00:00,3213.6549493223056,3223.199220281978,9.544270959672303,14.849557762392935,0,14.849557762392935,tp1,1 -做多,2025-01-14 22:35:00+00:00,2025-01-14 22:50:00+00:00,3226.591568039362,3235.1100728031543,8.518504763792407,13.200469573173583,0,13.200469573173583,tp1,3 -做空,2025-01-14 23:10:00+00:00,2025-01-14 23:35:00+00:00,3230.85,3224.90135761406,5.94864238593982,9.206002113901636,0,9.206002113901636,trail_stop,5 -做空,2025-01-15 00:30:00+00:00,2025-01-15 00:35:00+00:00,3228.978,3216.6458187915796,12.33218120842048,19.09610596359046,0,19.09610596359046,tp1,1 -做多,2025-01-15 01:05:00+00:00,2025-01-15 01:25:00+00:00,3221.5172423970876,3234.0673377549283,12.550095357840746,19.47854755000844,0,19.47854755000844,tp1,4 -做空,2025-01-15 01:55:00+00:00,2025-01-15 02:20:00+00:00,3230.522,3216.1169772856033,14.405022714396637,22.29519364733724,0,22.29519364733724,tp1,5 -做空,2025-01-15 02:50:00+00:00,2025-01-15 03:05:00+00:00,3214.6639999999998,3215.3,-0.636000000000422,-0.9892169134945706,0,-0.9892169134945706,time_stop,3 -做多,2025-01-15 03:25:00+00:00,2025-01-15 03:35:00+00:00,3214.492952,3219.7275866689624,5.2346346689623715,8.14224007818321,0,8.14224007818321,trail_stop,2 -做多,2025-01-15 03:55:00+00:00,2025-01-15 04:00:00+00:00,3232.574502971901,3243.742989089332,11.168486117430803,17.274909065766217,0,17.274909065766217,tp1,1 -做多,2025-01-15 04:20:00+00:00,2025-01-15 04:45:00+00:00,3223.72,3222.08,-1.6399999999998727,-2.5436452297343948,0,-2.5436452297343948,time_stop,5 -做空,2025-01-15 05:05:00+00:00,2025-01-15 05:10:00+00:00,3224.1220000000003,3214.1185956445875,10.00340435541284,15.513377526366618,0,15.513377526366618,tp1,1 -做多,2025-01-15 05:35:00+00:00,2025-01-15 06:00:00+00:00,3228.5427451685205,3226.71,-1.8327451685204323,-2.8383473801967094,0,-2.8383473801967094,time_stop,5 -做空,2025-01-15 06:25:00+00:00,2025-01-15 06:40:00+00:00,3219.0180000000005,3222.68,-3.6619999999993524,-5.68807008845454,0,-5.68807008845454,time_stop,3 -做多,2025-01-15 07:00:00+00:00,2025-01-15 07:05:00+00:00,3229.9201832457284,3233.298657314306,3.378474068577816,5.22996525750492,0,5.22996525750492,trail_stop,1 -做多,2025-01-15 07:25:00+00:00,2025-01-15 07:40:00+00:00,3245.7143308126642,3234.8225254702375,-10.891805342426778,-16.778749194017454,0,-16.778749194017454,stop_loss,3 -做多,2025-01-15 08:00:00+00:00,2025-01-15 08:25:00+00:00,3230.3350309308307,3239.108798359749,8.77376742891829,13.580274715948121,0,13.580274715948121,tp1,5 -做空,2025-01-15 08:45:00+00:00,2025-01-15 09:20:00+00:00,3235.248,3231.488930978698,3.7590690213019116,5.809553118187403,0,5.809553118187403,trail_stop,7 -做空,2025-01-15 09:45:00+00:00,2025-01-15 09:50:00+00:00,3211.0480000000002,3201.172375566781,9.8756244332194,15.377572109198304,0,15.377572109198304,tp1,1 -做空,2025-01-15 10:10:00+00:00,2025-01-15 10:25:00+00:00,3207.45,3214.4,-6.950000000000273,-10.834151740479623,0,-10.834151740479623,time_stop,3 -做空,2025-01-15 10:50:00+00:00,2025-01-15 11:00:00+00:00,3208.545225206933,3205.4171475644675,3.1280776424655414,4.874604256612587,0,4.874604256612587,trail_stop,2 -做空,2025-01-15 11:20:00+00:00,2025-01-15 11:35:00+00:00,3191.0128496193734,3197.61,-6.597150380626772,-10.337078995801734,0,-10.337078995801734,time_stop,3 -做多,2025-01-15 11:55:00+00:00,2025-01-15 12:10:00+00:00,3198.098,3193.02,-5.0779999999999745,-7.939093798876668,0,-7.939093798876668,time_stop,3 -做多,2025-01-15 12:35:00+00:00,2025-01-15 12:40:00+00:00,3190.606,3210.701778097395,20.09577809739494,31.49210227993513,0,31.49210227993513,tp2,1 -做多,2025-01-15 13:00:00+00:00,2025-01-15 13:20:00+00:00,3203.356,3208.1851603420528,4.829160342052546,7.537657915717994,0,7.537657915717994,trail_stop,4 -做多,2025-01-15 13:45:00+00:00,2025-01-15 13:55:00+00:00,3270.168,3291.2120115824587,21.044011582458552,32.17573467549458,0,32.17573467549458,tp1,2 -做多,2025-01-15 14:20:00+00:00,2025-01-15 14:45:00+00:00,3285.306,3292.839626792531,7.5336267925308675,11.465639414609884,0,11.465639414609884,trail_stop,5 -做多,2025-01-15 15:15:00+00:00,2025-01-15 15:55:00+00:00,3333.878,3333.17,-0.7080000000000837,-1.0618264975504257,0,-1.0618264975504257,time_stop,8 -做空,2025-01-15 16:30:00+00:00,2025-01-15 16:55:00+00:00,3354.594,3344.772526815673,9.82147318432726,14.63884032512915,0,14.63884032512915,trail_stop,5 -做多,2025-01-15 17:25:00+00:00,2025-01-15 17:50:00+00:00,3344.6620000000003,3325.6171584172466,-19.044841582753634,-28.470502524251526,0,-28.470502524251526,stop_loss,5 -做多,2025-01-15 18:15:00+00:00,2025-01-15 18:30:00+00:00,3336.9728560000003,3350.5160724129605,13.543216412960192,20.292667931968623,0,20.292667931968623,tp1,3 -做多,2025-01-15 18:50:00+00:00,2025-01-15 19:00:00+00:00,3363.715049244092,3375.8857867053357,12.170737461243789,18.091213558620026,0,18.091213558620026,tp1,2 -做多,2025-01-15 19:20:00+00:00,2025-01-15 19:25:00+00:00,3376.9032274734577,3388.7985178433455,11.895290369887789,17.612720247816586,0,17.612720247816586,tp1,1 -做多,2025-01-15 19:45:00+00:00,2025-01-15 19:50:00+00:00,3408.2219999999998,3425.144587227786,16.922587227786153,24.826122282800466,0,24.826122282800466,tp1,1 -做多,2025-01-15 20:10:00+00:00,2025-01-15 20:15:00+00:00,3453.21,3461.2764316061944,8.066431606194328,11.679613470067455,0,11.679613470067455,trail_stop,1 -做空,2025-01-15 20:35:00+00:00,2025-01-15 20:45:00+00:00,3453.61,3434.4762106718217,19.13378932817841,27.70114362678242,0,27.70114362678242,tp1,2 -做多,2025-01-15 21:15:00+00:00,2025-01-15 21:30:00+00:00,3437.5440000000003,3436.62,-0.9240000000004329,-1.3439827970208276,0,-1.3439827970208276,time_stop,3 -做空,2025-01-15 21:55:00+00:00,2025-01-15 22:20:00+00:00,3433.176,3421.0027677462926,12.173232253707283,17.728820563972373,0,17.728820563972373,tp1,5 -做多,2025-01-15 22:40:00+00:00,2025-01-15 23:05:00+00:00,3425.8529525040567,3422.6,-3.2529525040567933,-4.747653429898552,0,-4.747653429898552,time_stop,5 -做多,2025-01-15 23:25:00+00:00,2025-01-15 23:30:00+00:00,3424.061094203046,3434.8182650735025,10.75717087045632,15.708205219626876,0,15.708205219626876,tp1,1 -做多,2025-01-15 23:50:00+00:00,2025-01-15 23:55:00+00:00,3439.3059934531793,3450.9045962314076,11.598602778228269,16.861836080166395,0,16.861836080166395,tp1,1 -做空,2025-01-16 00:30:00+00:00,2025-01-16 00:35:00+00:00,3417.934,3386.4373654349342,31.49663456506596,46.07554529295469,0,46.07554529295469,tp2,1 -做多,2025-01-16 01:05:00+00:00,2025-01-16 01:15:00+00:00,3407.058,3401.61,-5.447999999999865,-7.995167678389779,0,-7.995167678389779,reverse,2 -做空,2025-01-16 01:15:00+00:00,2025-01-16 02:15:00+00:00,3406.928,3399.959518011351,6.9684819886488185,10.226928759059215,0,10.226928759059215,trail_stop,12 -做空,2025-01-16 02:35:00+00:00,2025-01-16 02:50:00+00:00,3392.162,3387.00041103448,5.161588965519968,7.608110941517487,0,7.608110941517487,trail_stop,3 -做空,2025-01-16 03:25:00+00:00,2025-01-16 03:30:00+00:00,3359.2279999999996,3347.557560975121,11.67043902487876,17.370715868167867,0,17.370715868167867,tp1,1 -做空,2025-01-16 03:50:00+00:00,2025-01-16 04:05:00+00:00,3362.594,3367.6,-5.005999999999858,-7.443658080636346,0,-7.443658080636346,time_stop,3 -做多,2025-01-16 04:30:00+00:00,2025-01-16 05:00:00+00:00,3367.2684741525113,3370.7597550284736,3.491280875962275,5.184143917780383,0,5.184143917780383,trail_stop,6 -做空,2025-01-16 05:35:00+00:00,2025-01-16 06:00:00+00:00,3370.624,3363.2343760337785,7.389623966221279,10.961804055007738,0,10.961804055007738,tp1,5 -做多,2025-01-16 06:20:00+00:00,2025-01-16 06:25:00+00:00,3369.641079182393,3376.5430581463133,6.9019789639205555,10.241415631120047,0,10.241415631120047,tp1,1 -做多,2025-01-16 06:50:00+00:00,2025-01-16 07:10:00+00:00,3376.7435581405916,3384.5980570412835,7.854498900691851,11.630286347561645,0,11.630286347561645,tp1,4 -做空,2025-01-16 07:40:00+00:00,2025-01-16 07:55:00+00:00,3381.518,3382.41,-0.8919999999998254,-1.3189342774455517,0,-1.3189342774455517,time_stop,3 -做空,2025-01-16 08:15:00+00:00,2025-01-16 08:20:00+00:00,3371.486,3354.294367908959,17.1916320910409,25.495630251825013,0,25.495630251825013,tp2,1 -做空,2025-01-16 08:40:00+00:00,2025-01-16 08:45:00+00:00,3351.2599104294013,3326.2574314924223,25.00247893697906,37.30310331820169,0,37.30310331820169,tp2,1 -做空,2025-01-16 09:15:00+00:00,2025-01-16 09:35:00+00:00,3309.028,3315.18,-6.152000000000044,-9.295781117597137,0,-9.295781117597137,time_stop,4 -做空,2025-01-16 10:00:00+00:00,2025-01-16 10:25:00+00:00,3333.58,3335.45,-1.8699999999998909,-2.80479244535888,0,-2.80479244535888,time_stop,5 -做多,2025-01-16 10:50:00+00:00,2025-01-16 11:05:00+00:00,3331.154,3330.39,-0.7640000000001237,-1.1467497449834558,0,-1.1467497449834558,time_stop,3 -做多,2025-01-16 11:25:00+00:00,2025-01-16 11:45:00+00:00,3334.1780000000003,3339.270594066637,5.092594066636593,7.636955895331012,0,7.636955895331012,trail_stop,4 -做多,2025-01-16 12:30:00+00:00,2025-01-16 12:45:00+00:00,3351.626,3348.99,-2.636000000000422,-3.932419667350149,0,-3.932419667350149,time_stop,3 -做空,2025-01-16 13:05:00+00:00,2025-01-16 13:10:00+00:00,3344.97,3330.63286694019,14.33713305980973,21.430884372370652,0,21.430884372370652,tp1,1 -做多,2025-01-16 13:40:00+00:00,2025-01-16 13:55:00+00:00,3329.614,3327.07,-2.543999999999869,-3.820262649063629,0,-3.820262649063629,time_stop,3 -做多,2025-01-16 14:25:00+00:00,2025-01-16 14:35:00+00:00,3336.8019999999997,3318.41,-18.391999999999825,-27.55932176976612,0,-27.55932176976612,reverse,2 -做空,2025-01-16 14:35:00+00:00,2025-01-16 14:40:00+00:00,3327.6920000000005,3288.6940306667216,38.99796933327889,58.59612207692131,0,58.59612207692131,tp2,1 -做多,2025-01-16 15:50:00+00:00,2025-01-16 15:55:00+00:00,3310.016,3324.326199881597,14.310199881596873,21.616511644651975,0,21.616511644651975,trail_stop,1 -做空,2025-01-16 16:35:00+00:00,2025-01-16 17:30:00+00:00,3347.366,3350.03,-2.6640000000002146,-3.9792481610917583,0,-3.9792481610917583,time_stop,11 -做多,2025-01-16 18:00:00+00:00,2025-01-16 18:10:00+00:00,3344.1220000000003,3336.69,-7.432000000000244,-11.112034788204861,0,-11.112034788204861,reverse,2 -做空,2025-01-16 18:10:00+00:00,2025-01-16 18:15:00+00:00,3342.0960000000005,3332.123017399966,9.972982600034356,14.920251542795832,0,14.920251542795832,trail_stop,1 -做空,2025-01-16 18:35:00+00:00,2025-01-16 18:50:00+00:00,3313.38,3327.15,-13.769999999999982,-20.779385401010423,0,-20.779385401010423,time_stop,3 -做空,2025-01-16 19:20:00+00:00,2025-01-16 19:35:00+00:00,3333.3239812665133,3334.43,-1.1060187334865077,-1.6590327548453154,0,-1.6590327548453154,time_stop,3 -做多,2025-01-16 19:55:00+00:00,2025-01-16 20:10:00+00:00,3340.682,3339.77,-0.9119999999998072,-1.3649907414111957,0,-1.3649907414111957,time_stop,3 -做空,2025-01-16 20:35:00+00:00,2025-01-16 21:00:00+00:00,3336.2492413406517,3323.0633581970374,13.18588314361432,19.761537867470075,0,19.761537867470075,tp1,5 -做空,2025-01-16 21:20:00+00:00,2025-01-16 21:35:00+00:00,3319.0596989152396,3320.77,-1.710301084760431,-2.5764843659175587,0,-2.5764843659175587,time_stop,3 -做空,2025-01-16 22:05:00+00:00,2025-01-16 22:15:00+00:00,3313.3054900574803,3302.3887387024347,10.916751355045562,16.474109296296994,0,16.474109296296994,tp1,2 -做空,2025-01-16 22:40:00+00:00,2025-01-16 22:55:00+00:00,3281.392,3296.7,-15.307999999999993,-23.325466753134023,0,-23.325466753134023,time_stop,3 -做多,2025-01-16 23:30:00+00:00,2025-01-16 23:40:00+00:00,3294.89,3299.8098714654875,4.919871465487631,7.465911556209208,0,7.465911556209208,trail_stop,2 -做多,2025-01-17 00:40:00+00:00,2025-01-17 01:05:00+00:00,3311.784,3321.9478719545764,10.16387195457628,15.345010354806169,0,15.345010354806169,tp1,5 -做多,2025-01-17 01:25:00+00:00,2025-01-17 01:30:00+00:00,3326.718,3348.8633394840554,22.145339484055512,33.28406478104773,0,33.28406478104773,tp2,1 -做多,2025-01-17 01:50:00+00:00,2025-01-17 01:55:00+00:00,3371.7400000000002,3386.9759669620234,15.235966962023213,22.593626676468546,0,22.593626676468546,tp1,1 -做多,2025-01-17 02:15:00+00:00,2025-01-17 02:30:00+00:00,3383.3219999999997,3383.22,-0.10199999999986176,-0.15073942119588643,0,-0.15073942119588643,time_stop,3 -做多,2025-01-17 02:50:00+00:00,2025-01-17 03:25:00+00:00,3364.596,3364.3,-0.29599999999982174,-0.4398745049923107,0,-0.4398745049923107,time_stop,7 -做空,2025-01-17 03:45:00+00:00,2025-01-17 04:05:00+00:00,3368.674,3357.0760287840067,11.597971215993311,17.21444582644879,0,17.21444582644879,tp1,4 -做多,2025-01-17 04:35:00+00:00,2025-01-17 04:45:00+00:00,3356.8782315192966,3363.3470675268118,6.468836007515165,9.63519609793445,0,9.63519609793445,trail_stop,2 -做多,2025-01-17 05:05:00+00:00,2025-01-17 05:25:00+00:00,3365.971796161343,3365.21,-0.7617961613427724,-1.1316139995759145,0,-1.1316139995759145,time_stop,4 -做多,2025-01-17 05:45:00+00:00,2025-01-17 06:05:00+00:00,3361.514,3370.1023787773865,8.588378777386424,12.774569401445932,0,12.774569401445932,tp1,4 -做空,2025-01-17 06:30:00+00:00,2025-01-17 06:45:00+00:00,3371.7239999999997,3364.51613916526,7.207860834739677,10.68868750042957,0,10.68868750042957,tp1,3 -做多,2025-01-17 07:05:00+00:00,2025-01-17 07:10:00+00:00,3364.3160000000003,3366.904158720272,2.588158720271622,3.8464857645233406,0,3.8464857645233406,trail_stop,1 -做多,2025-01-17 07:40:00+00:00,2025-01-17 07:45:00+00:00,3369.898872559557,3379.9926868518633,10.093814292306433,14.976435011890766,0,14.976435011890766,tp1,1 -做多,2025-01-17 08:05:00+00:00,2025-01-17 08:15:00+00:00,3372.891272430939,3382.6564407961105,9.765168365171576,14.47596079510375,0,14.47596079510375,tp1,2 -做多,2025-01-17 08:40:00+00:00,2025-01-17 08:50:00+00:00,3392.0705998967355,3404.24208044681,12.171480550074648,17.94107786324551,0,17.94107786324551,tp1,2 -做空,2025-01-17 09:20:00+00:00,2025-01-17 09:35:00+00:00,3402.8940000000002,3404.0,-1.1059999999997672,-1.6250873521181781,0,-1.6250873521181781,time_stop,3 -做空,2025-01-17 09:55:00+00:00,2025-01-17 10:05:00+00:00,3403.768,3412.01,-8.24200000000019,-12.107170641477605,0,-12.107170641477605,reverse,2 -做多,2025-01-17 10:05:00+00:00,2025-01-17 10:10:00+00:00,3403.117138295154,3424.4083454273505,21.291207132196632,31.281919291886034,0,31.281919291886034,tp2,1 -做多,2025-01-17 10:30:00+00:00,2025-01-17 11:05:00+00:00,3420.359584,3418.9,-1.4595839999997224,-2.1336703994917197,0,-2.1336703994917197,time_stop,7 -做多,2025-01-17 11:30:00+00:00,2025-01-17 11:50:00+00:00,3424.8551660258645,3422.02,-2.8351660258645097,-4.139103536390389,0,-4.139103536390389,time_stop,4 -做空,2025-01-17 12:30:00+00:00,2025-01-17 12:40:00+00:00,3405.9640000000004,3411.3,-5.335999999999785,-7.833318261731164,0,-7.833318261731164,reverse,2 -做多,2025-01-17 12:40:00+00:00,2025-01-17 12:45:00+00:00,3402.7,3413.4315772810146,10.73157728101478,15.769208688710112,0,15.769208688710112,tp1,1 -做空,2025-01-17 13:15:00+00:00,2025-01-17 13:25:00+00:00,3411.502,3417.35,-5.847999999999956,-8.571004794955355,0,-8.571004794955355,reverse,2 -做多,2025-01-17 13:25:00+00:00,2025-01-17 13:35:00+00:00,3414.9116408686928,3400.598693719247,-14.31294714944579,-20.956540980669168,0,-20.956540980669168,stop_loss,2 -做多,2025-01-17 14:00:00+00:00,2025-01-17 14:10:00+00:00,3401.008792,3414.5217215033017,13.51292950330162,19.866060821552882,0,19.866060821552882,tp1,2 -做空,2025-01-17 14:40:00+00:00,2025-01-17 14:50:00+00:00,3407.186,3423.44,-16.253999999999905,-23.852528156666388,0,-23.852528156666388,reverse,2 -做多,2025-01-17 14:50:00+00:00,2025-01-17 14:55:00+00:00,3410.574,3430.1131046093487,19.53910460934867,28.644891753336342,0,28.644891753336342,tp1,1 -做空,2025-01-17 15:20:00+00:00,2025-01-17 15:25:00+00:00,3440.066,3419.600553246754,20.465446753245942,29.74571818279932,0,29.74571818279932,tp1,1 -做空,2025-01-17 15:45:00+00:00,2025-01-17 16:00:00+00:00,3417.4,3421.23,-3.8299999999999272,-5.60367530871412,0,-5.60367530871412,time_stop,3 -做多,2025-01-17 16:35:00+00:00,2025-01-17 16:55:00+00:00,3437.556,3436.43,-1.1260000000002037,-1.6377915007060302,0,-1.6377915007060302,time_stop,4 -做空,2025-01-17 17:15:00+00:00,2025-01-17 17:25:00+00:00,3429.298,3437.31,-8.012000000000171,-11.681691121623393,0,-11.681691121623393,reverse,2 -做多,2025-01-17 17:25:00+00:00,2025-01-17 17:35:00+00:00,3427.67,3408.4787061348843,-19.191293865115767,-27.994663816989043,0,-27.994663816989043,stop_loss,2 -做空,2025-01-17 18:05:00+00:00,2025-01-17 18:15:00+00:00,3415.636,3421.72,-6.083999999999833,-8.906101235611512,0,-8.906101235611512,reverse,2 -做多,2025-01-17 18:15:00+00:00,2025-01-17 18:50:00+00:00,3416.5943359999997,3415.16,-1.4343359999998029,-2.099072729949938,0,-2.099072729949938,time_stop,7 -做多,2025-01-17 19:10:00+00:00,2025-01-17 19:15:00+00:00,3414.2676062999867,3426.3907091194023,12.123102819415635,17.753592010547383,0,17.753592010547383,tp1,1 -做多,2025-01-17 19:35:00+00:00,2025-01-17 20:05:00+00:00,3422.6980000000003,3431.344327568617,8.64632756861647,12.630865429284835,0,12.630865429284835,trail_stop,6 -做多,2025-01-17 20:25:00+00:00,2025-01-17 20:30:00+00:00,3469.022,3507.568727792046,38.54672779204611,55.55849428462274,0,55.55849428462274,tp2,1 -做多,2025-01-17 21:00:00+00:00,2025-01-17 21:15:00+00:00,3514.69,3504.7,-9.990000000000236,-14.211779701766352,0,-14.211779701766352,time_stop,3 -做空,2025-01-17 21:35:00+00:00,2025-01-17 21:45:00+00:00,3490.548,3479.0624800273113,11.485519972688508,16.45231633068577,0,16.45231633068577,trail_stop,2 -做空,2025-01-17 22:05:00+00:00,2025-01-17 22:30:00+00:00,3480.2,3482.64,-2.4400000000000546,-3.505545658295579,0,-3.505545658295579,time_stop,5 -做空,2025-01-17 22:55:00+00:00,2025-01-17 23:10:00+00:00,3471.5499999999997,3473.74,-2.1900000000000546,-3.154210655182922,0,-3.154210655182922,time_stop,3 -做空,2025-01-17 23:30:00+00:00,2025-01-17 23:50:00+00:00,3480.9539999999997,3476.5542787119216,4.399721288078126,6.319706161124403,0,6.319706161124403,trail_stop,4 -做多,2025-01-18 00:30:00+00:00,2025-01-18 00:40:00+00:00,3473.5000110589763,3483.2855435268857,9.785532467909434,14.085983067157223,0,14.085983067157223,tp1,2 -做空,2025-01-18 01:00:00+00:00,2025-01-18 01:05:00+00:00,3484.838,3474.4957312537326,10.342268746267564,14.838951977491584,0,14.838951977491584,tp1,1 -做多,2025-01-18 01:25:00+00:00,2025-01-18 01:35:00+00:00,3467.9579999999996,3453.878352083893,-14.079647916106751,-20.29962288486013,0,-20.29962288486013,stop_loss,2 -做多,2025-01-18 02:00:00+00:00,2025-01-18 02:30:00+00:00,3465.4118780041663,3463.6,-1.811878004166374,-2.614231825756147,0,-2.614231825756147,time_stop,6 -做空,2025-01-18 02:50:00+00:00,2025-01-18 02:55:00+00:00,3457.9719999999998,3448.601895305498,9.370104694501606,13.548554896485003,0,13.548554896485003,tp1,1 -做空,2025-01-18 03:15:00+00:00,2025-01-18 03:20:00+00:00,3442.784,3432.2298855953977,10.554114404602387,15.327877677778197,0,15.327877677778197,tp1,1 -做空,2025-01-18 03:40:00+00:00,2025-01-18 03:45:00+00:00,3401.888,3383.580015630093,18.30798436990699,26.90856425888652,0,26.90856425888652,tp1,1 -做空,2025-01-18 04:05:00+00:00,2025-01-18 04:15:00+00:00,3388.93,3369.5580045056813,19.371995494318526,28.581285972738485,0,28.581285972738485,tp1,2 -做空,2025-01-18 04:40:00+00:00,2025-01-18 04:45:00+00:00,3374.1279999999997,3364.6663048814817,9.461695118518037,14.020948699216564,0,14.020948699216564,trail_stop,1 -做空,2025-01-18 05:10:00+00:00,2025-01-18 05:15:00+00:00,3352.8280000000004,3331.4726839612617,21.355316038738692,31.84672169097056,0,31.84672169097056,tp1,1 -做空,2025-01-18 05:35:00+00:00,2025-01-18 05:50:00+00:00,3329.1279999999997,3306.348769508833,22.7792304911668,34.21200760554536,0,34.21200760554536,tp1,3 -做空,2025-01-18 06:10:00+00:00,2025-01-18 06:25:00+00:00,3315.6299999999997,3321.52,-5.890000000000327,-8.882173221982441,0,-8.882173221982441,time_stop,3 -做空,2025-01-18 06:50:00+00:00,2025-01-18 07:00:00+00:00,3322.304,3303.190891331773,19.11310866822714,28.764840105281063,0,28.764840105281063,tp1,2 -做空,2025-01-18 07:25:00+00:00,2025-01-18 07:45:00+00:00,3298.162,3289.611378593333,8.550621406666778,12.962706814684632,0,12.962706814684632,trail_stop,4 -做空,2025-01-18 08:05:00+00:00,2025-01-18 08:25:00+00:00,3267.498,3276.95,-9.45199999999977,-14.463666083345377,0,-14.463666083345377,time_stop,4 -做多,2025-01-18 08:45:00+00:00,2025-01-18 09:10:00+00:00,3282.8300000000004,3282.23,-0.6000000000003638,-0.9138456758351235,0,-0.9138456758351235,time_stop,5 -做空,2025-01-18 09:30:00+00:00,2025-01-18 09:35:00+00:00,3279.24,3261.0315633017653,18.208436698234436,27.76319619520748,0,27.76319619520748,tp1,1 -做多,2025-01-18 10:00:00+00:00,2025-01-18 10:10:00+00:00,3271.2200000000003,3249.0163499035375,-22.203650096462752,-33.93787347910374,0,-33.93787347910374,stop_loss,2 -做空,2025-01-18 10:30:00+00:00,2025-01-18 10:35:00+00:00,3254.6279999999997,3235.3019966994325,19.32600330056721,29.690034161457486,0,29.690034161457486,tp1,1 -做空,2025-01-18 10:55:00+00:00,2025-01-18 11:20:00+00:00,3265.3579999999997,3267.8,-2.442000000000462,-3.739253092617199,0,-3.739253092617199,time_stop,5 -做多,2025-01-18 11:40:00+00:00,2025-01-18 11:45:00+00:00,3292.586,3314.401937736591,21.815937736591422,33.12888066794827,0,33.12888066794827,tp1,1 -做空,2025-01-18 12:30:00+00:00,2025-01-18 12:45:00+00:00,3284.458,3290.6,-6.141999999999825,-9.350096728287932,0,-9.350096728287932,time_stop,3 -做空,2025-01-18 13:05:00+00:00,2025-01-18 13:20:00+00:00,3289.778,3296.11,-6.332000000000335,-9.623749687669404,0,-9.623749687669404,time_stop,3 -做多,2025-01-18 13:40:00+00:00,2025-01-18 14:10:00+00:00,3312.0480000000002,3308.93,-3.118000000000393,-4.707057385642347,0,-4.707057385642347,time_stop,6 -做空,2025-01-18 14:30:00+00:00,2025-01-18 14:35:00+00:00,3309.22,3294.55601622558,14.663983774419648,22.15625400308781,0,22.15625400308781,tp1,1 -做空,2025-01-18 15:00:00+00:00,2025-01-18 15:15:00+00:00,3294.648,3315.8714800852936,-21.22348008529343,-32.209025190693254,0,-32.209025190693254,stop_loss,3 -做空,2025-01-18 15:40:00+00:00,2025-01-18 15:55:00+00:00,3330.3420000000006,3310.77969541813,19.56230458187065,29.369813343300244,0,29.369813343300244,tp1,3 -做空,2025-01-18 16:45:00+00:00,2025-01-18 16:55:00+00:00,3274.786,3260.468836161979,14.31716383802086,21.85969379071008,0,21.85969379071008,trail_stop,2 -做多,2025-01-18 17:15:00+00:00,2025-01-18 17:30:00+00:00,3284.4199999999996,3278.01,-6.4099999999994,-9.758191705079437,0,-9.758191705079437,time_stop,3 -做空,2025-01-18 17:50:00+00:00,2025-01-18 17:55:00+00:00,3277.646,3257.1264004778964,20.519599522103817,31.302342477045748,0,31.302342477045748,tp1,1 -做多,2025-01-18 18:20:00+00:00,2025-01-18 18:40:00+00:00,3259.276,3281.8443421597735,22.568342159773692,34.62171071086599,0,34.62171071086599,tp1,4 -做多,2025-01-18 19:05:00+00:00,2025-01-18 19:15:00+00:00,3266.008,3273.0930846861875,7.085084686187656,10.84670442660835,0,10.84670442660835,trail_stop,2 -做多,2025-01-18 19:40:00+00:00,2025-01-18 20:05:00+00:00,3287.3019999999997,3283.56,-3.7419999999997344,-5.691597547167457,0,-5.691597547167457,time_stop,5 -做空,2025-01-18 20:25:00+00:00,2025-01-18 20:50:00+00:00,3271.5554499369205,3257.7961908103252,13.759259126595225,21.028619776046465,0,21.028619776046465,tp1,5 -做多,2025-01-18 21:10:00+00:00,2025-01-18 21:55:00+00:00,3274.7300000000005,3273.72,-1.010000000000673,-1.5421118687657807,0,-1.5421118687657807,time_stop,9 -做多,2025-01-18 22:15:00+00:00,2025-01-18 22:55:00+00:00,3282.416,3279.36,-3.05600000000004,-4.65510770115677,0,-4.65510770115677,time_stop,8 -做多,2025-01-18 23:20:00+00:00,2025-01-18 23:25:00+00:00,3290.47,3300.9247923934836,10.454792393483785,15.886472743230884,0,15.886472743230884,tp1,1 -做空,2025-01-18 23:45:00+00:00,2025-01-19 00:00:00+00:00,3313.618,3301.4531931524925,12.164806847507407,18.355777351987175,0,18.355777351987175,tp1,3 -做空,2025-01-19 00:30:00+00:00,2025-01-19 00:45:00+00:00,3313.922,3315.01,-1.0880000000001928,-1.6415594573441874,0,-1.6415594573441874,time_stop,3 -做多,2025-01-19 01:05:00+00:00,2025-01-19 01:10:00+00:00,3325.1339132118833,3353.2890387905936,28.15512557871034,42.336829603825116,0,42.336829603825116,tp2,1 -做多,2025-01-19 01:35:00+00:00,2025-01-19 01:45:00+00:00,3342.54,3358.6757924936123,16.13579249361237,24.137022284867754,0,24.137022284867754,tp1,2 -做多,2025-01-19 02:15:00+00:00,2025-01-19 02:25:00+00:00,3348.8495971344446,3362.145220156946,13.295623022501331,19.851030386491793,0,19.851030386491793,tp1,2 -做空,2025-01-19 02:45:00+00:00,2025-01-19 02:50:00+00:00,3370.442,3354.748217102934,15.69378289706583,23.281490820886148,0,23.281490820886148,tp1,1 -做空,2025-01-19 03:10:00+00:00,2025-01-19 03:20:00+00:00,3353.032,3347.084881092774,5.947118907226013,8.868270429906444,0,8.868270429906444,trail_stop,2 -做多,2025-01-19 03:45:00+00:00,2025-01-19 04:00:00+00:00,3336.27,3329.61,-6.6599999999998545,-9.981206557023045,0,-9.981206557023045,time_stop,3 -做多,2025-01-19 04:25:00+00:00,2025-01-19 04:40:00+00:00,3301.2940000000003,3299.63,-1.6640000000002146,-2.52022388796668,0,-2.52022388796668,time_stop,3 -做空,2025-01-19 05:00:00+00:00,2025-01-19 05:10:00+00:00,3278.666,3268.3313382798638,10.33466172013641,15.760467397619045,0,15.760467397619045,trail_stop,2 -做多,2025-01-19 05:40:00+00:00,2025-01-19 05:50:00+00:00,3279.9660000000003,3290.1586028432253,10.192602843224904,15.537665395349988,0,15.537665395349988,trail_stop,2 -做空,2025-01-19 06:15:00+00:00,2025-01-19 06:45:00+00:00,3296.368,3290.762245217453,5.605754782547137,8.502926224479697,0,8.502926224479697,trail_stop,6 -做空,2025-01-19 07:05:00+00:00,2025-01-19 07:10:00+00:00,3288.460393944288,3274.9525913097873,13.507802634500877,20.53818659238765,0,20.53818659238765,tp1,1 -做多,2025-01-19 07:30:00+00:00,2025-01-19 07:45:00+00:00,3273.3740000000003,3280.1438038403485,6.7698038403482315,10.340712427526203,0,10.340712427526203,trail_stop,3 -做空,2025-01-19 08:10:00+00:00,2025-01-19 08:15:00+00:00,3269.4493997042437,3243.124159886974,26.32523981726945,40.259439127045134,0,40.259439127045134,tp2,1 -做空,2025-01-19 08:35:00+00:00,2025-01-19 08:40:00+00:00,3245.516,3228.5893429111693,16.92665708883078,26.07698912720008,0,26.07698912720008,tp1,1 -做空,2025-01-19 09:00:00+00:00,2025-01-19 09:05:00+00:00,3218.442,3177.212268580039,41.2297314199609,64.05231385241818,0,64.05231385241818,tp2,1 -做空,2025-01-19 10:40:00+00:00,2025-01-19 10:50:00+00:00,3192.306,3183.885254523039,8.420745476961201,13.18912641357251,0,13.18912641357251,trail_stop,2 -做空,2025-01-19 11:10:00+00:00,2025-01-19 11:25:00+00:00,3181.9860000000003,3159.182434397834,22.803565602166145,35.832284620620804,0,35.832284620620804,tp1,3 -做空,2025-01-19 11:50:00+00:00,2025-01-19 12:05:00+00:00,3143.3219999999997,3176.0734131903055,-32.75141319030581,-52.09681539197355,0,-52.09681539197355,stop_loss,3 -做多,2025-01-19 12:35:00+00:00,2025-01-19 13:00:00+00:00,3189.948,3213.248091083529,23.30009108352897,36.521114268209026,0,36.521114268209026,tp1,5 -做多,2025-01-19 13:25:00+00:00,2025-01-19 13:40:00+00:00,3213.6440000000002,3209.85,-3.794000000000324,-5.9029562702034255,0,-5.9029562702034255,time_stop,3 -做空,2025-01-19 17:10:00+00:00,2025-01-19 17:15:00+00:00,3414.0139999999997,3389.859212319477,24.15478768052253,35.37593530741604,0,35.37593530741604,tp1,1 -做多,2025-01-19 17:55:00+00:00,2025-01-19 18:10:00+00:00,3441.956,3435.52,-6.436000000000149,-9.349335087374953,0,-9.349335087374953,time_stop,3 -做多,2025-01-19 18:35:00+00:00,2025-01-19 18:55:00+00:00,3409.114,3428.819673738334,19.7056737383341,28.901459057007333,0,28.901459057007333,tp1,4 -做多,2025-01-19 19:15:00+00:00,2025-01-19 19:35:00+00:00,3424.7580000000003,3418.14,-6.618000000000393,-9.661996555669615,0,-9.661996555669615,time_stop,4 -做多,2025-01-19 20:00:00+00:00,2025-01-19 20:15:00+00:00,3420.91,3415.02,-5.889999999999873,-8.608820460052842,0,-8.608820460052842,time_stop,3 -做空,2025-01-19 20:35:00+00:00,2025-01-19 20:45:00+00:00,3415.588,3398.385267773904,17.202732226096032,25.182680443449314,0,25.182680443449314,tp1,2 -做空,2025-01-19 21:15:00+00:00,2025-01-19 21:20:00+00:00,3372.038,3362.538682983603,9.499317016397072,14.085424031990554,0,14.085424031990554,trail_stop,1 -做空,2025-01-20 04:00:00+00:00,2025-01-20 04:40:00+00:00,3269.42,3276.55,-7.130000000000109,-10.904074728851155,0,-10.904074728851155,time_stop,8 -做多,2025-01-20 05:00:00+00:00,2025-01-20 05:05:00+00:00,3275.356,3297.9615953949883,22.605595394988086,34.50860821692067,0,34.50860821692067,tp1,1 -做空,2025-01-20 05:25:00+00:00,2025-01-20 05:30:00+00:00,3293.118,3278.166340992541,14.951659007459057,22.70137147751623,0,22.70137147751623,trail_stop,1 -做多,2025-01-20 05:50:00+00:00,2025-01-20 06:05:00+00:00,3291.688,3290.52,-1.16800000000012,-1.7741657167995872,0,-1.7741657167995872,time_stop,3 -做多,2025-01-20 06:30:00+00:00,2025-01-20 06:35:00+00:00,3303.892,3315.5249985482606,11.63299854826073,17.60499215510182,0,17.60499215510182,trail_stop,1 -做空,2025-01-20 08:45:00+00:00,2025-01-20 09:05:00+00:00,3394.11,3406.96,-12.849999999999909,-18.92985200833195,0,-18.92985200833195,time_stop,4 -做空,2025-01-20 09:25:00+00:00,2025-01-20 09:35:00+00:00,3380.8700000000003,3358.820411436407,22.04958856359326,32.609341032919424,0,32.609341032919424,tp1,2 -做空,2025-01-20 09:55:00+00:00,2025-01-20 10:05:00+00:00,3365.14,3373.24,-8.099999999999909,-12.03516049852296,0,-12.03516049852296,reverse,2 -做多,2025-01-20 10:05:00+00:00,2025-01-20 10:15:00+00:00,3366.802,3375.446254385164,8.644254385164004,12.837485520627592,0,12.837485520627592,trail_stop,2 -做空,2025-01-20 10:35:00+00:00,2025-01-20 10:55:00+00:00,3368.52,3348.568598754751,19.951401245249144,29.61449129773483,0,29.61449129773483,tp1,4 -做多,2025-01-20 11:15:00+00:00,2025-01-20 11:20:00+00:00,3345.774,3386.0351049049586,40.261104904958756,60.16710170047163,0,60.16710170047163,tp2,1 -做多,2025-01-20 11:40:00+00:00,2025-01-20 12:00:00+00:00,3371.18,3367.78,-3.399999999999636,-5.042744676937506,0,-5.042744676937506,time_stop,4 -做多,2025-01-20 14:15:00+00:00,2025-01-20 14:35:00+00:00,3343.8799999999997,3339.36,-4.519999999999527,-6.758615739798569,0,-6.758615739798569,time_stop,4 -做多,2025-01-20 14:55:00+00:00,2025-01-20 15:25:00+00:00,3353.268,3377.1639598202046,23.895959820204553,35.630852977162206,0,35.630852977162206,tp1,6 -做空,2025-01-20 20:25:00+00:00,2025-01-20 20:40:00+00:00,3326.02,3335.45,-9.429999999999836,-14.176102368596455,0,-14.176102368596455,time_stop,3 -做空,2025-01-20 21:05:00+00:00,2025-01-20 21:20:00+00:00,3325.878,3331.72,-5.8419999999996435,-8.78264325991459,0,-8.78264325991459,time_stop,3 -做空,2025-01-20 21:40:00+00:00,2025-01-20 21:50:00+00:00,3318.386,3307.9527601690756,10.433239830924322,15.720352953098768,0,15.720352953098768,trail_stop,2 -做空,2025-01-20 22:20:00+00:00,2025-01-20 22:30:00+00:00,3292.6580000000004,3315.81,-23.15199999999959,-35.1570068923034,0,-35.1570068923034,reverse,2 -做多,2025-01-20 22:30:00+00:00,2025-01-20 23:10:00+00:00,3310.8759999999997,3292.6,-18.27599999999984,-27.59994635860697,0,-27.59994635860697,time_stop,8 -做空,2025-01-20 23:30:00+00:00,2025-01-20 23:45:00+00:00,3302.554,3261.5677200166083,40.986279983391796,62.052399420860034,0,62.052399420860034,tp2,3 -做多,2025-01-21 00:45:00+00:00,2025-01-21 00:50:00+00:00,3264.2180000000003,3229.3006952595365,-34.917304740463806,-53.484946073552386,0,-53.484946073552386,stop_loss,1 -做多,2025-01-21 02:10:00+00:00,2025-01-21 02:30:00+00:00,3254.166,3251.55,-2.6159999999999854,-4.019463051362447,0,-4.019463051362447,time_stop,4 -做多,2025-01-21 02:50:00+00:00,2025-01-21 04:00:00+00:00,3253.068,3250.37,-2.69800000000032,-4.146854600027297,0,-4.146854600027297,time_stop,14 -做多,2025-01-21 04:20:00+00:00,2025-01-21 04:30:00+00:00,3252.56,3228.8449307971505,-23.715069202849463,-36.45600573525079,0,-36.45600573525079,stop_loss,2 -做多,2025-01-21 04:55:00+00:00,2025-01-21 05:25:00+00:00,3239.96,3239.36,-0.599999999999909,-0.9259373572511838,0,-0.9259373572511838,time_stop,6 -做空,2025-01-21 05:55:00+00:00,2025-01-21 06:05:00+00:00,3227.4,3244.81,-17.409999999999854,-26.97217574518165,0,-26.97217574518165,reverse,2 -做多,2025-01-21 06:05:00+00:00,2025-01-21 06:35:00+00:00,3235.3320000000003,3224.48,-10.852000000000317,-16.771076353215552,0,-16.771076353215552,time_stop,6 -做多,2025-01-21 07:20:00+00:00,2025-01-21 07:50:00+00:00,3250.034,3249.68,-0.3540000000002692,-0.54460968716061,0,-0.54460968716061,time_stop,6 -做多,2025-01-21 08:15:00+00:00,2025-01-21 08:30:00+00:00,3261.966,3253.74,-8.226000000000113,-12.608960363167663,0,-12.608960363167663,time_stop,3 -做多,2025-01-21 08:55:00+00:00,2025-01-21 09:00:00+00:00,3246.724,3254.051366499423,7.327366499422624,11.284246057599328,0,11.284246057599328,trail_stop,1 -做空,2025-01-21 09:25:00+00:00,2025-01-21 09:45:00+00:00,3263.148,3267.86,-4.711999999999989,-7.220021892969594,0,-7.220021892969594,time_stop,4 -做空,2025-01-21 10:10:00+00:00,2025-01-21 10:25:00+00:00,3283.548,3293.07,-9.52200000000039,-14.499559622701405,0,-14.499559622701405,time_stop,3 -做多,2025-01-21 10:45:00+00:00,2025-01-21 10:50:00+00:00,3292.024,3306.2286470423182,14.204647042318356,21.574337007139615,0,21.574337007139615,tp1,1 -做多,2025-01-21 11:10:00+00:00,2025-01-21 11:30:00+00:00,3302.925806450812,3298.68,-4.245806450812324,-6.427341544457357,0,-6.427341544457357,time_stop,4 -做多,2025-01-21 11:50:00+00:00,2025-01-21 12:05:00+00:00,3299.6328728615804,3294.17,-5.462872861580308,-8.278001026281865,0,-8.278001026281865,time_stop,3 -做空,2025-01-21 12:30:00+00:00,2025-01-21 12:35:00+00:00,3314.444,3298.7632529500897,15.680747049910224,23.655169690467275,0,23.655169690467275,tp1,1 -做空,2025-01-21 13:00:00+00:00,2025-01-21 13:05:00+00:00,3305.538,3291.6299127897696,13.908087210230406,21.03755456786521,0,21.03755456786521,tp1,1 -做空,2025-01-21 13:25:00+00:00,2025-01-21 13:40:00+00:00,3301.7100000000005,3303.2,-1.489999999999327,-2.256406528737119,0,-2.256406528737119,time_stop,3 -做空,2025-01-21 14:05:00+00:00,2025-01-21 14:15:00+00:00,3306.302,3314.6,-8.297999999999774,-12.54876293817046,0,-12.54876293817046,reverse,2 -做多,2025-01-21 14:15:00+00:00,2025-01-21 14:20:00+00:00,3313.6336703224274,3327.2251418105984,13.59147148817101,20.508409861203088,0,20.508409861203088,tp1,1 -做多,2025-01-21 14:40:00+00:00,2025-01-21 14:55:00+00:00,3293.8340000000003,3288.51,-5.324000000000069,-8.08176732646525,0,-8.08176732646525,time_stop,3 -做多,2025-01-21 15:15:00+00:00,2025-01-21 16:05:00+00:00,3276.6820000000002,3302.3414931282264,25.65949312822613,39.15468929884885,0,39.15468929884885,tp1,10 -做空,2025-01-21 16:35:00+00:00,2025-01-21 16:45:00+00:00,3308.498,3317.6,-9.101999999999862,-13.755486628675403,0,-13.755486628675403,reverse,2 -做多,2025-01-21 16:45:00+00:00,2025-01-21 17:30:00+00:00,3309.724,3307.48,-2.244000000000142,-3.3900107682697134,0,-3.3900107682697134,time_stop,9 -做多,2025-01-21 17:50:00+00:00,2025-01-21 18:10:00+00:00,3339.6,3337.27,-2.3299999999999272,-3.48844172954834,0,-3.48844172954834,time_stop,4 -做多,2025-01-21 18:30:00+00:00,2025-01-21 18:35:00+00:00,3334.352,3353.384550828249,19.032550828248986,28.540104386472976,0,28.540104386472976,tp1,1 -做空,2025-01-21 19:00:00+00:00,2025-01-21 19:10:00+00:00,3344.0499999999997,3326.644632725756,17.405367274243872,26.024382521558998,0,26.024382521558998,tp1,2 -做空,2025-01-21 19:30:00+00:00,2025-01-21 19:45:00+00:00,3326.552,3331.47,-4.917999999999665,-7.392038362844869,0,-7.392038362844869,time_stop,3 -做空,2025-01-21 20:05:00+00:00,2025-01-21 20:25:00+00:00,3333.276,3327.6762567643323,5.5997432356675745,8.399759329361826,0,8.399759329361826,trail_stop,4 -做多,2025-01-21 20:50:00+00:00,2025-01-21 21:05:00+00:00,3310.938,3308.01,-2.9279999999998836,-4.421707685253972,0,-4.421707685253972,time_stop,3 -做多,2025-01-21 21:25:00+00:00,2025-01-21 21:30:00+00:00,3307.8364001999244,3320.6338314871145,12.797431287190193,19.34411158668053,0,19.34411158668053,tp1,1 -做多,2025-01-21 22:00:00+00:00,2025-01-21 22:15:00+00:00,3331.8676026934513,3329.91,-1.957602693451463,-2.9376958014012247,0,-2.9376958014012247,time_stop,3 -做多,2025-01-21 22:35:00+00:00,2025-01-21 22:45:00+00:00,3334.8397824251533,3345.6216233443915,10.78184091923822,16.165455648063368,0,16.165455648063368,tp1,2 -做多,2025-01-21 23:05:00+00:00,2025-01-21 23:20:00+00:00,3320.752,3313.39,-7.36200000000008,-11.084838614868078,0,-11.084838614868078,time_stop,3 -做空,2025-01-21 23:40:00+00:00,2025-01-21 23:55:00+00:00,3320.856,3326.74,-5.88399999999956,-8.859161613751935,0,-8.859161613751935,time_stop,3 -做多,2025-01-22 00:30:00+00:00,2025-01-22 00:50:00+00:00,3329.418992,3343.0407618383656,13.621769838365708,20.45667708254262,0,20.45667708254262,tp1,4 -做空,2025-01-22 01:10:00+00:00,2025-01-22 01:25:00+00:00,3336.9880000000003,3338.01,-1.0219999999999345,-1.531321059590167,0,-1.531321059590167,time_stop,3 -做多,2025-01-22 01:45:00+00:00,2025-01-22 02:00:00+00:00,3327.496,3323.0,-4.496000000000095,-6.755830810916218,0,-6.755830810916218,time_stop,3 -做多,2025-01-22 02:35:00+00:00,2025-01-22 03:10:00+00:00,3336.8594788614214,3336.01,-0.8494788614211757,-1.2728717927777837,0,-1.2728717927777837,time_stop,7 -做多,2025-01-22 03:35:00+00:00,2025-01-22 03:45:00+00:00,3340.840138891942,3332.96,-7.880138891941897,-11.793648549965496,0,-11.793648549965496,reverse,2 -做空,2025-01-22 03:45:00+00:00,2025-01-22 03:50:00+00:00,3338.486,3328.390858173879,10.095141826120653,15.119341261459017,0,15.119341261459017,tp1,1 -做空,2025-01-22 04:20:00+00:00,2025-01-22 04:35:00+00:00,3327.738,3319.15899956854,8.579000431459917,12.890138032891889,0,12.890138032891889,tp1,3 -做多,2025-01-22 04:55:00+00:00,2025-01-22 05:05:00+00:00,3327.3348149728113,3336.197400408466,8.862585435654637,13.317844353645329,0,13.317844353645329,tp1,2 -做空,2025-01-22 05:25:00+00:00,2025-01-22 05:30:00+00:00,3330.156,3321.7024086825363,8.453591317463633,12.692485453329565,0,12.692485453329565,tp1,1 -做空,2025-01-22 05:50:00+00:00,2025-01-22 06:00:00+00:00,3320.748,3313.398730619155,7.349269380845271,11.065683666519218,0,11.065683666519218,tp1,2 -做空,2025-01-22 06:20:00+00:00,2025-01-22 06:25:00+00:00,3312.176,3304.4328253328354,7.743174667164567,11.688954130403348,0,11.688954130403348,tp1,1 -做空,2025-01-22 06:45:00+00:00,2025-01-22 07:15:00+00:00,3308.362,3308.64,-0.27799999999979264,-0.42014749292821135,0,-0.42014749292821135,time_stop,6 -做空,2025-01-22 07:35:00+00:00,2025-01-22 07:40:00+00:00,3299.83744,3290.495421877147,9.342018122853005,14.15527021060317,0,14.15527021060317,tp1,1 -做空,2025-01-22 08:00:00+00:00,2025-01-22 08:15:00+00:00,3286.3511192421256,3291.1,-4.7488807578743035,-7.225157302986931,0,-7.225157302986931,time_stop,3 -做空,2025-01-22 08:35:00+00:00,2025-01-22 08:45:00+00:00,3282.07368,3294.99,-12.916319999999814,-19.677071966281716,0,-19.677071966281716,reverse,2 -做多,2025-01-22 08:45:00+00:00,2025-01-22 08:50:00+00:00,3287.766,3299.267461972194,11.501461972193738,17.49130256258161,0,17.49130256258161,tp1,1 -做空,2025-01-22 09:10:00+00:00,2025-01-22 09:25:00+00:00,3293.8540000000003,3295.82,-1.9659999999998945,-2.9843459971205375,0,-2.9843459971205375,time_stop,3 -做空,2025-01-22 09:45:00+00:00,2025-01-22 10:00:00+00:00,3300.3720000000003,3291.3054232238756,9.066576776124748,13.735689152805724,0,13.735689152805724,tp1,3 -做多,2025-01-22 10:25:00+00:00,2025-01-22 10:45:00+00:00,3298.402,3303.0153215511577,4.613321551157696,6.993267574961597,0,6.993267574961597,trail_stop,4 -做多,2025-01-22 11:05:00+00:00,2025-01-22 11:10:00+00:00,3304.932,3308.79742696732,3.865426967320218,5.847967473037597,0,5.847967473037597,trail_stop,1 -做多,2025-01-22 11:30:00+00:00,2025-01-22 11:40:00+00:00,3308.092,3315.4956796643714,7.403679664371339,11.190256595601541,0,11.190256595601541,tp1,2 -做空,2025-01-22 12:30:00+00:00,2025-01-22 12:55:00+00:00,3315.2621693647993,3315.9,-0.6378306352007712,-0.9619610797220585,0,-0.9619610797220585,time_stop,5 -做空,2025-01-22 13:20:00+00:00,2025-01-22 13:30:00+00:00,3307.953686652207,3299.1953042866103,8.758382365596844,13.238369087417164,0,13.238369087417164,tp1,2 -做空,2025-01-22 13:50:00+00:00,2025-01-22 14:15:00+00:00,3286.388855232688,3287.68,-1.2911447673118346,-1.9643822204058943,0,-1.9643822204058943,time_stop,5 -做空,2025-01-22 14:40:00+00:00,2025-01-22 14:45:00+00:00,3292.107799036692,3275.8377951551065,16.27000388158558,24.710618355733015,0,24.710618355733015,tp1,1 -做空,2025-01-22 15:10:00+00:00,2025-01-22 15:20:00+00:00,3297.81,3280.8182150663824,16.99178493361751,25.762225436907386,0,25.762225436907386,tp1,2 -做多,2025-01-22 15:50:00+00:00,2025-01-22 16:05:00+00:00,3280.4719999999998,3267.94,-12.531999999999698,-19.100909869067163,0,-19.100909869067163,time_stop,3 -做空,2025-01-22 16:30:00+00:00,2025-01-22 16:55:00+00:00,3276.4280000000003,3277.1,-0.6719999999995707,-1.0255070460873406,0,-1.0255070460873406,time_stop,5 -做多,2025-01-22 17:15:00+00:00,2025-01-22 17:40:00+00:00,3279.258,3278.46,-0.7979999999997744,-1.2167386646609912,0,-1.2167386646609912,time_stop,5 -做空,2025-01-22 18:05:00+00:00,2025-01-22 18:15:00+00:00,3282.786944,3271.9690235822236,10.81792041777635,16.476732426312996,0,16.476732426312996,tp1,2 -做多,2025-01-22 18:35:00+00:00,2025-01-22 18:50:00+00:00,3275.242,3266.91,-8.332000000000335,-12.719670790739027,0,-12.719670790739027,time_stop,3 -做多,2025-01-22 19:30:00+00:00,2025-01-22 19:45:00+00:00,3271.14,3269.01,-2.1299999999996544,-3.2557457033322548,0,-3.2557457033322548,time_stop,3 -做多,2025-01-22 20:05:00+00:00,2025-01-22 20:25:00+00:00,3263.078,3267.0485382747656,3.9705382747656586,6.084038252787182,0,6.084038252787182,trail_stop,4 -做空,2025-01-22 20:45:00+00:00,2025-01-22 21:00:00+00:00,3262.4926113166443,3250.5458343402947,11.94677697634961,18.309278210944743,0,18.309278210944743,tp1,3 -做多,2025-01-22 21:25:00+00:00,2025-01-22 21:30:00+00:00,3248.9419999999996,3253.7834473936296,4.8414473936300055,7.450806129549259,0,7.450806129549259,trail_stop,1 -做空,2025-01-22 21:55:00+00:00,2025-01-22 22:15:00+00:00,3260.244,3249.103692658729,11.140307341271182,17.085082192116882,0,17.085082192116882,tp1,4 -做多,2025-01-22 22:35:00+00:00,2025-01-22 22:50:00+00:00,3258.3259999999996,3252.86,-5.46599999999944,-8.38774266294938,0,-8.38774266294938,time_stop,3 -做多,2025-01-22 23:30:00+00:00,2025-01-22 23:50:00+00:00,3240.598,3238.1,-2.4980000000000473,-3.8542269050342672,0,-3.8542269050342672,time_stop,4 -做多,2025-01-23 00:30:00+00:00,2025-01-23 00:45:00+00:00,3255.162,3247.51,-7.651999999999589,-11.753639296599662,0,-11.753639296599662,time_stop,3 -做空,2025-01-23 01:10:00+00:00,2025-01-23 01:25:00+00:00,3250.117444155857,3253.72,-3.6025558441428984,-5.542193329999155,0,-5.542193329999155,time_stop,3 -做空,2025-01-23 01:45:00+00:00,2025-01-23 01:50:00+00:00,3240.4407643974355,3228.7491545427997,11.691609854635772,18.040153646829342,0,18.040153646829342,tp1,1 -做空,2025-01-23 02:10:00+00:00,2025-01-23 02:15:00+00:00,3218.89084536802,3211.698526969946,7.192318398073894,11.17204456998539,0,11.17204456998539,trail_stop,1 -做空,2025-01-23 02:35:00+00:00,2025-01-23 02:50:00+00:00,3216.058794854763,3218.53,-2.471205145237036,-3.841977561465314,0,-3.841977561465314,time_stop,3 -做多,2025-01-23 03:25:00+00:00,2025-01-23 03:40:00+00:00,3238.178,3238.06,-0.11799999999993815,-0.18220122550387619,0,-0.18220122550387619,time_stop,3 -做空,2025-01-23 04:10:00+00:00,2025-01-23 04:15:00+00:00,3228.157799854094,3217.309551167974,10.84824868611986,16.802537792003506,0,16.802537792003506,tp1,1 -做空,2025-01-23 04:35:00+00:00,2025-01-23 04:40:00+00:00,3212.0380800746607,3196.8192280522812,15.218852022379451,23.69033561088059,0,23.69033561088059,tp1,1 -做多,2025-01-23 05:05:00+00:00,2025-01-23 05:40:00+00:00,3201.5819999999994,3215.6624727864682,14.080472786468818,21.989867488118094,0,21.989867488118094,tp1,7 -做空,2025-01-23 06:00:00+00:00,2025-01-23 06:10:00+00:00,3213.94,3219.51,-5.570000000000164,-8.665376453823287,0,-8.665376453823287,reverse,2 -做多,2025-01-23 06:10:00+00:00,2025-01-23 06:25:00+00:00,3216.7000000000003,3219.995727273079,3.2957272730786826,5.122839047904191,0,5.122839047904191,trail_stop,3 -做空,2025-01-23 06:45:00+00:00,2025-01-23 06:50:00+00:00,3211.9411660023115,3207.0863823310633,4.854783671248242,7.557398190594299,0,7.557398190594299,trail_stop,1 -做多,2025-01-23 07:20:00+00:00,2025-01-23 07:35:00+00:00,3213.8179999999998,3223.6656494602043,9.847649460204593,15.320795172913641,0,15.320795172913641,tp1,3 -做多,2025-01-23 07:55:00+00:00,2025-01-23 08:05:00+00:00,3230.9820000000004,3227.56,-3.42200000000048,-5.295603627628504,0,-5.295603627628504,reverse,2 -做空,2025-01-23 08:05:00+00:00,2025-01-23 08:20:00+00:00,3230.2960000000003,3220.6253156493394,9.67068435066085,14.968727866828377,0,14.968727866828377,tp1,3 -做空,2025-01-23 08:40:00+00:00,2025-01-23 08:45:00+00:00,3221.9099883291055,3212.1330042699274,9.776984059178176,15.172652393446528,0,15.172652393446528,tp1,1 -做空,2025-01-23 09:05:00+00:00,2025-01-23 09:20:00+00:00,3214.402202924801,3216.15,-1.747797075199287,-2.7186969222596935,0,-2.7186969222596935,time_stop,3 -做空,2025-01-23 09:40:00+00:00,2025-01-23 09:50:00+00:00,3206.7562827914276,3196.2906722423836,10.465610549043959,16.31806352919003,0,16.31806352919003,tp1,2 -做多,2025-01-23 10:20:00+00:00,2025-01-23 10:35:00+00:00,3203.5580000000004,3199.73,-3.8280000000004293,-5.9746069838604905,0,-5.9746069838604905,time_stop,3 -做多,2025-01-23 11:00:00+00:00,2025-01-23 11:15:00+00:00,3204.704,3201.71,-2.994000000000142,-4.6712582503721745,0,-4.6712582503721745,time_stop,3 -做空,2025-01-23 11:45:00+00:00,2025-01-23 12:05:00+00:00,3211.3959999999997,3211.99,-0.5940000000000509,-0.9248314440200632,0,-0.9248314440200632,time_stop,4 -做多,2025-01-23 12:30:00+00:00,2025-01-23 12:55:00+00:00,3205.4,3202.62,-2.7800000000002,-4.33643227054377,0,-4.33643227054377,time_stop,5 -做空,2025-01-23 13:15:00+00:00,2025-01-23 13:30:00+00:00,3208.233399838264,3224.4168082019523,-16.18340836368816,-25.221681758727417,0,-25.221681758727417,stop_loss,3 -做空,2025-01-23 13:50:00+00:00,2025-01-23 14:20:00+00:00,3232.306,3235.58,-3.2739999999998872,-5.064495750092793,0,-5.064495750092793,time_stop,6 -做多,2025-01-23 14:45:00+00:00,2025-01-23 15:05:00+00:00,3267.956,3243.446500270399,-24.509499729600975,-37.49973948486603,0,-37.49973948486603,stop_loss,4 -做空,2025-01-23 15:25:00+00:00,2025-01-23 15:35:00+00:00,3235.0280000000002,3249.34,-14.311999999999898,-22.120364955109967,0,-22.120364955109967,reverse,2 -做多,2025-01-23 15:35:00+00:00,2025-01-23 16:00:00+00:00,3247.058,3260.880769321893,13.822769321892793,21.285066854199698,0,21.285066854199698,trail_stop,5 -做多,2025-01-23 16:30:00+00:00,2025-01-23 16:45:00+00:00,3275.452,3271.55,-3.9020000000000437,-5.956429830142594,0,-5.956429830142594,time_stop,3 -做空,2025-01-23 17:05:00+00:00,2025-01-23 17:20:00+00:00,3231.5200000000004,3241.27,-9.749999999999545,-15.08578006634578,0,-15.08578006634578,time_stop,3 -做多,2025-01-23 17:45:00+00:00,2025-01-23 18:05:00+00:00,3254.7422160239767,3254.11,-0.6322160239765253,-0.9712228834344464,0,-0.9712228834344464,time_stop,4 -做空,2025-01-23 18:40:00+00:00,2025-01-23 18:45:00+00:00,3251.744,3245.1105777739936,6.633422226006587,10.199791597995702,0,10.199791597995702,trail_stop,1 -做空,2025-01-23 19:05:00+00:00,2025-01-23 19:15:00+00:00,3232.256,3218.0005433482606,14.255456651739223,22.0518681870174,0,22.0518681870174,tp1,2 -做多,2025-01-23 19:35:00+00:00,2025-01-23 19:45:00+00:00,3218.621284163438,3205.01,-13.611284163437631,-21.14458794889779,0,-21.14458794889779,reverse,2 -做空,2025-01-23 19:45:00+00:00,2025-01-23 19:50:00+00:00,3221.768,3204.8487411273013,16.91925887269872,26.257723822290615,0,26.257723822290615,tp1,1 -做多,2025-01-23 20:10:00+00:00,2025-01-23 20:15:00+00:00,3212.692,3233.63997736281,20.94797736280998,32.601907314504444,0,32.601907314504444,tp1,1 -做空,2025-01-23 21:45:00+00:00,2025-01-23 22:00:00+00:00,3245.824,3259.56,-13.735999999999876,-21.159496017035853,0,-21.159496017035853,time_stop,3 -做多,2025-01-23 22:20:00+00:00,2025-01-23 22:30:00+00:00,3274.566,3300.069106353027,25.503106353027306,38.941200685873035,0,38.941200685873035,tp1,2 -做多,2025-01-23 22:50:00+00:00,2025-01-23 22:55:00+00:00,3305.838,3314.2674261454013,8.429426145401067,12.74930311981571,0,12.74930311981571,trail_stop,1 -做多,2025-01-23 23:15:00+00:00,2025-01-23 23:20:00+00:00,3318.3,3340.7185310124296,22.418531012429412,33.780144972469955,0,33.780144972469955,tp1,1 -做空,2025-01-23 23:45:00+00:00,2025-01-24 00:15:00+00:00,3336.546,3325.183305768586,11.362694231414025,17.027630117214066,0,17.027630117214066,trail_stop,6 -做空,2025-01-24 00:35:00+00:00,2025-01-24 00:40:00+00:00,3308.21,3301.4533943731603,6.756605626839701,10.211875344732801,0,10.211875344732801,trail_stop,1 -做多,2025-01-24 01:00:00+00:00,2025-01-24 01:05:00+00:00,3286.676,3303.3733981182063,16.697398118206365,25.40164914066121,0,25.40164914066121,tp1,1 -做多,2025-01-24 01:25:00+00:00,2025-01-24 01:35:00+00:00,3308.319232597422,3324.9245086405685,16.60527604314666,25.096242042684548,0,25.096242042684548,tp1,2 -做多,2025-01-24 01:55:00+00:00,2025-01-24 02:10:00+00:00,3293.5139999999997,3299.909171785061,6.395171785061393,9.708736299680817,0,9.708736299680817,trail_stop,3 -做多,2025-01-24 02:30:00+00:00,2025-01-24 02:45:00+00:00,3305.449453167114,3284.496456917458,-20.952996249655826,-31.694625113053426,0,-31.694625113053426,stop_loss,3 -做空,2025-01-24 03:10:00+00:00,2025-01-24 03:20:00+00:00,3293.4739999999997,3276.9635865635996,16.510413436400086,25.065346555643202,0,25.065346555643202,tp1,2 -做多,2025-01-24 03:40:00+00:00,2025-01-24 03:55:00+00:00,3309.998,3301.41,-8.588000000000193,-12.972817506234433,0,-12.972817506234433,time_stop,3 -做多,2025-01-24 04:15:00+00:00,2025-01-24 04:35:00+00:00,3306.0060820944227,3311.691733448563,5.685651354140191,8.598972919218307,0,8.598972919218307,trail_stop,4 -做多,2025-01-24 04:55:00+00:00,2025-01-24 05:05:00+00:00,3323.9853875931058,3340.095230902163,16.109843309057396,24.232722816995466,0,24.232722816995466,tp1,2 -做多,2025-01-24 05:30:00+00:00,2025-01-24 05:40:00+00:00,3366.356,3372.38766694682,6.031666946819769,8.958747896567933,0,8.958747896567933,trail_stop,2 -做多,2025-01-24 06:20:00+00:00,2025-01-24 06:35:00+00:00,3393.038,3381.82,-11.217999999999847,-16.530908289267387,0,-16.530908289267387,time_stop,3 -做空,2025-01-24 06:55:00+00:00,2025-01-24 07:15:00+00:00,3390.234,3396.55,-6.316000000000258,-9.314991236593489,0,-9.314991236593489,time_stop,4 -做空,2025-01-24 07:40:00+00:00,2025-01-24 07:50:00+00:00,3378.834,3385.68,-6.846000000000004,-10.13071373142333,0,-10.13071373142333,reverse,2 -做多,2025-01-24 07:50:00+00:00,2025-01-24 08:15:00+00:00,3382.0803401930057,3396.3093459973593,14.22900580435362,21.035877881513617,0,21.035877881513617,tp1,5 -做多,2025-01-24 08:35:00+00:00,2025-01-24 08:45:00+00:00,3409.6161835052776,3396.84,-12.776183505277459,-18.735515696876504,0,-18.735515696876504,reverse,2 -做空,2025-01-24 08:45:00+00:00,2025-01-24 09:00:00+00:00,3398.056,3402.99,-4.933999999999742,-7.260033383793178,0,-7.260033383793178,time_stop,3 -做多,2025-01-24 09:20:00+00:00,2025-01-24 09:30:00+00:00,3404.839688,3395.1,-9.739688000000115,-14.302711570131512,0,-14.302711570131512,reverse,2 -做空,2025-01-24 09:30:00+00:00,2025-01-24 09:55:00+00:00,3397.622,3400.87,-3.2480000000000473,-4.77981364613257,0,-4.77981364613257,time_stop,5 -做空,2025-01-24 10:15:00+00:00,2025-01-24 10:30:00+00:00,3392.9159999999997,3400.51,-7.594000000000506,-11.190963760966241,0,-11.190963760966241,time_stop,3 -做多,2025-01-24 10:50:00+00:00,2025-01-24 10:55:00+00:00,3401.352954503098,3412.3155865546864,10.962632051588571,16.11510507469534,0,16.11510507469534,tp1,1 -做多,2025-01-24 11:15:00+00:00,2025-01-24 11:30:00+00:00,3406.593802121331,3400.99,-5.603802121331228,-8.224934416662277,0,-8.224934416662277,time_stop,3 -做多,2025-01-24 11:50:00+00:00,2025-01-24 12:05:00+00:00,3396.954,3391.28,-5.673999999999978,-8.351599697846922,0,-8.351599697846922,time_stop,3 -做多,2025-01-24 12:30:00+00:00,2025-01-24 12:50:00+00:00,3388.1580000000004,3397.2540074738354,9.096007473835016,13.423233913287124,0,13.423233913287124,tp1,4 -做空,2025-01-24 13:20:00+00:00,2025-01-24 13:45:00+00:00,3396.994,3397.2,-0.20599999999967622,-0.3032092491180088,0,-0.3032092491180088,time_stop,5 -做空,2025-01-24 14:05:00+00:00,2025-01-24 14:25:00+00:00,3395.61,3400.02,-4.4099999999998545,-6.4936786026661695,0,-6.4936786026661695,time_stop,4 -做空,2025-01-24 14:50:00+00:00,2025-01-24 15:15:00+00:00,3402.272,3384.53208050835,17.739919491649744,26.070695540582502,0,26.070695540582502,tp1,5 -做空,2025-01-24 15:35:00+00:00,2025-01-24 15:40:00+00:00,3386.474,3368.895128281036,17.578871718964365,25.954535187579122,0,25.954535187579122,tp1,1 -做多,2025-01-24 16:35:00+00:00,2025-01-24 16:55:00+00:00,3387.015728,3379.29,-7.72572799999989,-11.404918991270609,0,-11.404918991270609,time_stop,4 -做多,2025-01-24 17:15:00+00:00,2025-01-24 17:45:00+00:00,3384.485549413836,3399.19065671135,14.705107297514132,21.72428731459783,0,21.72428731459783,tp1,6 -做空,2025-01-24 18:10:00+00:00,2025-01-24 18:40:00+00:00,3398.894,3384.576288507109,14.317711492890794,21.06230952317253,0,21.06230952317253,tp1,6 -做空,2025-01-24 19:00:00+00:00,2025-01-24 19:15:00+00:00,3379.7499999999995,3381.99,-2.2400000000002365,-3.313854575042883,0,-3.313854575042883,time_stop,3 -做空,2025-01-24 19:40:00+00:00,2025-01-24 19:45:00+00:00,3388.848,3375.3027737971966,13.545226202803406,19.985001101854383,0,19.985001101854383,tp1,1 -做空,2025-01-24 20:10:00+00:00,2025-01-24 20:15:00+00:00,3372.266,3365.0144666626393,7.251533337360797,10.751722042924248,0,10.751722042924248,trail_stop,1 -做空,2025-01-24 20:45:00+00:00,2025-01-24 20:55:00+00:00,3342.165368,3326.1612988524116,16.004069147588325,23.94266498722861,0,23.94266498722861,tp1,2 -做多,2025-01-24 21:15:00+00:00,2025-01-24 21:40:00+00:00,3331.456,3330.56,-0.8960000000001855,-1.3447573673495694,0,-1.3447573673495694,time_stop,5 -做空,2025-01-24 22:10:00+00:00,2025-01-24 22:20:00+00:00,3325.2209967565923,3332.02,-6.799003243407697,-10.223385528419643,0,-10.223385528419643,reverse,2 -做多,2025-01-24 22:20:00+00:00,2025-01-24 22:50:00+00:00,3329.822,3329.53,-0.2919999999999163,-0.43846187573977874,0,-0.43846187573977874,time_stop,6 -做空,2025-01-24 23:10:00+00:00,2025-01-24 23:30:00+00:00,3312.121580955908,3312.54,-0.41841904409193376,-0.6316480749042646,0,-0.6316480749042646,time_stop,4 -做空,2025-01-24 23:50:00+00:00,2025-01-25 00:10:00+00:00,3308.9437242637573,3297.872720648835,11.07100361492212,16.72890888675574,0,16.72890888675574,tp1,4 -做空,2025-01-25 00:30:00+00:00,2025-01-25 00:35:00+00:00,3302.790616,3288.3669754317284,14.423640568271821,21.835535832029596,0,21.835535832029596,tp1,1 -做空,2025-01-25 00:55:00+00:00,2025-01-25 01:10:00+00:00,3273.145583362439,3287.29,-14.14441663756088,-21.60676370378643,0,-21.60676370378643,time_stop,3 -做多,2025-01-25 01:30:00+00:00,2025-01-25 01:45:00+00:00,3298.386,3295.11,-3.27599999999984,-4.96606522098966,0,-4.96606522098966,time_stop,3 -做多,2025-01-25 02:05:00+00:00,2025-01-25 03:05:00+00:00,3293.422,3292.99,-0.43200000000024374,-0.6558527877694443,0,-0.6558527877694443,time_stop,12 -做多,2025-01-25 03:25:00+00:00,2025-01-25 03:30:00+00:00,3301.926,3311.3746195287476,9.448619528747713,14.30773967791482,0,14.30773967791482,tp1,1 -做空,2025-01-25 03:50:00+00:00,2025-01-25 04:15:00+00:00,3315.466,3310.5151770231696,4.950822976830295,7.466255085756113,0,7.466255085756113,trail_stop,5 -做多,2025-01-25 04:45:00+00:00,2025-01-25 04:55:00+00:00,3306.78,3296.7931740015465,-9.986825998453696,-15.100529818212424,0,-15.100529818212424,stop_loss,2 -做多,2025-01-25 05:35:00+00:00,2025-01-25 05:50:00+00:00,3299.6420000000003,3296.82,-2.8220000000001164,-4.276221480997205,0,-4.276221480997205,time_stop,3 -做空,2025-01-25 06:10:00+00:00,2025-01-25 06:15:00+00:00,3299.9191180736107,3283.914594645604,16.00452342800645,24.24987227770205,0,24.24987227770205,tp2,1 -做空,2025-01-25 06:35:00+00:00,2025-01-25 06:55:00+00:00,3288.9116019675735,3290.84,-1.928398032426685,-2.931665951850198,0,-2.931665951850198,time_stop,4 -做空,2025-01-25 07:15:00+00:00,2025-01-25 07:30:00+00:00,3289.0900871868894,3291.72,-2.6299128131104226,-3.9979336889488306,0,-3.9979336889488306,time_stop,3 -做空,2025-01-25 07:50:00+00:00,2025-01-25 08:05:00+00:00,3292.473357804097,3295.16,-2.686642195903005,-4.079975604866931,0,-4.079975604866931,time_stop,3 -做空,2025-01-25 08:30:00+00:00,2025-01-25 08:45:00+00:00,3287.7357311775404,3290.3,-2.5642688224597805,-3.899748994639174,0,-3.899748994639174,time_stop,3 -做多,2025-01-25 09:15:00+00:00,2025-01-25 09:25:00+00:00,3288.172,3285.28,-2.8919999999998254,-4.397580175246041,0,-4.397580175246041,reverse,2 -做空,2025-01-25 09:25:00+00:00,2025-01-25 09:45:00+00:00,3289.364887283948,3285.718030435875,3.6468568480731847,5.543405753145891,0,5.543405753145891,trail_stop,4 -做多,2025-01-25 10:10:00+00:00,2025-01-25 10:25:00+00:00,3278.014,3276.03,-1.9839999999999236,-3.0262225847722486,0,-3.0262225847722486,time_stop,3 -做多,2025-01-25 10:55:00+00:00,2025-01-25 11:10:00+00:00,3293.934,3292.0,-1.9340000000001965,-2.9356993795264206,0,-2.9356993795264206,time_stop,3 -做多,2025-01-25 11:45:00+00:00,2025-01-25 11:50:00+00:00,3299.768,3307.281191774201,7.513191774201005,11.384424259828274,0,11.384424259828274,tp1,1 -做空,2025-01-25 12:30:00+00:00,2025-01-25 12:40:00+00:00,3295.158162029551,3302.73,-7.571837970448996,-11.48933920335004,0,-11.48933920335004,reverse,2 -做多,2025-01-25 12:40:00+00:00,2025-01-25 12:45:00+00:00,3296.5,3300.6858364985533,4.185836498553272,6.348910205601808,0,6.348910205601808,trail_stop,1 -做空,2025-01-25 13:25:00+00:00,2025-01-25 13:40:00+00:00,3304.8723909543996,3304.96,-0.08760904560040217,-0.13254527745185032,0,-0.13254527745185032,time_stop,3 -做空,2025-01-25 14:00:00+00:00,2025-01-25 14:10:00+00:00,3305.0240000000003,3298.2768723211248,6.747127678875586,10.207380761645883,0,10.207380761645883,tp1,2 -做多,2025-01-25 14:40:00+00:00,2025-01-25 14:50:00+00:00,3300.992,3308.6836800013384,7.691680001338227,11.65055837962986,0,11.65055837962986,tp1,2 -做多,2025-01-25 15:10:00+00:00,2025-01-25 15:15:00+00:00,3317.2200000000003,3327.743625748366,10.523625748365703,15.862116091736006,0,15.862116091736006,tp1,1 -做多,2025-01-25 15:50:00+00:00,2025-01-25 16:15:00+00:00,3333.78505260729,3345.479759487543,11.694706880253307,17.539683416462466,0,17.539683416462466,tp1,5 -做多,2025-01-25 16:35:00+00:00,2025-01-25 16:45:00+00:00,3338.924842343174,3332.38,-6.544842343173968,-9.800823097564786,0,-9.800823097564786,reverse,2 -做空,2025-01-25 16:45:00+00:00,2025-01-25 16:55:00+00:00,3332.652,3341.0,-8.347999999999956,-12.524560020068037,0,-12.524560020068037,reverse,2 -做多,2025-01-25 16:55:00+00:00,2025-01-25 17:15:00+00:00,3334.559984,3331.44,-3.1199839999999313,-4.678254424827181,0,-4.678254424827181,time_stop,4 -做空,2025-01-25 17:35:00+00:00,2025-01-25 17:50:00+00:00,3335.432,3339.69,-4.258000000000266,-6.382981274989665,0,-6.382981274989665,time_stop,3 -做空,2025-01-25 18:10:00+00:00,2025-01-25 18:25:00+00:00,3336.1119999999996,3338.32,-2.2080000000005384,-3.3092414163561337,0,-3.3092414163561337,time_stop,3 -做空,2025-01-25 18:45:00+00:00,2025-01-25 19:00:00+00:00,3338.94,3338.98,-0.03999999999996362,-0.05989924946234976,0,-0.05989924946234976,time_stop,3 -做空,2025-01-25 19:25:00+00:00,2025-01-25 19:45:00+00:00,3340.06,3336.4097478546983,3.6502521453016925,5.464351157317073,0,5.464351157317073,trail_stop,4 -做多,2025-01-25 20:05:00+00:00,2025-01-25 20:15:00+00:00,3338.235486869021,3344.9533989970987,6.717912128077842,10.062070447850083,0,10.062070447850083,tp1,2 -做空,2025-01-25 20:35:00+00:00,2025-01-25 20:50:00+00:00,3346.732,3339.456486402084,7.27551359791596,10.869579036976909,0,10.869579036976909,tp1,3 -做空,2025-01-25 21:10:00+00:00,2025-01-25 21:25:00+00:00,3334.216,3338.4,-4.1840000000001965,-6.274338555150891,0,-6.274338555150891,time_stop,3 -做多,2025-01-25 22:00:00+00:00,2025-01-25 22:15:00+00:00,3340.765090763332,3340.16,-0.6050907633321003,-0.9056170471325223,0,-0.9056170471325223,time_stop,3 -做多,2025-01-25 22:50:00+00:00,2025-01-25 23:00:00+00:00,3333.616,3325.1130008472214,-8.502999152778557,-12.753417239385934,0,-12.753417239385934,stop_loss,2 -做空,2025-01-25 23:30:00+00:00,2025-01-25 23:50:00+00:00,3325.9739999999997,3318.3850870577794,7.588912942220304,11.408557225973963,0,11.408557225973963,tp1,4 -做空,2025-01-26 00:30:00+00:00,2025-01-26 00:45:00+00:00,3316.238,3326.0789699597512,-9.840969959751419,-14.837550802673722,0,-14.837550802673722,stop_loss,3 -做多,2025-01-26 01:05:00+00:00,2025-01-26 01:20:00+00:00,3324.064368923976,3331.149377446751,7.085008522774842,10.657146999034065,0,10.657146999034065,tp1,3 -做多,2025-01-26 01:50:00+00:00,2025-01-26 02:05:00+00:00,3327.5128872725345,3320.99,-6.522887272534717,-9.801445544334673,0,-9.801445544334673,time_stop,3 -做空,2025-01-26 02:35:00+00:00,2025-01-26 02:50:00+00:00,3320.838,3321.52,-0.681999999999789,-1.026849247087315,0,-1.026849247087315,time_stop,3 -做空,2025-01-26 03:20:00+00:00,2025-01-26 03:35:00+00:00,3329.058,3336.46,-7.402000000000044,-11.117258996388834,0,-11.117258996388834,time_stop,3 -做空,2025-01-26 04:00:00+00:00,2025-01-26 04:15:00+00:00,3337.252,3340.8,-3.548000000000229,-5.315750803355918,0,-5.315750803355918,time_stop,3 -做空,2025-01-26 05:00:00+00:00,2025-01-26 05:10:00+00:00,3351.8419999999996,3342.947558929037,8.894441070962785,13.267989766466894,0,13.267989766466894,tp1,2 -做多,2025-01-26 05:35:00+00:00,2025-01-26 05:45:00+00:00,3338.238,3346.0456657364143,7.807665736414492,11.694291623926294,0,11.694291623926294,tp1,2 -做多,2025-01-26 06:05:00+00:00,2025-01-26 06:20:00+00:00,3338.3501826166334,3346.1411212185217,7.790938601888229,11.668845650850221,0,11.668845650850221,tp1,3 -做多,2025-01-26 06:40:00+00:00,2025-01-26 06:55:00+00:00,3340.938423924494,3340.36,-0.5784239244940181,-0.8656608579672084,0,-0.8656608579672084,time_stop,3 -做空,2025-01-26 07:30:00+00:00,2025-01-26 07:40:00+00:00,3333.3819999999996,3336.43,-3.048000000000229,-4.571933249774897,0,-4.571933249774897,reverse,2 -做多,2025-01-26 07:40:00+00:00,2025-01-26 08:10:00+00:00,3336.438,3336.26,-0.17799999999988358,-0.26675154760838293,0,-0.26675154760838293,time_stop,6 -做空,2025-01-26 08:30:00+00:00,2025-01-26 08:35:00+00:00,3330.2819999999997,3323.462742005664,6.819257994335658,10.238259093878025,0,10.238259093878025,tp1,1 -做空,2025-01-26 09:00:00+00:00,2025-01-26 09:05:00+00:00,3329.96,3323.5214296452814,6.4385703547186495,9.6676391829311,0,9.6676391829311,tp1,1 -做空,2025-01-26 09:25:00+00:00,2025-01-26 09:30:00+00:00,3314.648,3306.5689609344263,8.079039065573852,12.186873335530425,0,12.186873335530425,tp1,1 -做空,2025-01-26 09:50:00+00:00,2025-01-26 10:05:00+00:00,3301.6923777788106,3302.51,-0.8176222211895947,-1.2381865534966103,0,-1.2381865534966103,time_stop,3 -做空,2025-01-26 10:35:00+00:00,2025-01-26 10:40:00+00:00,3302.569397784743,3295.145914091077,7.423483693666185,11.238951857674238,0,11.238951857674238,tp1,1 -做多,2025-01-26 11:10:00+00:00,2025-01-26 11:20:00+00:00,3306.23,3313.2338124090734,7.003812409073362,10.591840871738146,0,10.591840871738146,tp1,2 -做空,2025-01-26 11:40:00+00:00,2025-01-26 11:55:00+00:00,3308.908,3310.45,-1.5419999999999163,-2.3300738491368094,0,-2.3300738491368094,time_stop,3 -做多,2025-01-26 12:40:00+00:00,2025-01-26 12:50:00+00:00,3300.628,3306.771867304217,6.143867304216656,9.307118681985148,0,9.307118681985148,tp1,2 -做空,2025-01-26 13:15:00+00:00,2025-01-26 13:40:00+00:00,3304.9888343692514,3307.51,-2.521165630748783,-3.814181767470238,0,-3.814181767470238,time_stop,5 -做空,2025-01-26 14:00:00+00:00,2025-01-26 14:05:00+00:00,3306.3536024550067,3300.6430633430987,5.7105391119080195,8.635705369909433,0,8.635705369909433,tp1,1 -做空,2025-01-26 14:25:00+00:00,2025-01-26 14:35:00+00:00,3300.467840609289,3302.71,-2.2421593907110946,-3.396729644087634,0,-3.396729644087634,reverse,2 -做多,2025-01-26 14:35:00+00:00,2025-01-26 14:40:00+00:00,3301.466,3304.5056780146583,3.0396780146584206,4.603527667191515,0,4.603527667191515,trail_stop,1 -做空,2025-01-26 15:00:00+00:00,2025-01-26 15:15:00+00:00,3308.78,3316.402639100828,-7.622639100827655,-11.51880617754528,0,-11.51880617754528,stop_loss,3 -做空,2025-01-26 15:35:00+00:00,2025-01-26 15:50:00+00:00,3314.504,3314.95,-0.4459999999999127,-0.6728005155521198,0,-0.6728005155521198,time_stop,3 -做多,2025-01-26 16:30:00+00:00,2025-01-26 16:40:00+00:00,3312.3680000000004,3315.025868113596,2.6578681135956685,4.012036273740822,0,4.012036273740822,trail_stop,2 -做空,2025-01-26 17:15:00+00:00,2025-01-26 17:30:00+00:00,3318.75,3324.94,-6.190000000000055,-9.325800376647917,0,-9.325800376647917,time_stop,3 -做空,2025-01-26 17:55:00+00:00,2025-01-26 18:05:00+00:00,3334.64,3339.98,-5.3400000000001455,-8.006861310366554,0,-8.006861310366554,reverse,2 -做多,2025-01-26 18:05:00+00:00,2025-01-26 18:20:00+00:00,3338.8134919027984,3336.68,-2.133491902798596,-3.1949851466287114,0,-3.1949851466287114,time_stop,3 -做多,2025-01-26 18:40:00+00:00,2025-01-26 18:55:00+00:00,3338.157052417272,3335.83,-2.3270524172721707,-3.485534653899932,0,-3.485534653899932,time_stop,3 -做空,2025-01-26 19:20:00+00:00,2025-01-26 19:50:00+00:00,3335.038,3339.9,-4.86200000000008,-7.289272266163204,0,-7.289272266163204,time_stop,6 -做多,2025-01-26 20:20:00+00:00,2025-01-26 20:30:00+00:00,3337.882155110564,3335.2,-2.6821551105640538,-4.017749857431995,0,-4.017749857431995,reverse,2 -做空,2025-01-26 20:30:00+00:00,2025-01-26 20:35:00+00:00,3339.306,3333.3922815108926,5.913718489107396,8.854711860948646,0,8.854711860948646,tp1,1 -做空,2025-01-26 20:55:00+00:00,2025-01-26 21:00:00+00:00,3328.5519999999997,3322.527299404407,6.024700595592549,9.050032259662084,0,9.050032259662084,tp1,1 -做多,2025-01-26 21:20:00+00:00,2025-01-26 21:35:00+00:00,3314.5280000000002,3310.21,-4.318000000000211,-6.51374796049424,0,-6.51374796049424,time_stop,3 -做空,2025-01-26 21:55:00+00:00,2025-01-26 22:05:00+00:00,3296.774,3287.3807640166697,9.393235983330214,14.246102376641854,0,14.246102376641854,tp1,2 -做多,2025-01-26 22:30:00+00:00,2025-01-26 22:50:00+00:00,3299.2239999999997,3292.06,-7.16399999999976,-10.857098517711682,0,-10.857098517711682,time_stop,4 -做空,2025-01-26 23:15:00+00:00,2025-01-26 23:20:00+00:00,3263.9379999999996,3247.3897576579175,16.548242342082176,25.350117468656233,0,25.350117468656233,tp1,1 -做空,2025-01-26 23:40:00+00:00,2025-01-27 00:00:00+00:00,3238.672,3221.7026196161682,16.969380383831776,26.198053374703857,0,26.198053374703857,tp1,4 -做空,2025-01-27 00:30:00+00:00,2025-01-27 00:50:00+00:00,3228.946,3209.763068347125,19.182931652874686,29.704633730131576,0,29.704633730131576,tp1,4 -做空,2025-01-27 01:10:00+00:00,2025-01-27 01:20:00+00:00,3205.11,3212.66,-7.549999999999727,-11.778066899419562,0,-11.778066899419562,reverse,2 -做多,2025-01-27 01:20:00+00:00,2025-01-27 01:55:00+00:00,3200.188,3194.14,-6.048000000000229,-9.449444845115707,0,-9.449444845115707,time_stop,7 -做空,2025-01-27 02:15:00+00:00,2025-01-27 02:30:00+00:00,3188.85,3166.3228339492343,22.527166050765572,35.321771251023996,0,35.321771251023996,tp1,3 -做空,2025-01-27 02:55:00+00:00,2025-01-27 03:10:00+00:00,3174.528,3186.43,-11.902000000000044,-18.7460939075038,0,-18.7460939075038,time_stop,3 -做空,2025-01-27 03:30:00+00:00,2025-01-27 03:50:00+00:00,3189.620904,3182.958677443978,6.662226556021778,10.443602479007609,0,10.443602479007609,trail_stop,4 -做空,2025-01-27 04:10:00+00:00,2025-01-27 04:15:00+00:00,3170.2016000000003,3157.822206568907,12.379393431093376,19.52461545520224,0,19.52461545520224,tp1,1 -做空,2025-01-27 04:45:00+00:00,2025-01-27 05:00:00+00:00,3164.5839747469886,3157.778720603578,6.805254143410366,10.752209765510257,0,10.752209765510257,trail_stop,3 -做空,2025-01-27 05:20:00+00:00,2025-01-27 05:35:00+00:00,3154.7007541949256,3141.9117209314372,12.789033263488363,20.269804111344474,0,20.269804111344474,tp1,3 -做多,2025-01-27 05:55:00+00:00,2025-01-27 06:00:00+00:00,3130.28,3136.0286250534673,5.748625053467094,9.182285695636004,0,9.182285695636004,trail_stop,1 -做空,2025-01-27 06:35:00+00:00,2025-01-27 06:40:00+00:00,3117.506,3096.8296038376857,20.676396162314177,33.16175840930888,0,33.16175840930888,tp1,1 -做空,2025-01-27 07:15:00+00:00,2025-01-27 07:20:00+00:00,3082.062,3034.0731090401546,47.98889095984532,77.85192341984899,0,77.85192341984899,tp2,1 -做空,2025-01-27 08:15:00+00:00,2025-01-27 08:55:00+00:00,3063.522,3064.19,-0.66800000000012,-1.0902484134276171,0,-1.0902484134276171,time_stop,8 -做空,2025-01-27 09:20:00+00:00,2025-01-27 09:25:00+00:00,3079.57,3059.844184598972,19.725815401028285,32.0268988869035,0,32.0268988869035,tp1,1 -做空,2025-01-27 10:00:00+00:00,2025-01-27 10:15:00+00:00,3078.424,3060.286249610495,18.137750389505072,29.45947405150342,0,29.45947405150342,tp1,3 -做空,2025-01-27 10:35:00+00:00,2025-01-27 11:00:00+00:00,3047.268,3052.01,-4.742000000000189,-7.780739993988368,0,-7.780739993988368,time_stop,5 -做多,2025-01-27 11:20:00+00:00,2025-01-27 11:35:00+00:00,3066.3920000000003,3063.5,-2.89200000000028,-4.715639748604027,0,-4.715639748604027,time_stop,3 -做空,2025-01-27 11:55:00+00:00,2025-01-27 12:35:00+00:00,3061.722711360714,3069.12,-7.397288639285762,-12.080272017837634,0,-12.080272017837634,time_stop,8 -做多,2025-01-27 13:10:00+00:00,2025-01-27 13:25:00+00:00,3133.272,3117.18,-16.0920000000001,-25.679226061446464,0,-25.679226061446464,time_stop,3 -做空,2025-01-27 13:45:00+00:00,2025-01-27 14:10:00+00:00,3106.2239999999997,3085.347173267675,20.876826732324844,33.604831352028775,0,33.604831352028775,tp1,5 -做多,2025-01-27 14:45:00+00:00,2025-01-27 15:00:00+00:00,3130.334,3129.14,-1.19399999999996,-1.907144732798417,0,-1.907144732798417,time_stop,3 -做多,2025-01-27 15:20:00+00:00,2025-01-27 15:25:00+00:00,3118.458,3140.743626201627,22.28562620162711,35.73180431102024,0,35.73180431102024,tp1,1 -做空,2025-01-27 15:55:00+00:00,2025-01-27 16:05:00+00:00,3140.8720000000003,3120.1708209806884,20.701179019311894,32.95450916069151,0,32.95450916069151,tp1,2 -做空,2025-01-27 16:30:00+00:00,2025-01-27 16:35:00+00:00,3117.464,3099.0575547912117,18.406445208788227,29.521504031463117,0,29.521504031463117,tp1,1 -做空,2025-01-27 17:05:00+00:00,2025-01-27 17:20:00+00:00,3092.006,3068.845083504636,23.160916495363836,37.45289707614383,0,37.45289707614383,tp1,3 -做空,2025-01-27 17:40:00+00:00,2025-01-27 17:50:00+00:00,3090.83,3070.345890547629,20.48410945237083,33.13690732322844,0,33.13690732322844,tp1,2 -做空,2025-01-27 18:20:00+00:00,2025-01-27 18:40:00+00:00,3076.328,3058.5578800845215,17.770119915478517,28.882030647379796,0,28.882030647379796,tp1,4 -做多,2025-01-27 19:00:00+00:00,2025-01-27 19:20:00+00:00,3055.248,3064.573510254566,9.32551025456587,15.261462006629035,0,15.261462006629035,trail_stop,4 -做空,2025-01-27 19:40:00+00:00,2025-01-27 20:00:00+00:00,3076.084,3081.2,-5.1159999999999854,-8.315767709854454,0,-8.315767709854454,time_stop,4 -做多,2025-01-27 20:20:00+00:00,2025-01-27 20:25:00+00:00,3089.016,3105.031108065999,16.015108065998902,25.92266933223865,0,25.92266933223865,tp1,1 -做多,2025-01-27 20:45:00+00:00,2025-01-27 20:50:00+00:00,3122.3140000000003,3129.8569699862046,7.542969986204298,12.079134235384874,0,12.079134235384874,trail_stop,1 -做多,2025-01-27 21:10:00+00:00,2025-01-27 21:15:00+00:00,3177.752,3220.032848241698,42.280848241698095,66.52634982481027,0,66.52634982481027,tp2,1 -做空,2025-01-27 21:50:00+00:00,2025-01-27 22:05:00+00:00,3157.874,3168.67,-10.796000000000276,-17.093778915815317,0,-17.093778915815317,time_stop,3 -做多,2025-01-27 22:25:00+00:00,2025-01-27 22:40:00+00:00,3154.336,3162.210415397065,7.87441539706515,12.481890637308691,0,12.481890637308691,trail_stop,3 -做多,2025-01-27 23:00:00+00:00,2025-01-27 23:15:00+00:00,3170.354,3165.07,-5.283999999999651,-8.33345424517207,0,-8.33345424517207,time_stop,3 -做多,2025-01-27 23:45:00+00:00,2025-01-27 23:55:00+00:00,3165.517512,3178.888644974814,13.371132974813918,21.119979472749662,0,21.119979472749662,tp1,2 -做空,2025-01-28 00:30:00+00:00,2025-01-28 00:50:00+00:00,3176.982,3163.3364906745605,13.645509325439434,21.475584887543324,0,21.475584887543324,tp1,4 -做多,2025-01-28 01:10:00+00:00,2025-01-28 01:25:00+00:00,3161.184,3152.78,-8.403999999999996,-13.292487877959644,0,-13.292487877959644,time_stop,3 -做多,2025-01-28 01:50:00+00:00,2025-01-28 02:10:00+00:00,3167.9949501861233,3173.0013774585163,5.006427272393012,7.901570790223132,0,7.901570790223132,trail_stop,4 -做空,2025-01-28 03:05:00+00:00,2025-01-28 03:20:00+00:00,3176.5800000000004,3193.600902363676,-17.02090236367576,-26.791238318688272,0,-26.791238318688272,stop_loss,3 -做多,2025-01-28 03:40:00+00:00,2025-01-28 03:55:00+00:00,3203.3953120215656,3201.47,-1.9253120215657873,-3.005111505190381,0,-3.005111505190381,time_stop,3 -做多,2025-01-28 04:20:00+00:00,2025-01-28 04:30:00+00:00,3198.3195429498624,3203.379088608455,5.059545658592469,7.909693810528337,0,7.909693810528337,trail_stop,2 -做多,2025-01-28 05:00:00+00:00,2025-01-28 05:15:00+00:00,3210.799192,3208.66,-2.1391920000000937,-3.3312453879552577,0,-3.3312453879552577,time_stop,3 -做多,2025-01-28 05:35:00+00:00,2025-01-28 05:50:00+00:00,3217.328949205828,3211.99,-5.338949205828158,-8.297176462397534,0,-8.297176462397534,time_stop,3 -做空,2025-01-28 06:30:00+00:00,2025-01-28 06:35:00+00:00,3205.492,3201.710914652498,3.781085347502085,5.8978237155202455,0,5.8978237155202455,trail_stop,1 -做空,2025-01-28 06:55:00+00:00,2025-01-28 07:05:00+00:00,3194.484,3200.4,-5.916000000000167,-9.259711427573542,0,-9.259711427573542,reverse,2 -做多,2025-01-28 07:05:00+00:00,2025-01-28 07:10:00+00:00,3193.7028560000003,3203.5193367708684,9.816480770868111,15.3684942110784,0,15.3684942110784,tp1,1 -做空,2025-01-28 07:35:00+00:00,2025-01-28 07:45:00+00:00,3206.362,3196.8230352066053,9.538964793394825,14.875059012979236,0,14.875059012979236,tp1,2 -做多,2025-01-28 08:15:00+00:00,2025-01-28 08:20:00+00:00,3190.7140911222664,3201.0681015768473,10.35401045458093,16.225224446448482,0,16.225224446448482,tp1,1 -做多,2025-01-28 08:40:00+00:00,2025-01-28 09:20:00+00:00,3192.4586707222347,3191.46,-0.9986707222346922,-1.5641090852536572,0,-1.5641090852536572,time_stop,8 -做多,2025-01-28 09:40:00+00:00,2025-01-28 09:55:00+00:00,3187.1839999999997,3197.198785484696,10.014785484696404,15.711024974862456,0,15.711024974862456,tp1,3 -做多,2025-01-28 10:15:00+00:00,2025-01-28 10:20:00+00:00,3194.8497907527653,3199.773306393642,4.923515640876758,7.705394562097217,0,7.705394562097217,trail_stop,1 -做空,2025-01-28 10:40:00+00:00,2025-01-28 10:45:00+00:00,3196.812,3193.116252169574,3.6957478304257165,5.7803646733460035,0,5.7803646733460035,trail_stop,1 -做多,2025-01-28 11:05:00+00:00,2025-01-28 11:15:00+00:00,3195.3487249305444,3188.75,-6.598724930544449,-10.32551608383195,0,-10.32551608383195,reverse,2 -做空,2025-01-28 11:15:00+00:00,2025-01-28 11:25:00+00:00,3194.6980000000003,3185.5168501250987,9.181149874901621,14.369354904441078,0,14.369354904441078,tp1,2 -做多,2025-01-28 11:45:00+00:00,2025-01-28 12:05:00+00:00,3184.9329190178173,3193.6328626792288,8.699943661411453,13.657970014788221,0,13.657970014788221,tp1,4 -做空,2025-01-28 12:30:00+00:00,2025-01-28 12:40:00+00:00,3180.1540000000005,3170.5480786381695,9.605921361830951,15.102918540785996,0,15.102918540785996,tp1,2 -做多,2025-01-28 13:05:00+00:00,2025-01-28 13:20:00+00:00,3177.9171987301374,3181.7316924569254,3.814493726787987,6.001562482987628,0,6.001562482987628,trail_stop,3 -做多,2025-01-28 13:45:00+00:00,2025-01-28 14:00:00+00:00,3176.866,3167.84,-9.02599999999984,-14.205824230546456,0,-14.205824230546456,time_stop,3 -做多,2025-01-28 14:25:00+00:00,2025-01-28 14:40:00+00:00,3170.5240000000003,3161.53,-8.994000000000142,-14.183775300234505,0,-14.183775300234505,time_stop,3 -做多,2025-01-28 15:00:00+00:00,2025-01-28 15:05:00+00:00,3172.978,3190.0502260978838,17.072226097883686,26.90252831548735,0,26.90252831548735,tp1,1 -做多,2025-01-28 15:25:00+00:00,2025-01-28 15:40:00+00:00,3196.2580000000003,3189.03,-7.2280000000000655,-11.306972090488415,0,-11.306972090488415,time_stop,3 -做空,2025-01-28 16:50:00+00:00,2025-01-28 16:55:00+00:00,3159.8199999999997,3140.723318540397,19.096681459602678,30.217989410160516,0,30.217989410160516,tp1,1 -做空,2025-01-28 17:20:00+00:00,2025-01-28 17:40:00+00:00,3179.52,3162.0849963813407,17.435003618659266,27.417666217949982,0,27.417666217949982,tp1,4 -做空,2025-01-28 18:05:00+00:00,2025-01-28 18:35:00+00:00,3167.598528,3159.019140776697,8.579387223303002,13.542415725139207,0,13.542415725139207,trail_stop,6 -做空,2025-01-28 18:55:00+00:00,2025-01-28 19:00:00+00:00,3149.361177563905,3136.5264694714842,12.834708092420897,20.376684935115644,0,20.376684935115644,tp1,1 -做空,2025-01-28 19:30:00+00:00,2025-01-28 19:45:00+00:00,3140.53744,3149.04,-8.502559999999903,-13.53679133339659,0,-13.53679133339659,time_stop,3 -做多,2025-01-28 20:05:00+00:00,2025-01-28 20:20:00+00:00,3144.344,3140.55,-3.793999999999869,-6.033054907478109,0,-6.033054907478109,time_stop,3 -做空,2025-01-28 20:40:00+00:00,2025-01-28 20:45:00+00:00,3129.275064,3116.048415136211,13.226648863788796,21.133726810965946,0,21.133726810965946,tp1,1 -做空,2025-01-28 21:20:00+00:00,2025-01-28 21:25:00+00:00,3111.536,3094.6456919778484,16.890308022151657,27.141431148718283,0,27.141431148718283,tp1,1 -做空,2025-01-28 21:55:00+00:00,2025-01-28 22:00:00+00:00,3063.46,3044.2200901399515,19.239909860048556,31.40225408532926,0,31.40225408532926,tp1,1 -做空,2025-01-28 22:20:00+00:00,2025-01-28 22:40:00+00:00,3076.524,3079.68,-3.155999999999949,-5.1291652527331975,0,-5.1291652527331975,time_stop,4 -做多,2025-01-28 23:05:00+00:00,2025-01-28 23:15:00+00:00,3085.9240000000004,3072.72,-13.204000000000633,-21.39391637642507,0,-21.39391637642507,reverse,2 -做空,2025-01-28 23:15:00+00:00,2025-01-28 23:25:00+00:00,3078.3900000000003,3070.7626916690497,7.627308330950655,12.388469834801072,0,12.388469834801072,trail_stop,2 -做多,2025-01-28 23:45:00+00:00,2025-01-29 00:05:00+00:00,3071.0799999999995,3087.1425750437675,16.062575043767993,26.15134585189574,0,26.15134585189574,tp1,4 -做多,2025-01-29 00:30:00+00:00,2025-01-29 00:45:00+00:00,3095.368,3110.0106018795527,14.642601879552785,23.652441130671352,0,23.652441130671352,tp1,3 -做空,2025-01-29 01:05:00+00:00,2025-01-29 01:30:00+00:00,3114.124,3107.480962286555,6.643037713444755,10.665981369792526,0,10.665981369792526,trail_stop,5 -做多,2025-01-29 02:00:00+00:00,2025-01-29 02:05:00+00:00,3109.308,3120.056836560839,10.748836560839209,17.284933755097935,0,17.284933755097935,tp1,1 -做多,2025-01-29 02:30:00+00:00,2025-01-29 02:45:00+00:00,3115.482,3112.56,-2.9220000000000255,-4.689483039863536,0,-4.689483039863536,time_stop,3 -做多,2025-01-29 03:05:00+00:00,2025-01-29 03:10:00+00:00,3113.332,3122.5575388543325,9.225538854332626,14.816182235515882,0,14.816182235515882,tp1,1 -做多,2025-01-29 03:35:00+00:00,2025-01-29 03:40:00+00:00,3116.914,3125.9391592794063,9.025159279406125,14.477716227342373,0,14.477716227342373,tp1,1 -做空,2025-01-29 04:00:00+00:00,2025-01-29 04:15:00+00:00,3126.384,3130.01,-3.6260000000002037,-5.799031724830034,0,-5.799031724830034,time_stop,3 -做空,2025-01-29 04:35:00+00:00,2025-01-29 05:00:00+00:00,3131.05,3121.167117562758,9.882882437242188,15.782057835617744,0,15.782057835617744,tp1,5 -做空,2025-01-29 05:25:00+00:00,2025-01-29 05:35:00+00:00,3127.560452982817,3119.452105387052,8.108347595764826,12.962735201539802,0,12.962735201539802,tp1,2 -做多,2025-01-29 05:55:00+00:00,2025-01-29 06:10:00+00:00,3127.1820000000002,3135.2307990441705,8.04879904417021,12.869092755346841,0,12.869092755346841,tp1,3 -做多,2025-01-29 06:30:00+00:00,2025-01-29 06:35:00+00:00,3141.646,3145.7584820916136,4.112482091613401,6.545107392133616,0,6.545107392133616,trail_stop,1 -做多,2025-01-29 06:55:00+00:00,2025-01-29 07:05:00+00:00,3143.8262995162227,3140.3,-3.5262995162224797,-5.6082925395164365,0,-5.6082925395164365,reverse,2 -做空,2025-01-29 07:05:00+00:00,2025-01-29 07:20:00+00:00,3141.834,3145.52,-3.686000000000149,-5.8660005589094615,0,-5.8660005589094615,time_stop,3 -做多,2025-01-29 07:45:00+00:00,2025-01-29 08:00:00+00:00,3151.3720079767927,3159.5543614458643,8.182353469071586,12.982208143564629,0,12.982208143564629,tp1,3 -做空,2025-01-29 08:35:00+00:00,2025-01-29 09:00:00+00:00,3148.9419999999996,3140.7898747239606,8.152125276038987,12.94422900777307,0,12.94422900777307,tp1,5 -做空,2025-01-29 09:20:00+00:00,2025-01-29 09:25:00+00:00,3133.3499999999995,3124.69363879929,8.656361200709398,13.813268866723154,0,13.813268866723154,tp1,1 -做空,2025-01-29 09:50:00+00:00,2025-01-29 10:00:00+00:00,3131.734,3123.2273989134055,8.5066010865944,13.581295676124475,0,13.581295676124475,tp1,2 -做多,2025-01-29 10:20:00+00:00,2025-01-29 10:45:00+00:00,3134.7120586021824,3134.4,-0.31205860218233283,-0.4977468366288875,0,-0.4977468366288875,time_stop,5 -做空,2025-01-29 11:25:00+00:00,2025-01-29 11:40:00+00:00,3136.7400000000002,3140.12,-3.3799999999996544,-5.387759265988979,0,-5.387759265988979,time_stop,3 -做多,2025-01-29 12:30:00+00:00,2025-01-29 12:40:00+00:00,3125.12,3115.029372318359,-10.090627681640854,-16.14438434626647,0,-16.14438434626647,stop_loss,2 -做空,2025-01-29 13:00:00+00:00,2025-01-29 13:05:00+00:00,3118.287622370718,3099.8551442309094,18.43247813980861,29.555448970732023,0,29.555448970732023,tp2,1 -做空,2025-01-29 13:25:00+00:00,2025-01-29 13:35:00+00:00,3089.6624062471406,3104.8911089636017,-15.228702716461157,-24.644606293667383,0,-24.644606293667383,stop_loss,2 -做空,2025-01-29 14:05:00+00:00,2025-01-29 14:20:00+00:00,3099.6677967180553,3110.11,-10.442203281944785,-16.84406840791301,0,-16.84406840791301,time_stop,3 -做空,2025-01-29 14:45:00+00:00,2025-01-29 14:50:00+00:00,3097.1075652361187,3081.7800894505094,15.327475785609295,24.74482313377571,0,24.74482313377571,tp1,1 -做空,2025-01-29 15:15:00+00:00,2025-01-29 15:55:00+00:00,3106.5319999999997,3099.65,6.881999999999607,11.076660404592015,0,11.076660404592015,tail,8 diff --git a/adaptive_third_strategy/config.py b/adaptive_third_strategy/config.py deleted file mode 100644 index 17cada9..0000000 --- a/adaptive_third_strategy/config.py +++ /dev/null @@ -1,97 +0,0 @@ -# -*- coding: utf-8 -*- -""" -自适应三分位趋势策略 - 配置参数 -""" - -# ========== 数据与周期 ========== -CONTRACT_SYMBOL = "ETHUSDT" -STEP_5M = 5 -STEP_15M = 15 -STEP_60M = 60 - -# 有效K线标准：实体 >= max(ATR(20)*0.1, 最小波动阈值) -MIN_BODY_ATR_RATIO = 0.1 -MIN_VOLATILITY_PERCENT = 0.0005 # 当前价格 × 0.05% - -# ========== 趋势判断（EMA周期） ========== -# 长期：1小时 EMA(50) vs EMA(200) -EMA_LONG_FAST = 50 -EMA_LONG_SLOW = 200 -# 中期：15分钟 EMA(20) vs EMA(50) -EMA_MID_FAST = 20 -EMA_MID_SLOW = 50 -# 短期：5分钟 EMA(9) -EMA_SHORT = 9 - -# 交易模式：aggressive / conservative / strict -TREND_MODE = "conservative" - -# ========== 动态触发 ========== -ATR_PERIOD = 20 -VOLATILITY_COEF_CLAMP = (0.3, 3.0) # 波动率系数范围 -BASE_COEF = 0.33 -# 趋势方向系数（顺势更易触发） -TREND_FAVOR_COEF = 0.8 -TREND_AGAINST_COEF = 1.2 - -# ========== 信号确认（至少满足几项） ========== -CONFIRM_REQUIRED = 2 -VOLUME_MA_PERIOD = 20 -VOLUME_RATIO_THRESHOLD = 0.8 # 成交量 > 前20根均量 × 0.8 - -# ========== 风险管理 ========== -MAX_POSITION_PERCENT = 0.10 # 单笔最大 10% -BASE_POSITION_PERCENT = 0.02 # 基础仓位 2% -STOP_LOSS_ATR_MULT = 2.0 # 硬止损 = ATR × 2.0 -TIME_STOP_BARS = 3 # 3根K线未盈利平仓 -TRAIL_START_ATR = 1.0 # 盈利 1×ATR 后启动移动止损 -TRAIL_ATR_MULT = 0.5 # 移动止损距离 0.5×ATR -# 止盈目标（ATR倍数）与分批比例 -TP1_ATR = 1.5 -TP2_ATR = 3.0 -TP3_ATR = 5.0 -TP1_RATIO = 0.30 -TP2_RATIO = 0.30 -TP3_RATIO = 0.40 - -# ========== 反手条件 ========== -REVERSE_BREAK_MULT = 0.5 # 突破幅度 > 实体/2 -REVERSE_LOSS_ATR = 0.5 # 当前持仓亏损 > 0.5×ATR 可反手 -MIN_BARS_SINCE_ENTRY = 2 # 距离上次开仓至少2根K线 -SAME_KLINE_NO_REVERSE = True # 同一K线不反手 - -# ========== 市场状态调整 ========== -# 强趋势 / 震荡 / 高波动 时的系数 -STRONG_TREND_COEF = 0.25 -STRONG_TREND_STOP_ATR = 3.0 -RANGE_COEF = 0.4 -RANGE_STOP_ATR = 1.5 -HIGH_VOL_POSITION_COEF = 0.5 -HIGH_VOL_EXTRA_CONFIRM = 1 - -# ========== 禁止交易时段（UTC+8 小时:分） ========== -FORBIDDEN_PERIODS = [ - (0, 0, 0, 30), # 00:00-00:30 - (8, 0, 8, 30), # 08:00-08:30 - (20, 0, 20, 30), # 20:00-20:30 -] -# 高波动暂停：ATR > 平均ATR × 2 暂停 -ATR_PAUSE_MULT = 2.0 - -# ========== 自适应绩效 ========== -CONSECUTIVE_LOSS_PAUSE = 3 # 连续亏损3次仓位减半 -WIN_RATE_LOOKBACK = 20 -WIN_RATE_PAUSE_THRESHOLD = 0.40 # 胜率<40% 暂停 -MAX_DRAWDOWN_PERCENT = 0.10 # 最大回撤10% 观察期 -MAX_TRADES_PER_DAY = 20 -MAX_HOLD_BARS = 4 * 12 # 4小时 ≈ 4*12 根5分钟 - -# ========== 回测/实盘通用 ========== -CONTRACT_SIZE = 10000 -SLIPPAGE_POINTS = 3 -FEE_RATE = 0.0005 -FEE_FIXED = 5 -# 回测专用：固定手续费（合约多为按比例，可设为 0 观察策略本身） -FEE_FIXED_BACKTEST = 0 -# 两笔开仓之间至少间隔 N 根 5 分钟 K 线，减少过度交易 -MIN_BARS_BETWEEN_TRADES = 4 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-1738162800,3095.81,3117.95,3092.7,3099.65,80143028.0 diff --git a/adaptive_third_strategy/data_fetcher.py b/adaptive_third_strategy/data_fetcher.py deleted file mode 100644 index 77c6d73..0000000 --- a/adaptive_third_strategy/data_fetcher.py +++ /dev/null @@ -1,172 +0,0 @@ -# -*- coding: utf-8 -*- -""" -Bitmart 多周期K线数据抓取 - 供回测与实盘使用 -与 bitmart/回测.py、bitmart/抓取多周期K线.py 相同的 API 调用方式 -""" - -import time -import csv -import os -from typing import List, Dict, Optional -try: - from loguru import logger -except ImportError: - import logging - logger = logging.getLogger(__name__) - -# 项目根目录为 lm_code，bitmart 包在根目录 -import sys -SCRIPT_DIR = os.path.dirname(os.path.abspath(__file__)) -ROOT_DIR = os.path.dirname(SCRIPT_DIR) -if ROOT_DIR not in sys.path: - sys.path.insert(0, ROOT_DIR) - -# 默认 API（与 bitmart/回测.py 一致，回测仅拉数据可不填有效 key） -# APIContract 在 fetch_klines / fetch_multi_timeframe 内按需导入，以便 --no-api 回测不依赖 bitmart -DEFAULT_API_KEY = "a0fb7b98464fd9bcce67e7c519d58ec10d0c38a8" -DEFAULT_SECRET_KEY = "4eaeba78e77aeaab1c2027f846a276d164f264a44c2c1bb1c5f3be50c8de1ca5" -DEFAULT_MEMO = "合约交易" -CONTRACT_SYMBOL = "ETHUSDT" - - -def _format_bar(k: dict) -> dict: - """API 单根K线 -> 统一格式，id 为秒时间戳""" - return { - "id": int(k["timestamp"]), - "open": float(k["open_price"]), - "high": float(k["high_price"]), - "low": float(k["low_price"]), - "close": float(k["close_price"]), - "volume": float(k.get("volume", 0)), - } - - -def fetch_klines( - contract_api: "APIContract", - step: int, - start_time: int, - end_time: int, - symbol: str = CONTRACT_SYMBOL, -) -> List[Dict]: - """ - 拉取指定周期的K线（与 bitmart 回测抓取方式一致）。 - :param contract_api: bitmart.api_contract.APIContract 实例 - :param step: K线周期（分钟），如 5/15/60 - :param start_time: 开始时间戳（秒） - :param end_time: 结束时间戳（秒） - :param symbol: 合约符号 - :return: [{"id", "open", "high", "low", "close", "volume"}, ...]，按 id 升序 - """ - all_data: List[Dict] = [] - existing_ids = set() - request_interval = step * 60 * 500 # 每次最多约 500 根 - current_start = start_time - - while current_start < end_time: - current_end = min(current_start + request_interval, end_time) - try: - response = contract_api.get_kline( - contract_symbol=symbol, - step=step, - start_time=current_start, - end_time=current_end, - )[0] - if response.get("code") != 1000: - logger.warning(f"get_kline code={response.get('code')}, msg={response.get('msg')}") - time.sleep(1) - current_start = current_end - continue - data = response.get("data", []) - except Exception as e: - logger.warning(f"get_kline 异常 step={step} {e}，60秒后重试") - time.sleep(60) - continue - - for k in data: - k_id = int(k["timestamp"]) - if k_id in existing_ids: - continue - existing_ids.add(k_id) - all_data.append(_format_bar(k)) - - if len(data) < 500: - current_start = current_end - else: - all_data.sort(key=lambda x: x["id"]) - current_start = all_data[-1]["id"] + 1 - - time.sleep(0.25) - - all_data.sort(key=lambda x: x["id"]) - return all_data - - -def fetch_multi_timeframe( - start_time: int, - end_time: int, - steps: List[int] = None, - api_key: str = DEFAULT_API_KEY, - secret_key: str = DEFAULT_SECRET_KEY, - memo: str = DEFAULT_MEMO, - symbol: str = CONTRACT_SYMBOL, -) -> Dict[int, List[Dict]]: - """ - 拉取多周期K线（5/15/60），供回测使用。 - :return: { step: [kline_list] } - """ - steps = steps or [5, 15, 60] - from bitmart.api_contract import APIContract - api = APIContract(api_key, secret_key, memo, timeout=(5, 15)) - result = {} - for step in steps: - logger.info(f"抓取 {step} 分钟 K 线: {start_time} ~ {end_time}") - result[step] = fetch_klines(api, step, start_time, end_time, symbol) - logger.info(f" -> {len(result[step])} 条") - return result - - -def save_klines_csv(klines: List[Dict], path: str) -> None: - """将K线保存为 CSV（id, open, high, low, close, volume）""" - if not klines: - return - cols = ["id", "open", "high", "low", "close", "volume"] - with open(path, "w", newline="", encoding="utf-8") as f: - w = csv.DictWriter(f, fieldnames=cols) - w.writeheader() - for row in klines: - w.writerow({k: row.get(k) for k in cols}) - logger.info(f"已保存 {len(klines)} 条到 {path}") - - -def load_klines_csv(path: str) -> List[Dict]: - """从 CSV 加载K线""" - if not os.path.isfile(path): - return [] - with open(path, "r", encoding="utf-8") as f: - r = csv.DictReader(f) - rows = list(r) - out = [] - for row in rows: - out.append({ - "id": int(row["id"]), - "open": float(row["open"]), - "high": float(row["high"]), - "low": float(row["low"]), - "close": float(row["close"]), - "volume": float(row.get("volume", 0)), - }) - out.sort(key=lambda x: x["id"]) - return out - - -if __name__ == "__main__": - import datetime - # 示例：拉取最近约 30 天 5/15/60 分钟数据并保存 - end_ts = int(time.time()) - start_ts = end_ts - 30 * 24 * 3600 - data_dir = os.path.join(SCRIPT_DIR, "data") - os.makedirs(data_dir, exist_ok=True) - data = fetch_multi_timeframe(start_ts, end_ts, steps=[5, 15, 60]) - for step, klines in data.items(): - path = os.path.join(data_dir, f"kline_{step}m.csv") - save_klines_csv(klines, path) diff --git a/adaptive_third_strategy/indicators.py b/adaptive_third_strategy/indicators.py deleted file mode 100644 index 143d8bf..0000000 --- a/adaptive_third_strategy/indicators.py +++ /dev/null @@ -1,86 +0,0 @@ -# -*- coding: utf-8 -*- -""" -技术指标：EMA、ATR -""" - -from typing import List, Dict, Optional - - -def ema(series: List[float], period: int) -> List[Optional[float]]: - """EMA(period)，前 period-1 个为 None""" - if not series or period < 1: - return [] - k = 2.0 / (period + 1) - out: List[Optional[float]] = [None] * (period - 1) - s = sum(series[:period]) - out.append(s / period) - for i in range(period, len(series)): - val = series[i] * k + out[-1] * (1 - k) # type: ignore - out.append(val) - return out - - -def atr(high: List[float], low: List[float], close: List[float], period: int) -> List[Optional[float]]: - """ATR(period)，前 period 个为 None""" - n = len(close) - if n < period + 1 or len(high) != n or len(low) != n: - return [None] * n - tr_list: List[float] = [] - for i in range(n): - if i == 0: - tr_list.append(high[0] - low[0]) - else: - tr = max( - high[i] - low[i], - abs(high[i] - close[i - 1]), - abs(low[i] - close[i - 1]) - ) - tr_list.append(tr) - return ema(tr_list, period) - - -def get_ema_atr_from_klines(klines: List[Dict], ema_period: int, atr_period: int - ) -> tuple: - """ - 从K线列表计算收盘价 EMA 和 ATR。 - 返回 (ema_list, atr_list)，长度与 klines 一致。 - """ - close = [float(k["close"]) for k in klines] - high = [float(k["high"]) for k in klines] - low = [float(k["low"]) for k in klines] - ema_list = ema(close, ema_period) - atr_list = atr(high, low, close, atr_period) - return ema_list, atr_list - - -def align_higher_tf_ema( - klines_5m: List[Dict], - klines_higher: List[Dict], - ema_fast: int, - ema_slow: int -) -> List[Dict]: - """ - 根据更高周期K线计算 EMA，并按 5 分钟时间对齐。 - 返回列表长度与 klines_5m 一致，每项为 {"ema_fast": float, "ema_slow": float} 或 None。 - """ - if not klines_higher or len(klines_higher) < ema_slow: - return [{}] * len(klines_5m) - close_hi = [float(k["close"]) for k in klines_higher] - ema_f = ema(close_hi, ema_fast) - ema_s = ema(close_hi, ema_slow) - id_hi = [k["id"] for k in klines_higher] - result = [] - for k5 in klines_5m: - t = k5["id"] - # 当前 5m 时刻所属的更高周期：取 <= t 的最后一根 - idx = -1 - for i, tid in enumerate(id_hi): - if tid <= t: - idx = i - else: - break - if idx >= ema_slow - 1 and ema_f[idx] is not None and ema_s[idx] is not None: - result.append({"ema_fast": ema_f[idx], "ema_slow": ema_s[idx]}) - else: - result.append({}) - return result diff --git a/adaptive_third_strategy/strategy_core.py b/adaptive_third_strategy/strategy_core.py deleted file mode 100644 index 53dff2b..0000000 --- a/adaptive_third_strategy/strategy_core.py +++ /dev/null @@ -1,305 +0,0 @@ -# -*- coding: utf-8 -*- -""" -自适应三分位趋势策略 - 核心逻辑 -趋势过滤、动态阈值、信号确认、市场状态 -""" - -from typing import List, Dict, Optional, Tuple -import sys -import os -ROOT_DIR = os.path.dirname(os.path.dirname(os.path.abspath(__file__))) -if ROOT_DIR not in sys.path: - sys.path.insert(0, ROOT_DIR) - -from adaptive_third_strategy.config import ( - MIN_BODY_ATR_RATIO, - MIN_VOLATILITY_PERCENT, - EMA_SHORT, - EMA_LONG_FAST, - EMA_LONG_SLOW, - EMA_MID_FAST, - EMA_MID_SLOW, - ATR_PERIOD, - VOLATILITY_COEF_CLAMP, - BASE_COEF, - TREND_FAVOR_COEF, - TREND_AGAINST_COEF, - TREND_MODE, - CONFIRM_REQUIRED, - VOLUME_MA_PERIOD, - VOLUME_RATIO_THRESHOLD, - REVERSE_BREAK_MULT, - MIN_BARS_SINCE_ENTRY, - FORBIDDEN_PERIODS, - ATR_PAUSE_MULT, - STRONG_TREND_COEF, - RANGE_COEF, - HIGH_VOL_EXTRA_CONFIRM, -) -from adaptive_third_strategy.indicators import ( - get_ema_atr_from_klines, - align_higher_tf_ema, - ema, -) - - -def get_body_size(candle: Dict) -> float: - return abs(float(candle["open"]) - float(candle["close"])) - - -def is_bullish(candle: Dict) -> bool: - return float(candle["close"]) > float(candle["open"]) - - -def get_min_body_threshold(price: float, atr_value: Optional[float]) -> float: - """有效K线最小实体 = max(ATR*0.1, 价格*0.05%)""" - min_vol = price * MIN_VOLATILITY_PERCENT - if atr_value is not None and atr_value > 0: - min_vol = max(min_vol, atr_value * MIN_BODY_ATR_RATIO) - return min_vol - - -def find_valid_prev_bar( - all_data: List[Dict], - current_idx: int, - atr_series: List[Optional[float]], - min_body_override: Optional[float] = None, -) -> Tuple[Optional[int], Optional[Dict]]: - """从当前索引往前找实体>=阈值的K线。阈值 = max(ATR*0.1, 价格*0.05%)""" - if current_idx <= 0: - return None, None - for i in range(current_idx - 1, -1, -1): - prev = all_data[i] - body = get_body_size(prev) - price = float(prev["close"]) - atr_val = atr_series[i] if i < len(atr_series) else None - th = min_body_override if min_body_override is not None else get_min_body_threshold(price, atr_val) - if body >= th: - return i, prev - return None, None - - -def get_trend( - klines_5m: List[Dict], - idx_5m: int, - ema_5m: List[Optional[float]], - ema_15m_align: List[Dict], - ema_60m_align: List[Dict], -) -> str: - """ - 多时间框架趋势。返回 "long" / "short" / "neutral"。 - 长期：1h EMA50 vs EMA200；中期：15m EMA20 vs EMA50；短期：5m close vs EMA9。 - ema_*_align: 与 5m 对齐的列表，每项 {"ema_fast", "ema_slow"}。 - """ - if idx_5m >= len(klines_5m): - return "neutral" - curr = klines_5m[idx_5m] - close_5 = float(curr["close"]) - # 短期 - ema9 = ema_5m[idx_5m] if idx_5m < len(ema_5m) else None - short_bull = (ema9 is not None and close_5 > ema9) - # 中期 - mid = ema_15m_align[idx_5m] if idx_5m < len(ema_15m_align) else {} - mid_bull = (mid.get("ema_fast") is not None and mid.get("ema_slow") is not None - and mid["ema_fast"] > mid["ema_slow"]) - # 长期 - long_d = ema_60m_align[idx_5m] if idx_5m < len(ema_60m_align) else {} - long_bull = (long_d.get("ema_fast") is not None and long_d.get("ema_slow") is not None - and long_d["ema_fast"] > long_d["ema_slow"]) - - if TREND_MODE == "aggressive": - return "long" if short_bull else "short" - if TREND_MODE == "conservative": - if mid_bull and short_bull: - return "long" - if not mid_bull and not short_bull: - return "short" - return "neutral" - # strict - if long_bull and mid_bull and short_bull: - return "long" - if not long_bull and not mid_bull and not short_bull: - return "short" - return "neutral" - - -def get_dynamic_trigger_levels( - prev: Dict, - atr_value: float, - trend: str, - market_state: str = "normal", -) -> Tuple[Optional[float], Optional[float]]: - """ - 动态三分位触发价。 - 波动率系数 = clamp(实体/ATR, 0.3, 3.0)，调整系数 = 0.33 * 波动率系数。 - 顺势方向 ×0.8，逆势 ×1.2。 - """ - body = get_body_size(prev) - if body < 1e-6 or atr_value <= 0: - return None, None - vol_coef = body / atr_value - vol_coef = max(VOLATILITY_COEF_CLAMP[0], min(VOLATILITY_COEF_CLAMP[1], vol_coef)) - adj = BASE_COEF * vol_coef - if market_state == "strong_trend": - adj = STRONG_TREND_COEF - elif market_state == "range": - adj = RANGE_COEF - p_close = float(prev["close"]) - if trend == "long": - long_adj = adj * TREND_FAVOR_COEF - short_adj = adj * TREND_AGAINST_COEF - elif trend == "short": - long_adj = adj * TREND_AGAINST_COEF - short_adj = adj * TREND_FAVOR_COEF - else: - long_adj = short_adj = adj - long_trigger = p_close + body * long_adj - short_trigger = p_close - body * short_adj - return long_trigger, short_trigger - - -def check_signal_confirm( - curr: Dict, - direction: str, - trigger_price: float, - all_data: List[Dict], - current_idx: int, - volume_ma: Optional[float], - required: int = CONFIRM_REQUIRED, -) -> int: - """ - 确认条件计数：收盘价确认、成交量确认、动量确认。 - 返回满足的个数。 - """ - count = 0 - c_close = float(curr["close"]) - c_volume = float(curr.get("volume", 0)) - # 1. 收盘价确认 - if direction == "long" and c_close >= trigger_price: - count += 1 - elif direction == "short" and c_close <= trigger_price: - count += 1 - # 2. 成交量确认 - if volume_ma is not None and volume_ma > 0 and c_volume >= volume_ma * VOLUME_RATIO_THRESHOLD: - count += 1 - # 3. 动量确认：当前K线实体方向与信号一致 - if direction == "long" and is_bullish(curr): - count += 1 - elif direction == "short" and not is_bullish(curr): - count += 1 - return count - - -def in_forbidden_period(ts_sec: int) -> bool: - """是否在禁止交易时段（按 UTC+8 小时:分）""" - from datetime import datetime, timezone - try: - dt = datetime.fromtimestamp(ts_sec, tz=timezone.utc) - except Exception: - dt = datetime.utcfromtimestamp(ts_sec) - # 转 UTC+8 - hour = (dt.hour + 8) % 24 - minute = dt.minute - for h1, m1, h2, m2 in FORBIDDEN_PERIODS: - t1 = h1 * 60 + m1 - t2 = h2 * 60 + m2 - t = hour * 60 + minute - if t1 <= t < t2: - return True - return False - - -def get_market_state( - atr_value: float, - atr_avg: Optional[float], - trend: str, -) -> str: - """normal / strong_trend / range / high_vol""" - if atr_avg is not None and atr_avg > 0 and atr_value >= atr_avg * ATR_PAUSE_MULT: - return "high_vol" - if trend in ("long", "short") and atr_avg is not None and atr_value > atr_avg * 1.2: - return "strong_trend" - if trend == "neutral": - return "range" - return "normal" - - -def check_trigger( - all_data: List[Dict], - current_idx: int, - atr_series: List[Optional[float]], - ema_5m: List[Optional[float]], - ema_15m_align: List[Dict], - ema_60m_align: List[Dict], - volume_ma_list: Optional[List[Optional[float]]] = None, - use_confirm: bool = True, -) -> Tuple[Optional[str], Optional[float], Optional[int], Optional[Dict]]: - """ - 检查当前K线是否产生有效信号（含趋势过滤与确认）。 - 返回 (方向, 触发价, 有效前一根索引, 有效前一根K线) 或 (None, None, None, None)。 - """ - if current_idx <= 0 or current_idx >= len(all_data): - return None, None, None, None - curr = all_data[current_idx] - valid_prev_idx, prev = find_valid_prev_bar(all_data, current_idx, atr_series) - if prev is None: - return None, None, None, None - atr_val = atr_series[current_idx] if current_idx < len(atr_series) else None - if atr_val is None or atr_val <= 0: - return None, None, None, None - trend = get_trend( - all_data, current_idx, ema_5m, ema_15m_align, ema_60m_align, - ) - atr_avg = None - if atr_series: - valid_atr = [x for x in atr_series[: current_idx + 1] if x is not None and x > 0] - if len(valid_atr) >= ATR_PERIOD: - atr_avg = sum(valid_atr) / len(valid_atr) - market_state = get_market_state(atr_val, atr_avg, trend) - if market_state == "high_vol": - return None, None, None, None - long_trigger, short_trigger = get_dynamic_trigger_levels(prev, atr_val, trend, market_state) - if long_trigger is None: - return None, None, None, None - c_high = float(curr["high"]) - c_low = float(curr["low"]) - long_triggered = c_high >= long_trigger - short_triggered = c_low <= short_trigger - direction = None - trigger_price = None - if long_triggered and short_triggered: - c_open = float(curr["open"]) - if abs(c_open - short_trigger) <= abs(c_open - long_trigger): - direction, trigger_price = "short", short_trigger - else: - direction, trigger_price = "long", long_trigger - elif short_triggered: - direction, trigger_price = "short", short_trigger - elif long_triggered: - direction, trigger_price = "long", long_trigger - if direction is None: - return None, None, None, None - # 趋势过滤：逆势不交易（可选，这里做过滤） - if trend == "long" and direction == "short": - return None, None, None, None - if trend == "short" and direction == "long": - return None, None, None, None - # 禁止时段 - if in_forbidden_period(curr["id"]): - return None, None, None, None - # 信号确认 - if use_confirm and CONFIRM_REQUIRED > 0: - vol_ma = volume_ma_list[current_idx] if volume_ma_list and current_idx < len(volume_ma_list) else None - n = check_signal_confirm(curr, direction, trigger_price, all_data, current_idx, vol_ma, CONFIRM_REQUIRED) - if n < CONFIRM_REQUIRED: - return None, None, None, None - return direction, trigger_price, valid_prev_idx, prev - - -def build_volume_ma(klines: List[Dict], period: int = VOLUME_MA_PERIOD) -> List[Optional[float]]: - """前 period-1 为 None，之后为 volume 的 SMA""" - vol = [float(k.get("volume", 0)) for k in klines] - out: List[Optional[float]] = [None] * (period - 1) - for i in range(period - 1, len(vol)): - out.append(sum(vol[i - period + 1 : i + 1]) / period) - return out diff --git a/adaptive_third_strategy/trade.py b/adaptive_third_strategy/trade.py deleted file mode 100644 index 14668b8..0000000 --- a/adaptive_third_strategy/trade.py +++ /dev/null @@ -1,187 +0,0 @@ -# -*- coding: utf-8 -*- -""" -自适应三分位趋势策略 - 实盘交易 -拉取 Bitmart 5/15/60 分钟数据，计算信号，执行开平仓（沿用 交易/bitmart-三分之一策略交易 的浏览器/API 逻辑） -""" - -import os -import sys -import time -import datetime -from typing import List, Dict, Optional, Tuple -try: - from loguru import logger -except ImportError: - import logging - logger = logging.getLogger(__name__) - -ROOT_DIR = os.path.dirname(os.path.dirname(os.path.abspath(__file__))) -if ROOT_DIR not in sys.path: - sys.path.insert(0, ROOT_DIR) - -from bitmart.api_contract import APIContract -from adaptive_third_strategy.config import ( - STEP_5M, - STEP_15M, - STEP_60M, - ATR_PERIOD, - EMA_SHORT, - EMA_MID_FAST, - EMA_MID_SLOW, - EMA_LONG_FAST, - EMA_LONG_SLOW, - BASE_POSITION_PERCENT, - MAX_POSITION_PERCENT, - CONTRACT_SYMBOL, -) -from adaptive_third_strategy.indicators import get_ema_atr_from_klines, align_higher_tf_ema -from adaptive_third_strategy.strategy_core import check_trigger, build_volume_ma -from adaptive_third_strategy.data_fetcher import fetch_klines, _format_bar - -SCRIPT_DIR = os.path.dirname(os.path.abspath(__file__)) - - -class AdaptiveThirdStrategyTrader: - """实盘：获取多周期K线 -> 策略信号 -> 开平仓（可接浏览器或纯 API）""" - - def __init__( - self, - api_key: str, - secret_key: str, - memo: str = "合约交易", - symbol: str = CONTRACT_SYMBOL, - bit_id: Optional[str] = None, - ): - self.api_key = api_key - self.secret_key = secret_key - self.memo = memo - self.symbol = symbol - self.bit_id = bit_id - self.contractAPI = APIContract(api_key, secret_key, memo, timeout=(5, 15)) - self.check_interval = 3 - self.last_trigger_kline_id: Optional[int] = None - self.last_trigger_direction: Optional[str] = None - self.last_trade_kline_id: Optional[int] = None - self.position_direction: int = 0 # 1 多 -1 空 0 无 - - def get_klines_multi(self) -> Tuple[List[Dict], List[Dict], List[Dict]]: - """拉取当前 5/15/60 分钟 K 线（最近约 3 小时足够算 EMA/ATR）""" - end_ts = int(time.time()) - start_ts = end_ts - 3600 * 3 - k5 = fetch_klines(self.contractAPI, STEP_5M, start_ts, end_ts, self.symbol) - k15 = fetch_klines(self.contractAPI, STEP_15M, start_ts, end_ts, self.symbol) - k60 = fetch_klines(self.contractAPI, STEP_60M, start_ts, end_ts, self.symbol) - return k5, k15, k60 - - def get_position_status(self) -> bool: - """查询当前持仓，更新 self.position_direction""" - try: - response = self.contractAPI.get_position(contract_symbol=self.symbol)[0] - if response.get("code") != 1000: - return False - positions = response.get("data", []) - if not positions: - self.position_direction = 0 - return True - self.position_direction = 1 if positions[0].get("position_type") == 1 else -1 - return True - except Exception as e: - logger.error(f"持仓查询异常: {e}") - return False - - def check_realtime_signal( - self, - klines_5m: List[Dict], - klines_15m: List[Dict], - klines_60m: List[Dict], - ) -> Tuple[Optional[str], Optional[float], Optional[Dict]]: - """ - 基于当前 K 线（最后一根未收盘）检测实时信号。 - 返回 (方向, 触发价, 当前K线) 或 (None, None, None)。 - """ - if len(klines_5m) < ATR_PERIOD + 2: - return None, None, None - from adaptive_third_strategy.indicators import get_ema_atr_from_klines - from adaptive_third_strategy.strategy_core import check_trigger - ema_5m, atr_5m = get_ema_atr_from_klines(klines_5m, EMA_SHORT, ATR_PERIOD) - ema_15m_align = align_higher_tf_ema(klines_5m, klines_15m, EMA_MID_FAST, EMA_MID_SLOW) - ema_60m_align = align_higher_tf_ema(klines_5m, klines_60m, EMA_LONG_FAST, EMA_LONG_SLOW) - volume_ma = build_volume_ma(klines_5m) - curr_idx = len(klines_5m) - 1 - direction, trigger_price, _, _ = check_trigger( - klines_5m, curr_idx, atr_5m, ema_5m, ema_15m_align, ema_60m_align, volume_ma, use_confirm=True - ) - curr = klines_5m[curr_idx] - curr_id = curr["id"] - if direction is None: - return None, None, None - if self.last_trigger_kline_id == curr_id and self.last_trigger_direction == direction: - return None, None, None - if self.last_trade_kline_id == curr_id: - return None, None, None - if (direction == "long" and self.position_direction == 1) or (direction == "short" and self.position_direction == -1): - return None, None, None - return direction, trigger_price, curr - - def run_loop(self, ding_callback=None): - """ - 主循环：拉数据 -> 检测信号 -> 若需交易则调用开平仓（需外部实现或注入）。 - ding_callback(msg, error=False) 可选，用于钉钉通知。 - """ - def ding(msg: str, error: bool = False): - if ding_callback: - ding_callback(msg, error) - else: - if error: - logger.error(msg) - else: - logger.info(msg) - - logger.info("自适应三分位趋势策略实盘启动，按 Bitmart 方式拉取 5/15/60 分钟数据") - while True: - try: - k5, k15, k60 = self.get_klines_multi() - if len(k5) < ATR_PERIOD + 2: - time.sleep(self.check_interval) - continue - if not self.get_position_status(): - time.sleep(self.check_interval) - continue - direction, trigger_price, curr = self.check_realtime_signal(k5, k15, k60) - if direction and trigger_price is not None and curr is not None: - curr_id = curr["id"] - ding(f"信号: {direction} @ {trigger_price:.2f} 当前K线 id={curr_id}") - # 这里接入你的开平仓实现：平仓 + 开单（可调用 交易/bitmart-三分之一策略交易 的 平仓/开单 或 API 下单） - # 示例：仅记录，不实际下单 - self.last_trigger_kline_id = curr_id - self.last_trigger_direction = direction - self.last_trade_kline_id = curr_id - time.sleep(self.check_interval) - except Exception as e: - logger.exception(e) - time.sleep(60) - - -def main(): - import argparse - parser = argparse.ArgumentParser(description="自适应三分位趋势策略实盘") - parser.add_argument("--api-key", default="", help="Bitmart API Key") - parser.add_argument("--secret-key", default="", help="Bitmart Secret Key") - parser.add_argument("--bit-id", default="", help="比特浏览器 ID（若用浏览器下单）") - args = parser.parse_args() - api_key = args.api_key or os.environ.get("BITMART_API_KEY", "a0fb7b98464fd9bcce67e7c519d58ec10d0c38a8") - secret_key = args.secret_key or os.environ.get("BITMART_SECRET_KEY", "4eaeba78e77aeaab1c2027f846a276d164f264a44c2c1bb1c5f3be50c8de1ca5") - trader = AdaptiveThirdStrategyTrader(api_key, secret_key, bit_id=args.bit_id or None) - try: - from 交易.tools import send_dingtalk_message - def ding(msg, error=False): - prefix = "❌自适应三分位：" if error else "🔔自适应三分位：" - send_dingtalk_message(f"{prefix}{msg}") - except Exception: - def ding(msg, error=False): - logger.info(msg) - trader.run_loop(ding_callback=ding) - - -if __name__ == "__main__": - main() diff --git a/bieget/main.py b/bieget/main.py deleted file mode 100644 index d8a692c..0000000 --- a/bieget/main.py +++ /dev/null @@ -1,139 +0,0 @@ -import requests -import datetime - -cookies = { - 'bitget_lang': 'zh-CN', - '_dx_kvani5r': '24e0dceb12f85d9a1279183ca29c09f772f8c61124e4eca228d8dd909c9b24b0019c2b9a', - 'OptanonAlertBoxClosed': 'Wed%20Sep%2024%202025%2017:12:32%20GMT+0800%20(%E4%B8%AD%E5%9B%BD%E6%A0%87%E5%87%86%E6%97%B6%E9%97%B4)', - 'OptanonConsent': 'isMarketing=1&isStatistic=1', - '_cfuvid': 'IHXjOVVjx5iewfwL1nrgeHsZ6whu9s4iYYYvNvJvOQM-1758867462928-0.0.1.1-604800000', - 'dy_token': '68d630093VQFDNL1nUkv46lfDdhjHGYpoz9dddX1', - 'g_state': '{"i_l":0}', - 'theme': 'white', - 'BITGET_LOCAL_COOKIE': '{%22bitget_lang%22:%22zh-CN%22%2C%22bitget_unit%22:%22CNY%22%2C%22bitget_showasset%22:true%2C%22bitget_theme%22:%22white%22%2C%22bitget_layout%22:%22right%22%2C%22bitget_valuationunit%22:0%2C%22bitget_valuationunit_new%22:1%2C%22bitget_valuationunitandfiat%22:1%2C%22bitgt_login%22:false%2C%22theme%22:%22black%22%2C%22brand_simulation_trade%22:false%2C%22bitget_currency%22:%22%22}', - 'bt_rtoken': 'upex:session:id:1d00ce6487e37f4d7230a5aafe3ffc82e799156a86e9778bacb2310c7cf39b98', - 'bt_uid': '619BB9EC4D4A3F9FC1AC092D38818A00', - 'bt_sessonid': '0bf4ef42-798c-4f8d-8fe5-c07364d3b6b5', - 'bt_newsessionid': 'eyJhbGciOiJIUzI1NiJ9.eyJqdGkiOiI4ZjJmNDBjYS0zNTkyLTRiNmItOTdiMy01OWQ5MTU5Y2E2YmQ0NzQ5ODIwMTAiLCJ1aWQiOiIxV00rVjRqcTJYSVRQemdJVWhUMnNRPT0iLCJzdWIiOiJsenoqKipvbSIsImlwIjoiM3dNK05yTkxjQXVQTG95dWZkWkI1QT09IiwiZGlkIjoiSjBZZjQ1NkV5RUxaSGhaa2tWYnNQZTVlSFVYYUNKZS9CM21wTHJ5SHJWMTEyUklzWlFLTTVIQmtTNHlUUmhuVyIsInN0cyI6MCwiaWF0IjoxNzU4ODY3NTgxLCJleHAiOjE3NTkyOTk1ODEsInB1c2hpZCI6ImRka1NMR1VDak9Sd1pFdU1rMFlaMWc9PSIsImlzcyI6InVwZXgifQ.Buwhs7UF7dOnOAso8l-RIyc_A47UdWSeVMiwIonOdiY', - 'USD': 'CNY', - '__cf_bm': '3AMy5P3a.qp5uEqe9d_DonCDcL621CKULNKaUpfn2rE-1758868368-1.0.1.1-JzjFQidqwDxVV3gJH8ls0NeCGe.nsK.SFYP0hPXUcupuLTBpscmBYQRMfAjeOlnaZRBsQROFL2fETfXatDwQwDHU7aHOT4IMwECKB3sTIN4', -} - -headers = { - 'accept': 'application/json, text/plain, */*', - 'accept-language': 'zh,zh-CN;q=0.9,zh-HK;q=0.8,en;q=0.7', - 'baggage': 'sentry-environment=online,sentry-release=905e3a416e2b0ad3c98a82ab9b94dd87f1a5c1fd,sentry-public_key=8aeef93d782e4ef5ae75634bfee9b590,sentry-trace_id=e7afec8af26a4480893c8b58257af49b', - 'cache-control': 'no-cache', - 'custom-token': '765eb29bf89843258756f8851ed5a48f', - 'deviceid': '7c88d47fdc39e5c422eff197b10d3485', - 'dy-token': '68d630093VQFDNL1nUkv46lfDdhjHGYpoz9dddX1', - 'language': 'zh_CN', - 'locale': 'zh_CN', - 'pragma': 'no-cache', - 'priority': 'u=1, i', - 'referer': 'https://www.bitget.com/zh-CN/futures/usdt/ETHUSDT', - 'sec-ch-ua': '"Chromium";v="140", "Not=A?Brand";v="24", "Google Chrome";v="140"', - 'sec-ch-ua-mobile': '?0', - 'sec-ch-ua-platform': '"Windows"', - 'sec-fetch-dest': 'empty', - 'sec-fetch-mode': 'cors', - 'sec-fetch-site': 'same-origin', - 'sentry-trace': 'e7afec8af26a4480893c8b58257af49b-8aacec1747b38bd7-0', - 'terminalcode': 'cc98a9dd01af7e2d50d9b9858723b25e', - 'terminaltype': '1', - 'tm': '1758868503025', - 'uhti': 'w17588685039139806ab12716', - 'user-agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/140.0.0.0 Safari/537.36', - 'website': 'mix', - # 'cookie': 'bitget_lang=zh-CN; _dx_kvani5r=24e0dceb12f85d9a1279183ca29c09f772f8c61124e4eca228d8dd909c9b24b0019c2b9a; OptanonAlertBoxClosed=Wed%20Sep%2024%202025%2017:12:32%20GMT+0800%20(%E4%B8%AD%E5%9B%BD%E6%A0%87%E5%87%86%E6%97%B6%E9%97%B4); OptanonConsent=isMarketing=1&isStatistic=1; _cfuvid=IHXjOVVjx5iewfwL1nrgeHsZ6whu9s4iYYYvNvJvOQM-1758867462928-0.0.1.1-604800000; dy_token=68d630093VQFDNL1nUkv46lfDdhjHGYpoz9dddX1; g_state={"i_l":0}; theme=white; BITGET_LOCAL_COOKIE={%22bitget_lang%22:%22zh-CN%22%2C%22bitget_unit%22:%22CNY%22%2C%22bitget_showasset%22:true%2C%22bitget_theme%22:%22white%22%2C%22bitget_layout%22:%22right%22%2C%22bitget_valuationunit%22:0%2C%22bitget_valuationunit_new%22:1%2C%22bitget_valuationunitandfiat%22:1%2C%22bitgt_login%22:false%2C%22theme%22:%22black%22%2C%22brand_simulation_trade%22:false%2C%22bitget_currency%22:%22%22}; bt_rtoken=upex:session:id:1d00ce6487e37f4d7230a5aafe3ffc82e799156a86e9778bacb2310c7cf39b98; bt_uid=619BB9EC4D4A3F9FC1AC092D38818A00; bt_sessonid=0bf4ef42-798c-4f8d-8fe5-c07364d3b6b5; bt_newsessionid=eyJhbGciOiJIUzI1NiJ9.eyJqdGkiOiI4ZjJmNDBjYS0zNTkyLTRiNmItOTdiMy01OWQ5MTU5Y2E2YmQ0NzQ5ODIwMTAiLCJ1aWQiOiIxV00rVjRqcTJYSVRQemdJVWhUMnNRPT0iLCJzdWIiOiJsenoqKipvbSIsImlwIjoiM3dNK05yTkxjQXVQTG95dWZkWkI1QT09IiwiZGlkIjoiSjBZZjQ1NkV5RUxaSGhaa2tWYnNQZTVlSFVYYUNKZS9CM21wTHJ5SHJWMTEyUklzWlFLTTVIQmtTNHlUUmhuVyIsInN0cyI6MCwiaWF0IjoxNzU4ODY3NTgxLCJleHAiOjE3NTkyOTk1ODEsInB1c2hpZCI6ImRka1NMR1VDak9Sd1pFdU1rMFlaMWc9PSIsImlzcyI6InVwZXgifQ.Buwhs7UF7dOnOAso8l-RIyc_A47UdWSeVMiwIonOdiY; USD=CNY; __cf_bm=3AMy5P3a.qp5uEqe9d_DonCDcL621CKULNKaUpfn2rE-1758868368-1.0.1.1-JzjFQidqwDxVV3gJH8ls0NeCGe.nsK.SFYP0hPXUcupuLTBpscmBYQRMfAjeOlnaZRBsQROFL2fETfXatDwQwDHU7aHOT4IMwECKB3sTIN4', -} -if __name__ == '__main__': - - params = { - 'symbolId': 'ETHUSDT_UMCBL', - 'kLineStep': '1m', - 'kLineType': '1', - 'endTime': '1758864600000', - } - - response = requests.get( - 'https://www.bitget.com/v1/kline/getMoreKlineDataV2', - params=params, cookies=cookies, headers=headers - ) - - raw_data = response.json()["data"] - - print(raw_data) - - # 转换成字典格式，方便后续处理 - data = [] - for i in raw_data: - data.append({ - 'id': int(i[0]) // 1000, # 秒级时间戳 - 'open': float(i[1]), - 'high': float(i[2]), - 'low': float(i[3]), - 'close': float(i[4]), - }) - - print(i) - - print(data) - - # 按时间排序 - sorted_data = sorted(data, key=lambda x: x['id']) - - print(sorted_data) - - signals = 0 - wins = 0 - lig_price = 0 - low_price = 0 - - for idx in range(1, len(sorted_data) - 2): # 至少留两根 K 线验证 - prev = sorted_data[idx - 1] - curr = sorted_data[idx] - future = sorted_data[idx + 2] - - prev_open, prev_close = prev['open'], prev['close'] - curr_open, curr_close = curr['open'], curr['close'] - future_close = future['close'] - - # 当前为涨 - if curr_close > curr_open: - # 前一笔涨 + 包裹 - if prev_close > prev_open and curr_open < prev_open and curr_close > prev_close: - signals += 1 - lig_price += (future_close - curr_close) - if future_close > curr_close: - wins += 1 - # 前一笔跌 + 反包 - elif prev_close < prev_open and curr_open < prev_close and curr_close > prev_open: - signals += 1 - lig_price += (future_close - curr_close) - if future_close > curr_close: - wins += 1 - - # 当前为跌 - elif curr_close < curr_open: - # 前一笔跌 + 包裹 - if prev_close < prev_open and curr_open > prev_open and curr_close < prev_close: - signals += 1 - low_price += (curr_close - future_close) - if future_close < curr_close: - wins += 1 - # 前一笔涨 + 反包 - elif prev_close > prev_open and curr_open > prev_close and curr_close < prev_open: - signals += 1 - low_price += (curr_close - future_close) - if future_close < curr_close: - wins += 1 - - if signals > 0: - win_rate = wins / signals * 100 - print(f"信号数={signals}, 胜率={win_rate:.2f}%") - else: - print("没有找到符合条件的形态") - - print("上涨盈亏合计:", lig_price) - print("下跌盈亏合计:", low_price) diff --git a/bieget/test.py b/bieget/test.py deleted file mode 100644 index e7c958a..0000000 --- a/bieget/test.py +++ /dev/null @@ -1,81 +0,0 @@ -import requests - -cookies = { - 'bitget_lang': 'zh-CN', - '_dx_kvani5r': '24e0dceb12f85d9a1279183ca29c09f772f8c61124e4eca228d8dd909c9b24b0019c2b9a', - 'OptanonAlertBoxClosed': 'Wed%20Sep%2024%202025%2017:12:32%20GMT+0800%20(%E4%B8%AD%E5%9B%BD%E6%A0%87%E5%87%86%E6%97%B6%E9%97%B4)', - 'OptanonConsent': 'isMarketing=1&isStatistic=1', - 'g_state': '{"i_l":0}', - 'theme': 'white', - 'BITGET_LOCAL_COOKIE': '{%22bitget_lang%22:%22zh-CN%22%2C%22bitget_unit%22:%22CNY%22%2C%22bitget_showasset%22:true%2C%22bitget_theme%22:%22white%22%2C%22bitget_layout%22:%22right%22%2C%22bitget_valuationunit%22:0%2C%22bitget_valuationunit_new%22:1%2C%22bitget_valuationunitandfiat%22:1%2C%22bitgt_login%22:false%2C%22theme%22:%22black%22%2C%22brand_simulation_trade%22:false%2C%22bitget_currency%22:%22%22}', - 'USD': 'CNY', - '_gcl_au': '1.1.737358653.1759055313', - '_ga': 'GA1.1.942322417.1759055313', - 'afUserId': '58c62981-8c6f-4601-adee-77489e65d72b-p', - 'AF_SYNC': '1759974778836', - 'bt_rtoken': 'upex:session:id:d250cc2b001c88f9e9c60a3686fd7dcf5773a666402d41b35c7a6fa3f853392d', - 'bt_uid': '619BB9EC4D4A3F9FC1AC092D38818A00', - 'bt_sessonid': '6ad2dd3f-35f3-4ef8-accb-3292ceb8b5d7', - 'bt_newsessionid': 'eyJhbGciOiJIUzI1NiJ9.eyJqdGkiOiI1NTk2ZjA1MC0zOGFhLTQxMjktOTcyZS0wMWUyZDI1MWI0N2M1NzQxNTgyOTIiLCJ1aWQiOiIxV00rVjRqcTJYSVRQemdJVWhUMnNRPT0iLCJzdWIiOiJsenoqKipvbSIsImlwIjoiWGRhSGJmdHZQVGVpeFlnMmxlVmdUZz09IiwiZGlkIjoiSjBZZjQ1NkV5RUxaSGhaa2tWYnNQZTVlSFVYYUNKZS9CM21wTHJ5SHJWMTEyUklzWlFLTTVIQmtTNHlUUmhuVyIsInN0cyI6MCwiaWF0IjoxNzU5OTc0NzkwLCJleHAiOjE3NjA0MDY3OTAsInB1c2hpZCI6ImRka1NMR1VDak9Sd1pFdU1rMFlaMWc9PSIsImlzcyI6InVwZXgifQ.0SygmCSR3f5tfA0xQpdzS241nFDbsVultPm0LmleYgY', - '_ga_Z8Q93KHR0F': 'GS2.1.s1759974680$o4$g1$t1759974795$j19$l0$h0', - 'dy_token': '68e74d44zBITZniRPCwXG8rs7bnFrrlGIHyxtKx1', - '_cfuvid': '7C9e7Tl9zudw90jhhHGEM4H7SJnpWoi39xepaHJpJuM-1759995357475-0.0.1.1-604800000', - '__cf_bm': 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BITGET_LOCAL_COOKIE={%22bitget_lang%22:%22zh-CN%22%2C%22bitget_unit%22:%22CNY%22%2C%22bitget_showasset%22:true%2C%22bitget_theme%22:%22white%22%2C%22bitget_layout%22:%22right%22%2C%22bitget_valuationunit%22:0%2C%22bitget_valuationunit_new%22:1%2C%22bitget_valuationunitandfiat%22:1%2C%22bitgt_login%22:false%2C%22theme%22:%22black%22%2C%22brand_simulation_trade%22:false%2C%22bitget_currency%22:%22%22}; USD=CNY; _gcl_au=1.1.737358653.1759055313; _ga=GA1.1.942322417.1759055313; afUserId=58c62981-8c6f-4601-adee-77489e65d72b-p; AF_SYNC=1759974778836; bt_rtoken=upex:session:id:d250cc2b001c88f9e9c60a3686fd7dcf5773a666402d41b35c7a6fa3f853392d; bt_uid=619BB9EC4D4A3F9FC1AC092D38818A00; bt_sessonid=6ad2dd3f-35f3-4ef8-accb-3292ceb8b5d7; 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-response = requests.post( - 'https://www.bitget.com/v1/trigger/strategy/tradingview/queryHistorySignals', - cookies=cookies, - headers=headers, - json=json_data, -) - -print(response.json()) - -# Note: json_data will not be serialized by requests -# exactly as it was in the original request. -# data = '{"startTime":1759912500000,"endTime":1760002409196,"symbolCode":"ETHUSDT","languageType":1}' -# response = requests.post( -# 'https://www.bitget.com/v1/trigger/strategy/tradingview/queryHistorySignals', -# cookies=cookies, -# headers=headers, -# data=data, -# ) diff --git a/bitmart_strategy.log b/bitmart_strategy.log deleted file mode 100644 index 35cc443..0000000 --- a/bitmart_strategy.log +++ /dev/null @@ -1,21 +0,0 @@ -2025-12-20 02:51:09.247 | WARNING | __main__:__init__:28 - 请确认Memo是否正确！默认Memo可能导致签名失败 -2025-12-20 02:51:09.252 | INFO | __main__:init_api_client:57 - 尝试初始化API客户端 (尝试 1/3) -2025-12-20 02:51:09.253 | ERROR | __main__:test_api_connection:112 - API连接测试失败: APIContract.get_depth() got an unexpected keyword argument 'limit' -2025-12-20 02:51:09.254 | SUCCESS | __main__:init_api_client:87 - API客户端初始化成功 -2025-12-20 02:51:09.254 | INFO | __main__:action:220 - 启动BitMart合约策略... -2025-12-20 02:51:09.254 | INFO | __main__:set_leverage_with_retry:121 - 尝试设置杠杆 (尝试 1/3) -2025-12-20 02:51:09.814 | ERROR | __main__:set_leverage_with_retry:149 - API异常: APIException(http status=401): response={"code":30005,"msg":"Header X-BM-SIGN is wrong","trace":"d9c107e3-7564-474e-9eaf-59667f869ae5"} - -2025-12-20 02:51:09.814 | INFO | __main__:set_leverage_with_retry:161 - 等待1秒后重试... -2025-12-20 02:51:10.815 | INFO | __main__:set_leverage_with_retry:121 - 尝试设置杠杆 (尝试 2/3) -2025-12-20 02:51:10.923 | ERROR | __main__:set_leverage_with_retry:149 - API异常: APIException(http status=401): response={"trace":"a7fa76a2-2e34-435b-acbe-90e37b47fe48","code":30005,"msg":"Header X-BM-SIGN is wrong"} - -2025-12-20 02:51:10.923 | INFO | __main__:set_leverage_with_retry:161 - 等待2秒后重试... -2025-12-20 02:51:12.923 | INFO | __main__:set_leverage_with_retry:121 - 尝试设置杠杆 (尝试 3/3) -2025-12-20 02:51:13.029 | ERROR | __main__:set_leverage_with_retry:149 - API异常: APIException(http status=401): response={"code":30005,"msg":"Header X-BM-SIGN is wrong","trace":"97b6c791-5812-4285-a659-dbba3f6170e6"} - -2025-12-20 02:51:13.029 | WARNING | __main__:set_leverage_with_retry:168 - 杠杆设置失败，但程序将继续运行 -2025-12-20 02:51:13.030 | WARNING | __main__:action:226 - 杠杆设置失败，使用系统默认杠杆继续运行 -2025-12-20 02:51:13.150 | SUCCESS | __main__:action:254 - 获取到新K线: 2025-12-20 02:30:00 -2025-12-20 02:51:13.150 | INFO | __main__:action:259 - 当前价格: 2959.49 -2025-12-20 02:51:13.311 | INFO | __main__:action:268 - 用户中断程序 diff --git a/bitmart_trading.log b/bitmart_trading.log deleted file mode 100644 index 4af609d..0000000 --- a/bitmart_trading.log +++ /dev/null @@ -1,46 +0,0 @@ -2025-12-20 03:08:42.274 | INFO | __main__:initialize_api:66 - 尝试API配置 1/3 -2025-12-20 03:08:42.275 | INFO | __main__:initialize_api:67 - Memo: '' -2025-12-20 03:08:42.275 | ERROR | __main__:test_api_connection:108 - API连接测试失败: 'APIContract' object has no attribute 'get_contracts' -2025-12-20 03:08:42.276 | WARNING | __main__:initialize_api:84 - API配置 1 连接失败，尝试下一个配置 -2025-12-20 03:08:42.276 | INFO | __main__:initialize_api:66 - 尝试API配置 2/3 -2025-12-20 03:08:42.276 | INFO | __main__:initialize_api:67 - Memo: '合约交易' -2025-12-20 03:08:42.276 | ERROR | __main__:test_api_connection:108 - API连接测试失败: 'APIContract' object has no attribute 'get_contracts' -2025-12-20 03:08:42.276 | WARNING | __main__:initialize_api:84 - API配置 2 连接失败，尝试下一个配置 -2025-12-20 03:08:42.276 | INFO | __main__:initialize_api:66 - 尝试API配置 3/3 -2025-12-20 03:08:42.277 | INFO | __main__:initialize_api:67 - Memo: 'None' -2025-12-20 03:08:42.277 | ERROR | __main__:test_api_connection:108 - API连接测试失败: 'APIContract' object has no attribute 'get_contracts' -2025-12-20 03:08:42.277 | WARNING | __main__:initialize_api:84 - API配置 3 连接失败，尝试下一个配置 -2025-12-20 03:08:42.277 | ERROR | __main__:initialize_api:89 - 所有API配置都失败 -2025-12-20 03:08:42.281 | ERROR | __main__:action:408 - API初始化失败，程序无法运行 -2025-12-20 03:08:48.311 | INFO | __main__:initialize_api:66 - 尝试API配置 1/3 -2025-12-20 03:08:48.312 | INFO | __main__:initialize_api:67 - Memo: '' -2025-12-20 03:08:48.313 | ERROR | __main__:test_api_connection:108 - API连接测试失败: 'APIContract' object has no attribute 'get_contracts' -2025-12-20 03:08:48.313 | WARNING | __main__:initialize_api:84 - API配置 1 连接失败，尝试下一个配置 -2025-12-20 03:08:48.313 | INFO | __main__:initialize_api:66 - 尝试API配置 2/3 -2025-12-20 03:08:48.313 | INFO | __main__:initialize_api:67 - Memo: '合约交易' -2025-12-20 03:08:48.313 | ERROR | __main__:test_api_connection:108 - API连接测试失败: 'APIContract' object has no attribute 'get_contracts' -2025-12-20 03:08:48.313 | WARNING | __main__:initialize_api:84 - API配置 2 连接失败，尝试下一个配置 -2025-12-20 03:08:48.313 | INFO | __main__:initialize_api:66 - 尝试API配置 3/3 -2025-12-20 03:08:48.313 | INFO | __main__:initialize_api:67 - Memo: 'None' -2025-12-20 03:08:48.313 | ERROR | __main__:test_api_connection:108 - API连接测试失败: 'APIContract' object has no attribute 'get_contracts' -2025-12-20 03:08:48.313 | WARNING | __main__:initialize_api:84 - API配置 3 连接失败，尝试下一个配置 -2025-12-20 03:08:48.314 | ERROR | __main__:initialize_api:89 - 所有API配置都失败 -2025-12-20 03:08:48.317 | ERROR | __main__:action:408 - API初始化失败，程序无法运行 -2025-12-20 03:09:25.953 | INFO | __main__:initialize_api:66 - 尝试API配置 1/3 -2025-12-20 03:09:25.954 | INFO | __main__:initialize_api:67 - Memo: '' -2025-12-20 03:09:25.954 | ERROR | __main__:test_api_connection:108 - API连接测试失败: 'APIContract' object has no attribute 'get_contracts' -2025-12-20 03:09:25.954 | WARNING | __main__:initialize_api:84 - API配置 1 连接失败，尝试下一个配置 -2025-12-20 03:09:25.954 | INFO | __main__:initialize_api:66 - 尝试API配置 2/3 -2025-12-20 03:09:25.954 | INFO | __main__:initialize_api:67 - Memo: '合约交易' -2025-12-20 03:09:25.954 | ERROR | __main__:test_api_connection:108 - API连接测试失败: 'APIContract' object has no attribute 'get_contracts' -2025-12-20 03:09:25.954 | WARNING | __main__:initialize_api:84 - API配置 2 连接失败，尝试下一个配置 -2025-12-20 03:09:25.954 | INFO | __main__:initialize_api:66 - 尝试API配置 3/3 -2025-12-20 03:09:25.954 | INFO | __main__:initialize_api:67 - Memo: 'None' -2025-12-20 03:09:25.955 | ERROR | __main__:test_api_connection:108 - API连接测试失败: 'APIContract' object has no attribute 'get_contracts' -2025-12-20 03:09:25.955 | WARNING | __main__:initialize_api:84 - API配置 3 连接失败，尝试下一个配置 -2025-12-20 03:09:25.955 | ERROR | __main__:initialize_api:89 - 所有API配置都失败 -2025-12-20 03:09:25.958 | ERROR | __main__:action:408 - API初始化失败，程序无法运行 -2025-12-20 03:12:23.884 | INFO | __main__:action:396 - 启动BitMart合约交易策略... -2025-12-20 03:12:23.885 | INFO | __main__:test_api_connection:48 - 测试API连接... -2025-12-20 03:12:24.359 | ERROR | __main__:test_api_connection:90 - API连接测试异常: 'tuple' object has no attribute 'get' -2025-12-20 03:12:24.359 | ERROR | __main__:action:400 - API连接测试失败 diff --git a/evm_助记词查询余额.py b/evm_助记词查询余额.py deleted file mode 100644 index 7e8f301..0000000 --- a/evm_助记词查询余额.py +++ /dev/null @@ -1,415 +0,0 @@ -""" -EVM助记词碰撞工具 - 高速版本 -批量生成助记词并检查余额，发现有钱包自动保存 - -依赖安装: - pip install mnemonic eth-account web3 loguru - -使用方法: - python evm_助记词查询余额.py -""" - -import os -import json -import threading -from datetime import datetime -from mnemonic import Mnemonic -from eth_account import Account -from web3 import Web3 -from loguru import logger -import time - -# 尝试导入POA中间件 -try: - from web3.middleware import geth_poa_middleware -except ImportError: - try: - from web3.middleware.geth_poa import geth_poa_middleware - except ImportError: - geth_poa_middleware = None - -# 配置日志 -logger.remove() -logger.add(lambda msg: print(msg, end=''), format="{time:HH:mm:ss} | {level: <8} | {message}", level="INFO") - -# 全局统计 -stats = { - 'total_checked': 0, - 'found_balance': 0, - 'start_time': time.time(), - 'lock': threading.Lock() -} - -# 结果保存文件 -RESULTS_FILE = "found_wallets.txt" -SAVE_LOCK = threading.Lock() - - -class FastEVMWallet: - """高速EVM钱包碰撞工具""" - - # 优化的RPC端点（使用多个备用节点提高速度） - RPC_ENDPOINTS = { - "ethereum": [ - "https://eth.llamarpc.com", - "https://rpc.ankr.com/eth", - "https://ethereum.publicnode.com", - ], - "bsc": [ - "https://bsc-dataseed1.binance.org", - "https://bsc-dataseed2.binance.org", - "https://rpc.ankr.com/bsc", - ], - # "polygon": [ - # "https://polygon-rpc.com", - # "https://rpc.ankr.com/polygon", - # ], - # "arbitrum": [ - # "https://arb1.arbitrum.io/rpc", - # "https://rpc.ankr.com/arbitrum", - # ], - # "optimism": [ - # "https://mainnet.optimism.io", - # "https://rpc.ankr.com/optimism", - # ], - "base": [ - "https://mainnet.base.org", - "https://rpc.ankr.com/base", - ], - } - - def __init__(self, chains=None): - """ - 初始化 - - Args: - chains: 要查询的链列表，None表示查询所有链 - """ - self.mnemo = Mnemonic("english") - Account.enable_unaudited_hdwallet_features() - - # 选择要查询的链（默认只查询主要链以提高速度） - if chains is None: - self.chains = ["ethereum", "bsc", "polygon", "arbitrum", "base"] - else: - self.chains = chains - - # 为每个链创建Web3连接池 - self.w3_pools = {} - self._init_connections() - - def _init_connections(self): - """初始化RPC连接""" - logger.info("正在初始化RPC连接...") - for chain in self.chains: - if chain in self.RPC_ENDPOINTS: - # 尝试所有RPC节点，直到找到一个可用的 - w3 = None - for rpc_url in self.RPC_ENDPOINTS[chain]: - try: - # 设置更短的超时时间，避免阻塞 - w3 = Web3(Web3.HTTPProvider(rpc_url, request_kwargs={'timeout': 3})) - - # 某些链需要POA中间件 - if chain in ["bsc", "polygon"] and geth_poa_middleware is not None: - try: - w3.middleware_onion.inject(geth_poa_middleware, layer=0) - except: - pass - - # 测试连接（快速测试） - try: - if w3.is_connected(): - self.w3_pools[chain] = w3 - logger.info(f"✓ {chain} 连接成功: {rpc_url}") - break - except: - continue - except Exception as e: - continue - - if chain not in self.w3_pools: - logger.warning(f"✗ {chain} 连接失败，将跳过该链") - - def generate_mnemonic(self, strength=128): - """快速生成助记词""" - return self.mnemo.generate(strength=strength) - - def mnemonic_to_address(self, mnemonic, account_index=0): - """ - 从助记词快速生成地址（不生成私钥，节省时间） - - Returns: - str: 钱包地址，失败返回None - """ - try: - account = Account.from_mnemonic(mnemonic, account_path=f"m/44'/60'/0'/0/{account_index}") - return account.address - except: - return None - - def quick_check_balance(self, address): - """ - 快速检查地址是否有余额（只检查主要链，一旦发现余额就返回） - - Returns: - dict: 如果有余额返回余额信息，否则返回None - """ - # 只检查最快的链（ethereum和bsc），提高速度 - priority_chains = ["ethereum", "bsc"] - - for chain in priority_chains: - if chain not in self.chains: - continue - try: - w3 = self.w3_pools.get(chain) - if not w3: - continue - - # 查询余额（设置超时，避免阻塞） - try: - balance_wei = w3.eth.get_balance(address) - - if balance_wei > 0: - balance_eth = Web3.from_wei(balance_wei, 'ether') - return { - 'chain': chain, - 'address': address, - 'balance_wei': balance_wei, - 'balance_eth': float(balance_eth), - 'balance_formatted': f"{balance_eth:.6f} ETH" - } - except Exception as e: - # 查询失败，尝试下一个链 - continue - except: - continue - - return None - - def check_all_chains(self, address): - """ - 检查所有链的余额（发现余额后调用） - - Returns: - list: 所有有余额的链信息 - """ - results = [] - for chain in self.chains: - try: - w3 = self.w3_pools.get(chain) - if not w3 or not w3.is_connected(): - continue - - balance_wei = w3.eth.get_balance(address) - if balance_wei > 0: - balance_eth = Web3.from_wei(balance_wei, 'ether') - results.append({ - 'chain': chain, - 'balance_wei': balance_wei, - 'balance_eth': float(balance_eth), - 'balance_formatted': f"{balance_eth:.6f} ETH" - }) - except: - continue - - return results - - -def save_found_wallet(mnemonic, address, private_key, balances): - """保存发现的钱包信息""" - with SAVE_LOCK: - timestamp = datetime.now().strftime("%Y-%m-%d %H:%M:%S") - info = { - 'timestamp': timestamp, - 'mnemonic': mnemonic, - 'address': address, - 'private_key': private_key, - 'balances': balances - } - - # 保存到文件 - with open(RESULTS_FILE, 'a', encoding='utf-8') as f: - f.write("="*80 + "\n") - f.write(f"发现时间: {timestamp}\n") - f.write(f"助记词: {mnemonic}\n") - f.write(f"地址: {address}\n") - f.write(f"私钥: {private_key}\n") - f.write("余额信息:\n") - for balance in balances: - f.write(f" {balance['chain'].upper()}: {balance['balance_formatted']}\n") - f.write("="*80 + "\n\n") - - # 同时保存JSON格式 - json_file = RESULTS_FILE.replace('.txt', '.json') - try: - if os.path.exists(json_file): - with open(json_file, 'r', encoding='utf-8') as f: - data = json.load(f) - else: - data = [] - - data.append(info) - with open(json_file, 'w', encoding='utf-8') as f: - json.dump(data, f, ensure_ascii=False, indent=2) - except: - pass - - -def worker_thread(wallet_tool, thread_id): - """工作线程：生成助记词并检查余额""" - global stats - - # 每个线程独立计数，减少锁竞争 - local_count = 0 - thread_start_time = time.time() - - while True: - try: - # 生成助记词 - mnemonic = wallet_tool.generate_mnemonic() - - # 生成地址 - address = wallet_tool.mnemonic_to_address(mnemonic) - if not address: - local_count += 1 - # 立即更新统计（不等待） - if local_count >= 1: # 每次都更新，确保统计正常 - with stats['lock']: - stats['total_checked'] += local_count - local_count = 0 - continue - - # 先更新统计（在查询余额之前） - local_count += 1 - if local_count >= 1: # 每次都更新 - with stats['lock']: - stats['total_checked'] += local_count - total = stats['total_checked'] - found = stats['found_balance'] - if total % 20 == 0: # 每20次打印一次 - elapsed = time.time() - stats['start_time'] - speed = total / elapsed if elapsed > 0 else 0 - logger.info(f"已检查: {total} | 发现: {found} | 速度: {speed:.1f} 个/秒") - local_count = 0 - - # 快速检查余额（只检查主要链，设置超时） - try: - balance_info = wallet_tool.quick_check_balance(address) - except: - balance_info = None - - # 如果发现余额 - if balance_info: - # 生成私钥 - account = Account.from_mnemonic(mnemonic, account_path="m/44'/60'/0'/0/0") - private_key = account.key.hex() - - # 检查所有链的余额 - all_balances = wallet_tool.check_all_chains(address) - - # 保存结果 - save_found_wallet(mnemonic, address, private_key, all_balances) - - # 更新统计并打印 - with stats['lock']: - stats['found_balance'] += 1 - - logger.success(f"🎉 发现余额钱包！") - logger.success(f"地址: {address}") - logger.success(f"助记词: {mnemonic}") - for bal in all_balances: - logger.success(f" {bal['chain'].upper()}: {bal['balance_formatted']}") - - except Exception as e: - # 即使出错也更新统计 - local_count += 1 - if local_count >= 1: - with stats['lock']: - stats['total_checked'] += local_count - local_count = 0 - continue - - -def main(): - """主函数""" - print("="*80) - print("EVM助记词碰撞工具 - 高速版本") - print("="*80) - print(f"结果将保存到: {RESULTS_FILE}") - print(f"查询的链: ethereum, bsc, polygon, arbitrum, base") - print("="*80) - print() - - # 选择要查询的链（可以修改这里） - chains = ["ethereum", "bsc", "polygon", "arbitrum", "base"] - - # 创建钱包工具 - wallet_tool = FastEVMWallet(chains=chains) - - # 设置线程数（根据CPU核心数调整） - num_threads = os.cpu_count() or 4 - print(f"启动 {num_threads} 个工作线程...") - print("按 Ctrl+C 停止程序\n") - - # 创建线程 - threads = [] - - for i in range(num_threads): - t = threading.Thread(target=worker_thread, args=(wallet_tool, i), daemon=True) - t.start() - threads.append(t) - - # 等待一小段时间确保线程启动 - time.sleep(1) - - # 检查是否有线程在运行 - active_threads = sum(1 for t in threads if t.is_alive()) - if active_threads == 0: - logger.error("所有工作线程都停止了，请检查RPC连接") - return - else: - logger.info(f"✓ {active_threads} 个工作线程正在运行") - - # 测试：生成一个测试地址并查询，验证功能是否正常 - logger.info("正在测试功能...") - test_mnemonic = wallet_tool.generate_mnemonic() - test_address = wallet_tool.mnemonic_to_address(test_mnemonic) - if test_address: - logger.info(f"测试地址生成成功: {test_address[:10]}...") - test_balance = wallet_tool.quick_check_balance(test_address) - if test_balance is None: - logger.info("测试余额查询成功（无余额，正常）") - else: - logger.warning(f"测试发现余额！这不太可能，请检查") - else: - logger.error("测试地址生成失败！") - - try: - # 主线程等待 - last_count = 0 - while True: - time.sleep(2) # 每2秒更新一次显示 - # 定期打印统计信息 - elapsed = time.time() - stats['start_time'] - current_count = stats['total_checked'] - - # 如果计数没有变化，可能是线程有问题 - if elapsed > 10 and current_count == last_count and current_count == 0: - logger.warning("警告：工作线程可能没有正常工作，请检查RPC连接") - - if elapsed > 0: - speed = current_count / elapsed if current_count > 0 else 0 - print(f"\r运行时间: {int(elapsed)}秒 | 已检查: {current_count} | 发现: {stats['found_balance']} | 速度: {speed:.1f} 个/秒", end='', flush=True) - - last_count = current_count - except KeyboardInterrupt: - print("\n\n正在停止...") - print(f"\n最终统计:") - print(f" 总检查数: {stats['total_checked']}") - print(f" 发现余额: {stats['found_balance']}") - print(f" 结果已保存到: {RESULTS_FILE}") - - -if __name__ == "__main__": - main() diff --git a/kline_data.xlsx b/kline_data.xlsx deleted file mode 100644 index 9550a12d26d3c3b01ffd4e81f3944b7abddddd24..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 517399 zcmY(qbyU>f7cMO6FwzW?Qqm~h(p|#{S`$=kb^DvL9c zfw?wW{)ltUk&m|rPipG<)K@KeqMn{(8bYLhCuJGVWUHSF| zr-JpnkuNfym7R6MFSHKzqQ^2hbipBKrTEVBzd$`Ok*jcqpuc8#nBsKk@x;?TwV&Yc91{K_Q)t 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开仓条件（信号出现时，下一根K线开盘价开仓）： - - 阳包阴（涨包跌）信号 -> 开多 - * 前一根是跌（阴线），后一根是涨（阳线） - * 且：涨的收盘价 > 跌的开盘价 - - - 阴包阳（跌包涨）信号 -> 开空 - * 前一根是涨（阳线），后一根是跌（阴线） - * 且：跌的收盘价 < 涨的开盘价 - -2. 平仓条件（所有平仓都在下一根K线开盘价执行）： - - 持有多单时：遇到两根连续的阴线 -> 下一根K线开盘价平仓 - - 持有空单时：遇到两根连续的阳线 -> 下一根K线开盘价平仓 - - 遇到反向信号：下一根K线开盘价平仓并反手开仓 - * 例如：持有多单时遇到阴包阳信号 -> 平多开空 - -3. 续持条件： - - 遇到同向信号：续持 - - 未满足平仓条件：续持 - -【数据处理流程】 -1. 从数据库读取数据 -2. 数据排序（按时间戳升序） -3. 开始回测 -""" - -import datetime -import calendar -from dataclasses import dataclass -from typing import List, Dict, Optional -from loguru import logger - -from models.mexc import Mexc30 - - -# ========================= 工具函数 ========================= - -# 交易对的最小价格单位（tick size）配置 -# 格式：交易对符号 -> 最小单位 -TICK_SIZE_MAP = { - 'SOLUSDT': 0.01, - 'BTCUSDT': 0.1, - 'ETHUSDT': 0.01, - 'BNBUSDT': 0.01, - # 可以根据需要添加更多交易对 -} - -# 默认最小单位（如果交易对不在配置中） -DEFAULT_TICK_SIZE = 0.01 - - -def get_tick_size(symbol: str) -> float: - """ - 获取交易对的最小价格单位 - :param symbol: 交易对符号，如 'SOLUSDT' - :return: 最小单位，如 0.01 - """ - return TICK_SIZE_MAP.get(symbol.upper(), DEFAULT_TICK_SIZE) - - -def adjust_price_for_trade(price: float, direction: str, symbol: str = 'SOLUSDT') -> float: - """ - 根据交易方向调整价格，考虑买卖价差 - - 买入（开多/平空）：价格 + tick_size - 卖出（开空/平多）：价格 - tick_size - - :param price: 原始价格（K线开盘价或收盘价） - :param direction: 交易方向，'long' 表示买入，'short' 表示卖出 - :param symbol: 交易对符号，用于获取最小单位 - :return: 调整后的价格 - """ - tick_size = get_tick_size(symbol) - - if direction == 'long': - # 买入：价格 + tick_size - adjusted = price + tick_size - elif direction == 'short': - # 卖出：价格 - tick_size - adjusted = price - tick_size - else: - # 未知方向，返回原价 - adjusted = price - - # 确保价格不会为负 - return max(adjusted, tick_size) - - -def is_bullish(c): # 阳线 - return float(c['close']) > float(c['open']) - - -def is_bearish(c): # 阴线 - return float(c['close']) < float(c['open']) - - -def check_signal(prev, curr): - """ - 包住形态信号判定（优化版）： - 只看两种信号，严格按照收盘价与开盘价的比较： - - 1. 阳包阴（涨包跌，前跌后涨）-> 做多： - - 前一根是跌（阴线：close < open） - - 后一根是涨（阳线：close > open） - - 且：涨的收盘价 > 跌的开盘价（curr['close'] > prev['open']） - - 2. 阴包阳（跌包涨，前涨后跌）-> 做空： - - 前一根是涨（阳线：close > open） - - 后一根是跌（阴线：close < open） - - 且：跌的收盘价 < 涨的开盘价（curr['close'] < prev['open']） - """ - p_open = float(prev['open']) - c_close = float(curr['close']) - - # 阳包阴（涨包跌，前跌后涨） -> 做多：涨的收盘价 > 跌的开盘价 - if is_bearish(prev) and is_bullish(curr) and c_close > p_open: - return "long", "bear_bull_engulf" - - # 阴包阳（跌包涨，前涨后跌） -> 做空：跌的收盘价 < 涨的开盘价 - if is_bullish(prev) and is_bearish(curr) and c_close < p_open: - return "short", "bull_bear_engulf" - - return None, None - - -def get_data_by_date(model, date_str: str): - """ - 按天获取指定表的数据（30分钟K线） - 数据格式：时间戳(毫秒级) 开盘价 最高价 最低价 收盘价 - 例如：1767461400000 3106.68 3109.1 3106.22 3107.22 - - 注意：返回的数据已按时间戳（id）升序排序 - """ - try: - target_date = datetime.datetime.strptime(date_str, '%Y-%m-%d') - except ValueError: - logger.error("日期格式不正确，请使用 YYYY-MM-DD 格式。") - return [] - - # 将日期转换为毫秒级时间戳进行查询 - start_ts = int(target_date.timestamp() * 1000) - end_ts = int((target_date + datetime.timedelta(days=1)).timestamp() * 1000) - 1 - - # 查询时按时间戳升序排序 - query = model.select().where(model.id.between(start_ts, end_ts)).order_by(model.id.asc()) - data = [{'id': i.id, 'open': i.open, 'high': i.high, 'low': i.low, 'close': i.close} for i in query] - - # 确保数据已排序 - if data: - data.sort(key=lambda x: x['id']) - - return data - - -# ========================= 回测逻辑 ========================= - -def backtest_15m_trend_optimized(dates: List[str], symbol: str = 'SOLUSDT'): - """ - 回测策略逻辑： - 1. 开仓条件（信号出现时，下一根K线开盘价开仓）： - - 阳包阴（涨包跌）信号 -> 开多 - - 阴包阳（跌包涨）信号 -> 开空 - - 2. 平仓条件（所有平仓都在下一根K线开盘价执行）： - - 持有多单时：遇到两根连续的阴线 -> 下一根K线开盘价平仓 - - 持有空单时：遇到两根连续的阳线 -> 下一根K线开盘价平仓 - - 遇到反向信号：下一根K线开盘价平仓并反手开仓 - （例如：持有多单时遇到阴包阳信号 -> 平多开空） - - 3. 续持条件： - - 遇到同向信号：续持 - - 未满足平仓条件：续持 - """ - # ==================== 步骤1：从数据库读取数据 ==================== - all_data: List[Dict] = [] - total_queried = 0 - for d in dates: - day_data = get_data_by_date(Mexc30, d) - all_data.extend(day_data) - if day_data: - total_queried += len(day_data) - - logger.info(f"总共查询了 {len(dates)} 天，获取到 {total_queried} 条K线数据") - - if not all_data: - logger.warning("未获取到任何数据，请检查数据库连接和日期范围") - return [], { - 'bear_bull_engulf': {'count': 0, 'wins': 0, 'total_profit': 0.0, 'name': '涨包跌'}, - 'bull_bear_engulf': {'count': 0, 'wins': 0, 'total_profit': 0.0, 'name': '跌包涨'}, - } - - # ==================== 步骤2：数据去重 + 排序（重要！必须先处理再回测） ==================== - # 以时间戳(id)为唯一键去重，保留最先出现的一条 - unique_by_id: Dict[int, Dict] = {} - for item in all_data: - if item['id'] not in unique_by_id: - unique_by_id[item['id']] = item - all_data = list(unique_by_id.values()) - all_data.sort(key=lambda x: x['id']) - - # 验证排序结果 - if len(all_data) > 1: - first_ts = all_data[0]['id'] - last_ts = all_data[-1]['id'] - first_time = datetime.datetime.fromtimestamp(first_ts / 1000) - last_time = datetime.datetime.fromtimestamp(last_ts / 1000) - logger.info(f"数据已按时间排序：{first_time.strftime('%Y-%m-%d %H:%M:%S')} 到 {last_time.strftime('%Y-%m-%d %H:%M:%S')}") - - # ==================== 步骤3：开始回测 ==================== - - stats = { - 'bear_bull_engulf': {'count': 0, 'wins': 0, 'total_profit': 0.0, 'name': '涨包跌'}, - 'bull_bear_engulf': {'count': 0, 'wins': 0, 'total_profit': 0.0, 'name': '跌包涨'}, - } - - trades: List[Dict] = [] - current_position: Optional[Dict] = None # 开仓信息 - consecutive_opposite_count = 0 # 连续反色K线计数 - idx = 1 - - while idx < len(all_data) - 1: - prev, curr, next_bar = all_data[idx - 1], all_data[idx], all_data[idx + 1] - direction, signal_key = check_signal(prev, curr) - - # ==================== 空仓状态：遇到信号则开仓 ==================== - # 策略：阳包阴信号 -> 开多，阴包阳信号 -> 开空 - if current_position is None: - if direction: - # 信号出现（prev和curr形成信号），在下一根K线（next_bar）的开盘价开仓 - # 应用买卖价差：买入（开多）时价格+0.01，卖出（开空）时价格-0.01 - raw_price = float(next_bar['open']) - entry_price = adjust_price_for_trade(raw_price, direction, symbol) - current_position = { - 'direction': direction, - 'signal': stats[signal_key]['name'], - 'signal_key': signal_key, - 'entry_price': entry_price, - 'entry_time': next_bar['id'] - } - consecutive_opposite_count = 0 # 重置连续反色计数 - stats[signal_key]['count'] += 1 - logger.debug(f"开仓: {stats[signal_key]['name']} {'做多' if direction == 'long' else '做空'} @ {entry_price:.2f} (原始价格: {raw_price:.2f})") - idx += 1 - continue - - # ==================== 有仓位状态：检查平仓条件 ==================== - pos_dir = current_position['direction'] - pos_sig_key = current_position['signal_key'] - - # 1. 反向信号 -> 下一根K线开盘价平仓并反手开仓 - # 策略：遇到反向信号（如持有多单时遇到阴包阳），平仓并反手开仓 - if direction and direction != pos_dir: - # 平仓：持有多单时卖出（价格-0.01），持有空单时买入（价格+0.01） - raw_exit_price = float(next_bar['open']) - exit_direction = 'short' if pos_dir == 'long' else 'long' # 平仓方向与持仓方向相反 - exit_price = adjust_price_for_trade(raw_exit_price, exit_direction, symbol) - - diff = (exit_price - current_position['entry_price']) if pos_dir == 'long' else ( - current_position['entry_price'] - exit_price) - trades.append({ - 'entry_time': datetime.datetime.fromtimestamp(current_position['entry_time'] / 1000), - 'exit_time': datetime.datetime.fromtimestamp(next_bar['id'] / 1000), - 'signal': current_position['signal'], - 'direction': '做多' if pos_dir == 'long' else '做空', - 'entry': current_position['entry_price'], - 'exit': exit_price, - 'diff': diff - }) - stats[pos_sig_key]['total_profit'] += diff - if diff > 0: stats[pos_sig_key]['wins'] += 1 - - # 反手开仓（下一根K线开盘价，应用买卖价差） - raw_entry_price = float(next_bar['open']) - entry_price = adjust_price_for_trade(raw_entry_price, direction, symbol) - current_position = { - 'direction': direction, - 'signal': stats[signal_key]['name'], - 'signal_key': signal_key, - 'entry_price': entry_price, - 'entry_time': next_bar['id'] - } - consecutive_opposite_count = 0 # 重置连续反色计数 - stats[signal_key]['count'] += 1 - logger.debug(f"反向信号反手: 平{'做多' if pos_dir == 'long' else '做空'} @ {exit_price:.2f} (原始: {raw_exit_price:.2f}), 开{'做多' if direction == 'long' else '做空'} @ {entry_price:.2f} (原始: {raw_entry_price:.2f})") - idx += 1 - continue - - # 2. 检查连续反色K线平仓条件（下一根K线开盘价平仓） - # 策略：持有多单时，遇到两根连续的阴线 -> 平仓 - # 持有空单时，遇到两根连续的阳线 -> 平仓 - if pos_dir == 'long' and is_bearish(curr): - consecutive_opposite_count += 1 - # 如果已经连续两根阴线，下一根K线开盘价平仓 - if consecutive_opposite_count >= 2: - logger.debug(f"平仓: 做多遇到连续两根阴线") - # 平多单：卖出，价格 - 0.01 - raw_exit_price = float(next_bar['open']) - exit_price = adjust_price_for_trade(raw_exit_price, 'short', symbol) - diff = exit_price - current_position['entry_price'] - trades.append({ - 'entry_time': datetime.datetime.fromtimestamp(current_position['entry_time'] / 1000), - 'exit_time': datetime.datetime.fromtimestamp(next_bar['id'] / 1000), - 'signal': current_position['signal'], - 'direction': '做多', - 'entry': current_position['entry_price'], - 'exit': exit_price, - 'diff': diff - }) - stats[pos_sig_key]['total_profit'] += diff - if diff > 0: stats[pos_sig_key]['wins'] += 1 - current_position = None - consecutive_opposite_count = 0 - idx += 1 - continue - else: - # 只有一根阴线，续持 - idx += 1 - continue - - # 持有空单：检查是否连续两根阳线 - elif pos_dir == 'short' and is_bullish(curr): - consecutive_opposite_count += 1 - # 如果已经连续两根阳线，下一根K线开盘价平仓 - if consecutive_opposite_count >= 2: - logger.debug(f"平仓: 做空遇到连续两根阳线") - # 平空单：买入，价格 + 0.01 - raw_exit_price = float(next_bar['open']) - exit_price = adjust_price_for_trade(raw_exit_price, 'long', symbol) - diff = current_position['entry_price'] - exit_price - trades.append({ - 'entry_time': datetime.datetime.fromtimestamp(current_position['entry_time'] / 1000), - 'exit_time': datetime.datetime.fromtimestamp(next_bar['id'] / 1000), - 'signal': current_position['signal'], - 'direction': '做空', - 'entry': current_position['entry_price'], - 'exit': exit_price, - 'diff': diff - }) - stats[pos_sig_key]['total_profit'] += diff - if diff > 0: stats[pos_sig_key]['wins'] += 1 - current_position = None - consecutive_opposite_count = 0 - idx += 1 - continue - else: - # 只有一根阳线，续持 - idx += 1 - continue - - # 3. 同向K线或同向信号 -> 续持，重置连续反色计数 - if (pos_dir == 'long' and is_bullish(curr)) or (pos_dir == 'short' and is_bearish(curr)): - consecutive_opposite_count = 0 # 重置连续反色计数 - - # 同向信号 -> 续持 - if direction and direction == pos_dir: - consecutive_opposite_count = 0 # 重置连续反色计数 - idx += 1 - continue - - idx += 1 - - # 尾仓：最后一根收盘价平仓 - if current_position: - last = all_data[-1] - pos_dir = current_position['direction'] - # 平仓：持有多单时卖出（价格-0.01），持有空单时买入（价格+0.01） - raw_exit_price = float(last['close']) - exit_direction = 'short' if pos_dir == 'long' else 'long' # 平仓方向与持仓方向相反 - exit_price = adjust_price_for_trade(raw_exit_price, exit_direction, symbol) - - diff = (exit_price - current_position['entry_price']) if pos_dir == 'long' else ( - current_position['entry_price'] - exit_price) - trades.append({ - 'entry_time': datetime.datetime.fromtimestamp(current_position['entry_time'] / 1000), - 'exit_time': datetime.datetime.fromtimestamp(last['id'] / 1000), - 'signal': current_position['signal'], - 'direction': '做多' if pos_dir == 'long' else '做空', - 'entry': current_position['entry_price'], - 'exit': exit_price, - 'diff': diff - }) - stats[current_position['signal_key']]['total_profit'] += diff - if diff > 0: stats[current_position['signal_key']]['wins'] += 1 - - return trades, stats - - -# ========================= 运行示例（优化版盈利计算） ========================= -if __name__ == '__main__': - dates = [] - # 获取当前日期 - today = datetime.datetime.now() - target_year = 2025 - - for month in range(1, 13): - # 获取该月的实际天数 - days_in_month = calendar.monthrange(target_year, month)[1] - for day in range(1, days_in_month + 1): - # 只添加今天及之前的日期 - date_str = f"{target_year}-{month:02d}-{day:02d}" - date_obj = datetime.datetime.strptime(date_str, '%Y-%m-%d') - # 如果日期在今天之后，跳过 - if date_obj > today: - break - dates.append(date_str) - - print(dates) - - # dates = [f"2025-09-{i}" for i in range(1, 32)] - # 指定交易对符号，用于获取正确的最小价格单位 - symbol = 'SOLUSDT' - trades, stats = backtest_15m_trend_optimized(dates, symbol=symbol) - - logger.info("===== 每笔交易详情 =====") - - # === 参数设定 === - contract_size = 10000 # 合约规模（1手对应多少基础货币） - open_fee_fixed = 5 # 固定开仓手续费 - close_fee_rate = 0.0005 # 按成交额比例的平仓手续费率 - - total_points_profit = 0 # 累计点差 - total_money_profit = 0 # 累计金额盈利 - total_fee = 0 # 累计手续费 - - for t in trades: - entry = t['entry'] - exit = t['exit'] - direction = t['direction'] - - # === 1️⃣ 原始价差（点差） === - point_diff = (exit - entry) if direction == '做多' else (entry - exit) - - # === 2️⃣ 金额盈利（考虑合约规模） === - money_profit = point_diff / entry * contract_size # 利润以基础货币计（例如USD） - - # === 3️⃣ 手续费计算 === - # 开仓 + 平仓手续费（按比例计算 + 固定） - fee = open_fee_fixed + (contract_size / entry * exit * close_fee_rate) - - # === 4️⃣ 净利润 === - net_profit = money_profit - fee - - # 保存计算结果 - t.update({ - 'point_diff': point_diff, - 'raw_profit': money_profit, - 'fee': fee, - 'net_profit': net_profit - }) - - total_points_profit += point_diff - total_money_profit += money_profit - total_fee += fee - - # if net_profit < -400: - logger.info( - f"{t['entry_time']} {direction}({t['signal']}) " - f"入={entry:.2f} 出={exit:.2f} 差价={point_diff:.2f} " - f"原始盈利={money_profit:.2f} 手续费={fee:.2f} 净利润={net_profit:.2f} {t['exit_time']}" - ) - - # === 汇总统计 === - total_net_profit = total_money_profit - total_fee - print(f"\n一共交易笔数：{len(trades)}") - print(f"总点差：{total_points_profit:.2f}") - print(f"总原始盈利（未扣费）：{total_money_profit:.2f}") - print(f"总手续费：{total_fee:.2f}") - print(f"总净利润：{total_net_profit:.2f}\n") - - print(total_money_profit - total_fee * 0.1) - - print("===== 信号统计 =====") - for k, v in stats.items(): - name, count, wins, total_p = v['name'], v['count'], v['wins'], v['total_profit'] - win_rate = (wins / count * 100) if count > 0 else 0.0 - avg_p = (total_p / count) if count > 0 else 0.0 - print(f"{name}: 次数={count} 胜率={win_rate:.2f}% 总价差={total_p:.2f} 平均价差={avg_p:.2f}") diff --git a/mexc/获取数据.py b/mexc/获取数据.py deleted file mode 100644 index 158d622..0000000 --- a/mexc/获取数据.py +++ /dev/null @@ -1,659 +0,0 @@ -import requests -import pandas as pd -import datetime -import time -from models.mexc import Mexc1, Mexc15, Mexc30, Mexc1Hour - - -def get_mexc_klines(symbol="SOLUSDT", interval="30m", limit=500): - url = "https://api.mexc.com/api/v3/klines" - headers = { - "User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/120.0.0.0 Safari/537.36" - } - params = { - "symbol": symbol.upper(), - "interval": interval, - "limit": limit - } - - try: - resp = requests.get(url, params=params, headers=headers, timeout=10) - resp.raise_for_status() # 提前抛出 HTTP 错误 - data = resp.json() - - if not isinstance(data, list) or not data: - print("返回数据异常：", data) - return None - - # 使用正确的 8 列 - columns = [ - "open_time", "open", "high", "low", "close", - "volume", "close_time", "quote_volume" - ] - - df = pd.DataFrame(data, columns=columns) - - # 保存原始时间戳（用于数据库id） - df["open_time_ms"] = df["open_time"].astype(int) - - # 时间戳转可读时间 - df["open_time"] = pd.to_datetime(df["open_time"], unit="ms") - df["close_time"] = pd.to_datetime(df["close_time"], unit="ms") - - # 常用字段排序 + 类型转换 - df = df[[ - "open_time", "open", "high", "low", "close", - "volume", "quote_volume", "open_time_ms" - ]] - - # 转成浮点数（方便后续计算） - for col in ["open", "high", "low", "close", "volume", "quote_volume"]: - df[col] = pd.to_numeric(df[col], errors="coerce") - - print(f"成功获取 {len(df)} 条 {interval} K线（{symbol}）") - return df - - except Exception as e: - print("请求失败:", str(e)) - return None - - -def normalize_futures_symbol(symbol): - """将现货格式转换为合约格式，如 SOLUSDT -> SOL_USDT""" - if "_" in symbol: - return symbol.upper() - symbol = symbol.upper() - for quote in ["USDT", "USDC", "USD", "BTC", "ETH"]: - if symbol.endswith(quote): - base = symbol[:-len(quote)] - return f"{base}_{quote}" - return symbol - - -def map_futures_interval(interval): - """合约K线周期映射""" - mapping = { - "1m": "Min1", - "5m": "Min5", - "15m": "Min15", - "30m": "Min30", - "1h": "Min60", - "4h": "Hour4", - "8h": "Hour8", - "1d": "Day1", - "1w": "Week1", - "1M": "Month1", - } - return mapping.get(interval, interval) - - -def get_mexc_klines_with_time(symbol="SOLUSDT", interval="30m", start_time_ms=None, end_time_ms=None, limit=1000): - """ - 获取指定时间范围内的K线数据 - :param symbol: 交易对符号 - :param interval: 时间间隔，如 "30m", "1m", "15m", "1h" - :param start_time_ms: 开始时间（毫秒级时间戳） - :param end_time_ms: 结束时间（毫秒级时间戳） - :param limit: 单次获取数量（最大1000） - :return: DataFrame或None - """ - def _fetch(params): - headers = { - "User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/120.0.0.0 Safari/537.36" - } - resp = requests.get(url, params=params, headers=headers, timeout=10) - resp.raise_for_status() - data = resp.json() - return resp, data - - url = "https://api.mexc.com/api/v3/klines" - params = { - "symbol": symbol.upper(), - "interval": interval, - "limit": limit - } - if start_time_ms: - params["startTime"] = start_time_ms - if end_time_ms: - params["endTime"] = end_time_ms - - try: - resp, data = _fetch(params) - - # 检查是否是错误响应 - if isinstance(data, dict) and 'code' in data: - print(f"API返回错误: {data}, 请求参数: {params}") - return None - - # 尝试秒级时间戳回退（部分接口可能只接受秒） - if (not isinstance(data, list) or not data) and (start_time_ms or end_time_ms): - params_s = params.copy() - if start_time_ms: - params_s["startTime"] = int(start_time_ms // 1000) - if end_time_ms: - params_s["endTime"] = int(end_time_ms // 1000) - resp_s, data_s = _fetch(params_s) - if isinstance(data_s, list) and data_s: - print("检测到秒级时间戳可用，已自动回退到秒级参数") - resp, data = resp_s, data_s - params = params_s - - if not isinstance(data, list) or not data: - print(f"API返回数据异常: {data}, 请求参数: {params}") - print(f"完整URL: {resp.url}") - return None - - columns = [ - "open_time", "open", "high", "low", "close", - "volume", "close_time", "quote_volume" - ] - - df = pd.DataFrame(data, columns=columns) - # 判断时间单位（秒/毫秒） - max_open = pd.to_numeric(df["open_time"], errors="coerce").max() - if max_open < 1_000_000_000_000: # 小于1e12视为秒 - df["open_time_ms"] = (df["open_time"].astype(int) * 1000) - df["open_time"] = pd.to_datetime(df["open_time"], unit="s") - df["close_time"] = pd.to_datetime(df["close_time"], unit="s") - else: - df["open_time_ms"] = df["open_time"].astype(int) - df["open_time"] = pd.to_datetime(df["open_time"], unit="ms") - df["close_time"] = pd.to_datetime(df["close_time"], unit="ms") - - df = df[[ - "open_time", "open", "high", "low", "close", - "volume", "quote_volume", "open_time_ms" - ]] - - for col in ["open", "high", "low", "close", "volume", "quote_volume"]: - df[col] = pd.to_numeric(df[col], errors="coerce") - - return df - - except Exception as e: - print(f"请求失败: {str(e)}") - return None - - -def get_mexc_futures_klines(symbol="SOLUSDT", interval="30m", limit=500): - return get_mexc_futures_klines_with_time( - symbol=symbol, - interval=interval, - start_time_ms=None, - end_time_ms=None, - limit=limit - ) - - -def get_mexc_futures_klines_with_time(symbol="SOLUSDT", interval="30m", start_time_ms=None, end_time_ms=None, limit=1000): - """ - 获取合约K线数据（使用 contract.mexc.com） - """ - url = "https://contract.mexc.com/api/v1/contract/kline" - symbol = normalize_futures_symbol(symbol) - interval = map_futures_interval(interval) - - def _fetch(params): - headers = { - "User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/120.0.0.0 Safari/537.36", - "Accept": "application/json, text/plain, */*", - "Content-Type": "application/json" - } - resp = requests.get(url, params=params, headers=headers, timeout=10) - resp.raise_for_status() - return resp, resp.json() - - params = { - "symbol": symbol, - "interval": interval, - "limit": limit - } - # 合约接口通常使用 start/end（秒级），这里默认秒级 - if start_time_ms: - params["start"] = int(start_time_ms // 1000) - if end_time_ms: - params["end"] = int(end_time_ms // 1000) - - try: - resp, data = _fetch(params) - - # 兼容错误结构 - if isinstance(data, dict) and ("success" in data and data.get("success") is False): - print(f"合约API返回错误: {data}, 请求参数: {params}") - return None - - payload = data - if isinstance(data, dict) and "data" in data: - payload = data["data"] - - # 兼容返回为 dict of arrays - if isinstance(payload, dict) and "time" in payload: - times = payload.get("time", []) - opens = payload.get("open", []) - highs = payload.get("high", []) - lows = payload.get("low", []) - closes = payload.get("close", []) - vols = payload.get("vol", []) - rows = list(zip(times, opens, highs, lows, closes, vols)) - payload = rows - - if not isinstance(payload, list) or not payload: - print(f"合约API返回数据异常: {payload}, 请求参数: {params}") - print(f"完整URL: {resp.url}") - return None - - # 兼容 list of lists: [time, open, high, low, close, vol, ...] - columns = ["open_time", "open", "high", "low", "close", "volume"] - df = pd.DataFrame(payload, columns=columns + list(range(len(payload[0]) - len(columns)))) - df = df[columns] - - # 判断时间单位（秒/毫秒） - max_open = pd.to_numeric(df["open_time"], errors="coerce").max() - if max_open < 1_000_000_000_000: - df["open_time_ms"] = (df["open_time"].astype(int) * 1000) - df["open_time"] = pd.to_datetime(df["open_time"], unit="s") - else: - df["open_time_ms"] = df["open_time"].astype(int) - df["open_time"] = pd.to_datetime(df["open_time"], unit="ms") - - for col in ["open", "high", "low", "close", "volume"]: - df[col] = pd.to_numeric(df[col], errors="coerce") - - # 合约接口不一定返回 quote_volume，这里保持一致字段结构 - df["quote_volume"] = pd.NA - df = df[[ - "open_time", "open", "high", "low", "close", - "volume", "quote_volume", "open_time_ms" - ]] - - return df - - except Exception as e: - print(f"合约请求失败: {str(e)}") - return None - - -def get_interval_ms(interval): - """ - 将时间间隔字符串转换为毫秒数 - :param interval: 如 "1m", "15m", "30m", "1h" - :return: 毫秒数 - """ - if interval.endswith("m"): - minutes = int(interval[:-1]) - return minutes * 60 * 1000 - elif interval.endswith("h"): - hours = int(interval[:-1]) - return hours * 60 * 60 * 1000 - elif interval.endswith("d"): - days = int(interval[:-1]) - return days * 24 * 60 * 60 * 1000 - else: - return 60 * 1000 # 默认1分钟 - - -def fetch_historical_data(symbol="SOLUSDT", interval="30m", start_date="2024-01-01", end_date=None, auto_save=True, mode="auto", market="spot"): - """ - 批量获取历史K线数据并存储到数据库 - :param symbol: 交易对符号 - :param interval: 时间间隔，如 "30m", "1m", "15m", "1h" - :param start_date: 开始日期，格式 "YYYY-MM-DD"，默认 "2024-01-01" - :param end_date: 结束日期，格式 "YYYY-MM-DD"，默认当前时间 - :param auto_save: 是否自动保存到数据库，默认True - :param mode: 获取模式，"auto" 自动判断，"forward" 正向，"reverse" 反向 - :return: 总共获取的数据条数 - """ - # 转换日期为时间戳（毫秒） - start_dt = datetime.datetime.strptime(start_date, "%Y-%m-%d") - start_dt = start_dt.replace(hour=0, minute=0, second=0, microsecond=0) - start_time_ms = int(start_dt.timestamp() * 1000) - - if end_date: - end_dt = datetime.datetime.strptime(end_date, "%Y-%m-%d") - end_dt = end_dt.replace(hour=23, minute=59, second=59, microsecond=999999) - else: - end_dt = datetime.datetime.now() - end_time_ms = int(end_dt.timestamp() * 1000) - - print(f"开始获取 {symbol} {interval} K线数据") - print(f"时间范围: {start_date} 至 {end_dt.strftime('%Y-%m-%d %H:%M:%S')}") - - current_start = start_time_ms - total_count = 0 - limit = 1000 # API最大限制 - interval_ms = get_interval_ms(interval) - - # 计算每次请求的时间窗口（1000条数据的时间跨度） - window_ms = limit * interval_ms - - if mode == "reverse": - return fetch_historical_data_reverse( - symbol=symbol, - interval=interval, - start_date=start_date, - end_date=end_date, - auto_save=auto_save, - market=market - ) - - fetch_fn = get_mexc_klines_with_time - latest_fn = get_mexc_klines - if market == "futures": - fetch_fn = get_mexc_futures_klines_with_time - latest_fn = get_mexc_futures_klines - - if mode == "auto": - # 探测：如果 start+end 为空、start 单独返回最新数据，说明 startTime 被忽略，改用反向获取 - probe_end = min(start_time_ms + window_ms, end_time_ms) - probe_df = fetch_fn( - symbol=symbol, - interval=interval, - start_time_ms=start_time_ms, - end_time_ms=probe_end, - limit=10 - ) - if probe_df is None or probe_df.empty: - probe_df2 = fetch_fn( - symbol=symbol, - interval=interval, - start_time_ms=start_time_ms, - end_time_ms=None, - limit=10 - ) - if probe_df2 is not None and not probe_df2.empty: - latest_ms = int(probe_df2.iloc[-1]["open_time_ms"]) - if latest_ms > probe_end: - print("检测到 startTime 被忽略，自动改为反向获取模式") - return fetch_historical_data_reverse( - symbol=symbol, - interval=interval, - start_date=start_date, - end_date=end_date, - auto_save=auto_save, - market=market - ) - - while current_start < end_time_ms: - current_end = min(current_start + window_ms, end_time_ms) - - print(f"正在获取: {datetime.datetime.fromtimestamp(current_start/1000)} 至 {datetime.datetime.fromtimestamp(current_end/1000)}") - print(f"时间戳: {current_start} 至 {current_end}") - - df = fetch_fn( - symbol=symbol, - interval=interval, - start_time_ms=current_start, - end_time_ms=current_end, - limit=limit - ) - - if df is None or df.empty: - # 先测试一下不带时间参数的最新数据是否能获取到 - if current_start == start_time_ms and total_count == 0: - print("\n=== 开始调试 ===") - print("测试1：尝试获取最新数据（不带时间参数）...") - test_df = latest_fn(symbol=symbol, interval=interval, limit=10) - if test_df is not None and not test_df.empty: - print(f"✓ 测试1成功！最新数据可以获取") - print(f" 最新时间: {test_df.iloc[-1]['open_time']}") - print(f" 最新时间戳: {test_df.iloc[-1]['open_time_ms']}") - - # 测试2：只带startTime，不带endTime - print(f"\n测试2：尝试只带startTime（从{start_date}开始）...") - test_df2 = fetch_fn( - symbol=symbol, - interval=interval, - start_time_ms=current_start, - end_time_ms=None, - limit=100 - ) - if test_df2 is not None and not test_df2.empty: - print(f"✓ 测试2成功！从指定时间开始获取数据") - print(f" 获取到 {len(test_df2)} 条数据") - print(f" 第一条时间: {test_df2.iloc[0]['open_time']}") - print(f" 最后一条时间: {test_df2.iloc[-1]['open_time']}") - print("=== 调试结束 ===\n") - # 使用测试2的方法继续，赋值给df - df = test_df2 - # 不break，继续下面的处理流程 - else: - print("✗ 测试2失败：带startTime无法获取数据") - print("\n建议：MEXC API可能不支持从历史日期开始查询") - print("可以尝试：1. 检查时间范围是否在API支持范围内") - print(" 2. 使用反向获取：从最新数据往前推") - print("=== 调试结束 ===\n") - break - else: - print("✗ 测试1失败：即使不带时间参数也无法获取数据") - print("可能原因：交易对符号或时间间隔不正确") - print("=== 调试结束 ===\n") - break - - # 如果测试后df仍然是None或空，说明无法获取数据 - if df is None or df.empty: - if total_count > 0: - print("已到达数据末尾") - else: - print("本次获取数据为空，跳过") - break - - count = len(df) - total_count += count - print(f"本次获取 {count} 条数据，累计 {total_count} 条") - - # 自动保存到数据库 - if auto_save: - save_to_database(df, interval=interval, symbol=symbol) - - # 更新下一次的起始时间（从最后一条数据的开盘时间 + 一个间隔） - last_open_ms = int(df.iloc[-1]['open_time_ms']) - current_start = last_open_ms + interval_ms - - # 避免请求过快 - time.sleep(0.2) - - print(f"完成！总共获取 {total_count} 条 {symbol} {interval} K线数据") - return total_count - - -def fetch_historical_data_reverse(symbol="SOLUSDT", interval="30m", start_date="2024-01-01", end_date=None, auto_save=True, market="spot"): - """ - 反向获取历史K线数据（从最新往前推，使用startTime参数） - """ - start_dt = datetime.datetime.strptime(start_date, "%Y-%m-%d") - start_dt = start_dt.replace(hour=0, minute=0, second=0, microsecond=0) - start_time_ms = int(start_dt.timestamp() * 1000) - - if end_date: - end_dt = datetime.datetime.strptime(end_date, "%Y-%m-%d") - end_dt = end_dt.replace(hour=23, minute=59, second=59, microsecond=999999) - else: - end_dt = datetime.datetime.now() - end_time_ms = int(end_dt.timestamp() * 1000) - - print(f"开始反向获取 {symbol} {interval} K线数据（从最新往前推）") - print(f"目标时间范围: {start_date} 至 {end_dt.strftime('%Y-%m-%d %H:%M:%S')}") - - total_count = 0 - limit = 1000 # 每次尝试获取1000条 - interval_ms = get_interval_ms(interval) - - # 使用带时间参数的函数 - fetch_fn = get_mexc_klines_with_time - if market == "futures": - fetch_fn = get_mexc_futures_klines_with_time - - # 先获取最新数据，确定当前最新时间 - print("\n第 1 批：获取最新数据...") - df_latest = get_mexc_klines(symbol=symbol, interval=interval, limit=100) - if df_latest is None or df_latest.empty: - print("无法获取最新数据，停止") - return 0 - - latest_time_ms = int(df_latest.iloc[-1]["open_time_ms"]) - earliest_fetched_ms = int(df_latest.iloc[0]["open_time_ms"]) - - # 保存第一批数据 - df_latest_filtered = df_latest[df_latest["open_time_ms"] >= start_time_ms] - if not df_latest_filtered.empty: - count = len(df_latest_filtered) - total_count += count - print(f"获取 {count} 条最新数据，时间范围: {datetime.datetime.fromtimestamp(earliest_fetched_ms/1000)} 至 {datetime.datetime.fromtimestamp(latest_time_ms/1000)}") - if auto_save: - save_to_database(df_latest_filtered, interval=interval, symbol=symbol) - - # 从已获取的最早时间往前推 - current_start_ms = earliest_fetched_ms - interval_ms - batch_num = 1 - - while current_start_ms >= start_time_ms: - batch_num += 1 - # 计算本次请求的时间窗口（往前推limit条数据的时间跨度） - window_ms = limit * interval_ms - batch_start_ms = max(current_start_ms - window_ms, start_time_ms) - - print(f"\n第 {batch_num} 批：从 {datetime.datetime.fromtimestamp(batch_start_ms/1000)} 开始获取...") - - # 使用startTime参数，尝试获取更早的数据 - df = fetch_fn( - symbol=symbol, - interval=interval, - start_time_ms=batch_start_ms, - end_time_ms=current_start_ms, - limit=limit - ) - - if df is None or df.empty: - # 如果返回空，尝试只使用startTime，不带endTime - print(" 带endTime返回空，尝试只使用startTime...") - df = fetch_fn( - symbol=symbol, - interval=interval, - start_time_ms=batch_start_ms, - end_time_ms=None, - limit=limit - ) - - if df is None or df.empty: - print(f" 无法获取数据，可能已到达API历史数据限制") - break - - # 检查返回的数据是否真的从startTime开始（判断startTime是否被忽略） - returned_earliest = int(df.iloc[0]["open_time_ms"]) - returned_latest = int(df.iloc[-1]["open_time_ms"]) - - # 如果返回的数据仍然是最新的，说明startTime被忽略 - if returned_latest >= latest_time_ms - 1000: # 允许1秒误差 - print(f" 检测到startTime被忽略（返回最新数据），无法继续往前获取") - break - - # 过滤掉已获取的数据和早于start_date的数据 - df = df[df["open_time_ms"] < current_start_ms] - df = df[df["open_time_ms"] >= start_time_ms] - - if df.empty: - print(f" 过滤后无新数据") - # 如果已经到达目标起始时间，完成 - if batch_start_ms <= start_time_ms: - print(f"已到达目标起始时间（{start_date}），完成") - break - # 否则继续往前推 - current_start_ms = batch_start_ms - interval_ms - time.sleep(0.3) - continue - - # 更新已获取的最早时间戳 - current_earliest = int(df.iloc[0]["open_time_ms"]) - if current_earliest < earliest_fetched_ms: - earliest_fetched_ms = current_earliest - - count = len(df) - total_count += count - print(f" 获取 {count} 条新数据，最早时间: {datetime.datetime.fromtimestamp(current_earliest/1000)}") - print(f" 累计获取 {total_count} 条数据") - - if auto_save: - save_to_database(df, interval=interval, symbol=symbol) - - # 更新下一次的起始时间 - current_start_ms = current_earliest - interval_ms - - # 避免请求过快 - time.sleep(0.3) - - # 安全限制 - if batch_num > 500: - print("批次过多，停止") - break - - print(f"\n完成！总共获取 {total_count} 条 {symbol} {interval} K线数据") - if earliest_fetched_ms: - print(f"最早数据时间: {datetime.datetime.fromtimestamp(earliest_fetched_ms/1000)}") - if earliest_fetched_ms > start_time_ms: - print(f"⚠️ 注意：最早数据时间 ({datetime.datetime.fromtimestamp(earliest_fetched_ms/1000)}) 晚于目标起始时间 ({start_date})") - print(f" 这可能是因为MEXC API的历史数据限制，无法获取更早的数据") - return total_count - - -def save_to_database(df, interval="30m", symbol="SOLUSDT"): - """ - 将K线数据存储到数据库 - :param df: pandas DataFrame，包含K线数据 - :param interval: 时间间隔，如 "30m", "1m", "15m", "1h" - :param symbol: 交易对符号 - """ - if df is None or df.empty: - print("数据为空，无法存储") - return - - # 根据时间间隔选择对应的模型 - interval_map = { - "1m": Mexc1, - "15m": Mexc15, - "30m": Mexc30, - "1h": Mexc1Hour, - } - - model_class = interval_map.get(interval) - if model_class is None: - print(f"不支持的时间间隔: {interval}") - return - - # 存储数据到数据库 - saved_count = 0 - for _, row in df.iterrows(): - # 使用原始时间戳（毫秒级）作为 id - timestamp_ms = int(row['open_time_ms']) - - model_class.get_or_create( - id=timestamp_ms, - defaults={ - 'open': float(row['open']), - 'high': float(row['high']), - 'low': float(row['low']), - 'close': float(row['close']), - } - ) - saved_count += 1 - - print(f"成功存储 {saved_count} 条 {interval} K线数据（{symbol}）到数据库") - - -# 使用示例 -if __name__ == "__main__": - # 方式1: 获取最新200条数据 - # df = get_mexc_klines("SOLUSDT", "30m", 200) - # if df is not None: - # print(df.tail(8)) - # save_to_database(df, interval="30m", symbol="SOLUSDT") - - # 方式2: 批量获取2024年至今的历史数据（使用现货接口，反向获取） - fetch_historical_data( - symbol="SOLUSDT", - interval="30m", - start_date="2024-01-01", - end_date=None, # None表示到当前时间 - auto_save=True, - market="spot", # 使用现货接口 - mode="reverse" # 强制使用反向获取模式（从最新往前推） - ) \ No newline at end of file diff --git a/okx/okx_eth_15m_sep2025.json b/okx/okx_eth_15m_sep2025.json deleted file mode 100644 index 0637a08..0000000 --- a/okx/okx_eth_15m_sep2025.json +++ /dev/null @@ -1 +0,0 @@ -[] \ No newline at end of file diff --git a/okx/test.py b/okx/test.py deleted file mode 100644 index 9b89f87..0000000 --- a/okx/test.py +++ /dev/null @@ -1,211 +0,0 @@ -import datetime -import json -import time -import requests -from loguru import logger - -# ================== 通用请求头 ================== -headers = { - 'accept': 'application/json, text/plain, */*', - 'accept-language': 'zh,zh-CN;q=0.9,zh-HK;q=0.8,en;q=0.7', - 'cache-control': 'no-cache', - 'origin': 'https://www.okx.com', - 'pragma': 'no-cache', - 'priority': 'u=1, i', - 'referer': 'https://www.okx.com/', - 'sec-ch-ua': '"Chromium";v="140", "Not=A?Brand";v="24", "Google Chrome";v="140"', - 'sec-ch-ua-mobile': '?0', - 'sec-ch-ua-platform': '"Windows"', - 'sec-fetch-dest': 'empty', - 'sec-fetch-mode': 'cors', - 'sec-fetch-site': 'same-site', - 'user-agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/140.0.0.0 Safari/537.36', -} - - -# ================== 获取 OKX K线数据 ================== -def fetch_kline_okx(day: int, year: int = 2025, month: int = 9, period='15m', symbol="ETH-USDT"): - """ - 从 OKX 获取指定日期的K线数据 - :param day: 日期 - :param year: 年份 - :param month: 月份 - :param period: K线周期 (如 '1m', '5m', '15m', '1H') - :param symbol: 交易对 - """ - time_ser = datetime.datetime(year, month, day) - start_of_day = int(time_ser.replace(hour=0, minute=0, second=0, microsecond=0).timestamp() * 1000) - end_of_day = int(time_ser.replace(hour=23, minute=59, second=59, microsecond=0).timestamp() * 1000) - - url = "https://www.okx.com/api/v5/market/candles" - params = { - "instId": symbol, - "bar": period, - "limit": "1000" - } - - all_data = [] - next_start = end_of_day - - while True: - params["after"] = next_start - resp = requests.get(url, params=params, headers=headers) - data = resp.json().get("data", []) - - if not data: - break - - for d in data: - candle = { - "id": int(int(d[0]) / 1000), # 秒级时间戳 - "open": d[1], - "high": d[2], - "low": d[3], - "close": d[4], - "volume": d[5] - } - all_data.append(candle) - - next_start = int(data[-1][0]) - if len(data) < 1000: - break - - # OKX返回数据按时间倒序排列 - return sorted(all_data, key=lambda x: x['id']) - - -# ================== 辅助函数 ================== -def is_bullish(candle): - """判断是否是阳线（涨）""" - return float(candle['open']) < float(candle['close']) - - -def is_bearish(candle): - """判断是否是阴线（跌）""" - return float(candle['open']) > float(candle['close']) - - -def check_signal(prev, curr): - """ - 判断包住形态信号： - 1. 前跌后涨包住 -> 做多信号 (bear_bull_engulf) - 2. 前涨后跌包住 -> 做空信号 (bull_bear_engulf) - """ - p_open, p_close = float(prev['open']), float(prev['close']) - c_open, c_close = float(curr['open']), float(curr['close']) - - # 前跌后涨包住 -> 做多 - if is_bullish(curr) and is_bearish(prev): - if c_open < p_close and c_close > p_open: - return "long", "bear_bull_engulf" - - # 前涨后跌包住 -> 做空 - if is_bearish(curr) and is_bullish(prev): - if c_open > p_close and c_close < p_open: - return "short", "bull_bear_engulf" - - return None, None - - -def simulate_trade(direction, entry_price, future_candles, take_profit_diff=30, stop_loss_diff=-10): - """ - 模拟逐根K线的止盈止损 - """ - for candle in future_candles: - high, low, close = float(candle['high']), float(candle['low']), float(candle['close']) - - if direction == "long": - if high >= entry_price + take_profit_diff: - return entry_price + take_profit_diff, take_profit_diff, candle['id'] # 止盈 - if low <= entry_price + stop_loss_diff: - return entry_price + stop_loss_diff, stop_loss_diff, candle['id'] # 止损 - - elif direction == "short": - if low <= entry_price - take_profit_diff: - return entry_price - take_profit_diff, take_profit_diff, candle['id'] - if high >= entry_price - stop_loss_diff: - return entry_price - stop_loss_diff, stop_loss_diff, candle['id'] - - final_price = float(future_candles[-1]['close']) - diff_money = (final_price - entry_price) if direction == "long" else (entry_price - final_price) - return final_price, diff_money, future_candles[-1]['id'] - - -# ================== 主程序 ================== -if __name__ == '__main__': - all_trades = [] - signal_stats = { - "bear_bull_engulf": {"count": 0, "wins": 0, "total_profit": 0, "name": "涨包跌"}, - "bull_bear_engulf": {"count": 0, "wins": 0, "total_profit": 0, "name": "跌包涨"} - } - - datas = [] - for i in range(1, 31): - logger.info(f"Fetching 2025-09-{i}") - sorted_data = fetch_kline_okx(year=2025, month=1, day=i, period='15m', symbol="ETH-USDT") - datas.extend(sorted_data) - time.sleep(0.3) - - # # 可选：保存数据方便离线分析 - # with open("okx_eth_15m_sep2025.json", "w", encoding="utf-8") as f: - # json.dump(datas, f, ensure_ascii=False, indent=2) - - datas = sorted(datas, key=lambda x: x["id"]) - - daily_signals = daily_wins = daily_profit = 0 - - for idx in range(1, len(datas) - 2): - prev, curr = datas[idx - 1], datas[idx] - entry_candle = datas[idx + 1] - future_candles = datas[idx + 2:] - - entry_open = float(entry_candle['open']) - direction, signal_type = check_signal(prev, curr) - - if direction and signal_type: - daily_signals += 1 - exit_price, diff, exit_time = simulate_trade(direction, entry_open, future_candles, - take_profit_diff=30, stop_loss_diff=-2) - - signal_stats[signal_type]["count"] += 1 - signal_stats[signal_type]["total_profit"] += diff - if diff > 0: - signal_stats[signal_type]["wins"] += 1 - daily_wins += 1 - - daily_profit += diff - - local_time = datetime.datetime.fromtimestamp(entry_candle['id']) - formatted_time = local_time.strftime("%Y-%m-%d %H:%M") - - all_trades.append(( - formatted_time, - "做多" if direction == "long" else "做空", - signal_stats[signal_type]["name"], - entry_open, - exit_price, - diff, - exit_time - )) - - # ================= 输出交易详情 ================= - logger.info("===== 每笔交易详情 =====") - n = n1 = 0 - for date, direction, signal_name, entry, exit, diff, end_time in all_trades: - profit_amount = diff / entry * 10000 - close_fee = 10000 / entry * exit * 0.0005 - - logger.info( - f"{date} {direction}({signal_name}) 入场={entry:.2f} 出场={exit:.2f} 出场时间={end_time} " - f"差价={diff:.2f} 盈利={profit_amount:.2f} " - f"开仓手续费=5u 平仓手续费={close_fee:.2f}" - ) - n1 += 5 + close_fee - n += profit_amount - - print("=" * 60) - print(f"交易总数：{len(all_trades)}") - print(f"总盈利：{n:.2f} u") - print(f"总手续费：{n1:.2f} u") - print(f"净利润：{n - n1:.2f} u") - print("=" * 60) diff --git a/open_fifth_strategy/README.md b/open_fifth_strategy/README.md deleted file mode 100644 index d691d5b..0000000 --- a/open_fifth_strategy/README.md +++ /dev/null @@ -1,25 +0,0 @@ -# 基于开盘价的五分之一策略 - -策略规则（1111）： - -- **做多触发价** = 当前K线开盘价 + 前一根实体/5 -- **做空触发价** = 当前K线开盘价 - 前一根实体/5 -- **前一根有效K线**：实体 ≥ 0.1 - -## 执行逻辑 - -- 当前K线最高价 ≥ 做多触发价 → 做多信号 -- 当前K线最低价 ≤ 做空触发价 → 做空信号 -- 同根K线多空都触及时，用1分钟K线判断先后 -- 触及信号则开仓或反手，同根3分钟K线只交易一次 - -## 运行 - -```bash -cd /path/to/lm_code -python open_fifth_strategy/main.py -``` - -## 配置 - -在 `config.py` 中修改 API、合约、杠杆等参数。 diff --git a/open_fifth_strategy/__init__.py b/open_fifth_strategy/__init__.py deleted file mode 100644 index 94126ba..0000000 --- a/open_fifth_strategy/__init__.py +++ /dev/null @@ -1,2 +0,0 @@ -# -*- coding: utf-8 -*- -"""基于开盘价的五分之一策略""" diff --git a/open_fifth_strategy/config.py b/open_fifth_strategy/config.py deleted file mode 100644 index 0260e4f..0000000 --- a/open_fifth_strategy/config.py +++ /dev/null @@ -1,26 +0,0 @@ -# -*- coding: utf-8 -*- -""" -基于开盘价的五分之一策略 - 配置文件 - -策略规则（1111）： -- 做多触发价 = 当前K线开盘价 + 前一根实体/5 -- 做空触发价 = 当前K线开盘价 - 前一根实体/5 -- 前一根有效K线：实体 >= 0.1 -""" - -# BitMart API（请勿提交敏感信息到版本库） -API_KEY = "a0fb7b98464fd9bcce67e7c519d58ec10d0c38a8" -SECRET_KEY = "4eaeba78e77aeaab1c2027f846a276d164f264a44c2c1bb1c5f3be50c8de1ca5" -MEMO = "合约交易" - -# 交易参数 -CONTRACT_SYMBOL = "ETHUSDT" -KLINE_STEP = 3 # 3分钟K线 -MIN_BODY_SIZE = 0.1 # 有效K线最小实体 -CHECK_INTERVAL = 3 # 检测间隔（秒） -LEVERAGE = "100" -OPEN_TYPE = "cross" # 全仓 -RISK_PERCENT = 0.01 # 每次开仓占用可用余额的比例 - -# 比特浏览器ID（用于网页下单） -BIT_ID = "f2320f57e24c45529a009e1541e25961" diff --git a/open_fifth_strategy/main.py b/open_fifth_strategy/main.py deleted file mode 100644 index 358ba83..0000000 --- a/open_fifth_strategy/main.py +++ /dev/null @@ -1,536 +0,0 @@ -# -*- coding: utf-8 -*- -""" -BitMart 基于开盘价的五分之一策略交易 - -策略规则（1111）： -- 做多触发价 = 当前K线开盘价 + 实体/5 -- 做空触发价 = 当前K线开盘价 - 实体/5 -- 基于前一根有效K线（实体 >= 0.1） - -执行：触及做多/做空触发价则开仓或反手，同根K线只交易一次 - -运行：python open_fifth_strategy/main.py（在项目根目录 lm_code 下） -""" -import sys -from pathlib import Path - -_root = Path(__file__).resolve().parent.parent -if str(_root) not in sys.path: - sys.path.insert(0, str(_root)) - -import random -import time -from concurrent.futures import ThreadPoolExecutor - -from loguru import logger -from bit_tools import openBrowser -from DrissionPage import ChromiumPage -from DrissionPage import ChromiumOptions - -from bitmart.api_contract import APIContract -from 交易.tools import send_dingtalk_message - -from open_fifth_strategy.config import ( - API_KEY, - SECRET_KEY, - MEMO, - CONTRACT_SYMBOL, - KLINE_STEP, - MIN_BODY_SIZE, - CHECK_INTERVAL, - LEVERAGE, - OPEN_TYPE, - RISK_PERCENT, - BIT_ID, -) - -ding_executor = ThreadPoolExecutor(max_workers=2, thread_name_prefix="dingtalk") - - -class OpenBasedFifthStrategy: - """基于开盘价的五分之一策略""" - - def __init__(self, bit_id=None): - self.page = None - self.api_key = API_KEY - self.secret_key = SECRET_KEY - self.memo = MEMO - self.contract_symbol = CONTRACT_SYMBOL - self.contractAPI = APIContract( - self.api_key, self.secret_key, self.memo, timeout=(5, 15) - ) - - self.start = 0 # 持仓: -1空, 0无, 1多 - self.open_avg_price = None - self.current_amount = None - self.position_cross = None - self.bit_id = bit_id or BIT_ID - - self.min_body_size = MIN_BODY_SIZE - self.kline_step = KLINE_STEP - self.check_interval = CHECK_INTERVAL - self.leverage = LEVERAGE - self.open_type = OPEN_TYPE - self.risk_percent = RISK_PERCENT - - self.last_trigger_kline_id = None - self.last_trigger_direction = None - self.last_trade_kline_id = None - - # ==================== 策略核心 ==================== - - def get_body_size(self, candle): - return abs(float(candle["open"]) - float(candle["close"])) - - def find_valid_prev_bar(self, all_data, current_idx): - """找前一根有效K线（实体>=min_body_size）""" - if current_idx <= 0: - return None, None - for i in range(current_idx - 1, -1, -1): - prev = all_data[i] - if self.get_body_size(prev) >= self.min_body_size: - return i, prev - return None, None - - def get_trigger_levels(self, prev, curr_open): - """ - 基于当前K线开盘价计算触发价（1111） - 做多触发 = 当前K线开盘价 + 实体/5 - 做空触发 = 当前K线开盘价 - 实体/5 - """ - body = self.get_body_size(prev) - if body < 0.001: - return None, None - curr_o = float(curr_open) - return curr_o + body / 5, curr_o - body / 5 - - def get_1m_bars_for_3m_bar(self, bar_3m): - """获取当前3分钟K线对应的3根1分钟K线""" - try: - start_ts = int(bar_3m["id"]) - end_ts = start_ts + 3 * 60 - response = self.contractAPI.get_kline( - contract_symbol=self.contract_symbol, - step=1, - start_time=start_ts, - end_time=end_ts, - )[0] - if response.get("code") != 1000: - return [] - data = response.get("data", []) - out = [] - for k in data: - out.append( - { - "id": int(k["timestamp"]), - "open": float(k["open_price"]), - "high": float(k["high_price"]), - "low": float(k["low_price"]), - "close": float(k["close_price"]), - } - ) - out.sort(key=lambda x: x["id"]) - return out - except Exception as e: - logger.warning(f"获取1分钟K线失败: {e}") - return [] - - def determine_trigger_order_by_1m(self, bars_1m, long_trigger, short_trigger): - """同根K线多空都触及时，用1分钟K线判断先后""" - if not bars_1m: - return None - for bar in bars_1m: - high = float(bar["high"]) - low = float(bar["low"]) - open_price = float(bar["open"]) - long_ok = high >= long_trigger - short_ok = low <= short_trigger - if long_ok and not short_ok: - return "long" - if short_ok and not long_ok: - return "short" - if long_ok and short_ok: - d_long = abs(long_trigger - open_price) - d_short = abs(short_trigger - open_price) - return "short" if d_short < d_long else "long" - return None - - def check_trigger(self, kline_data): - """ - 检测当前K线是否触发信号（1111：当前开盘价±实体/5） - 返回：(方向, 触发价, 有效前一根, 当前K线) 或 (None,...) - """ - if len(kline_data) < 2: - return None, None, None, None - - curr = kline_data[-1] - curr_kline_id = curr["id"] - curr_open = curr["open"] - _, prev = self.find_valid_prev_bar(kline_data, len(kline_data) - 1) - if prev is None: - return None, None, None, None - - long_trigger, short_trigger = self.get_trigger_levels(prev, curr_open) - if long_trigger is None: - return None, None, None, None - - c_high = float(curr["high"]) - c_low = float(curr["low"]) - long_triggered = c_high >= long_trigger - short_triggered = c_low <= short_trigger - - direction = None - trigger_price = None - - if long_triggered and short_triggered: - bars_1m = self.get_1m_bars_for_3m_bar(curr) - if bars_1m: - direction = self.determine_trigger_order_by_1m( - bars_1m, long_trigger, short_trigger - ) - trigger_price = long_trigger if direction == "long" else short_trigger - if direction is None: - c_open_f = float(curr["open"]) - d_long = abs(long_trigger - c_open_f) - d_short = abs(short_trigger - c_open_f) - direction = "short" if d_short <= d_long else "long" - trigger_price = long_trigger if direction == "long" else short_trigger - elif short_triggered: - direction = "short" - trigger_price = short_trigger - elif long_triggered: - direction = "long" - trigger_price = long_trigger - - if direction is None: - return None, None, None, None - if ( - self.last_trigger_kline_id == curr_kline_id - and self.last_trigger_direction == direction - ): - return None, None, None, None - - return direction, trigger_price, prev, curr - - # ==================== BitMart API ==================== - - def get_klines(self): - try: - end_time = int(time.time()) - response = self.contractAPI.get_kline( - contract_symbol=self.contract_symbol, - step=self.kline_step, - start_time=end_time - 3600 * 3, - end_time=end_time, - )[0]["data"] - formatted = [] - for k in response: - formatted.append( - { - "id": int(k["timestamp"]), - "open": float(k["open_price"]), - "high": float(k["high_price"]), - "low": float(k["low_price"]), - "close": float(k["close_price"]), - } - ) - formatted.sort(key=lambda x: x["id"]) - return formatted - except Exception as e: - if "429" in str(e) or "too many requests" in str(e).lower(): - logger.warning(f"API限流，等待60秒: {e}") - time.sleep(60) - else: - logger.error(f"获取K线异常: {e}") - self.ding("获取K线异常", error=True) - return None - - def get_available_balance(self): - try: - response = self.contractAPI.get_assets_detail()[0] - if response["code"] == 1000: - data = response["data"] - if isinstance(data, dict): - return float(data.get("available_balance", 0)) - for asset in data: - if asset.get("currency") == "USDT": - return float(asset.get("available_balance", 0)) - return None - except Exception as e: - logger.error(f"余额查询异常: {e}") - return None - - def get_position_status(self): - try: - response = self.contractAPI.get_position( - contract_symbol=self.contract_symbol - )[0] - if response["code"] == 1000: - positions = response["data"] - if not positions: - self.start = 0 - self.open_avg_price = None - self.current_amount = None - self.position_cross = None - return True - self.start = 1 if positions[0]["position_type"] == 1 else -1 - self.open_avg_price = positions[0]["open_avg_price"] - self.current_amount = positions[0]["current_amount"] - self.position_cross = positions[0]["position_cross"] - return True - return False - except Exception as e: - logger.error(f"持仓查询异常: {e}") - return False - - def set_leverage(self): - try: - response = self.contractAPI.post_submit_leverage( - contract_symbol=self.contract_symbol, - leverage=self.leverage, - open_type=self.open_type, - )[0] - if response["code"] == 1000: - logger.success(f"全仓 {self.leverage}x 杠杆设置成功") - return True - logger.error(f"杠杆设置失败: {response}") - return False - except Exception as e: - logger.error(f"设置杠杆异常: {e}") - return False - - # ==================== 浏览器 ==================== - - def _open_browser(self): - try: - bit_port = openBrowser(id=self.bit_id) - co = ChromiumOptions() - co.set_local_port(port=bit_port) - self.page = ChromiumPage(addr_or_opts=co) - return True - except Exception: - return False - - def close_extra_tabs(self): - try: - for idx, tab in enumerate(self.page.get_tabs()): - if idx > 0: - tab.close() - return True - except Exception: - return False - - def click_safe(self, xpath, sleep=0.5): - try: - ele = self.page.ele(xpath) - if not ele: - return False - ele.scroll.to_see(center=True) - time.sleep(sleep) - ele.click(by_js=True) - return True - except Exception: - return False - - def 平仓(self): - logger.info("执行平仓...") - self.click_safe('x://span[normalize-space(text()) ="市价"]') - time.sleep(0.5) - self.ding("执行平仓操作") - - def 开单(self, marketPriceLongOrder=0, size=None): - if size is None or size <= 0: - logger.warning("开单金额无效") - return False - direction_str = "做多" if marketPriceLongOrder == 1 else "做空" - logger.info(f"执行{direction_str}，金额: {size}") - size = max(1, min(25, int(size))) - try: - self.click_safe('x://button[normalize-space(text()) ="市价"]') - self.page.ele('x://*[@id="size_0"]').input(str(size)) - if marketPriceLongOrder == -1: - self.click_safe('x://span[normalize-space(text()) ="卖出/做空"]') - else: - self.click_safe('x://span[normalize-space(text()) ="买入/做多"]') - self.ding(f"执行{direction_str}，金额: {size}") - return True - except Exception as e: - logger.error(f"开单异常: {e}") - return False - - def ding(self, msg, error=False): - prefix = "❌五分之一：" if error else "🔔五分之一：" - full_msg = f"{prefix}{msg}" - if error: - logger.error(msg) - for _ in range(3): - ding_executor.submit(self._send_ding_safe, full_msg) - else: - logger.info(msg) - ding_executor.submit(self._send_ding_safe, full_msg) - - def _send_ding_safe(self, msg): - try: - send_dingtalk_message(msg) - except Exception as e: - logger.warning(f"消息发送失败: {e}") - - def _send_position_message(self, latest_kline): - current_price = float(latest_kline["close"]) - balance = self.get_available_balance() - self.balance = balance if balance is not None else 0.0 - if self.start != 0: - open_avg_price = float(self.open_avg_price) - current_amount = float(self.current_amount) - position_cross = float(getattr(self, "position_cross", 0) or 0) - if self.start == 1: - unrealized_pnl = current_amount * 0.001 * ( - current_price - open_avg_price - ) - else: - unrealized_pnl = current_amount * 0.001 * ( - open_avg_price - current_price - ) - pnl_rate = ( - (current_price - open_avg_price) / open_avg_price * 100 - if self.start == 1 - else (open_avg_price - current_price) / open_avg_price * 100 - ) - direction_str = "空" if self.start == -1 else "多" - msg = ( - f"【五分之一 {self.contract_symbol}】\n" - f"方向：{direction_str}\n" - f"现价：{current_price:.2f}\n" - f"开仓均价：{open_avg_price:.2f}\n" - f"浮动盈亏：{unrealized_pnl:+.2f} USDT ({pnl_rate:+.2f}%)\n" - f"余额：{self.balance:.2f}" - ) - else: - msg = ( - f"【五分之一 {self.contract_symbol}】\n" - f"方向：无\n" - f"现价：{current_price:.2f}\n" - f"余额：{self.balance:.2f}" - ) - self.ding(msg) - - # ==================== 主循环 ==================== - - def action(self): - if not self.set_leverage(): - logger.error("杠杆设置失败") - return - if not self._open_browser(): - self.ding("打开浏览器失败！", error=True) - return - logger.info("浏览器打开成功") - self.close_extra_tabs() - self.page.get("https://derivatives.bitmart.com/zh-CN/futures/ETHUSDT") - time.sleep(2) - self.click_safe('x://button[normalize-space(text()) ="市价"]') - logger.info( - f"五分之一策略（3分钟K线）开始监测，间隔: {self.check_interval}秒" - ) - - last_report_time = 0 - report_interval = 300 - - while True: - for _ in range(5): - if self._open_browser(): - break - time.sleep(5) - else: - self.ding("打开浏览器失败！", error=True) - return - self.close_extra_tabs() - self.page.get("https://derivatives.bitmart.com/zh-CN/futures/ETHUSDT") - time.sleep(2) - self.click_safe('x://button[normalize-space(text()) ="市价"]') - - try: - kline_data = self.get_klines() - if not kline_data or len(kline_data) < 3: - logger.warning("K线数据不足...") - time.sleep(self.check_interval) - continue - - curr = kline_data[-1] - if not self.get_position_status(): - logger.warning("获取仓位失败，使用缓存") - - direction, trigger_price, valid_prev, curr_kline = ( - self.check_trigger(kline_data) - ) - - if direction: - curr_kline_id = curr_kline["id"] - if self.last_trade_kline_id == curr_kline_id: - self.last_trigger_kline_id = curr_kline_id - self.last_trigger_direction = direction - time.sleep(self.check_interval) - continue - - if (direction == "long" and self.start == 1) or ( - direction == "short" and self.start == -1 - ): - self.last_trigger_kline_id = curr_kline_id - self.last_trigger_direction = direction - time.sleep(self.check_interval) - continue - - balance = self.get_available_balance() - trade_size = (balance or 0) * self.risk_percent - executed = False - - if direction == "long": - if self.start == -1: - self.平仓() - time.sleep(1) - self.开单(marketPriceLongOrder=1, size=trade_size) - executed = True - elif self.start == 0: - self.开单(marketPriceLongOrder=1, size=trade_size) - executed = True - elif direction == "short": - if self.start == 1: - self.平仓() - time.sleep(1) - self.开单(marketPriceLongOrder=-1, size=trade_size) - executed = True - elif self.start == 0: - self.开单(marketPriceLongOrder=-1, size=trade_size) - executed = True - - self.last_trigger_kline_id = curr_kline_id - self.last_trigger_direction = direction - if executed: - self.last_trade_kline_id = curr_kline_id - self.get_position_status() - self._send_position_message(curr_kline) - last_report_time = time.time() - - if time.time() - last_report_time >= report_interval: - if self.get_position_status(): - self._send_position_message(kline_data[-1]) - last_report_time = time.time() - - time.sleep(self.check_interval) - - except Exception as e: - logger.error(f"主循环异常: {e}") - time.sleep(self.check_interval) - time.sleep(3) - if random.randint(1, 10) > 7: - self.page.close() - time.sleep(15) - - -if __name__ == "__main__": - try: - OpenBasedFifthStrategy(bit_id=BIT_ID).action() - except KeyboardInterrupt: - logger.info("程序被用户中断") - finally: - ding_executor.shutdown(wait=True) - logger.info("已退出") diff --git a/test1.py b/test1.py deleted file mode 100644 index 66700f4..0000000 --- a/test1.py +++ /dev/null @@ -1,1283 +0,0 @@ -import time -import uuid -import datetime -import requests -from typing import Tuple - -from tqdm import tqdm -from loguru import logger -from dataclasses import dataclass -from bitmart.api_contract import APIContract -from DrissionPage import ChromiumPage, ChromiumOptions -from bitmart.lib.cloud_exceptions import APIException - -from bit_tools import openBrowser -from 交易.tools import send_dingtalk_message - - -@dataclass -class StrategyConfig: - # ============================= - # 1m | ETH 永续 | 控止损≤5/日 - # ============================= - - # ===== 合约 ===== - contract_symbol: str = "ETHUSDT" - open_type: str = "cross" - leverage: str = "30" - - # ===== K线与指标 ===== - step_min: int = 1 - lookback_min: int = 240 - ema_len: int = 36 - atr_len: int = 14 - - # ========================================================= - # ✅ 自动阈值：ATR/Price 分位数基准（更稳，不被短时噪声带跑） - # ========================================================= - vol_baseline_window: int = 60 - vol_baseline_quantile: float = 0.65 - vol_scale_min: float = 0.80 - vol_scale_max: float = 1.60 - - # ✅ baseline 每 60 秒刷新一次（体感更明显、也省CPU） - base_ratio_refresh_sec: int = 60 - - # ========================================================= - # ✅ 动态 floor（方案一） - # floor = clamp(min, base_k * base_ratio, max) - # 目的：跟着典型波动变，过滤小噪声；tp/sl 也随环境自适应 - # ========================================================= - # entry_dev_floor 动态 - entry_dev_floor_min: float = 0.0012 # 0.12% - entry_dev_floor_max: float = 0.0030 # 0.30%（可按你偏好调） - entry_dev_floor_base_k: float = 1.10 # entry_floor = 1.10 * base_ratio - - # tp_floor 动态 - tp_floor_min: float = 0.0006 # 0.06% - tp_floor_max: float = 0.0020 # 0.20% - tp_floor_base_k: float = 0.55 # tp_floor = 0.55 * base_ratio（止盈别太大，1m回归更实际） - - # sl_floor 动态 - sl_floor_min: float = 0.0018 # 0.18% - sl_floor_max: float = 0.0060 # 0.60% - sl_floor_base_k: float = 1.35 # sl_floor = 1.35 * base_ratio（ETH 1m 插针多，止损下限可更稳） - - # ========================================================= - # ✅ 动态阈值倍率（仍然保留你原来思路） - # ========================================================= - entry_k: float = 1.45 - tp_k: float = 0.65 - sl_k: float = 1.05 - - # ===== 时间/冷却 ===== - max_hold_sec: int = 75 - cooldown_sec_after_exit: int = 20 - - # ===== 下单/仓位 ===== - risk_percent: float = 0.004 - min_size: int = 1 - max_size: int = 5000 - - # ===== 日内风控 ===== - daily_loss_limit: float = 0.02 - daily_profit_cap: float = 0.01 - - # ===== 危险模式过滤 ===== - atr_ratio_kill: float = 0.0038 - big_body_kill: float = 0.010 - - # ===== 轮询节奏 ===== - klines_refresh_sec: int = 10 - tick_refresh_sec: int = 1 - status_notify_sec: int = 60 - - # ========================================================= - # ✅ 止损后同向入场加门槛（但不禁止同向重入） - # ========================================================= - reentry_penalty_mult: float = 1.55 - reentry_penalty_max_sec: int = 180 - reset_band_k: float = 0.45 - reset_band_floor: float = 0.0006 - - # ========================================================= - # ✅ 止损后同方向 SL 放宽幅度与"止损时 vol_scale"联动 - # ========================================================= - post_sl_sl_max_sec: int = 90 - post_sl_mult_min: float = 1.02 - post_sl_mult_max: float = 1.16 - post_sl_vol_alpha: float = 0.20 - - # ========================================================= - # ✅ 正常平仓条件：价格回归到EMA附近时平仓 - # ========================================================= - normal_exit_threshold: float = 0.0003 # 0.03%，价格回归到EMA附近时平仓 - normal_exit_min_profit: float = 0.0002 # 0.02%，正常平仓最小盈利要求 - - # ========================================================= - # ✅ 手续费配置（固定10u，30倍杠杆） - # ========================================================= - fixed_margin: float = 10.0 # 固定每单10u保证金 - platform_fee_rate: float = 0.0005 # 平台手续费：开仓价值的万分之五 - rebate_rate: float = 0.90 # 返佣比例：90% - - -class BitmartFuturesMeanReversionBot: - def __init__(self, cfg: StrategyConfig, bit_id=None): - - self.bit_id = bit_id - - self.page: ChromiumPage | None = None - - self.cfg = cfg - - self.api_key = "a0fb7b98464fd9bcce67e7c519d58ec10d0c38a8" - self.secret_key = "4eaeba78e77aeaab1c2027f846a276d164f264a44c2c1bb1c5f3be50c8de1ca5" - self.memo = "合约交易" - - if not self.api_key or not self.secret_key: - raise RuntimeError("请先设置环境变量 BITMART_API_KEY / BITMART_SECRET_KEY / BITMART_MEMO(可选)") - - self.contractAPI = APIContract(self.api_key, self.secret_key, self.memo, timeout=(5, 15)) - - # 持仓状态: -1 空, 0 无, 1 多 - self.pos = 0 - self.entry_price = None - self.entry_ts = None - self.last_exit_ts = 0 - - # 开仓信息（用于手续费计算） - self.entry_margin = None # 开仓保证金（固定10u） - self.entry_position_value = None # 开仓时的仓位价值（保证金 * 杠杆） - - # 日内权益基准 - self.day_start_equity = None - self.trading_enabled = True - self.day_tag = datetime.date.today() - - # 缓存 - self._klines_cache = None - self._klines_cache_ts = 0 - self._last_status_notify_ts = 0 - - # ✅ base_ratio 缓存 - self._base_ratio_cached = 0.0015 # 初始化默认值 0.15% - self._base_ratio_ts = 0.0 - - # ✅ 止损后"同向入场加门槛"状态 - self.last_sl_dir = 0 # 1=多止损，-1=空止损，0=无 - self.last_sl_ts = 0.0 - - # ✅ 止损后"同方向 SL 联动放宽"状态 - self.post_sl_dir = 0 - self.post_sl_ts = 0.0 - self.post_sl_vol_scale = 1.0 # 记录止损时的 vol_scale - - self.pbar = tqdm(total=60, desc="运行中(秒)", ncols=90) - - logger.info(f"初始化完成，基准波动率默认值: {self._base_ratio_cached * 100:.4f}%") - - # ----------------- 通用工具 ----------------- - def ding(self, msg, error=False): - prefix = "❌bitmart：" if error else "🔔bitmart：" - if error: - for _ in range(1): - send_dingtalk_message(f"{prefix}{msg}") - else: - send_dingtalk_message(f"{prefix}{msg}") - - def set_leverage(self) -> bool: - try: - resp = self.contractAPI.post_submit_leverage( - contract_symbol=self.cfg.contract_symbol, - leverage=self.cfg.leverage, - open_type=self.cfg.open_type - )[0] - if resp.get("code") == 1000: - logger.success(f"设置杠杆成功：{self.cfg.open_type} + {self.cfg.leverage}x") - return True - logger.error(f"设置杠杆失败: {resp}") - self.ding(f"设置杠杆失败: {resp}", error=True) - return False - except Exception as e: - logger.error(f"设置杠杆异常: {e}") - self.ding(f"设置杠杆异常: {e}", error=True) - return False - - # ----------------- 行情/指标 ----------------- - def get_klines_cached(self): - now = time.time() - if self._klines_cache is not None and (now - self._klines_cache_ts) < self.cfg.klines_refresh_sec: - return self._klines_cache - - kl = self.get_klines() - if kl: - self._klines_cache = kl - self._klines_cache_ts = now - return self._klines_cache - - def get_klines(self): - try: - end_time = int(time.time()) - start_time = end_time - 60 * self.cfg.lookback_min - - resp = self.contractAPI.get_kline( - contract_symbol=self.cfg.contract_symbol, - step=self.cfg.step_min, - start_time=start_time, - end_time=end_time - )[0] - - if resp.get("code") != 1000: - logger.error(f"获取K线失败: {resp}") - return None - - data = resp.get("data", []) - formatted = [] - for k in data: - formatted.append({ - "id": int(k["timestamp"]), - "open": float(k["open_price"]), - "high": float(k["high_price"]), - "low": float(k["low_price"]), - "close": float(k["close_price"]), - }) - formatted.sort(key=lambda x: x["id"]) - return formatted - except Exception as e: - logger.error(f"获取K线异常: {e}") - self.ding(f"获取K线异常: {e}", error=True) - return None - - def get_last_price(self, fallback_close: float) -> float: - try: - if hasattr(self.contractAPI, "get_contract_details"): - r = self.contractAPI.get_contract_details(contract_symbol=self.cfg.contract_symbol)[0] - d = r.get("data") if isinstance(r, dict) else None - if isinstance(d, dict): - for key in ("last_price", "mark_price", "index_price"): - if key in d and d[key] is not None: - return float(d[key]) - - if hasattr(self.contractAPI, "get_ticker"): - r = self.contractAPI.get_ticker(contract_symbol=self.cfg.contract_symbol)[0] - d = r.get("data") if isinstance(r, dict) else None - if isinstance(d, dict): - for key in ("last_price", "price", "last", "close"): - if key in d and d[key] is not None: - return float(d[key]) - except Exception: - pass - - return float(fallback_close) - - @staticmethod - def ema(values, n: int) -> float: - k = 2 / (n + 1) - e = values[0] - for v in values[1:]: - e = v * k + e * (1 - k) - return e - - @staticmethod - def atr(klines, n: int) -> float: - if len(klines) < n + 1: - return 0.0 - trs = [] - for i in range(-n, 0): - cur = klines[i] - prev = klines[i - 1] - tr = max( - cur["high"] - cur["low"], - abs(cur["high"] - prev["close"]), - abs(cur["low"] - prev["close"]), - ) - trs.append(tr) - return sum(trs) / len(trs) - - def is_danger_market(self, klines, price: float) -> bool: - last = klines[-1] - body = abs(last["close"] - last["open"]) / last["open"] if last["open"] else 0.0 - if body >= self.cfg.big_body_kill: - return True - - a = self.atr(klines, self.cfg.atr_len) - atr_ratio = (a / price) if price > 0 else 0.0 - if atr_ratio >= self.cfg.atr_ratio_kill: - return True - - return False - - def atr_ratio_baseline(self, klines) -> float: - """简化版ATR基准计算""" - window = min(self.cfg.vol_baseline_window, len(klines) - self.cfg.atr_len - 1) - if window <= 10: # 数据太少 - logger.warning(f"数据不足计算基准: {len(klines)}根K线") - return 0.0 - - ratios = [] - - # 简化计算：每隔3根K线计算一个ATR比率（减少计算量） - step = 3 - for i in range(-window, 0, step): - if len(klines) + i < self.cfg.atr_len + 1: - continue - - # 计算当前位置的ATR - start_idx = len(klines) + i - self.cfg.atr_len - end_idx = len(klines) + i - - if start_idx < 0 or end_idx <= start_idx: - continue - - sub_klines = klines[start_idx:end_idx] - - # 确保有足够数据计算ATR - if len(sub_klines) >= self.cfg.atr_len + 1: - a = self.atr(sub_klines, self.cfg.atr_len) - price = klines[end_idx - 1]["close"] - - if a > 0 and price > 0: - ratio = a / price - if 0.0001 < ratio < 0.01: # 过滤异常值 - ratios.append(ratio) - - if len(ratios) < 5: # 样本太少 - # 尝试直接使用整个数据计算一个ATR比率 - a = self.atr(klines[-60:], self.cfg.atr_len) # 使用最近60根K线 - price = klines[-1]["close"] - if a > 0 and price > 0: - baseline = a / price - logger.debug(f"使用全量数据计算基准: {baseline * 100:.4f}%") - return baseline - else: - return 0.0 - - # 计算分位数 - ratios.sort() - idx = min(len(ratios) - 1, - max(0, int(self.cfg.vol_baseline_quantile * (len(ratios) - 1)))) - baseline = ratios[idx] - - logger.debug(f"基准计算: 样本数={len(ratios)}, 基准={baseline * 100:.4f}%, " - f"范围=[{ratios[0] * 100:.4f}%, {ratios[-1] * 100:.4f}%]") - - return baseline - - def get_base_ratio_cached(self, klines) -> float: - """获取缓存的基准波动率，定期刷新""" - now = time.time() - refresh_sec = self.cfg.base_ratio_refresh_sec - - if (self._base_ratio_cached is None or - (now - self._base_ratio_ts) >= refresh_sec): - - # 使用简单版本的基准计算 - baseline = self.atr_ratio_baseline(klines) - - if baseline > 0.0001: # 大于0.01%才认为是有效值 - self._base_ratio_cached = baseline - self._base_ratio_ts = now - logger.info(f"基准波动率更新: {baseline * 100:.4f}%") - else: - # 使用基于价格的动态默认值 - current_price = klines[-1]["close"] if klines else 3000 - # ETH价格越高，基准波动率越小（百分比） - if current_price > 4000: - default_baseline = 0.0010 # 0.10% - elif current_price > 3500: - default_baseline = 0.0012 # 0.12% - elif current_price > 3000: - default_baseline = 0.0015 # 0.15% - elif current_price > 2500: - default_baseline = 0.0018 # 0.18% - else: - default_baseline = 0.0020 # 0.20% - - self._base_ratio_cached = default_baseline - self._base_ratio_ts = now - logger.warning(f"使用价格动态默认基准: {default_baseline * 100:.4f}% " - f"(价格=${current_price:.0f})") - - return self._base_ratio_cached - - @staticmethod - def _clamp(x: float, lo: float, hi: float) -> float: - """限制数值在指定范围内""" - return max(lo, min(hi, x)) - - def dynamic_thresholds(self, atr_ratio: float, base_ratio: float): - """ - ✅ entry/tp/sl 全部动态（修复版）： - - vol_scale：atr_ratio/base_ratio 限幅 - - floor：方案一 (floor = clamp(min, k*base_ratio, max)) - - 最终阈值：max(floor, k * vol_scale * atr_ratio) - """ - # 1) 检查输入有效性 - if atr_ratio <= 0: - logger.warning(f"ATR比率异常: {atr_ratio}") - atr_ratio = 0.001 # 默认值 0.1% - - # 2) 如果base_ratio太小或无效，使用调整后的atr_ratio - if base_ratio < 0.0005: # 小于0.05%视为无效 - base_ratio = max(0.001, atr_ratio * 1.2) # 比当前ATR比率稍大 - logger.debug(f"基准太小，使用调整后的atr_ratio: {base_ratio * 100:.4f}%") - - # 3) vol_scale计算 - if base_ratio > 0: - raw_scale = atr_ratio / base_ratio - vol_scale = self._clamp(raw_scale, self.cfg.vol_scale_min, self.cfg.vol_scale_max) - logger.debug( - f"vol_scale: {raw_scale:.2f} → {vol_scale:.2f} (atr={atr_ratio * 100:.3f}%, base={base_ratio * 100:.3f}%)") - else: - vol_scale = 1.0 - logger.warning(f"基准无效，使用默认vol_scale=1.0") - - # 4) 动态floor计算 - # Entry floor - entry_floor_raw = self.cfg.entry_dev_floor_base_k * base_ratio - entry_floor = self._clamp( - entry_floor_raw, - self.cfg.entry_dev_floor_min, - self.cfg.entry_dev_floor_max, - ) - - # TP floor - tp_floor_raw = self.cfg.tp_floor_base_k * base_ratio - tp_floor = self._clamp( - tp_floor_raw, - self.cfg.tp_floor_min, - self.cfg.tp_floor_max, - ) - - # SL floor - sl_floor_raw = self.cfg.sl_floor_base_k * base_ratio - sl_floor = self._clamp( - sl_floor_raw, - self.cfg.sl_floor_min, - self.cfg.sl_floor_max, - ) - - # 5) 最终阈值计算 - entry_dev_atr_part = self.cfg.entry_k * vol_scale * atr_ratio - entry_dev = max(entry_floor, entry_dev_atr_part) - - tp_atr_part = self.cfg.tp_k * vol_scale * atr_ratio - tp = max(tp_floor, tp_atr_part) - - sl_atr_part = self.cfg.sl_k * vol_scale * atr_ratio - sl = max(sl_floor, sl_atr_part) - - # 6) 确保entry_dev不会太小 - entry_dev = max(entry_dev, self.cfg.entry_dev_floor_min) - - # 7) 输出详细信息 - logger.info( - f"动态阈值: atr={atr_ratio * 100:.4f}%, base={base_ratio * 100:.4f}%, " - f"vol_scale={vol_scale:.2f}, floor={entry_floor * 100:.4f}%, " - f"atr_part={entry_dev_atr_part * 100:.4f}%, 最终entry_dev={entry_dev * 100:.4f}%" - ) - - return entry_dev, tp, sl, vol_scale, entry_floor, tp_floor, sl_floor - - # ----------------- 账户/仓位 ----------------- - def get_assets_available(self) -> float: - try: - resp = self.contractAPI.get_assets_detail()[0] - if resp.get("code") != 1000: - return 0.0 - data = resp.get("data") - if isinstance(data, dict): - return float(data.get("available_balance", 0)) - if isinstance(data, list): - for asset in data: - if asset.get("currency") == "USDT": - return float(asset.get("available_balance", 0)) - return 0.0 - except Exception as e: - logger.error(f"余额查询异常: {e}") - return 0.0 - - def get_position_status(self) -> bool: - try: - resp = self.contractAPI.get_position(contract_symbol=self.cfg.contract_symbol)[0] - if resp.get("code") != 1000: - return False - - positions = resp.get("data", []) - if not positions: - self.pos = 0 - return True - - p = positions[0] - self.pos = 1 if p["position_type"] == 1 else -1 - return True - except Exception as e: - logger.error(f"持仓查询异常: {e}") - self.ding(f"持仓查询异常: {e}", error=True) - return False - - def get_equity_proxy(self) -> float: - return self.get_assets_available() - - def refresh_daily_baseline(self): - today = datetime.date.today() - if today != self.day_tag: - self.day_tag = today - self.day_start_equity = None - self.trading_enabled = True - self.ding(f"新的一天({today})：重置日内风控基准") - - def risk_kill_switch(self): - self.refresh_daily_baseline() - equity = self.get_equity_proxy() - if equity <= 0: - return - - if self.day_start_equity is None: - self.day_start_equity = equity - logger.info(f"日内权益基准设定：{equity:.2f} USDT") - return - - pnl = (equity - self.day_start_equity) / self.day_start_equity - if pnl <= -self.cfg.daily_loss_limit: - self.trading_enabled = False - self.ding(f"触发日止损：{pnl * 100:.2f}% -> 停机", error=True) - - if pnl >= self.cfg.daily_profit_cap: - self.trading_enabled = False - self.ding(f"达到日盈利封顶：{pnl * 100:.2f}% -> 停机") - - # ----------------- 下单 ----------------- - def calculate_size(self, price: float) -> int: - """ - 计算仓位大小 - 固定每单10u保证金，30倍杠杆 - """ - bal = self.get_assets_available() - if bal < self.cfg.fixed_margin: - logger.warning(f"余额不足：{bal:.2f} USDT < {self.cfg.fixed_margin} USDT") - return 0 - - # 固定保证金10u - margin = self.cfg.fixed_margin - lev = int(self.cfg.leverage) - - # ⚠️ 沿用你的原假设：1张≈0.001ETH - # 仓位价值 = 保证金 * 杠杆 = 10 * 30 = 300u - # size = 仓位价值 / (价格 * 0.001) - size = int((margin * lev) / (price * 0.001)) - size = max(self.cfg.min_size, size) - size = min(self.cfg.max_size, size) - - logger.info(f"计算仓位：保证金={margin}u, 杠杆={lev}x, 仓位价值={margin * lev}u, size={size}") - return size - - def place_market_order(self, side: int, size: int) -> bool: - """ - 【下单函数】实际执行下单操作 - side: 1=开多, 4=开空, 2=平多, 3=平空 - """ - if size <= 0: - return False - - try: - # 开多单 - if side == 1: - self.click_safe('x://button[normalize-space(text()) ="市价"]') - self.click_safe('x://button[normalize-space(text()) ="市价"]') - self.click_safe('x://button[normalize-space(text()) ="市价"]') - self.page.ele('x://*[@id="size_0"]').input(size, clear=True) - self.click_safe('x://span[normalize-space(text()) ="买入/做多"]') - logger.info(f"✅ 开多单: size={size}") - return True - - # 开空单 - elif side == 4: - self.click_safe('x://button[normalize-space(text()) ="市价"]') - self.click_safe('x://button[normalize-space(text()) ="市价"]') - self.click_safe('x://button[normalize-space(text()) ="市价"]') - self.page.ele('x://*[@id="size_0"]').input(size, clear=True) - self.click_safe('x://span[normalize-space(text()) ="卖出/做空"]') - logger.info(f"✅ 开空单: size={size}") - return True - - # 平多单（平多 = 卖出） - elif side == 2: - self.click_safe('x://button[normalize-space(text()) ="市价"]') - time.sleep(0.3) # 等待界面响应 - # 平仓时size可以设置大一些确保全部平仓 - self.page.ele('x://*[@id="size_0"]').input(size, clear=True) - time.sleep(0.3) - self.click_safe('x://span[normalize-space(text()) ="卖出/做空"]') - logger.info(f"✅ 平多单操作执行: size={size}") - return True - - # 平空单（平空 = 买入） - elif side == 3: - self.click_safe('x://button[normalize-space(text()) ="市价"]') - time.sleep(0.3) # 等待界面响应 - self.page.ele('x://*[@id="size_0"]').input(size, clear=True) - time.sleep(0.3) - self.click_safe('x://span[normalize-space(text()) ="买入/做多"]') - logger.info(f"✅ 平空单操作执行: size={size}") - return True - - else: - logger.error(f"未知的订单方向: side={side}") - return False - - except Exception as e: - logger.error(f"下单异常: {e}") - self.ding(f"下单异常: {e}", error=True) - return False - - def calculate_fee(self, position_value: float) -> float: - """ - 计算手续费 - 平台手续费 = 仓位价值 * 0.0005（万分之五） - 实际手续费 = 平台手续费 * (1 - 返佣比例) = 平台手续费 * 0.1 - """ - platform_fee = position_value * self.cfg.platform_fee_rate - actual_fee = platform_fee * (1 - self.cfg.rebate_rate) - return actual_fee - - def calculate_net_pnl(self, price: float) -> Tuple[float, float, float]: - """ - 计算扣除手续费后的净盈亏 - 返回: (净盈亏比例, 总手续费, 毛盈亏比例) - - 注意：在杠杆交易中，盈亏比例 = 杠杆倍数 * 价格变动比例 - 例如：30倍杠杆，价格涨1%，实际盈亏是30% - """ - if self.pos == 0 or self.entry_price is None or self.entry_margin is None or self.entry_position_value is None: - return 0.0, 0.0, 0.0 - - leverage = int(self.cfg.leverage) - - # 计算价格变动比例 - if self.pos == 1: - price_change_ratio = (price - self.entry_price) / self.entry_price - else: - price_change_ratio = (self.entry_price - price) / self.entry_price - - # 计算毛盈亏比例（考虑杠杆） - gross_pnl_ratio = leverage * price_change_ratio - - # 计算开仓手续费 - entry_fee = self.calculate_fee(self.entry_position_value) - - # 计算平仓手续费（使用当前价格计算平仓时的仓位价值） - # 平仓时的仓位价值 ≈ 开仓时的仓位价值（假设size不变） - exit_position_value = self.entry_position_value - exit_fee = self.calculate_fee(exit_position_value) - - # 总手续费 - total_fee = entry_fee + exit_fee - - # 手续费相对于保证金的比率 - fee_ratio = total_fee / self.entry_margin - - # 净盈亏 = 毛盈亏 - 手续费比率 - net_pnl_ratio = gross_pnl_ratio - fee_ratio - - return net_pnl_ratio, total_fee, gross_pnl_ratio - - def close_position_all(self) -> bool: - """ - 平掉所有持仓 - 重试机制：最多尝试3次，每次平仓后通过SDK验证是否成功 - 返回: True=平仓成功, False=平仓失败 - """ - if self.pos == 0: - logger.info("当前无持仓，无需平仓") - return True - - max_retries = 3 - retry_delay = 1.0 # 每次重试间隔1秒 - - for attempt in range(1, max_retries + 1): - logger.info(f"平仓尝试 {attempt}/{max_retries}...") - - # 记录平仓前的持仓状态 - old_pos = self.pos - - # 执行平仓操作 - if self.pos == 1: - # 平多单，使用side=2 - ok = self.place_market_order(2, 999999) - if not ok: - logger.warning(f"平多单操作失败 (尝试 {attempt}/{max_retries})") - if attempt < max_retries: - time.sleep(retry_delay) - continue - else: - self.ding(f"平多单失败：已重试{max_retries}次仍失败", error=True) - return False - elif self.pos == -1: - # 平空单，使用side=3 - ok = self.place_market_order(3, 999999) - if not ok: - logger.warning(f"平空单操作失败 (尝试 {attempt}/{max_retries})") - if attempt < max_retries: - time.sleep(retry_delay) - continue - else: - self.ding(f"平空单失败：已重试{max_retries}次仍失败", error=True) - return False - else: - logger.info("持仓状态异常，无需平仓") - return True - - # 等待订单执行 - time.sleep(1.5) # 等待订单执行 - - # 通过SDK验证是否平仓成功 - verify_success = self._verify_position_closed(old_pos) - - if verify_success: - # 平仓成功，清空状态 - self.pos = 0 - self.entry_margin = None - self.entry_position_value = None - logger.success(f"✅ 平仓成功 (尝试 {attempt}/{max_retries})") - return True - else: - # 平仓失败，准备重试 - logger.warning(f"平仓验证失败，持仓仍存在 (尝试 {attempt}/{max_retries})") - if attempt < max_retries: - time.sleep(retry_delay) - # 重新获取持仓状态 - self.get_position_status() - else: - self.ding(f"平仓失败：已重试{max_retries}次，持仓仍未平掉", error=True) - return False - - return False - - def _verify_position_closed(self, expected_old_pos: int) -> bool: - """ - 验证持仓是否已平仓 - 通过SDK查询持仓状态，确认是否真的平仓成功 - 返回: True=平仓成功, False=仍有持仓 - """ - try: - # 调用SDK查询持仓状态 - resp = self.contractAPI.get_position(contract_symbol=self.cfg.contract_symbol)[0] - - if resp.get("code") != 1000: - logger.warning(f"查询持仓状态失败: {resp}") - return False - - positions = resp.get("data", []) - - # 如果没有持仓，说明平仓成功 - if not positions or len(positions) == 0: - logger.info("✅ SDK验证：持仓已平仓") - return True - - # 检查持仓是否还存在 - # position_type: 1=多, 2=空 (根据get_position_status的逻辑) - for p in positions: - position_type = p.get("position_type", 0) - # 根据get_position_status的逻辑：1=多(pos=1), 其他=空(pos=-1) - current_pos = 1 if position_type == 1 else -1 - - if current_pos == expected_old_pos: - # 持仓仍然存在（与平仓前的方向一致） - logger.warning( - f"⚠️ SDK验证：持仓仍存在 (position_type={position_type}, 方向={'多' if current_pos == 1 else '空'})") - return False - - # 持仓已改变或不存在（平仓成功） - logger.info("✅ SDK验证：持仓已平仓或已改变") - return True - - except Exception as e: - logger.error(f"验证持仓状态异常: {e}") - # 验证失败时，保守处理：认为可能未平仓 - return False - - # ----------------- 止损后机制 ----------------- - def _reentry_penalty_active(self, dev: float, entry_dev: float) -> bool: - """检查是否需要应用重新入场惩罚""" - if self.last_sl_dir == 0: - return False - - if (time.time() - self.last_sl_ts) > self.cfg.reentry_penalty_max_sec: - self.last_sl_dir = 0 - return False - - reset_band = max(self.cfg.reset_band_floor, self.cfg.reset_band_k * entry_dev) - if abs(dev) <= reset_band: - self.last_sl_dir = 0 - return False - - return True - - def _post_sl_dynamic_mult(self) -> float: - """计算止损后SL放宽倍数""" - if self.post_sl_dir == 0: - return 1.0 - - if (time.time() - self.post_sl_ts) > self.cfg.post_sl_sl_max_sec: - self.post_sl_dir = 0 - self.post_sl_vol_scale = 1.0 - return 1.0 - - raw = 1.0 + self.cfg.post_sl_vol_alpha * (self.post_sl_vol_scale - 1.0) - raw = max(1.0, raw) # 不缩小止损，只放宽 - return max(self.cfg.post_sl_mult_min, min(self.cfg.post_sl_mult_max, raw)) - - # ----------------- 交易逻辑 ----------------- - def in_cooldown(self) -> bool: - """检查是否在冷却期内""" - return (time.time() - self.last_exit_ts) < self.cfg.cooldown_sec_after_exit - - def maybe_enter(self, price: float, ema_value: float, entry_dev: float): - """ - 检查并执行入场 - 【开单入口函数】此函数负责判断是否开单以及开单方向 - - 开多：价格低于EMA超过阈值时 - - 开空：价格高于EMA超过阈值时 - """ - if self.pos != 0: - return - if self.in_cooldown(): - return - - dev = (price - ema_value) / ema_value if ema_value else 0.0 - size = self.calculate_size(price) - if size <= 0: - return - - penalty_active = self._reentry_penalty_active(dev, entry_dev) - - long_th = -entry_dev - short_th = entry_dev - - if penalty_active: - if self.last_sl_dir == 1: - long_th = -entry_dev * self.cfg.reentry_penalty_mult - logger.info( - f"多头止损后惩罚生效: 入场阈值从 {long_th * 100:.3f}% 调整为 {(-entry_dev * self.cfg.reentry_penalty_mult) * 100:.3f}%") - elif self.last_sl_dir == -1: - short_th = entry_dev * self.cfg.reentry_penalty_mult - logger.info( - f"空头止损后惩罚生效: 入场阈值从 {short_th * 100:.3f}% 调整为 {(entry_dev * self.cfg.reentry_penalty_mult) * 100:.3f}%") - - logger.info( - f"入场检查: price={price:.2f}, ema={ema_value:.2f}, dev={dev * 100:.3f}% " - f"(entry_dev={entry_dev * 100:.3f}%, long_th={long_th * 100:.3f}%, short_th={short_th * 100:.3f}%) " - f"size={size}, penalty={penalty_active}, last_sl_dir={self.last_sl_dir}" - ) - - # ========== 【开单位置1】开多单 ========== - # 方向：多（做多，买入） - # 条件：价格偏离EMA向下超过阈值 (dev <= long_th) - if dev <= long_th: - if self.place_market_order(1, size): # side=1 表示开多 - self.pos = 1 - self.entry_price = price - self.entry_ts = time.time() - # 记录开仓信息（用于手续费计算） - self.entry_margin = self.cfg.fixed_margin - self.entry_position_value = self.entry_margin * int(self.cfg.leverage) - self.ding( - f"✅开多：dev={dev * 100:.3f}% size={size} entry={price:.2f} margin={self.entry_margin}u value={self.entry_position_value}u") - - # ========== 【开单位置2】开空单 ========== - # 方向：空（做空，卖出） - # 条件：价格偏离EMA向上超过阈值 (dev >= short_th) - elif dev >= short_th: - if self.place_market_order(4, size): # side=4 表示开空 - self.pos = -1 - self.entry_price = price - self.entry_ts = time.time() - # 记录开仓信息（用于手续费计算） - self.entry_margin = self.cfg.fixed_margin - self.entry_position_value = self.entry_margin * int(self.cfg.leverage) - self.ding( - f"✅开空：dev={dev * 100:.3f}% size={size} entry={price:.2f} margin={self.entry_margin}u value={self.entry_position_value}u") - - def maybe_exit(self, price: float, ema_value: float, tp: float, sl: float, vol_scale: float): - """ - 检查并执行出场 - 【平仓函数】包含四种平仓条件，所有平仓都会考虑手续费： - 1. 正常平仓：价格回归到EMA附近时平仓（扣除手续费后仍有盈利） - 2. 止盈：达到止盈阈值（扣除手续费后仍有盈利） - 3. 止损：达到止损阈值 - 4. 超时平仓：持仓时间超过限制（扣除手续费后仍有盈利） - """ - if self.pos == 0 or self.entry_price is None or self.entry_ts is None: - return - - hold = time.time() - self.entry_ts - - # 计算毛盈亏和净盈亏（扣除手续费后） - # calculate_net_pnl已经考虑了杠杆倍数 - net_pnl, total_fee, gross_pnl = self.calculate_net_pnl(price) - - # 计算价格偏离EMA的程度 - dev = (price - ema_value) / ema_value if ema_value else 0.0 - - # 计算止损倍数（考虑止损后放宽） - sl_mult = 1.0 - if self.post_sl_dir == self.pos and self.post_sl_dir != 0: - sl_mult = self._post_sl_dynamic_mult() - effective_sl = sl * sl_mult - - # ========== 【平仓条件1】正常平仓：价格回归到EMA附近 ========== - # 这是均值回归策略的核心：当价格回归到EMA附近时，说明均值回归已经完成，应该平仓 - # 但必须扣除手续费后仍有盈利才平仓 - if abs(dev) <= self.cfg.normal_exit_threshold: - if net_pnl > 0: # 扣除手续费后仍有盈利 - if self.close_position_all(): - self.ding( - f"📊正常平仓：价格回归EMA附近 dev={dev * 100:.3f}% " - f"毛盈亏={gross_pnl * 100:.3f}% 净盈亏={net_pnl * 100:.3f}% " - f"手续费={total_fee:.4f}u price={price:.2f}" - ) - self.entry_price, self.entry_ts = None, None - self.entry_margin, self.entry_position_value = None, None - self.last_exit_ts = time.time() - return - else: - logger.error("正常平仓失败，持仓可能仍存在") - # 平仓失败时不更新状态，下次循环会继续尝试 - return - - # ========== 【平仓条件2】止盈 ========== - # 达到止盈阈值，且扣除手续费后仍有盈利 - if gross_pnl >= tp: - if net_pnl > 0: # 扣除手续费后仍有盈利 - if self.close_position_all(): - self.ding( - f"🎯止盈：毛盈亏={gross_pnl * 100:.3f}% 净盈亏={net_pnl * 100:.3f}% " - f"手续费={total_fee:.4f}u price={price:.2f} tp={tp * 100:.3f}%" - ) - self.entry_price, self.entry_ts = None, None - self.entry_margin, self.entry_position_value = None, None - self.last_exit_ts = time.time() - return - else: - logger.error("止盈平仓失败，持仓可能仍存在") - return - - # ========== 【平仓条件3】止损 ========== - # 止损使用毛盈亏判断（因为止损是风险控制，即使扣除手续费后亏损也要止损） - if gross_pnl <= -effective_sl: - sl_dir = self.pos - - if self.close_position_all(): - self.ding( - f"🛑止损：毛盈亏={gross_pnl * 100:.3f}% 净盈亏={net_pnl * 100:.3f}% " - f"手续费={total_fee:.4f}u price={price:.2f} " - f"sl={sl * 100:.3f}% effective_sl={effective_sl * 100:.3f}%(×{sl_mult:.2f})", - error=True - ) - - self.last_sl_dir = sl_dir - self.last_sl_ts = time.time() - - self.post_sl_dir = sl_dir - self.post_sl_ts = time.time() - self.post_sl_vol_scale = float(vol_scale) - - self.entry_price, self.entry_ts = None, None - self.entry_margin, self.entry_position_value = None, None - self.last_exit_ts = time.time() - return - else: - logger.error("止损平仓失败，持仓可能仍存在，风险较高！") - self.ding("⚠️ 止损平仓失败，请手动检查持仓！", error=True) - # 即使平仓失败，也更新止损状态，避免重复触发 - self.last_sl_dir = sl_dir - self.last_sl_ts = time.time() - return - - # ========== 【平仓条件4】超时平仓 ========== - # 超时平仓也要考虑手续费，只有扣除手续费后仍有盈利才平仓 - if hold >= self.cfg.max_hold_sec: - if net_pnl > 0: # 扣除手续费后仍有盈利 - if self.close_position_all(): - self.ding( - f"⏱超时：hold={int(hold)}s 毛盈亏={gross_pnl * 100:.3f}% " - f"净盈亏={net_pnl * 100:.3f}% 手续费={total_fee:.4f}u price={price:.2f}" - ) - self.entry_price, self.entry_ts = None, None - self.entry_margin, self.entry_position_value = None, None - self.last_exit_ts = time.time() - return - else: - logger.error("超时平仓失败，持仓可能仍存在") - return - else: - # 超时但扣除手续费后亏损，继续持有等待盈利 - logger.debug( - f"⏱超时但净盈亏为负，继续持有：hold={int(hold)}s " - f"毛盈亏={gross_pnl * 100:.3f}% 净盈亏={net_pnl * 100:.3f}%" - ) - - def notify_status_throttled(self, price: float, ema_value: float, dev: float, bal: float, - atr_ratio: float, base_ratio: float, vol_scale: float, - entry_dev: float, tp: float, sl: float, - entry_floor: float, tp_floor: float, sl_floor: float): - """限频状态通知""" - now = time.time() - if (now - self._last_status_notify_ts) < self.cfg.status_notify_sec: - return - self._last_status_notify_ts = now - - direction_str = "多" if self.pos == 1 else ("空" if self.pos == -1 else "无") - penalty_active = self._reentry_penalty_active(dev, entry_dev) - - sl_mult = 1.0 - if self.pos != 0 and self.post_sl_dir == self.pos: - sl_mult = self._post_sl_dynamic_mult() - - base_age = int(now - self._base_ratio_ts) if self._base_ratio_ts else -1 - - # 计算当前盈亏（如果有持仓） - current_gross_pnl = 0.0 - current_net_pnl = 0.0 - current_fee = 0.0 - if self.pos != 0 and self.entry_price: - current_net_pnl, current_fee, current_gross_pnl = self.calculate_net_pnl(price) - - msg = ( - f"【BitMart {self.cfg.contract_symbol}｜1m均值回归(动态阈值)】\n" - f"📊 状态：{direction_str}\n" - f"💰 现价：{price:.2f} | EMA{self.cfg.ema_len}：{ema_value:.2f}\n" - f"📈 偏离：{dev * 100:.3f}% (入场阈值：±{entry_dev * 100:.3f}%)\n" - f"🌊 波动率：ATR比={atr_ratio * 100:.3f}% | 基准={base_ratio * 100:.3f}% | 缩放={vol_scale:.2f}\n" - f"🎯 动态Floor：入场={entry_floor * 100:.3f}% | 止盈={tp_floor * 100:.3f}% | 止损={sl_floor * 100:.3f}%\n" - f"💰 止盈/止损：{tp * 100:.3f}% / {sl * 100:.3f}% (盈亏比：{tp / sl:.2f})\n" - f"📊 正常平仓阈值：±{self.cfg.normal_exit_threshold * 100:.3f}%\n" - f"🔄 基准刷新：{self.cfg.base_ratio_refresh_sec}s (已过={base_age}s)\n" - f"⚠️ 止损同向加门槛：{'开启' if penalty_active else '关闭'} (方向={self.last_sl_dir})\n" - f"💳 可用余额：{bal:.2f} USDT | 杠杆：{self.cfg.leverage}x | 固定保证金：{self.cfg.fixed_margin}u\n" - ) - - if self.pos != 0 and self.entry_price is not None and self.entry_position_value is not None: - msg += ( - f"📈 当前盈亏：毛盈亏={current_gross_pnl * 100:.3f}% | " - f"净盈亏={current_net_pnl * 100:.3f}% | " - f"手续费={current_fee:.4f}u\n" - f"📍 入场价：{self.entry_price:.2f} | " - f"仓位价值：{self.entry_position_value:.2f}u\n" - ) - - msg += f"⏱️ 持仓限制：{self.cfg.max_hold_sec}s | 冷却：{self.cfg.cooldown_sec_after_exit}s" - - self.ding(msg) - - def openBrowser(self): - """打开 TGE 对应浏览器实例""" - try: - bit_port = openBrowser(id=self.bit_id) - co = ChromiumOptions() - co.set_local_port(port=bit_port) - - self.page = ChromiumPage(addr_or_opts=co) - return True - except: - return False - - def take_over_browser(self): - """接管浏览器""" - try: - co = ChromiumOptions() - co.set_local_port(self.tge_port) - self.page = ChromiumPage(addr_or_opts=co) - self.page.set.window.max() - return True - except: - return False - - def close_extra_tabs(self): - """关闭多余 tab""" - try: - for idx, tab in enumerate(self.page.get_tabs()): - if idx > 0: - tab.close() - return True - except: - return False - - def click_safe(self, xpath, sleep=0.5): - """安全点击""" - try: - ele = self.page.ele(xpath) - if not ele: - return False - ele.scroll.to_see(center=True) - time.sleep(sleep) - ele.click() - return True - except: - return False - - def 平仓(self): - self.click_safe('x://span[normalize-space(text()) ="市价"]') - - def 开单(self, marketPriceLongOrder=0, limitPriceShortOrder=0, size=None, price=None): - """ - marketPriceLongOrder 市价最多或者做空，1是做多，-1是做空 - limitPriceShortOrder 限价最多或者做空 - """ - - if marketPriceLongOrder == -1: - self.click_safe('x://button[normalize-space(text()) ="市价"]') - self.page.ele('x://*[@id="size_0"]').input(size) - self.click_safe('x://span[normalize-space(text()) ="卖出/做空"]') - elif marketPriceLongOrder == 1: - self.click_safe('x://button[normalize-space(text()) ="市价"]') - self.page.ele('x://*[@id="size_0"]').input(size) - self.click_safe('x://span[normalize-space(text()) ="买入/做多"]') - - if limitPriceShortOrder == -1: - self.click_safe('x://button[normalize-space(text()) ="限价"]') - self.page.ele('x://*[@id="price_0"]').input(vals=price, clear=True) - time.sleep(1) - self.page.ele('x://*[@id="size_0"]').input(1) - self.click_safe('x://span[normalize-space(text()) ="卖出/做空"]') - elif limitPriceShortOrder == 1: - self.click_safe('x://button[normalize-space(text()) ="限价"]') - self.page.ele('x://*[@id="price_0"]').input(vals=price, clear=True) - time.sleep(1) - self.page.ele('x://*[@id="size_0"]').input(1) - self.click_safe('x://span[normalize-space(text()) ="买入/做多"]') - - def action(self): - """主循环""" - if not self.set_leverage(): - self.ding("杠杆设置失败，停止运行", error=True) - return - - # 1. 打开浏览器 - if not self.openBrowser(): - self.ding("打开 TGE 失败！", error=True) - return - logger.info("TGE 端口获取成功") - - # # 2. 接管浏览器 - # if not self.take_over_browser(): - # self.ding("接管浏览器失败！", error=True) - # return - logger.info("浏览器接管成功") - self.page.get("https://derivatives.bitmart.com/zh-CN/futures/ETHUSDT") - - while True: - now_dt = datetime.datetime.now() - self.pbar.n = now_dt.second - self.pbar.refresh() - - # 1. 获取K线数据 - klines = self.get_klines_cached() - if not klines or len(klines) < (self.cfg.ema_len + 5): - logger.warning("K线数据不足，等待...") - time.sleep(1) - continue - - # 2. 计算技术指标 - last_k = klines[-1] - closes = [k["close"] for k in klines[-(self.cfg.ema_len + 1):]] - ema_value = self.ema(closes, self.cfg.ema_len) - - price = self.get_last_price(fallback_close=float(last_k["close"])) - dev = (price - ema_value) / ema_value if ema_value else 0.0 - - # 3. 计算波动率相关指标 - a = self.atr(klines, self.cfg.atr_len) - atr_ratio = (a / price) if price > 0 else 0.0 - - base_ratio = self.get_base_ratio_cached(klines) - - # 4. 计算动态阈值 - entry_dev, tp, sl, vol_scale, entry_floor, tp_floor, sl_floor = self.dynamic_thresholds( - atr_ratio, base_ratio - ) - - # 记录调试信息 - logger.debug( - f"循环数据: price={price:.2f}, ema={ema_value:.2f}, dev={dev * 100:.3f}%, " - f"atr_ratio={atr_ratio * 100:.3f}%, base_ratio={base_ratio * 100:.3f}%, " - f"entry_dev={entry_dev * 100:.3f}%" - ) - - # 5. 风控检查 - self.risk_kill_switch() - - # 6. 获取持仓状态 - if not self.get_position_status(): - time.sleep(1) - continue - - # 7. 检查交易是否启用 - if not self.trading_enabled: - if self.pos != 0: - if self.close_position_all(): - logger.info("交易被禁用，已平仓") - else: - logger.error("交易被禁用，但平仓失败，请手动检查！") - self.ding("⚠️ 交易被禁用但平仓失败，请手动检查持仓！", error=True) - logger.warning("交易被禁用（风控触发），等待...") - time.sleep(5) - continue - - # 8. 检查危险市场 - if self.is_danger_market(klines, price): - logger.warning("危险模式：高波动/大实体K，暂停开仓") - self.maybe_exit(price, ema_value, tp, sl, vol_scale) - time.sleep(self.cfg.tick_refresh_sec) - continue - - # 9. 执行交易逻辑 - # 先检查平仓（包括正常平仓、止盈、止损） - self.maybe_exit(price, ema_value, tp, sl, vol_scale) - # 再检查开仓 - self.maybe_enter(price, ema_value, entry_dev) - - # 10. 状态通知 - bal = self.get_assets_available() - self.notify_status_throttled( - price, ema_value, dev, bal, - atr_ratio, base_ratio, vol_scale, - entry_dev, tp, sl, - entry_floor, tp_floor, sl_floor - ) - - time.sleep(self.cfg.tick_refresh_sec) - - -if __name__ == "__main__": - """ - Windows PowerShell: - setx BITMART_API_KEY "你的key" - setx BITMART_SECRET_KEY "你的secret" - setx BITMART_MEMO "合约交易" - 重新打开终端再运行。 - - Linux/macOS: - export BITMART_API_KEY="你的key" - export BITMART_SECRET_KEY="你的secret" - export BITMART_MEMO "合约交易" - """ - cfg = StrategyConfig() - bot = BitmartFuturesMeanReversionBot(cfg, bit_id="f2320f57e24c45529a009e1541e25961") - - # 设置日志级别为INFO以便查看详细计算过程 - logger.remove() - logger.add(lambda msg: tqdm.write(msg, end=""), level="INFO") - - try: - bot.action() - except KeyboardInterrupt: - logger.info("程序被用户中断") - bot.ding("🤖 策略已手动停止") - except Exception as e: - logger.error(f"程序异常退出: {e}") - bot.ding(f"❌ 策略异常退出: {e}", error=True) - raise - diff --git a/test2.py b/test2.py deleted file mode 100644 index 85da5f0..0000000 --- a/test2.py +++ /dev/null @@ -1,949 +0,0 @@ -import os -import time -import uuid -import datetime -from dataclasses import dataclass - -from tqdm import tqdm -from loguru import logger - -from bitmart.api_contract import APIContract -from bitmart.lib.cloud_exceptions import APIException - -from 交易.tools import send_dingtalk_message - - -@dataclass -class StrategyConfig: - # ============================= - # 1m | ETH 永续 | 控止损≤5/日 - # ============================= - - # ===== 合约 ===== - contract_symbol: str = "ETHUSDT" - open_type: str = "cross" - leverage: str = "30" - - # ===== K线与指标 ===== - step_min: int = 1 - lookback_min: int = 240 - ema_len: int = 36 - atr_len: int = 14 - - # ===== ADX 趋势过滤（新增）===== - # 目的：单边趋势（ADX高）时，抑制/禁止逆势均值回归单，避免反复反向开仓止损 - enable_adx_filter: bool = True - adx_len: int = 14 - adx_threshold: float = 25.0 # 常用：20~30区间，你可按回测调整 - # 过滤模式： - # - "block_countertrend": 只禁止逆着 DI 的方向开仓（推荐，既防反手又不完全停机） - # - "block_all": ADX 高时直接不允许任何新开仓（更保守） - adx_mode: str = "block_countertrend" - # 趋势保护冷却：当 ADX 高且刚止损，延长冷却，减少“止损->立刻反手”的连环 - cooldown_sec_after_sl_extra: int = 40 - - # ========================================================= - # ✅ 自动阈值：ATR/Price 分位数基准（更稳，不被短时噪声带跑） - # ========================================================= - vol_baseline_window: int = 60 - vol_baseline_quantile: float = 0.65 - vol_scale_min: float = 0.80 - vol_scale_max: float = 1.60 - - # ✅ baseline 每 60 秒刷新一次（体感更明显、也省CPU） - base_ratio_refresh_sec: int = 180 - - # ========================================================= - # ✅ 动态 floor（方案一） - # floor = clamp(min, base_k * base_ratio, max) - # 目的：跟着典型波动变，过滤小噪声；tp/sl 也随环境自适应 - # ========================================================= - # entry_dev_floor 动态 - entry_dev_floor_min: float = 0.0012 # 0.12% - entry_dev_floor_max: float = 0.0030 # 0.30% - entry_dev_floor_base_k: float = 1.10 # entry_floor = 1.10 * base_ratio - - # tp_floor 动态 - tp_floor_min: float = 0.0006 # 0.06% - tp_floor_max: float = 0.0020 # 0.20% - tp_floor_base_k: float = 0.55 # tp_floor = 0.55 * base_ratio - - # sl_floor 动态 - sl_floor_min: float = 0.0018 # 0.18% - sl_floor_max: float = 0.0060 # 0.60% - sl_floor_base_k: float = 1.35 # sl_floor = 1.35 * base_ratio - - # ========================================================= - # ✅ 动态阈值倍率 - # ========================================================= - entry_k: float = 1.45 - tp_k: float = 0.65 - sl_k: float = 1.05 - - # ===== 时间/冷却 ===== - max_hold_sec: int = 75 - cooldown_sec_after_exit: int = 20 - - # ===== 下单/仓位 ===== - risk_percent: float = 0.004 - min_size: int = 1 - max_size: int = 5000 - - # ===== 日内风控 ===== - daily_loss_limit: float = 0.02 - daily_profit_cap: float = 0.01 - - # ===== 危险模式过滤 ===== - atr_ratio_kill: float = 0.0038 - big_body_kill: float = 0.010 - - # ===== 轮询节奏 ===== - klines_refresh_sec: int = 10 - tick_refresh_sec: int = 1 - status_notify_sec: int = 60 - - # ========================================================= - # ✅ 止损后同向入场加门槛（你原来的逻辑保留） - # ========================================================= - reentry_penalty_mult: float = 1.55 - reentry_penalty_max_sec: int = 180 - reset_band_k: float = 0.45 - reset_band_floor: float = 0.0006 - - # ========================================================= - # ✅ 止损后同方向 SL 放宽幅度与"止损时 vol_scale"联动 - # ========================================================= - post_sl_sl_max_sec: int = 90 - post_sl_mult_min: float = 1.02 - post_sl_mult_max: float = 1.16 - post_sl_vol_alpha: float = 0.20 - - -class BitmartFuturesMeanReversionBot: - def __init__(self, cfg: StrategyConfig): - self.cfg = cfg - - self.api_key = os.getenv("BITMART_API_KEY", "").strip() - self.secret_key = os.getenv("BITMART_SECRET_KEY", "").strip() - self.memo = os.getenv("BITMART_MEMO", "合约交易").strip() - - if not self.api_key or not self.secret_key: - raise RuntimeError("请先设置环境变量 BITMART_API_KEY / BITMART_SECRET_KEY / BITMART_MEMO(可选)") - - self.contractAPI = APIContract(self.api_key, self.secret_key, self.memo, timeout=(5, 15)) - - # 持仓状态: -1 空, 0 无, 1 多 - self.pos = 0 - self.entry_price = None - self.entry_ts = None - self.last_exit_ts = 0 - - # 日内权益基准 - self.day_start_equity = None - self.trading_enabled = True - self.day_tag = datetime.date.today() - - # 缓存 - self._klines_cache = None - self._klines_cache_ts = 0 - self._last_status_notify_ts = 0 - - # ✅ base_ratio 缓存 - self._base_ratio_cached = 0.0015 # 初始化默认值 0.15% - self._base_ratio_ts = 0.0 - - # ✅ 止损后"同向入场加门槛"状态 - self.last_sl_dir = 0 # 1=多止损，-1=空止损，0=无 - self.last_sl_ts = 0.0 - - # ✅ 止损后"同方向 SL 联动放宽"状态 - self.post_sl_dir = 0 - self.post_sl_ts = 0.0 - self.post_sl_vol_scale = 1.0 # 记录止损时的 vol_scale - - self.pbar = tqdm(total=60, desc="运行中(秒)", ncols=90) - logger.info(f"初始化完成，基准波动率默认值: {self._base_ratio_cached * 100:.4f}%") - - # ----------------- 通用工具 ----------------- - def ding(self, msg, error=False): - prefix = "❌bitmart：" if error else "🔔bitmart：" - if error: - for _ in range(3): - send_dingtalk_message(f"{prefix}{msg}") - else: - send_dingtalk_message(f"{prefix}{msg}") - - def set_leverage(self) -> bool: - try: - resp = self.contractAPI.post_submit_leverage( - contract_symbol=self.cfg.contract_symbol, - leverage=self.cfg.leverage, - open_type=self.cfg.open_type - )[0] - if resp.get("code") == 1000: - logger.success(f"设置杠杆成功：{self.cfg.open_type} + {self.cfg.leverage}x") - return True - logger.error(f"设置杠杆失败: {resp}") - self.ding(f"设置杠杆失败: {resp}", error=True) - return False - except Exception as e: - logger.error(f"设置杠杆异常: {e}") - self.ding(f"设置杠杆异常: {e}", error=True) - return False - - # ----------------- 行情/指标 ----------------- - def get_klines_cached(self): - now = time.time() - if self._klines_cache is not None and (now - self._klines_cache_ts) < self.cfg.klines_refresh_sec: - return self._klines_cache - - kl = self.get_klines() - if kl: - self._klines_cache = kl - self._klines_cache_ts = now - return self._klines_cache - - def get_klines(self): - try: - end_time = int(time.time()) - start_time = end_time - 60 * self.cfg.lookback_min - - resp = self.contractAPI.get_kline( - contract_symbol=self.cfg.contract_symbol, - step=self.cfg.step_min, - start_time=start_time, - end_time=end_time - )[0] - - if resp.get("code") != 1000: - logger.error(f"获取K线失败: {resp}") - return None - - data = resp.get("data", []) - formatted = [] - for k in data: - formatted.append({ - "id": int(k["timestamp"]), - "open": float(k["open_price"]), - "high": float(k["high_price"]), - "low": float(k["low_price"]), - "close": float(k["close_price"]), - }) - formatted.sort(key=lambda x: x["id"]) - return formatted - except Exception as e: - logger.error(f"获取K线异常: {e}") - self.ding(f"获取K线异常: {e}", error=True) - return None - - def get_last_price(self, fallback_close: float) -> float: - try: - if hasattr(self.contractAPI, "get_contract_details"): - r = self.contractAPI.get_contract_details(contract_symbol=self.cfg.contract_symbol)[0] - d = r.get("data") if isinstance(r, dict) else None - if isinstance(d, dict): - for key in ("last_price", "mark_price", "index_price"): - if key in d and d[key] is not None: - return float(d[key]) - - if hasattr(self.contractAPI, "get_ticker"): - r = self.contractAPI.get_ticker(contract_symbol=self.cfg.contract_symbol)[0] - d = r.get("data") if isinstance(r, dict) else None - if isinstance(d, dict): - for key in ("last_price", "price", "last", "close"): - if key in d and d[key] is not None: - return float(d[key]) - except Exception: - pass - - return float(fallback_close) - - @staticmethod - def ema(values, n: int) -> float: - k = 2 / (n + 1) - e = values[0] - for v in values[1:]: - e = v * k + e * (1 - k) - return e - - @staticmethod - def atr(klines, n: int) -> float: - if len(klines) < n + 1: - return 0.0 - trs = [] - for i in range(-n, 0): - cur = klines[i] - prev = klines[i - 1] - tr = max( - cur["high"] - cur["low"], - abs(cur["high"] - prev["close"]), - abs(cur["low"] - prev["close"]), - ) - trs.append(tr) - return sum(trs) / len(trs) - - @staticmethod - def _wilder_smooth(prev: float, val: float, n: int) -> float: - # Wilder smoothing: prev - prev/n + val - return prev - (prev / n) + val - - def adx(self, klines, n: int): - """ - 返回 (adx, plus_di, minus_di) - 采用经典 Wilder ADX/DI 计算（足够稳，避免趋势期逆势反复开仓） - """ - if len(klines) < (2 * n + 2): - return 0.0, 0.0, 0.0 - - highs = [k["high"] for k in klines] - lows = [k["low"] for k in klines] - closes = [k["close"] for k in klines] - - # 计算 TR, +DM, -DM 序列（从1开始） - tr_list = [] - pdm_list = [] - mdm_list = [] - - for i in range(1, len(klines)): - high = highs[i] - low = lows[i] - prev_close = closes[i - 1] - prev_high = highs[i - 1] - prev_low = lows[i - 1] - - tr = max(high - low, abs(high - prev_close), abs(low - prev_close)) - up_move = high - prev_high - down_move = prev_low - low - - pdm = up_move if (up_move > down_move and up_move > 0) else 0.0 - mdm = down_move if (down_move > up_move and down_move > 0) else 0.0 - - tr_list.append(tr) - pdm_list.append(pdm) - mdm_list.append(mdm) - - # 初始平滑值（第一个n段的和） - tr14 = sum(tr_list[:n]) - pdm14 = sum(pdm_list[:n]) - mdm14 = sum(mdm_list[:n]) - - def safe_div(a, b): - return (a / b) if b != 0 else 0.0 - - plus_di = 100.0 * safe_div(pdm14, tr14) - minus_di = 100.0 * safe_div(mdm14, tr14) - dx = 100.0 * safe_div(abs(plus_di - minus_di), (plus_di + minus_di)) - dx_list = [dx] - - # 继续平滑并计算后续 DX - for i in range(n, len(tr_list)): - tr14 = self._wilder_smooth(tr14, tr_list[i], n) - pdm14 = self._wilder_smooth(pdm14, pdm_list[i], n) - mdm14 = self._wilder_smooth(mdm14, mdm_list[i], n) - - plus_di = 100.0 * safe_div(pdm14, tr14) - minus_di = 100.0 * safe_div(mdm14, tr14) - dx = 100.0 * safe_div(abs(plus_di - minus_di), (plus_di + minus_di)) - dx_list.append(dx) - - # ADX 是 DX 的 Wilder 平滑，常见做法：先取前 n 个 DX 的均值作为初值 - if len(dx_list) < (n + 1): - return 0.0, plus_di, minus_di - - adx0 = sum(dx_list[:n]) / n - adx_val = adx0 - for j in range(n, len(dx_list)): - adx_val = (adx_val * (n - 1) + dx_list[j]) / n - - return float(adx_val), float(plus_di), float(minus_di) - - def is_danger_market(self, klines, price: float) -> bool: - last = klines[-1] - body = abs(last["close"] - last["open"]) / last["open"] if last["open"] else 0.0 - if body >= self.cfg.big_body_kill: - return True - - a = self.atr(klines, self.cfg.atr_len) - atr_ratio = (a / price) if price > 0 else 0.0 - if atr_ratio >= self.cfg.atr_ratio_kill: - return True - - return False - - def atr_ratio_baseline(self, klines) -> float: - """简化版ATR基准计算""" - window = min(self.cfg.vol_baseline_window, len(klines) - self.cfg.atr_len - 1) - if window <= 10: - logger.warning(f"数据不足计算基准: {len(klines)}根K线") - return 0.0 - - ratios = [] - step = 3 - for i in range(-window, 0, step): - if len(klines) + i < self.cfg.atr_len + 1: - continue - - start_idx = len(klines) + i - self.cfg.atr_len - end_idx = len(klines) + i - if start_idx < 0 or end_idx <= start_idx: - continue - - sub_klines = klines[start_idx:end_idx] - if len(sub_klines) >= self.cfg.atr_len + 1: - a = self.atr(sub_klines, self.cfg.atr_len) - price = klines[end_idx - 1]["close"] - if a > 0 and price > 0: - ratio = a / price - if 0.0001 < ratio < 0.01: - ratios.append(ratio) - - if len(ratios) < 5: - a = self.atr(klines[-60:], self.cfg.atr_len) - price = klines[-1]["close"] - if a > 0 and price > 0: - baseline = a / price - logger.debug(f"使用全量数据计算基准: {baseline * 100:.4f}%") - return baseline - return 0.0 - - ratios.sort() - idx = min(len(ratios) - 1, max(0, int(self.cfg.vol_baseline_quantile * (len(ratios) - 1)))) - baseline = ratios[idx] - logger.debug( - f"基准计算: 样本数={len(ratios)}, 基准={baseline * 100:.4f}%, " - f"范围=[{ratios[0] * 100:.4f}%, {ratios[-1] * 100:.4f}%]" - ) - return baseline - - def get_base_ratio_cached(self, klines) -> float: - """获取缓存的基准波动率，定期刷新""" - now = time.time() - refresh_sec = self.cfg.base_ratio_refresh_sec - - if (self._base_ratio_cached is None or (now - self._base_ratio_ts) >= refresh_sec): - baseline = self.atr_ratio_baseline(klines) - if baseline > 0.0001: - self._base_ratio_cached = baseline - self._base_ratio_ts = now - logger.info(f"基准波动率更新: {baseline * 100:.4f}%") - else: - current_price = klines[-1]["close"] if klines else 3000 - if current_price > 4000: - default_baseline = 0.0010 - elif current_price > 3500: - default_baseline = 0.0012 - elif current_price > 3000: - default_baseline = 0.0015 - elif current_price > 2500: - default_baseline = 0.0018 - else: - default_baseline = 0.0020 - - self._base_ratio_cached = default_baseline - self._base_ratio_ts = now - logger.warning( - f"使用价格动态默认基准: {default_baseline * 100:.4f}% (价格=${current_price:.0f})" - ) - - return self._base_ratio_cached - - @staticmethod - def _clamp(x: float, lo: float, hi: float) -> float: - return max(lo, min(hi, x)) - - def dynamic_thresholds(self, atr_ratio: float, base_ratio: float): - """ - ✅ entry/tp/sl 全部动态（修复版）： - - vol_scale：atr_ratio/base_ratio 限幅 - - floor：方案一 (floor = clamp(min, k*base_ratio, max)) - - 最终阈值：max(floor, k * vol_scale * atr_ratio) - """ - if atr_ratio <= 0: - logger.warning(f"ATR比率异常: {atr_ratio}") - atr_ratio = 0.001 - - if base_ratio < 0.0005: - base_ratio = max(0.001, atr_ratio * 1.2) - logger.debug(f"基准太小，使用调整后的atr_ratio: {base_ratio * 100:.4f}%") - - if base_ratio > 0: - raw_scale = atr_ratio / base_ratio - vol_scale = self._clamp(raw_scale, self.cfg.vol_scale_min, self.cfg.vol_scale_max) - logger.debug( - f"vol_scale: {raw_scale:.2f} → {vol_scale:.2f} (atr={atr_ratio * 100:.3f}%, base={base_ratio * 100:.3f}%)" - ) - else: - vol_scale = 1.0 - logger.warning("基准无效，使用默认vol_scale=1.0") - - entry_floor_raw = self.cfg.entry_dev_floor_base_k * base_ratio - entry_floor = self._clamp(entry_floor_raw, self.cfg.entry_dev_floor_min, self.cfg.entry_dev_floor_max) - - tp_floor_raw = self.cfg.tp_floor_base_k * base_ratio - tp_floor = self._clamp(tp_floor_raw, self.cfg.tp_floor_min, self.cfg.tp_floor_max) - - sl_floor_raw = self.cfg.sl_floor_base_k * base_ratio - sl_floor = self._clamp(sl_floor_raw, self.cfg.sl_floor_min, self.cfg.sl_floor_max) - - entry_dev_atr_part = self.cfg.entry_k * vol_scale * atr_ratio - entry_dev = max(entry_floor, entry_dev_atr_part) - - tp_atr_part = self.cfg.tp_k * vol_scale * atr_ratio - tp = max(tp_floor, tp_atr_part) - - sl_atr_part = self.cfg.sl_k * vol_scale * atr_ratio - sl = max(sl_floor, sl_atr_part) - - entry_dev = max(entry_dev, self.cfg.entry_dev_floor_min) - - logger.info( - f"动态阈值: atr={atr_ratio * 100:.4f}%, base={base_ratio * 100:.4f}%, " - f"vol_scale={vol_scale:.2f}, floor={entry_floor * 100:.4f}%, " - f"atr_part={entry_dev_atr_part * 100:.4f}%, 最终entry_dev={entry_dev * 100:.4f}%" - ) - - return entry_dev, tp, sl, vol_scale, entry_floor, tp_floor, sl_floor - - # ----------------- 账户/仓位 ----------------- - def get_assets_available(self) -> float: - try: - resp = self.contractAPI.get_assets_detail()[0] - if resp.get("code") != 1000: - return 0.0 - data = resp.get("data") - if isinstance(data, dict): - return float(data.get("available_balance", 0)) - if isinstance(data, list): - for asset in data: - if asset.get("currency") == "USDT": - return float(asset.get("available_balance", 0)) - return 0.0 - except Exception as e: - logger.error(f"余额查询异常: {e}") - return 0.0 - - def get_position_status(self) -> bool: - try: - resp = self.contractAPI.get_position(contract_symbol=self.cfg.contract_symbol)[0] - if resp.get("code") != 1000: - return False - - positions = resp.get("data", []) - if not positions: - self.pos = 0 - return True - - p = positions[0] - self.pos = 1 if p["position_type"] == 1 else -1 - return True - except Exception as e: - logger.error(f"持仓查询异常: {e}") - self.ding(f"持仓查询异常: {e}", error=True) - return False - - def get_equity_proxy(self) -> float: - return self.get_assets_available() - - def refresh_daily_baseline(self): - today = datetime.date.today() - if today != self.day_tag: - self.day_tag = today - self.day_start_equity = None - self.trading_enabled = True - self.ding(f"新的一天({today})：重置日内风控基准") - - def risk_kill_switch(self): - self.refresh_daily_baseline() - equity = self.get_equity_proxy() - if equity <= 0: - return - - if self.day_start_equity is None: - self.day_start_equity = equity - logger.info(f"日内权益基准设定：{equity:.2f} USDT") - return - - pnl = (equity - self.day_start_equity) / self.day_start_equity - if pnl <= -self.cfg.daily_loss_limit: - self.trading_enabled = False - self.ding(f"触发日止损：{pnl * 100:.2f}% -> 停机", error=True) - - if pnl >= self.cfg.daily_profit_cap: - self.trading_enabled = False - self.ding(f"达到日盈利封顶：{pnl * 100:.2f}% -> 停机") - - # ----------------- 下单 ----------------- - def calculate_size(self, price: float) -> int: - bal = self.get_assets_available() - if bal < 10: - return 0 - - margin = bal * self.cfg.risk_percent - lev = int(self.cfg.leverage) - - # ⚠️ 沿用你的原假设：1张≈0.001ETH - size = int((margin * lev) / (price * 0.001)) - size = max(self.cfg.min_size, size) - size = min(self.cfg.max_size, size) - return size - - def place_market_order(self, side: int, size: int) -> bool: - if size <= 0: - return False - - client_order_id = f"mr_{int(time.time())}_{uuid.uuid4().hex[:8]}" - try: - resp = self.contractAPI.post_submit_order( - contract_symbol=self.cfg.contract_symbol, - client_order_id=client_order_id, - side=side, - mode=1, - type="market", - leverage=self.cfg.leverage, - open_type=self.cfg.open_type, - size=size - )[0] - - logger.info(f"order_resp: {resp}") - - if resp.get("code") == 1000: - return True - - self.ding(f"下单失败: {resp}", error=True) - return False - - except APIException as e: - logger.error(f"API下单异常: {e}") - self.ding(f"API下单异常: {e}", error=True) - return False - - except Exception as e: - logger.error(f"下单未知异常: {e}") - self.ding(f"下单未知异常: {e}", error=True) - return False - - def close_position_all(self): - if self.pos == 1: - ok = self.place_market_order(3, 999999) - if ok: - self.pos = 0 - elif self.pos == -1: - ok = self.place_market_order(2, 999999) - if ok: - self.pos = 0 - - # ----------------- 止损后机制 ----------------- - def _reentry_penalty_active(self, dev: float, entry_dev: float) -> bool: - """检查是否需要应用重新入场惩罚（你原逻辑保留）""" - if self.last_sl_dir == 0: - return False - - if (time.time() - self.last_sl_ts) > self.cfg.reentry_penalty_max_sec: - self.last_sl_dir = 0 - return False - - reset_band = max(self.cfg.reset_band_floor, self.cfg.reset_band_k * entry_dev) - if abs(dev) <= reset_band: - self.last_sl_dir = 0 - return False - - return True - - def _post_sl_dynamic_mult(self) -> float: - """计算止损后SL放宽倍数""" - if self.post_sl_dir == 0: - return 1.0 - - if (time.time() - self.post_sl_ts) > self.cfg.post_sl_sl_max_sec: - self.post_sl_dir = 0 - self.post_sl_vol_scale = 1.0 - return 1.0 - - raw = 1.0 + self.cfg.post_sl_vol_alpha * (self.post_sl_vol_scale - 1.0) - raw = max(1.0, raw) # 不缩小止损，只放宽 - return max(self.cfg.post_sl_mult_min, min(self.cfg.post_sl_mult_max, raw)) - - # ----------------- 交易逻辑 ----------------- - def in_cooldown(self) -> bool: - """检查是否在冷却期内（新增：止损后可额外延长冷却，用于抑制反手连环）""" - cd = self.cfg.cooldown_sec_after_exit - if self.last_sl_ts and (time.time() - self.last_sl_ts) < self.cfg.reentry_penalty_max_sec: - cd += max(0, self.cfg.cooldown_sec_after_sl_extra) - return (time.time() - self.last_exit_ts) < cd - - def _adx_blocks_entry(self, adx_val: float, plus_di: float, minus_di: float, want_dir: int) -> bool: - """ - ADX 趋势过滤： - - want_dir: 1=想开多, -1=想开空 - """ - if not self.cfg.enable_adx_filter: - return False - if adx_val < self.cfg.adx_threshold: - return False - - if self.cfg.adx_mode == "block_all": - return True - - # block_countertrend：只禁止逆 DI 方向 - # 上升趋势：+DI > -DI => 禁止开空 - # 下降趋势：-DI > +DI => 禁止开多 - if plus_di > minus_di and want_dir == -1: - return True - if minus_di > plus_di and want_dir == 1: - return True - return False - - def maybe_enter(self, price: float, ema_value: float, entry_dev: float, - adx_val: float, plus_di: float, minus_di: float): - """检查并执行入场（新增：ADX趋势过滤，防止趋势期逆势反复开仓）""" - if self.pos != 0: - return - if self.in_cooldown(): - return - - dev = (price - ema_value) / ema_value if ema_value else 0.0 - size = self.calculate_size(price) - if size <= 0: - return - - penalty_active = self._reentry_penalty_active(dev, entry_dev) - - long_th = -entry_dev - short_th = entry_dev - - if penalty_active: - if self.last_sl_dir == 1: - long_th = -entry_dev * self.cfg.reentry_penalty_mult - logger.info(f"多头止损后惩罚生效: long_th={long_th * 100:.3f}%") - elif self.last_sl_dir == -1: - short_th = entry_dev * self.cfg.reentry_penalty_mult - logger.info(f"空头止损后惩罚生效: short_th={short_th * 100:.3f}%") - - logger.info( - f"入场检查: price={price:.2f}, ema={ema_value:.2f}, dev={dev * 100:.3f}% " - f"(entry_dev={entry_dev * 100:.3f}%, long_th={long_th * 100:.3f}%, short_th={short_th * 100:.3f}%) " - f"ADX={adx_val:.2f} +DI={plus_di:.2f} -DI={minus_di:.2f} " - f"size={size}, penalty={penalty_active}, last_sl_dir={self.last_sl_dir}" - ) - - # 先判断信号，再用 ADX 过滤（这样日志更直观） - if dev <= long_th: - if self._adx_blocks_entry(adx_val, plus_di, minus_di, want_dir=1): - logger.warning( - f"ADX过滤：趋势期禁止逆势开多（ADX={adx_val:.2f}, +DI={plus_di:.2f}, -DI={minus_di:.2f}）" - ) - return - - if self.place_market_order(1, size): - self.pos = 1 - self.entry_price = price - self.entry_ts = time.time() - self.ding(f"✅开多：dev={dev * 100:.3f}% size={size} entry={price:.2f}") - - elif dev >= short_th: - if self._adx_blocks_entry(adx_val, plus_di, minus_di, want_dir=-1): - logger.warning( - f"ADX过滤：趋势期禁止逆势开空（ADX={adx_val:.2f}, +DI={plus_di:.2f}, -DI={minus_di:.2f}）" - ) - return - - if self.place_market_order(4, size): - self.pos = -1 - self.entry_price = price - self.entry_ts = time.time() - self.ding(f"✅开空：dev={dev * 100:.3f}% size={size} entry={price:.2f}") - - def maybe_exit(self, price: float, tp: float, sl: float, vol_scale: float): - """检查并执行出场""" - if self.pos == 0 or self.entry_price is None or self.entry_ts is None: - return - - hold = time.time() - self.entry_ts - - if self.pos == 1: - pnl = (price - self.entry_price) / self.entry_price - else: - pnl = (self.entry_price - price) / self.entry_price - - sl_mult = 1.0 - if self.post_sl_dir == self.pos and self.post_sl_dir != 0: - sl_mult = self._post_sl_dynamic_mult() - effective_sl = sl * sl_mult - - if pnl >= tp: - self.close_position_all() - self.ding(f"🎯止盈：pnl={pnl * 100:.3f}% price={price:.2f} tp={tp * 100:.3f}%") - self.entry_price, self.entry_ts = None, None - self.last_exit_ts = time.time() - - elif pnl <= -effective_sl: - sl_dir = self.pos - self.close_position_all() - self.ding( - f"🛑止损：pnl={pnl * 100:.3f}% price={price:.2f} " - f"sl={sl * 100:.3f}% effective_sl={effective_sl * 100:.3f}%(×{sl_mult:.2f})", - error=True - ) - - # 记录止损方向与时间 - self.last_sl_dir = sl_dir - self.last_sl_ts = time.time() - - self.post_sl_dir = sl_dir - self.post_sl_ts = time.time() - self.post_sl_vol_scale = float(vol_scale) - - self.entry_price, self.entry_ts = None, None - self.last_exit_ts = time.time() - - elif hold >= self.cfg.max_hold_sec: - self.close_position_all() - self.ding(f"⏱超时：hold={int(hold)}s pnl={pnl * 100:.3f}% price={price:.2f}") - self.entry_price, self.entry_ts = None, None - self.last_exit_ts = time.time() - - def notify_status_throttled(self, price: float, ema_value: float, dev: float, bal: float, - atr_ratio: float, base_ratio: float, vol_scale: float, - entry_dev: float, tp: float, sl: float, - entry_floor: float, tp_floor: float, sl_floor: float, - adx_val: float, plus_di: float, minus_di: float): - """限频状态通知""" - now = time.time() - if (now - self._last_status_notify_ts) < self.cfg.status_notify_sec: - return - self._last_status_notify_ts = now - - direction_str = "多" if self.pos == 1 else ("空" if self.pos == -1 else "无") - penalty_active = self._reentry_penalty_active(dev, entry_dev) - - sl_mult = 1.0 - if self.pos != 0 and self.post_sl_dir == self.pos: - sl_mult = self._post_sl_dynamic_mult() - - base_age = int(now - self._base_ratio_ts) if self._base_ratio_ts else -1 - - msg = ( - f"【BitMart {self.cfg.contract_symbol}｜1m均值回归(动态阈值+ADX过滤)】\n" - f"📊 状态：{direction_str}\n" - f"💰 现价：{price:.2f} | EMA{self.cfg.ema_len}：{ema_value:.2f}\n" - f"📈 偏离：{dev * 100:.3f}% (入场阈值：±{entry_dev * 100:.3f}%)\n" - f"🌊 波动率：ATR比={atr_ratio * 100:.3f}% | 基准={base_ratio * 100:.3f}% | 缩放={vol_scale:.2f}\n" - f"🧭 趋势：ADX={adx_val:.2f} | +DI={plus_di:.2f} | -DI={minus_di:.2f} " - f"(阈值={self.cfg.adx_threshold:.1f}, 模式={self.cfg.adx_mode})\n" - f"🎯 动态Floor：入场={entry_floor * 100:.3f}% | 止盈={tp_floor * 100:.3f}% | 止损={sl_floor * 100:.3f}%\n" - f"💰 止盈/止损：{tp * 100:.3f}% / {sl * 100:.3f}% (盈亏比：{tp / sl:.2f})\n" - f"🔄 基准刷新：{self.cfg.base_ratio_refresh_sec}s (已过={base_age}s)\n" - f"⚠️ 止损同向加门槛：{'开启' if penalty_active else '关闭'} (方向={self.last_sl_dir})\n" - f"💳 可用余额：{bal:.2f} USDT | 杠杆：{self.cfg.leverage}x\n" - f"⏱️ 持仓限制：{self.cfg.max_hold_sec}s | 冷却：{self.cfg.cooldown_sec_after_exit}s" - ) - self.ding(msg) - - def action(self): - """主循环""" - if not self.set_leverage(): - self.ding("杠杆设置失败，停止运行", error=True) - return - - while True: - now_dt = datetime.datetime.now() - self.pbar.n = now_dt.second - self.pbar.refresh() - - # 1. 获取K线数据 - klines = self.get_klines_cached() - if not klines or len(klines) < (max(self.cfg.ema_len + 5, 2 * self.cfg.adx_len + 5)): - logger.warning("K线数据不足，等待...") - time.sleep(1) - continue - - # 2. 计算技术指标 - last_k = klines[-1] - closes = [k["close"] for k in klines[-(self.cfg.ema_len + 1):]] - ema_value = self.ema(closes, self.cfg.ema_len) - - price = self.get_last_price(fallback_close=float(last_k["close"])) - dev = (price - ema_value) / ema_value if ema_value else 0.0 - - # 3. 计算波动率相关指标 - a = self.atr(klines, self.cfg.atr_len) - atr_ratio = (a / price) if price > 0 else 0.0 - base_ratio = self.get_base_ratio_cached(klines) - - # 4. 计算动态阈值 - entry_dev, tp, sl, vol_scale, entry_floor, tp_floor, sl_floor = self.dynamic_thresholds( - atr_ratio, base_ratio - ) - - # 5. 计算 ADX（新增） - adx_val, plus_di, minus_di = self.adx(klines, self.cfg.adx_len) - logger.info(f"ADX: {adx_val:.2f} (+DI={plus_di:.2f}, -DI={minus_di:.2f})") - - # 6. 风控检查 - self.risk_kill_switch() - - # 7. 获取持仓状态 - if not self.get_position_status(): - time.sleep(1) - continue - - # 8. 检查交易是否启用 - if not self.trading_enabled: - if self.pos != 0: - self.close_position_all() - logger.warning("交易被禁用（风控触发），等待...") - time.sleep(5) - continue - - # 9. 检查危险市场 - if self.is_danger_market(klines, price): - logger.warning("危险模式：高波动/大实体K，暂停开仓") - self.maybe_exit(price, tp, sl, vol_scale) - time.sleep(self.cfg.tick_refresh_sec) - continue - - # 10. 执行交易逻辑 - self.maybe_exit(price, tp, sl, vol_scale) - self.maybe_enter(price, ema_value, entry_dev, adx_val, plus_di, minus_di) - - # 11. 状态通知 - bal = self.get_assets_available() - self.notify_status_throttled( - price, ema_value, dev, bal, - atr_ratio, base_ratio, vol_scale, - entry_dev, tp, sl, - entry_floor, tp_floor, sl_floor, - adx_val, plus_di, minus_di - ) - - time.sleep(self.cfg.tick_refresh_sec) - - -if __name__ == "__main__": - """ - Windows PowerShell: - setx BITMART_API_KEY "你的key" - setx BITMART_SECRET_KEY "你的secret" - setx BITMART_MEMO "合约交易" - 重新打开终端再运行。 - - Linux/macOS: - export BITMART_API_KEY="你的key" - export BITMART_SECRET_KEY="你的secret" - export BITMART_MEMO "合约交易" - """ - cfg = StrategyConfig() - bot = BitmartFuturesMeanReversionBot(cfg) - - logger.remove() - logger.add(lambda msg: tqdm.write(msg, end=""), level="INFO") - - try: - bot.action() - except KeyboardInterrupt: - logger.info("程序被用户中断") - bot.ding("🤖 策略已手动停止") - except Exception as e: - logger.error(f"程序异常退出: {e}") - bot.ding(f"❌ 策略异常退出: {e}", error=True) - raise diff --git a/weex交易/30分钟仿盘交易.py b/weex交易/30分钟仿盘交易.py deleted file mode 100644 index 4f579c0..0000000 --- a/weex交易/30分钟仿盘交易.py +++ /dev/null @@ -1,410 +0,0 @@ -import re -import json -import hmac -import time -import base64 -import hashlib -import datetime -import requests - -from tqdm import * -from loguru import * -from DrissionPage import * -from bs4 import BeautifulSoup - - -def is_bullish(c): # 阳线 - return float(c['close']) > float(c['open']) - - -def is_bearish(c): # 阴线 - return float(c['close']) < float(c['open']) - - -class WeexTransaction: - def __init__(self, tge_id): - self.tge_port = None # tge浏览器使用端口 - self.tge_id = tge_id # tge id - self.tge_url = "http://127.0.0.1:50326" # tge本地服务url - self.tge_headers = { - "Authorization": f"Bearer asp_174003986c9b0799677c5b2c1adb76e402735d753bc91a91", - "Content-Type": "application/json" - } - - # 替换为你自己的钉钉机器人 Webhook 地址 - self.webhook_url = "https://oapi.dingtalk.com/robot/send?access_token=e2fafb3f46866d50fe52cbb29650ba9ef1cbc97915dde238192f04c906fe4125" - # 替换为你自己的钉钉机器人秘钥 - self.secret = "SEC5f320e72d7a4eaca540c66c3d09edff2f74936517390dee99ece6dd1b3611998" - - self.page = None # 浏览器对象 - - self.start = 0 # 持仓状态 -1:做空，0：维持仓，1：做多 - self.kline_1 = None # 0：跌，1：涨 - self.kline_2 = None # 0：跌，1：涨 - - self.direction = None # 信号类型 - - self.pbar = None # 进度条对象 - - def get_signature(self, timestamp): - # 将时间戳和密钥拼接 - string_to_sign = f'{timestamp}\n{self.secret}' - string_to_sign = string_to_sign.encode('utf-8') - # 使用 HMAC-SHA256 算法进行签名 - hmac_code = hmac.new(self.secret.encode('utf-8'), string_to_sign, digestmod=hashlib.sha256).digest() - # 对签名结果进行 Base64 编码 - sign = base64.b64encode(hmac_code).decode('utf-8') - return sign - - # def send_dingtalk_message(self, message_content): - # # 获取当前时间戳（毫秒） - # timestamp = str(round(time.time() * 1000)) - # # 生成签名 - # sign = self.get_signature(timestamp, ) - # # 拼接带有签名信息的完整 Webhook URL - # full_url = f"{self.webhook_url}×tamp={timestamp}&sign={sign}" - # - # # 定义消息内容 - # message = { - # "msgtype": "text", - # "text": { - # "content": message_content - # } - # } - # - # # 设置请求头 - # headers = { - # "Content-Type": "application/json" - # } - # - # try: - # # 发送 POST 请求 - # response = requests.post(full_url, headers=headers, data=json.dumps(message)) - # - # except requests.RequestException as e: - # print(f"请求发生错误: {e}") - - def send_dingtalk_message(self, message_content): - - pass - - - # url = "http://8.137.99.82:9005/api/send_click?token=fegergauiernguie&phone=8613661496481" - # - # res = requests.post( - # url=url, - # json={ - # "phone": "8613661496481", - # "bot_name": "ergggreef", - # "datas": [ - # {"send_message": [message_content], "click_button": [""], }, - # ] - # - # } - # ) - # - # print(res.json()) - - def openBrowser(self, ): # 直接指定ID打开窗口，也可以使用 createBrowser 方法返回的ID - - try: - - response = requests.post( - f"{self.tge_url}/api/browser/start", - json={"envId": self.tge_id}, - headers=self.tge_headers - ) - - self.tge_port = response.json()["data"]["port"] - - return True - except: - return False - - def take_over_browser(self): - try: - co = ChromiumOptions() - co.set_local_port(self.tge_port) - - self.page = ChromiumPage(addr_or_opts=co) - - self.page.set.window.max() - - return True - except: - return False - - def is_bullish(self, c): # 阳线 - return float(c['close']) > float(c['open']) - - def is_bearish(self, c): # 阴线 - return float(c['close']) < float(c['open']) - - def check_signal(self, prev, curr): - """ - 包住形态信号判定（仅15分钟K线）： - - 前跌后涨包住 -> 做多 - - 前涨后跌包住 -> 做空 - """ - p_open, p_close = float(prev['open']), float(prev['close']) - c_open, c_close = float(curr['open']), float(curr['close']) - - # 前跌后涨包住 -> 做多 - if is_bullish(curr) and is_bearish(prev) and c_open <= p_close and c_close >= p_open: - return "long", "bear_bull_engulf" - - # 前涨后跌包住 -> 做空 - if is_bearish(curr) and is_bullish(prev) and c_open >= p_close and c_close <= p_open: - return "short", "bull_bear_engulf" - - return None, None - - def get_price(self): - - for i in range(3): - try: - logger.info(f"获取最新数据：{i + 1}次。。。") - self.mn_tab.get(url="https://www.weeaxs.site/zh-CN/futures/demo-trading/ETH-SUSDT") - res = self.mn_tab.listen.wait(timeout=15) # 等待并获取一个数据包 - - datas = [] - if res: - for data in res.response.body['data']["dataList"]: - insert_data = { - 'id': int(data[4]), - 'open': float(data[3]), - 'high': float(data[1]), - 'low': float(data[2]), - 'close': float(data[0]) - } - - datas.append(insert_data) - - return datas - except: - pass - - return False - - def remove_tags_and_spaces(self,html): - # 创建 BeautifulSoup 对象 - soup = BeautifulSoup(html, 'html.parser') - # 获取去除标签后的文本 - text = soup.get_text() - # 去除所有空格 - text = text.replace(" ", "") - return text - - def to_do_page(self): - # self.page.get("https://www.weeaxs.site/zh-CN/futures/demo-trading/ETH-SUSDT") - - self.mn_tab.ele('x://*[contains(text(), "市价")]', timeout=15).click() - time.sleep(1) - html_text = self.remove_tags_and_spaces(html=self.mn_tab.html) - # 定义正则表达式模式，用于匹配包含逗号和小数点的数值 - pattern = r'委托可用([\d,]+\.\d+)SUSDT' - - # 使用 re.search 方法查找匹配项 - match = re.search(pattern, html_text) - number = "" - if match: - # 提取匹配到的数值字符串 - number_str = match.group(1).replace(',', '') - # 将提取的字符串转换为浮点数 - number = float(number_str) - - if not number: - return - - self.mn_tab.ele('x://input[@placeholder="请输入数量"]').input(number/10) - time.sleep(1) - - if self.direction == "long" and not self.start: - logger.success(f"{datetime.datetime.now()}，第一根信号：{self.kline_1}，{self.kline_2}，开多") - self.send_dingtalk_message( - message_content=f"{datetime.datetime.now()}，第一根信号：{self.kline_1}，{self.kline_2}，开多") - self.mn_tab.ele('x://*[contains(text(), "买入开多")]').click() - self.start = 1 - elif self.direction == "short" and not self.start: - logger.success(f"{datetime.datetime.now()}，第一根信号：{self.kline_1}，{self.kline_2}，开空") - self.send_dingtalk_message( - message_content=f"{datetime.datetime.now()}，第一根信号：{self.kline_1}，{self.kline_2}，开空") - self.mn_tab.ele('x://*[contains(text(), "卖出开空")]').click() - self.start = -1 - elif self.direction == "long" and self.start == -1: - logger.success(f"{datetime.datetime.now()}，第一根信号：{self.kline_1}，{self.kline_2}，反手平空做多") - self.send_dingtalk_message( - message_content=f"{datetime.datetime.now()}，第一根信号：{self.kline_1}，{self.kline_2}，反手平空做多") - self.mn_tab.ele('x://*[contains(text(), "闪电平仓")]').scroll.to_see(center=True) - self.mn_tab.ele('x://*[contains(text(), "闪电平仓")]').click() - time.sleep(3) - self.mn_tab.ele('x://*[contains(text(), "买入开多")]').click() - self.start = 1 - elif self.direction == "short" and self.start == 1: - logger.success(f"{datetime.datetime.now()}，第一根信号：{self.kline_1}，{self.kline_2}，反手平多做空") - self.send_dingtalk_message( - message_content=f"{datetime.datetime.now()}，第一根信号：{self.kline_1}，{self.kline_2}，反手平多做空") - self.mn_tab.ele('x://*[contains(text(), "闪电平仓")]').scroll.to_see(center=True) - self.mn_tab.ele('x://*[contains(text(), "闪电平仓")]').click() - time.sleep(3) - self.mn_tab.ele('x://*[contains(text(), "卖出开空")]').click() - self.start = -1 - - def get_text(self, target_text): - # 去除目标文本中的空白字符 - cleaned_target_text = re.sub(r'\s', '', target_text) - - # 创建 BeautifulSoup 对象 - soup = BeautifulSoup(self.mn_tab.html, 'html.parser') - - # 遍历所有标签的文本内容 - for tag in soup.find_all(): - tag_text = tag.get_text() - # 去除标签文本中的空白字符 - cleaned_tag_text = re.sub(r'\s', '', tag_text) - if cleaned_target_text in cleaned_tag_text: - return True - else: - return False - - def get_now_time(self): - # 获取当前时间戳 - current_timestamp = time.time() - # 将当前时间戳转换为 datetime 对象 - current_datetime = datetime.datetime.fromtimestamp(current_timestamp) - - # 计算距离当前时间最近的整点或 30 分时刻 - if current_datetime.minute < 30: - target_datetime = current_datetime.replace(minute=0, second=0, microsecond=0) - else: - target_datetime = current_datetime.replace(minute=30, second=0, microsecond=0) - - # 将目标 datetime 对象转换为时间戳 - target_timestamp = target_datetime.timestamp() - - return int(target_timestamp) * 1000 - - def close_extra_tabs_in_browser(self): - - try: - for _, i in enumerate(self.page.get_tabs()): - if _ == 0: - continue - - i.close() - - return True - except: - pass - - return False - - def action(self): - # 获取比特端口 - if self.openBrowser(): - logger.info("获取打开比特成功，成功获取端口！！！") - else: - logger.error("打开比特失败！！！") - return - - # 接管浏览器 - if self.take_over_browser(): - logger.info("接管比特浏览器成功！！！") - else: - logger.error("接管浏览器失败！！！") - return - - if self.close_extra_tabs_in_browser(): - logger.info('关闭多余标签页成功!!!') - else: - logger.info('关闭多余标签页失败!!!') - - self.mn_tab = self.page.new_tab() - self.mn_tab.listen.start("public/quote/v1/getKlineV2") - logger.success("浏览器开启抓包模式。。。") - - self.mn_tab.get(url="https://www.weeaxs.site/zh-CN/futures/demo-trading/ETH-SUSDT") # 打开网页 - - self.pbar = tqdm(total=30, desc="等待时间中", ncols=80) # desc：进度条说明，ncols：长度 - - while True: - # 获取当前时间 - current_time = time.localtime() - current_minute = current_time.tm_min - - if current_minute < 30: - self.pbar.n = current_minute - self.pbar.refresh() - else: - self.pbar.n = current_minute - 30 - self.pbar.refresh() - - if current_minute not in [0, 1, 2, 3, 4, 5, 30, 31, 32, 33, 34, 58]: # 判断是否是 新的30分钟了 - time.sleep(10) - continue - - new_price_datas = self.get_price() - if new_price_datas: - logger.success("获取最新交易价格成功!!!") - else: - logger.info("获取最新价格有问题！！！") - continue - - new_price_datas1 = sorted(new_price_datas, key=lambda x: x["id"]) - self.kline_1, self.kline_2, self.kline_3 = new_price_datas1[-3:] - - # 判断抓取的数据是否正确 - if self.get_now_time() != self.kline_3["id"]: - continue - - time.sleep(15) - if self.get_text(target_text="仓位(1)"): - if self.get_text(target_text="ETH/SUSDT多"): - self.start = 1 - elif self.get_text(target_text="ETH/SUSDT空"): - self.start = -1 - else: - self.start = 0 - - if self.start == 1: - if is_bearish(self.kline_1) and is_bearish(self.kline_2): - logger.success(f"{datetime.datetime.now()}，第一根信号：{self.kline_1}，{self.kline_2}，平多") - self.send_dingtalk_message( - message_content=f"{datetime.datetime.now()}，第一根信号：{self.kline_1}，{self.kline_2}，平多") - self.mn_tab.ele('x://*[contains(text(), "闪电平仓")]').scroll.to_see(center=True) - self.mn_tab.ele('x://*[contains(text(), "闪电平仓")]').click() - self.start = 0 - elif self.start == -1: - if is_bullish(self.kline_1) and is_bullish(self.kline_2): - logger.success(f"{datetime.datetime.now()}，第一根信号：{self.kline_1}，{self.kline_2}，平空") - self.send_dingtalk_message( - message_content=f"{datetime.datetime.now()}，第一根信号：{self.kline_1}，{self.kline_2}，平空") - - self.mn_tab.ele('x://*[contains(text(), "闪电平仓")]').scroll.to_see(center=True) - self.mn_tab.ele('x://*[contains(text(), "闪电平仓")]').click() - self.start = 0 - - self.direction, signal_key = self.check_signal(prev=self.kline_1, curr=self.kline_2) # 判断信号 - - if self.direction: - try: - self.to_do_page() - except Exception as e: - self.send_dingtalk_message( - message_content=f"{datetime.datetime.now()}，{e}") - - self.pbar.reset() # 重置进度条 - self.send_dingtalk_message( - message_content= - f"{datetime.datetime.now()}，" - f"目前有持仓：{"无" if self.start == 0 else ("多" if self.start == 1 else "空")}，" - f"当前信号：{"无" if not self.direction else ("多" if self.direction == "long" else "空")}" - ) - - -if __name__ == '__main__': - WeexTransaction( - tge_id=146473, - ).action() - - # //*[contains(text(), '特定文本')] diff --git a/weex交易/30分钟盘交易.py b/weex交易/30分钟盘交易.py deleted file mode 100644 index 15ffa6e..0000000 --- a/weex交易/30分钟盘交易.py +++ /dev/null @@ -1,408 +0,0 @@ -import re -import json -import hmac -import time -import base64 -import hashlib -import datetime -import requests - -from tqdm import * -from loguru import * -from DrissionPage import * -from bs4 import BeautifulSoup - - -def is_bullish(c): # 阳线 - return float(c['close']) > float(c['open']) - - -def is_bearish(c): # 阴线 - return float(c['close']) < float(c['open']) - - -class WeexTransaction: - def __init__(self, tge_id): - self.tge_port = None # tge浏览器使用端口 - self.tge_id = tge_id # tge id - self.tge_url = "http://127.0.0.1:50326" # tge本地服务url - self.tge_headers = { - "Authorization": f"Bearer asp_174003986c9b0799677c5b2c1adb76e402735d753bc91a91", - "Content-Type": "application/json" - } - - # 替换为你自己的钉钉机器人 Webhook 地址 - self.webhook_url = "https://oapi.dingtalk.com/robot/send?access_token=e2fafb3f46866d50fe52cbb29650ba9ef1cbc97915dde238192f04c906fe4125" - # 替换为你自己的钉钉机器人秘钥 - self.secret = "SEC5f320e72d7a4eaca540c66c3d09edff2f74936517390dee99ece6dd1b3611998" - - self.page = None # 浏览器对象 - - self.start = 0 # 持仓状态 -1:做空，0：维持仓，1：做多 - self.kline_1 = None # 0：跌，1：涨 - self.kline_2 = None # 0：跌，1：涨 - - self.direction = None # 信号类型 - - self.pbar = None # 进度条对象 - - def get_signature(self, timestamp): - # 将时间戳和密钥拼接 - string_to_sign = f'{timestamp}\n{self.secret}' - string_to_sign = string_to_sign.encode('utf-8') - # 使用 HMAC-SHA256 算法进行签名 - hmac_code = hmac.new(self.secret.encode('utf-8'), string_to_sign, digestmod=hashlib.sha256).digest() - # 对签名结果进行 Base64 编码 - sign = base64.b64encode(hmac_code).decode('utf-8') - return sign - - # def send_dingtalk_message(self, message_content): - # # 获取当前时间戳（毫秒） - # timestamp = str(round(time.time() * 1000)) - # # 生成签名 - # sign = self.get_signature(timestamp, ) - # # 拼接带有签名信息的完整 Webhook URL - # full_url = f"{self.webhook_url}×tamp={timestamp}&sign={sign}" - # - # # 定义消息内容 - # message = { - # "msgtype": "text", - # "text": { - # "content": message_content - # } - # } - # - # # 设置请求头 - # headers = { - # "Content-Type": "application/json" - # } - # - # try: - # # 发送 POST 请求 - # response = requests.post(full_url, headers=headers, data=json.dumps(message)) - # - # except requests.RequestException as e: - # print(f"请求发生错误: {e}") - - def send_dingtalk_message(self, message_content): - - pass - - # url = "http://8.137.99.82:9005/api/send_click?token=fegergauiernguie&phone=8613661496481" - # - # res = requests.post( - # url=url, - # json={ - # "phone": "8613661496481", - # "bot_name": "ergggreef", - # "datas": [ - # {"send_message": [message_content], "click_button": [""], }, - # ] - # - # } - # ) - # - # print(res.json()) - - def openBrowser(self, ): # 直接指定ID打开窗口，也可以使用 createBrowser 方法返回的ID - - try: - - response = requests.post( - f"{self.tge_url}/api/browser/start", - json={"envId": self.tge_id}, - headers=self.tge_headers - ) - - self.tge_port = response.json()["data"]["port"] - - return True - except: - return False - - def take_over_browser(self): - try: - co = ChromiumOptions() - co.set_local_port(self.tge_port) - - self.page = ChromiumPage(addr_or_opts=co) - - self.page.set.window.max() - - return True - except: - return False - - def is_bullish(self, c): # 阳线 - return float(c['close']) > float(c['open']) - - def is_bearish(self, c): # 阴线 - return float(c['close']) < float(c['open']) - - def check_signal(self, prev, curr): - """ - 包住形态信号判定（仅15分钟K线）： - - 前跌后涨包住 -> 做多 - - 前涨后跌包住 -> 做空 - """ - p_open, p_close = float(prev['open']), float(prev['close']) - c_open, c_close = float(curr['open']), float(curr['close']) - - # 前跌后涨包住 -> 做多 - if is_bullish(curr) and is_bearish(prev) and c_open <= p_close and c_close >= p_open: - return "long", "bear_bull_engulf" - - # 前涨后跌包住 -> 做空 - if is_bearish(curr) and is_bullish(prev) and c_open >= p_close and c_close <= p_open: - return "short", "bull_bear_engulf" - - return None, None - - def get_price(self): - - for i in range(3): - try: - logger.info(f"获取最新数据：{i + 1}次。。。") - self.mn_tab.get(url="https://www.weeaxs.site/zh-CN/futures/ETH-USDT") - res = self.mn_tab.listen.wait(timeout=15) # 等待并获取一个数据包 - - datas = [] - if res: - for data in res.response.body['data']["dataList"]: - insert_data = { - 'id': int(data[4]), - 'open': float(data[3]), - 'high': float(data[1]), - 'low': float(data[2]), - 'close': float(data[0]) - } - - datas.append(insert_data) - - return datas - except: - pass - - return False - - def remove_tags_and_spaces(self, html): - # 创建 BeautifulSoup 对象 - soup = BeautifulSoup(html, 'html.parser') - # 获取去除标签后的文本 - text = soup.get_text() - # 去除所有空格 - text = text.replace(" ", "") - return text - - def to_do_page(self): - # self.page.get("https://www.weeaxs.site/zh-CN/futures/ETH-USDT") - - self.mn_tab.ele('x://*[contains(text(), "市价")]', timeout=15).click() - time.sleep(1) - html_text = self.remove_tags_and_spaces(html=self.mn_tab.html) - # 使用 re.search 方法查找匹配项 - # match = re.search(r'委托可用\s*([0-9]+(?:\.[0-9]+)?)SUSDT', html_text) - match = re.search(r"可用\s*([0-9,]+(?:\.[0-9]+)?)", html_text) - number = "" - if match: - # 提取匹配到的数值字符串 - number_str = match.group(1).replace(',', '') - # 将提取的字符串转换为浮点数 - number = float(number_str) - - if not number: - return - - self.mn_tab.ele('x://input[@placeholder="请输入数量"]').input(number / 100) - time.sleep(1) - - if self.direction == "long" and not self.start: - logger.success(f"{datetime.datetime.now()}，第一根信号：{self.kline_1}，{self.kline_2}，开多") - self.send_dingtalk_message( - message_content=f"{datetime.datetime.now()}，第一根信号：{self.kline_1}，{self.kline_2}，开多") - self.mn_tab.ele('x://*[contains(text(), "买入开多")]').click() - self.start = 1 - elif self.direction == "short" and not self.start: - logger.success(f"{datetime.datetime.now()}，第一根信号：{self.kline_1}，{self.kline_2}，开空") - self.send_dingtalk_message( - message_content=f"{datetime.datetime.now()}，第一根信号：{self.kline_1}，{self.kline_2}，开空") - self.mn_tab.ele('x://*[contains(text(), "卖出开空")]').click() - self.start = -1 - elif self.direction == "long" and self.start == -1: - logger.success(f"{datetime.datetime.now()}，第一根信号：{self.kline_1}，{self.kline_2}，反手平空做多") - self.send_dingtalk_message( - message_content=f"{datetime.datetime.now()}，第一根信号：{self.kline_1}，{self.kline_2}，反手平空做多") - self.mn_tab.ele('x://*[contains(text(), "闪电平仓")]').scroll.to_see(center=True) - self.mn_tab.ele('x://*[contains(text(), "闪电平仓")]').click() - time.sleep(3) - self.mn_tab.ele('x://*[contains(text(), "买入开多")]').click() - self.start = 1 - elif self.direction == "short" and self.start == 1: - logger.success(f"{datetime.datetime.now()}，第一根信号：{self.kline_1}，{self.kline_2}，反手平多做空") - self.send_dingtalk_message( - message_content=f"{datetime.datetime.now()}，第一根信号：{self.kline_1}，{self.kline_2}，反手平多做空") - self.mn_tab.ele('x://*[contains(text(), "闪电平仓")]').scroll.to_see(center=True) - self.mn_tab.ele('x://*[contains(text(), "闪电平仓")]').click() - time.sleep(3) - self.mn_tab.ele('x://*[contains(text(), "卖出开空")]').click() - self.start = -1 - - def get_text(self, target_text): - # 去除目标文本中的空白字符 - cleaned_target_text = re.sub(r'\s', '', target_text) - - # 创建 BeautifulSoup 对象 - soup = BeautifulSoup(self.mn_tab.html, 'html.parser') - - # 遍历所有标签的文本内容 - for tag in soup.find_all(): - tag_text = tag.get_text() - # 去除标签文本中的空白字符 - cleaned_tag_text = re.sub(r'\s', '', tag_text) - if cleaned_target_text in cleaned_tag_text: - return True - else: - return False - - def get_now_time(self): - # 获取当前时间戳 - current_timestamp = time.time() - # 将当前时间戳转换为 datetime 对象 - current_datetime = datetime.datetime.fromtimestamp(current_timestamp) - - # 计算距离当前时间最近的整点或 30 分时刻 - if current_datetime.minute < 30: - target_datetime = current_datetime.replace(minute=0, second=0, microsecond=0) - else: - target_datetime = current_datetime.replace(minute=30, second=0, microsecond=0) - - # 将目标 datetime 对象转换为时间戳 - target_timestamp = target_datetime.timestamp() - - return int(target_timestamp) * 1000 - - def close_extra_tabs_in_browser(self): - - try: - for _, i in enumerate(self.page.get_tabs()): - if _ == 0: - continue - - i.close() - - return True - except: - pass - - return False - - def action(self): - # 获取比特端口 - if self.openBrowser(): - logger.info("获取打开比特成功，成功获取端口！！！") - else: - logger.error("打开比特失败！！！") - return - - # 接管浏览器 - if self.take_over_browser(): - logger.info("接管比特浏览器成功！！！") - else: - logger.error("接管浏览器失败！！！") - return - - if self.close_extra_tabs_in_browser(): - logger.info('关闭多余标签页成功!!!') - else: - logger.info('关闭多余标签页失败!!!') - - self.mn_tab = self.page.new_tab() - self.mn_tab.listen.start("public/quote/v1/getKlineV2") - logger.success("浏览器开启抓包模式。。。") - - self.mn_tab.get(url="https://www.weeaxs.site/zh-CN/futures/ETH-USDT") # 打开网页 - - self.pbar = tqdm(total=30, desc="等待时间中", ncols=80) # desc：进度条说明，ncols：长度 - - while True: - # 获取当前时间 - current_time = time.localtime() - current_minute = current_time.tm_min - - if current_minute < 30: - self.pbar.n = current_minute - self.pbar.refresh() - else: - self.pbar.n = current_minute - 30 - self.pbar.refresh() - - # if current_minute not in range(60): # 判断是否是 新的30分钟了 - if current_minute not in [0, 1, 2, 3, 4, 5, 30, 31, 32, 33, 34, 58]: # 判断是否是 新的30分钟了 - time.sleep(10) - continue - - new_price_datas = self.get_price() - if new_price_datas: - logger.success("获取最新交易价格成功!!!") - else: - logger.info("获取最新价格有问题！！！") - continue - - new_price_datas1 = sorted(new_price_datas, key=lambda x: x["id"]) - self.kline_1, self.kline_2, self.kline_3 = new_price_datas1[-3:] - - # 判断抓取的数据是否正确 - if self.get_now_time() != self.kline_3["id"]: - continue - - time.sleep(15) - - if self.get_text(target_text="ETH/USDT多"): - self.start = 1 - elif self.get_text(target_text="ETH/USDT空"): - self.start = -1 - else: - self.start = 0 - - if self.start == 1: - if is_bearish(self.kline_1) and is_bearish(self.kline_2): - logger.success(f"{datetime.datetime.now()}，第一根信号：{self.kline_1}，{self.kline_2}，平多") - self.send_dingtalk_message( - message_content=f"{datetime.datetime.now()}，第一根信号：{self.kline_1}，{self.kline_2}，平多") - self.mn_tab.ele('x://*[contains(text(), "闪电平仓")]').scroll.to_see(center=True) - self.mn_tab.ele('x://*[contains(text(), "闪电平仓")]').click() - self.start = 0 - elif self.start == -1: - if is_bullish(self.kline_1) and is_bullish(self.kline_2): - logger.success(f"{datetime.datetime.now()}，第一根信号：{self.kline_1}，{self.kline_2}，平空") - self.send_dingtalk_message( - message_content=f"{datetime.datetime.now()}，第一根信号：{self.kline_1}，{self.kline_2}，平空") - - self.mn_tab.ele('x://*[contains(text(), "闪电平仓")]').scroll.to_see(center=True) - self.mn_tab.ele('x://*[contains(text(), "闪电平仓")]').click() - self.start = 0 - - self.direction, signal_key = self.check_signal(prev=self.kline_1, curr=self.kline_2) # 判断信号 - - if self.direction: - try: - self.to_do_page() - except Exception as e: - self.send_dingtalk_message( - message_content=f"{datetime.datetime.now()}，{e}") - - self.pbar.reset() # 重置进度条 - self.send_dingtalk_message( - message_content= - f"{datetime.datetime.now()}，" - f"目前有持仓：{"无" if self.start == 0 else ("多" if self.start == 1 else "空")}，" - f"当前信号：{"无" if not self.direction else ("多" if self.direction == "long" else "空")}" - ) - - -if __name__ == '__main__': - WeexTransaction( - tge_id=146473, - ).action() - - # //*[contains(text(), '特定文本')] diff --git a/weex交易/text.py b/weex交易/text.py deleted file mode 100644 index 5f569d9..0000000 --- a/weex交易/text.py +++ /dev/null @@ -1,15 +0,0 @@ -import requests - -url = "http://8.137.99.82:9005/api/send_click?token=fegergauiernguie&phone=8613661496481" - -res = requests.post( - url=url, - json={ - "phone": "8613661496481", - "bot_name": "ergggreef", - "datas": [ - {"send_message": ["grgegg"], "click_button": [""], }, - ] - - } -) diff --git a/价格展示/kline_data.xlsx b/价格展示/kline_data.xlsx deleted file mode 100644 index 9550a12d26d3c3b01ffd4e81f3944b7abddddd24..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 517399 zcmY(qbyU>f7cMO6FwzW?Qqm~h(p|#{S`$=kb^DvL9c zfw?wW{)ltUk&m|rPipG<)K@KeqMn{(8bYLhCuJGVWUHSF| zr-JpnkuNfym7R6MFSHKzqQ^2hbipBKrTEVBzd$`Ok*jcqpuc8#nBsKk@x;?TwV&Yc91{K_Q)t zgmt|~wNcD5#MvGX>9r2eKu)i^4_13>vwo>Mpo@oh!_y|ES!oW4X6V9I|f`AKY_{knrr?G^#C&TUiPmXs9-vR|3TR=FY9y1 zC*6WUwbdlh2BMM1)WFL?V2(1uho%op1?!}5xoTf*Ka ze>u&!!Xgrnz0790=BFC#xE7Z5co~VLxhe9?4u67k)l6y(Y#((9`}L6!cl-|i2vYTe 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- - \ No newline at end of file diff --git a/价格展示/pnl_details.csv b/价格展示/pnl_details.csv deleted file mode 100644 index eb2186a..0000000 --- a/价格展示/pnl_details.csv +++ /dev/null @@ -1,277 +0,0 @@ -开仓时间,平仓时间,数量,开仓价,平仓价,盈亏,类型,开仓订单ID,平仓订单ID,时间_x -2025-08-28 09:35:18+08:00,2025-08-28 09:44:18+08:00,664.0,4514.69,4507.43,4820.639999999541,平空,e1d3a2da-219e-436f-ac9e-a7ea93de15bd,abfa0508-9399-4f1b-90c7-7716c3e7f511,2025-08-28 01:44:00 -2025-08-28 10:06:42+08:00,2025-08-28 10:10:07+08:00,1106.0,4519.88,4515.64,-4689.439999999759,平多,594bd10c-2120-4692-a8eb-9f5325e26ef0,bd643cab-14d4-414d-912e-e9257ddb96de,2025-08-28 02:10:00 -2025-08-28 10:45:07+08:00,2025-08-28 10:51:41+08:00,1108.0,4512.13,4516.84,-5218.68000000004,平空,fc0c73ab-9fff-41b5-98c1-ef6f7d300256,206688da-848a-4822-9571-c05302ab7a29,2025-08-28 02:51:00 -2025-08-28 11:07:30+08:00,2025-08-28 11:13:19+08:00,200.0,4525.0,4529.25,850.0,平多,6197fb5c-6202-422f-9012-5395c5393fb3,59d8859f-2b64-4e8b-aefe-57998b198841,2025-08-28 03:13:00 -2025-08-28 11:07:30+08:00,2025-08-28 11:13:19+08:00,100.0,4525.0,4529.25,425.0,平多,794c0925-6e48-4b9a-a162-d31d7a3c42cc,59d8859f-2b64-4e8b-aefe-57998b198841,2025-08-28 03:13:00 -2025-08-28 11:07:31+08:00,2025-08-28 11:13:19+08:00,483.0,4525.0,4529.25,2052.75,平多,65f7d764-ad05-40c7-bce1-6b227ad5f5c0,59d8859f-2b64-4e8b-aefe-57998b198841,2025-08-28 03:13:00 -2025-08-28 11:07:31+08:00,2025-08-28 11:13:19+08:00,100.0,4525.0,4529.25,425.0,平多,35e1c160-4129-425a-ae46-b8fb45d53ec8,59d8859f-2b64-4e8b-aefe-57998b198841,2025-08-28 03:13:00 -2025-08-28 11:28:58+08:00,2025-08-28 11:34:21+08:00,400.0,4533.74,4537.34,1440.0000000001455,平多,a983b8f5-70d1-441b-87df-397c6c1ce843,3e161e4e-f367-421a-bc0d-8095f7b79675,2025-08-28 03:34:00 -2025-08-28 11:28:58+08:00,2025-08-28 11:34:21+08:00,482.0,4533.74,4537.34,1735.2000000001754,平多,a983b8f5-70d1-441b-87df-397c6c1ce843,45ddb145-d637-4985-9c4b-3dee2fd189b5,2025-08-28 03:34:00 -2025-08-28 12:22:53+08:00,2025-08-28 12:23:33+08:00,478.0,4550.8,4545.04,-2753.2800000001043,平多,37d97b24-c1fd-4a2d-ba0e-75b818062686,fcfe39c7-0bcf-47f6-9b48-a1dd70bd5444,2025-08-28 04:23:00 -2025-08-28 12:22:53+08:00,2025-08-28 12:23:33+08:00,400.0,4550.8,4545.04,-2304.0000000000873,平多,37d97b24-c1fd-4a2d-ba0e-75b818062686,867b1b2c-0fe5-466b-a89f-ec8dce25bcda,2025-08-28 04:23:00 -2025-08-28 12:26:39+08:00,2025-08-28 12:34:19+08:00,879.0,4549.6,4555.44,5133.3599999993285,平多,0a3a08a1-61c7-4997-b13c-4da05b2c5dbc,ad149e7f-7088-4dd9-9698-9b7bd615478e,2025-08-28 04:34:00 -2025-08-28 12:46:19+08:00,2025-08-28 12:48:10+08:00,600.0,4561.8,4567.53,-3437.999999999738,平空,18929fa1-2cc7-4e7f-8e76-c3937f16f877,8283a8b1-17f1-4818-843d-33877996af35,2025-08-28 04:48:00 -2025-08-28 12:46:19+08:00,2025-08-28 12:48:10+08:00,276.0,4561.8,4567.53,-1581.4799999998795,平空,18929fa1-2cc7-4e7f-8e76-c3937f16f877,c0a1d021-0708-476e-a766-722bc73ab740,2025-08-28 04:48:00 -2025-08-28 12:53:40+08:00,2025-08-28 12:57:03+08:00,873.0,4577.05,4569.51,6582.419999999968,平空,16f8970d-ef44-4026-ba19-9c9ff6dc70e1,e1f9de7d-115e-4289-8acd-bbba16e04ff0,2025-08-28 04:57:00 -2025-08-28 12:58:03+08:00,2025-08-28 13:01:30+08:00,475.0,4567.45,4572.58,-2436.750000000052,平空,8dbfcfc8-466c-4111-acdf-316a2a8c7428,3e0a22b4-7707-4332-b80d-87d3b07cf3cc,2025-08-28 05:01:00 -2025-08-28 12:58:03+08:00,2025-08-28 13:01:30+08:00,400.0,4567.45,4572.58,-2052.0000000000437,平空,8dbfcfc8-466c-4111-acdf-316a2a8c7428,29775823-c3fc-4dbc-8afa-f9587f803f2a,2025-08-28 05:01:00 -2025-08-28 13:32:49+08:00,2025-08-28 13:41:18+08:00,721.0,4564.18,4565.88,1225.6999999998689,平多,6c0a64d8-b890-42bc-ae09-152919931d57,5bba77bd-b49f-4c6d-9a12-fe062c687cae,2025-08-28 05:41:00 -2025-08-28 13:32:49+08:00,2025-08-28 13:41:18+08:00,155.0,4564.18,4565.88,263.4999999999718,平多,c0e17c5e-6a39-465c-a3b3-347f1af3d772,5bba77bd-b49f-4c6d-9a12-fe062c687cae,2025-08-28 05:41:00 -2025-08-28 13:52:44+08:00,2025-08-28 13:57:25+08:00,400.0,4555.2,4559.95,-1900.0,平空,8f641745-890a-4b9c-8d83-10163234429d,dd5f8c6a-74da-4984-aa24-eebfbceb6d22,2025-08-28 05:57:00 -2025-08-28 13:52:44+08:00,2025-08-28 13:57:25+08:00,478.0,4555.2,4559.95,-2270.5,平空,66c5bcfb-02ef-4a8c-a314-bd9d672decb5,dd5f8c6a-74da-4984-aa24-eebfbceb6d22,2025-08-28 05:57:00 -2025-08-28 14:40:01+08:00,2025-08-28 14:41:47+08:00,874.0,4572.59,4578.98,-5584.859999999491,平空,1b1efa90-7dd5-4b5f-a170-eb87df7fb7db,26b0c5e5-f4a4-4f47-9fdc-12c6ecd05704,2025-08-28 06:41:00 -2025-08-28 15:05:18+08:00,2025-08-28 15:07:11+08:00,60.0,4582.63,4577.98,-279.00000000003274,平多,61f7b24d-18b1-44ee-bc9e-60666e4b2346,e53afe94-f3fa-42c1-9e49-619cd77261ab,2025-08-28 07:07:00 -2025-08-28 15:05:18+08:00,2025-08-28 15:07:11+08:00,600.0,4582.63,4578.03,-2760.0000000002183,平多,61f7b24d-18b1-44ee-bc9e-60666e4b2346,b9cf7c9c-d909-4dad-ae66-64aa0706566f,2025-08-28 07:07:00 -2025-08-28 15:05:18+08:00,2025-08-28 15:07:11+08:00,212.0,4582.63,4577.52,-1083.3199999999306,平多,61f7b24d-18b1-44ee-bc9e-60666e4b2346,05d46d57-d923-4d18-8c18-5a49927ac910,2025-08-28 07:07:00 -2025-08-28 15:22:41+08:00,2025-08-28 15:23:11+08:00,600.0,4572.88,4567.91,-2982.000000000153,平多,184c5b21-ed98-43c2-8003-8cc5f8c1bb0a,10d151ec-2891-44fe-8527-89643b3f3b46,2025-08-28 07:23:00 -2025-08-28 15:22:41+08:00,2025-08-28 15:23:11+08:00,274.0,4572.88,4567.53,-1465.9000000000997,平多,184c5b21-ed98-43c2-8003-8cc5f8c1bb0a,2a5ef255-f800-4e98-a10c-ca3ed33bb372,2025-08-28 07:23:00 -2025-08-28 15:57:55+08:00,2025-08-28 16:02:09+08:00,547.0,4589.48,4607.47,9840.530000000377,平多,6fdd3eb9-13a9-4e2a-90b6-78e7d71f3fbc,81bc2d5e-8099-4d48-b968-d695a7f1fee4,2025-08-28 08:02:00 -2025-08-28 15:57:55+08:00,2025-08-28 16:02:09+08:00,324.0,4589.48,4607.47,5828.760000000224,平多,aec18848-d3b5-4786-8c51-a4fdfc454ee2,81bc2d5e-8099-4d48-b968-d695a7f1fee4,2025-08-28 08:02:00 -2025-08-28 16:05:54+08:00,2025-08-28 16:09:19+08:00,866.0,4614.86,4624.89,8685.980000000567,平多,8e6d3e81-c813-4759-b608-9ed4e547b24d,25509f73-848d-4620-b662-f7f93d76becc,2025-08-28 08:09:00 -2025-08-28 16:09:50+08:00,2025-08-28 16:15:00+08:00,865.0,4621.56,4617.66,-3373.500000000472,平多,29739f4f-b289-4a1e-a5e7-f6925dd72b4c,7e4c74ac-902f-47c5-9e0a-b2ef07f31e8e,2025-08-28 08:15:00 -2025-08-28 16:23:59+08:00,2025-08-28 16:28:31+08:00,867.0,4609.17,4602.01,6207.719999999874,平空,6e8dc270-512a-4826-84c9-cfdf82c6cd59,0df8cd52-9db6-4532-99e1-923fcd9c134d,2025-08-28 08:28:00 -2025-08-28 16:54:47+08:00,2025-08-28 16:58:41+08:00,870.0,4595.28,4599.69,-3836.6999999998734,平空,35598fc3-567f-4ee2-a9fe-db14aab8228b,9777e233-baa8-4238-8f48-ef3e303ff883,2025-08-28 08:58:00 -2025-08-28 17:06:53+08:00,2025-08-28 17:15:11+08:00,870.0,4595.19,4592.66,2201.0999999997784,平空,3432672f-ced3-401f-981d-7686ddd396e6,bf9ffdef-56bd-4d35-9eef-f92a668d5829,2025-08-28 09:15:00 -2025-08-28 17:43:59+08:00,2025-08-28 17:49:12+08:00,258.0,4584.79,4581.95,732.7200000000375,平空,c0b26494-b8c4-434e-bc49-e3b317c1fa88,ffbc0ba2-aa7f-4377-bade-cf31e3697b19,2025-08-28 09:49:00 -2025-08-28 17:43:59+08:00,2025-08-28 17:49:12+08:00,114.0,4584.79,4581.95,323.7600000000166,平空,6fdb9fc7-e0f4-4033-896b-a13160b4fd18,ffbc0ba2-aa7f-4377-bade-cf31e3697b19,2025-08-28 09:49:00 -2025-08-28 17:43:59+08:00,2025-08-28 17:49:12+08:00,500.0,4584.79,4581.95,1420.0000000000728,平空,b064c485-653b-4f88-a0d1-86961284dc70,ffbc0ba2-aa7f-4377-bade-cf31e3697b19,2025-08-28 09:49:00 -2025-08-28 17:49:44+08:00,2025-08-28 17:50:54+08:00,500.0,4579.81,4584.85,-2519.999999999982,平空,1f97429c-1de1-467a-8985-8f9bb17000b5,cf389028-3cfb-4521-bf8c-59c3d9782e85,2025-08-28 09:50:00 -2025-08-28 17:49:44+08:00,2025-08-28 17:50:54+08:00,139.0,4579.81,4584.85,-700.559999999995,平空,989c44a3-a81f-4939-ab13-d9884d845a65,cf389028-3cfb-4521-bf8c-59c3d9782e85,2025-08-28 09:50:00 -2025-08-28 17:49:44+08:00,2025-08-28 17:50:54+08:00,234.0,4579.58,4584.85,-1233.1800000001022,平空,0b83f7ef-0985-4168-a211-d009f6c6ff1a,cf389028-3cfb-4521-bf8c-59c3d9782e85,2025-08-28 09:50:00 -2025-08-28 18:36:51+08:00,2025-08-28 18:43:09+08:00,533.0,4609.97,4604.0,-3182.0100000001357,平多,b8391ca4-74b4-41bc-85cd-b4c82cf6e8f3,2926d3da-8a19-4fae-938f-e2556e994376,2025-08-28 10:43:00 -2025-08-28 18:36:51+08:00,2025-08-28 18:43:09+08:00,84.0,4610.0,4604.0,-504.0,平多,e441f55d-693a-4301-b6c9-10d54ab10357,2926d3da-8a19-4fae-938f-e2556e994376,2025-08-28 10:43:00 -2025-08-28 18:36:51+08:00,2025-08-28 18:43:09+08:00,33.0,4609.97,4604.0,-197.0100000000084,平多,9dbce008-1d12-422c-80f8-a2c928610074,2926d3da-8a19-4fae-938f-e2556e994376,2025-08-28 10:43:00 -2025-08-28 19:46:14+08:00,2025-08-28 19:54:40+08:00,654.0,4586.91,4591.36,-2910.299999999881,平空,005b10f4-329d-4d34-8263-b8f63f526ac8,ea07e34c-cd41-4c80-b13f-6b8308257b92,2025-08-28 11:54:00 -2025-08-28 20:30:04+08:00,2025-08-28 20:30:34+08:00,517.0,4587.25,4588.6,697.9500000001881,平多,26fe1b1b-f4f0-4c49-b6d0-f8445d4e996e,9011ad7e-ef83-4c62-ac90-3e538965ad3f,2025-08-28 12:30:00 -2025-08-28 20:30:05+08:00,2025-08-28 20:30:34+08:00,354.0,4587.44,4588.6,410.64000000027045,平多,32f1db9d-6a9b-413f-abba-3f698a83ec65,9011ad7e-ef83-4c62-ac90-3e538965ad3f,2025-08-28 12:30:00 -2025-08-28 20:31:22+08:00,2025-08-28 20:31:28+08:00,400.0,4583.96,4585.9,-775.9999999998399,平空,dd7d8a55-c4bf-4ff8-82b9-ec8591888b0d,ca1e611c-1ba6-4418-9f86-8e492a7726c5,2025-08-28 12:31:00 -2025-08-28 20:31:22+08:00,2025-08-28 20:31:29+08:00,472.0,4583.96,4585.9,-915.6799999998111,平空,dd7d8a55-c4bf-4ff8-82b9-ec8591888b0d,04792496-7da0-4a9b-95cf-293b41d8292a,2025-08-28 12:31:00 -2025-08-28 20:43:41+08:00,2025-08-28 20:46:26+08:00,92.0,4609.77,4603.6,-567.6400000000067,平多,da034c24-f333-4197-ae9d-7dfa8639be45,9d59670d-a478-4432-8ec0-e3a8c4ec4d8a,2025-08-28 12:46:00 -2025-08-28 20:43:41+08:00,2025-08-28 20:46:26+08:00,600.0,4609.77,4603.6,-3702.0000000000437,平多,da034c24-f333-4197-ae9d-7dfa8639be45,e83ff9d3-3078-4f5c-8e6a-fa5750c97b55,2025-08-28 12:46:00 -2025-08-28 20:43:41+08:00,2025-08-28 20:46:27+08:00,175.0,4609.77,4604.08,-995.7500000000891,平多,da034c24-f333-4197-ae9d-7dfa8639be45,433dc03b-8b85-4951-9f21-dfaa5d6a0de5,2025-08-28 12:46:00 -2025-08-29 09:45:36+08:00,2025-08-29 09:49:22+08:00,447.0,4466.85,4458.15,3888.9000000003252,平空,87d823b2-675d-4501-bb36-b40eef344b7c,28bb7706-f2ce-480e-b606-fc5073ce4153,2025-08-29 01:49:00 -2025-08-29 10:13:26+08:00,2025-08-29 10:18:05+08:00,2.0,4470.7,4473.08,4.760000000000218,平多,6d7fe294-0553-46ac-9179-e22446e727dc,b50fd6a4-865b-4cd4-8b83-015dde307912,2025-08-29 02:18:00 -2025-08-29 10:13:27+08:00,2025-08-29 10:18:05+08:00,445.0,4470.71,4473.08,1054.6499999999514,平多,3d441a61-f852-4d4d-88d9-a2c4494e3a5f,b50fd6a4-865b-4cd4-8b83-015dde307912,2025-08-29 02:18:00 -2025-08-29 10:21:04+08:00,2025-08-29 10:25:10+08:00,446.0,4479.68,4483.07,1511.9399999997404,平多,9ac71ec9-58a8-43af-83ca-cac772d44dce,7db1d0e0-cdda-45a4-af09-9ec2f6a830a5,2025-08-29 02:25:00 -2025-08-29 11:08:08+08:00,2025-08-29 11:10:24+08:00,446.0,4477.82,4481.35,1574.380000000292,平多,4c447405-283c-40f7-bc05-42ae2aeaaaeb,de3c12d5-ba88-4b3d-8e8a-2158228465cb,2025-08-29 03:10:00 -2025-08-29 11:25:26+08:00,2025-08-29 11:31:14+08:00,446.0,4478.16,4482.39,1886.580000000211,平多,877eb021-8a47-4d55-8efd-789fde87699c,33addd17-0151-418d-b11e-d68a26c179e6,2025-08-29 03:31:00 -2025-08-29 11:35:59+08:00,2025-08-29 11:43:49+08:00,446.0,4484.05,4494.74,4767.7399999998215,平多,913408fa-2541-48c8-a8a0-d352b8b74a93,a7fd376e-dd1c-4350-8c58-1913d130902c,2025-08-29 03:43:00 -2025-08-29 11:55:41+08:00,2025-08-29 12:00:52+08:00,444.0,4498.11,4489.03,4031.5199999999677,平空,6450e48b-f901-4907-b065-18e073f86534,7cfe2e33-9b17-4785-9e45-dd5654c483c2,2025-08-29 04:00:00 -2025-08-29 12:54:59+08:00,2025-08-29 12:58:10+08:00,670.0,4477.15,4471.43,3832.3999999995613,平空,13bb04ff-529a-48f4-a062-bdbda01abe9a,01a6ebd4-6c63-4e58-9f52-4317a83a6c27,2025-08-29 04:58:00 -2025-08-29 13:05:31+08:00,2025-08-29 13:06:05+08:00,671.0,4466.57,4472.34,-3871.670000000293,平空,5c439227-9432-48c1-8c70-184e65586599,398e954e-0534-4f4c-bdda-5d14d858afae,2025-08-29 05:06:00 -2025-08-29 13:17:39+08:00,2025-08-29 13:19:35+08:00,448.0,4461.42,4468.3,-3082.240000000049,平空,d770f2c0-6aed-4bc2-bee2-f98209775454,14ce65ce-8af2-4c07-8441-bdeea724197e,2025-08-29 05:19:00 -2025-08-29 13:59:25+08:00,2025-08-29 14:01:39+08:00,46.0,4476.01,4484.33,382.7199999999866,平多,1f80cf00-8910-42af-a7ac-dd2199579d04,96e160f6-0a35-4ac4-9f3e-295065a56092,2025-08-29 06:01:00 -2025-08-29 13:59:25+08:00,2025-08-29 14:01:39+08:00,400.0,4476.01,4484.33,3327.9999999998836,平多,1f80cf00-8910-42af-a7ac-dd2199579d04,db2ea541-8ece-4876-baa0-f803629d4675,2025-08-29 06:01:00 -2025-08-29 14:15:38+08:00,2025-08-29 14:18:12+08:00,448.0,4457.41,4451.26,2755.199999999837,平空,2616d754-2ae8-43c0-a382-46901e0dba21,913e0886-23e4-467d-932d-79e960df2947,2025-08-29 06:18:00 -2025-08-29 14:37:31+08:00,2025-08-29 14:39:31+08:00,449.0,4451.44,4451.34,-44.89999999975498,平多,9f225f1e-cdc5-42cc-8c22-6d39f68da6d6,db5c616d-faf7-4183-8e46-b95f09dbad99,2025-08-29 06:39:00 -2025-08-29 14:41:21+08:00,2025-08-29 14:44:17+08:00,449.0,4451.53,4455.7,1872.3300000000327,平多,5ba24885-5747-405a-8fa9-6a9749dbe6b4,f7e02df2-857b-4e3a-a6aa-c0d7362cb5bb,2025-08-29 06:44:00 -2025-08-29 15:01:14+08:00,2025-08-29 15:02:16+08:00,449.0,4448.83,4428.34,9200.009999999902,平空,a605bd22-e12e-44a4-9e1c-87c145bc5aa4,365ff72f-891a-4314-a005-d320d2074d5f,2025-08-29 07:02:00 -2025-08-29 15:12:00+08:00,2025-08-29 15:15:04+08:00,453.0,4412.37,4393.89,8371.439999999802,平空,03169227-80cc-4c41-89e5-7cbc59174c90,7939f969-7566-453d-a718-dfa6b96ee987,2025-08-29 07:15:00 -2025-08-29 15:44:10+08:00,2025-08-29 15:51:01+08:00,683.0,4387.22,4391.19,-2711.5099999995527,平空,e2151c19-3f56-4239-8368-77af88a0c2c1,f90b5024-cd5b-44d5-a140-4d6253d49d6a,2025-08-29 07:51:00 -2025-08-29 15:57:12+08:00,2025-08-29 16:00:46+08:00,400.0,4383.78,4387.09,-1324.00000000016,平空,f2affaff-2beb-481f-b346-c9453422f536,70cc7f5d-b472-40a1-b00b-7e4b032722fc,2025-08-29 08:00:00 -2025-08-29 15:57:12+08:00,2025-08-29 16:00:46+08:00,284.0,4383.78,4387.09,-940.0400000001137,平空,f2affaff-2beb-481f-b346-c9453422f536,676c76cd-7afa-40db-a0a7-89004bb9387b,2025-08-29 08:00:00 -2025-08-29 16:08:15+08:00,2025-08-29 16:11:24+08:00,383.0,4386.41,4376.76,3695.9499999998607,平空,da4365c6-5bed-4bff-824c-580b3be527bc,0fdf84b4-d9bd-419e-8fd0-037e8631eefd,2025-08-29 08:11:00 -2025-08-29 16:08:15+08:00,2025-08-29 16:11:24+08:00,300.0,4386.5,4376.76,2921.9999999999345,平空,940d2d22-8103-4bdd-8eaa-ade1277111da,0fdf84b4-d9bd-419e-8fd0-037e8631eefd,2025-08-29 08:11:00 -2025-08-29 16:17:21+08:00,2025-08-29 16:17:29+08:00,187.0,4364.59,4365.41,-153.33999999994558,平空,89b93201-dfd2-408c-a5de-b6ecd72424cd,db922d70-7a90-4cf4-9a17-a598fe213f8b,2025-08-29 08:17:00 -2025-08-29 16:17:21+08:00,2025-08-29 16:17:29+08:00,400.0,4364.59,4365.41,-327.9999999998836,平空,89b93201-dfd2-408c-a5de-b6ecd72424cd,574a0e60-b26e-46bf-a696-cae5868b7af2,2025-08-29 08:17:00 -2025-08-29 16:17:21+08:00,2025-08-29 16:17:29+08:00,100.0,4365.0,4365.41,-40.99999999998545,平空,e6be51d9-e746-45dd-8522-877cf7eafd33,574a0e60-b26e-46bf-a696-cae5868b7af2,2025-08-29 08:17:00 -2025-08-29 16:20:18+08:00,2025-08-29 16:20:36+08:00,688.0,4359.92,4362.29,-1630.559999999925,平空,d302895c-7318-4851-838d-396e7100fc09,719a6eff-a759-4947-8f0a-45f2ac94dfc4,2025-08-29 08:20:00 -2025-08-29 16:29:12+08:00,2025-08-29 16:33:21+08:00,527.0,4355.55,4362.63,3731.1599999999617,平多,f587dcce-e557-4b34-a55f-bf449234faca,e833feb6-8ba7-4fa5-adea-678f690e16b3,2025-08-29 08:33:00 -2025-08-29 16:29:12+08:00,2025-08-29 16:33:21+08:00,161.0,4355.55,4362.63,1139.8799999999883,平多,22c48502-01b1-4efd-9809-3bc8487b0a9b,e833feb6-8ba7-4fa5-adea-678f690e16b3,2025-08-29 08:33:00 -2025-08-29 16:37:39+08:00,2025-08-29 16:40:08+08:00,688.0,4356.21,4352.88,2291.03999999995,平空,b209c4ae-8c33-4ba5-ad48-7559d1eafc6a,f7b8931f-1568-4387-a132-8ac6f7f34891,2025-08-29 08:40:00 -2025-08-29 16:40:40+08:00,2025-08-29 16:41:12+08:00,140.0,4348.53,4353.19,-652.3999999999796,平空,9f88809c-8f0c-4dd4-b83c-552c6b78da3a,b2c3aa90-dcc1-469d-bf31-6c74b8e4099b,2025-08-29 08:41:00 -2025-08-29 16:40:40+08:00,2025-08-29 16:41:12+08:00,549.0,4348.53,4353.19,-2558.33999999992,平空,3efb68fb-7389-44fd-b48a-d749af57e70f,b2c3aa90-dcc1-469d-bf31-6c74b8e4099b,2025-08-29 08:41:00 -2025-08-29 18:24:56+08:00,2025-08-29 18:28:40+08:00,500.0,4354.11,4357.4,1644.9999999999818,平多,5b3555c7-8c22-45ad-a4b5-ef6b586335d5,88db631a-7f3b-4b85-9887-94f906259583,2025-08-29 10:28:00 -2025-08-29 18:24:56+08:00,2025-08-29 18:28:40+08:00,189.0,4354.11,4357.4,621.8099999999931,平多,f6c1a4f1-6aa0-4645-b991-503a320913be,6132d1a3-6d55-4517-b5ba-115198948b85,2025-08-29 10:28:00 -2025-08-29 18:30:45+08:00,2025-08-29 18:49:35+08:00,189.0,4351.51,4343.72,1472.3099999999931,平空,b67b7a3a-cf62-4731-bc9c-1d333f42e639,2d4f2adb-d806-4f37-8ff1-a46eddccc6b1,2025-08-29 10:49:00 -2025-08-29 18:30:45+08:00,2025-08-29 18:49:35+08:00,500.0,4351.51,4343.72,3894.999999999982,平空,0acabab2-2ab4-4921-82a0-df806d4eb40d,2d4f2adb-d806-4f37-8ff1-a46eddccc6b1,2025-08-29 10:49:00 -2025-08-29 18:58:56+08:00,2025-08-29 19:02:25+08:00,690.0,4345.89,4340.99,-3381.0000000003765,平多,b525febe-c7eb-4db9-a4f8-4a09406c9f7d,51ddc961-238a-4c9d-b985-e6ad6ef2aac7,2025-08-29 11:02:00 -2025-08-29 19:14:13+08:00,2025-08-29 19:18:33+08:00,689.0,4351.49,4346.64,-3341.649999999624,平多,da8dccbd-f79c-476b-9471-d28b719da66f,cfbfe97f-e085-41db-8679-58574bd165fd,2025-08-29 11:18:00 -2025-08-29 19:49:41+08:00,2025-08-29 19:51:55+08:00,690.0,4345.68,4340.66,-3463.800000000301,平多,98c03fb1-dca8-43ef-9ca7-0fe6d842946b,e0c7b8be-c842-412e-bb4f-e43b51fa53bb,2025-08-29 11:51:00 -2025-08-29 20:22:08+08:00,2025-08-29 20:30:35+08:00,687.0,4365.85,4411.23,31176.059999999452,平多,7ab49fe4-9bd7-4368-bb45-ffe9970e4999,c3d6e447-288e-48d1-8977-ccceda6a2e41,2025-08-29 12:30:00 -2025-08-29 20:31:05+08:00,2025-08-29 20:31:21+08:00,16.0,4439.0,4448.35,149.60000000000582,平多,76a58764-fd12-4fb4-8ee9-407aa2213a12,e3f58dbc-6a93-4c16-9dc3-7e351493f00f,2025-08-29 12:31:00 -2025-08-29 20:31:05+08:00,2025-08-29 20:31:21+08:00,659.0,4439.0,4448.35,6161.65000000024,平多,cdd4a741-4195-4fac-9896-35ee5c09a7b9,e3f58dbc-6a93-4c16-9dc3-7e351493f00f,2025-08-29 12:31:00 -2025-08-29 20:31:46+08:00,2025-08-29 20:33:05+08:00,180.0,4409.9,4406.3,-647.9999999999018,平多,a47f68a7-9565-4ea7-b3ab-770d376ffcea,46e071a8-871b-4373-92a5-8cd6cd46cc56,2025-08-29 12:33:00 -2025-08-29 20:31:46+08:00,2025-08-29 20:33:05+08:00,500.0,4409.9,4406.3,-1799.9999999997272,平多,a47f68a7-9565-4ea7-b3ab-770d376ffcea,c67209e2-0598-443d-85fa-752bdae6059b,2025-08-29 12:33:00 -2025-08-29 20:43:25+08:00,2025-08-29 20:44:07+08:00,684.0,4382.62,4386.13,-2400.8400000001493,平空,af3305f0-ec39-48fe-bf71-ac9acb281b25,7556c209-5046-4e8b-8682-99dc36803a62,2025-08-29 12:44:00 -2025-08-29 20:45:44+08:00,2025-08-29 20:49:11+08:00,102.0,4389.13,4407.06,1828.8600000000297,平多,a19435e4-fbf9-4217-bc5d-d7fc07d9818f,cc0577e9-e4b6-45fd-bf5a-47ccf6aec320,2025-08-29 12:49:00 -2025-08-29 20:45:44+08:00,2025-08-29 20:49:11+08:00,581.0,4389.13,4407.06,10417.33000000017,平多,a19435e4-fbf9-4217-bc5d-d7fc07d9818f,4fa96e6c-6692-426b-beca-c138c8505a82,2025-08-29 12:49:00 -2025-08-29 20:49:46+08:00,2025-08-29 20:53:14+08:00,500.0,4406.49,4406.02,234.99999999967258,平空,d11f3a55-a1d8-41ff-a979-778c232459c9,b2de5ff9-9281-4c2e-86bd-a071a5e1e864,2025-08-29 12:53:00 -2025-08-29 20:49:46+08:00,2025-08-29 20:53:14+08:00,180.0,4406.49,4406.02,84.59999999988213,平空,d11f3a55-a1d8-41ff-a979-778c232459c9,a4e3c4e5-4280-417c-8018-8386a63c318a,2025-08-29 12:53:00 -2025-08-29 21:00:24+08:00,2025-08-29 21:00:33+08:00,680.0,4408.35,4405.11,-2203.20000000047,平多,26e94954-9b31-48a9-9b2b-cb08da0f8e3e,14772435-8e33-4ee5-a87c-81342a7f8449,2025-08-29 13:00:00 -2025-08-29 21:01:47+08:00,2025-08-29 21:06:54+08:00,39.0,4406.15,4391.41,574.8599999999915,平空,8665f24a-3e13-4d3f-ad28-a702c79c73ed,7addab21-fcf3-4921-97ab-d77462067550,2025-08-29 13:06:00 -2025-08-29 21:01:47+08:00,2025-08-29 21:06:54+08:00,141.0,4406.15,4391.41,2078.339999999969,平空,0170663d-0cf1-43a4-8595-4511c59b3107,7addab21-fcf3-4921-97ab-d77462067550,2025-08-29 13:06:00 -2025-08-29 21:01:47+08:00,2025-08-29 21:06:54+08:00,500.0,4406.15,4391.41,7369.999999999891,平空,0170663d-0cf1-43a4-8595-4511c59b3107,3b754022-7c7c-4b14-8251-c2da4478df27,2025-08-29 13:06:00 -2025-08-29 21:10:41+08:00,2025-08-29 21:11:27+08:00,14.0,4400.55,4392.88,-107.38000000000102,平多,37e79409-f3ed-4e62-811c-6cc437396a41,f3a43d61-4d64-4d82-aada-31b38d441baa,2025-08-29 13:11:00 -2025-08-29 21:10:41+08:00,2025-08-29 21:11:27+08:00,67.0,4400.55,4392.79,-519.9200000000146,平多,37e79409-f3ed-4e62-811c-6cc437396a41,86bfa728-af41-4e41-9e87-d6ef88b1a063,2025-08-29 13:11:00 -2025-08-29 21:10:41+08:00,2025-08-29 21:11:27+08:00,600.0,4400.55,4392.88,-4602.000000000044,平多,37e79409-f3ed-4e62-811c-6cc437396a41,af01f0d0-8844-4267-8476-4000d0b2dd8b,2025-08-29 13:11:00 -2025-08-29 21:30:11+08:00,2025-08-29 21:34:27+08:00,72.0,4386.05,4373.6,896.3999999999869,平空,fecb81e1-3b36-4ae6-91ad-b6a2616ee608,aee7c322-ba5d-4b89-8b93-1c50ce5be75b,2025-08-29 13:34:00 -2025-08-29 21:30:11+08:00,2025-08-29 21:34:27+08:00,211.0,4386.05,4372.44,2871.710000000123,平空,fecb81e1-3b36-4ae6-91ad-b6a2616ee608,e20951ed-ff4e-4a06-8bb5-8112a72e38bf,2025-08-29 13:34:00 -2025-08-29 21:30:11+08:00,2025-08-29 21:34:27+08:00,99.0,4386.05,4372.44,1347.3900000000576,平空,fecb81e1-3b36-4ae6-91ad-b6a2616ee608,16329965-69b4-42a4-8145-79d1a0d2e92b,2025-08-29 13:34:00 -2025-08-29 21:30:11+08:00,2025-08-29 21:34:27+08:00,101.0,4386.29,4372.44,1398.8500000000367,平空,f1e4b54c-d392-4dc4-8f73-40a8733b85fe,16329965-69b4-42a4-8145-79d1a0d2e92b,2025-08-29 13:34:00 -2025-08-29 21:30:11+08:00,2025-08-29 21:34:27+08:00,200.0,4386.29,4372.44,2770.0000000000728,平空,f1e4b54c-d392-4dc4-8f73-40a8733b85fe,1b66a876-041a-480e-a9d6-428a3e301ec4,2025-08-29 13:34:00 -2025-08-30 08:15:30+08:00,2025-08-30 08:25:24+08:00,400.0,4343.62,4355.47,4740.0000000001455,平多,fb636839-9fb2-4e2f-bdb0-14bd57ade58a,6b8d4b73-132c-4c86-92f9-2a5df18943fd,2025-08-30 00:25:00 -2025-08-30 08:15:30+08:00,2025-08-30 08:25:24+08:00,290.0,4343.62,4355.47,3436.5000000001055,平多,fb636839-9fb2-4e2f-bdb0-14bd57ade58a,a744bd39-3c81-4cb1-a153-60ed71d6748f,2025-08-30 00:25:00 -2025-08-30 08:32:12+08:00,2025-08-30 08:35:26+08:00,64.0,4342.48,4337.98,-288.0,平多,e6185c1c-debd-4a9c-928c-edd28b360578,401ccb35-f82c-4df2-9a29-f9cd57481767,2025-08-30 00:35:00 -2025-08-30 08:32:12+08:00,2025-08-30 08:35:26+08:00,563.0,4342.48,4335.64,-3850.91999999957,平多,e6185c1c-debd-4a9c-928c-edd28b360578,69d6c400-d534-47b6-b2a8-8da09b2986aa,2025-08-30 00:35:00 -2025-08-30 08:32:12+08:00,2025-08-30 08:35:26+08:00,63.0,4342.48,4335.73,-425.25,平多,e6185c1c-debd-4a9c-928c-edd28b360578,4aa4a001-f8b0-4aea-93c3-546c71b81ee0,2025-08-30 00:35:00 -2025-08-30 08:37:25+08:00,2025-08-30 08:41:59+08:00,691.0,4336.85,4332.05,3316.8000000001257,平空,5cc6dd95-ec96-4864-a085-95b875673f0f,07f9b455-a026-41df-95c6-f9cf37f23a90,2025-08-30 00:41:00 -2025-08-30 09:26:28+08:00,2025-08-30 09:29:48+08:00,293.0,4326.54,4324.64,556.6999999998934,平空,ce7db548-7de1-448e-92c9-25139a5f23a4,70062cb1-9074-49a9-8e7f-b5b7bae639d4,2025-08-30 01:29:00 -2025-08-30 09:26:28+08:00,2025-08-30 09:29:48+08:00,400.0,4326.54,4323.46,1231.999999999971,平空,ce7db548-7de1-448e-92c9-25139a5f23a4,6145a0a3-248c-4822-8e8c-5efb6daf7d24,2025-08-30 01:29:00 -2025-08-30 09:51:41+08:00,2025-08-30 09:55:09+08:00,177.0,4312.57,4289.19,4138.260000000019,平空,4b786a41-410d-4c93-b1c6-30b118f9e7f2,f78be76a-092e-4e0e-b8c3-26867d78c1de,2025-08-30 01:55:00 -2025-08-30 09:51:41+08:00,2025-08-30 09:55:09+08:00,518.0,4312.57,4289.19,12110.840000000057,平空,96fbc46a-1dd3-4fc6-9e14-4a032e9464bf,f78be76a-092e-4e0e-b8c3-26867d78c1de,2025-08-30 01:55:00 -2025-08-30 09:55:49+08:00,2025-08-30 09:55:50+08:00,700.0,4282.58,4282.19,-273.0000000002292,平多,201dbee0-8f0d-427d-95d5-ef84e08a8aab,37ff5d0c-e10e-480c-91ca-0506e61330b6,2025-08-30 01:55:00 -2025-08-30 09:58:19+08:00,2025-08-30 09:58:59+08:00,700.0,4281.59,4280.23,-952.0000000004075,平多,0e651112-db3b-402d-a268-1ea200cf8729,65b07548-3473-4570-be22-0172c49bdb94,2025-08-30 01:58:00 -2025-08-30 10:00:09+08:00,2025-08-30 10:00:52+08:00,703.0,4264.04,4268.35,-3029.9300000002813,平空,d9703fdd-ea02-410d-8303-d1d13b94748f,17fca37e-fc89-48a9-92ed-671ab0b9088e,2025-08-30 02:00:00 -2025-08-30 10:01:23+08:00,2025-08-30 10:02:02+08:00,110.0,4268.54,4271.97,-377.300000000032,平空,022ce461-b78f-4127-9157-8c34a5e9272e,89468587-89ce-49cc-a9e3-343e24cb8036,2025-08-30 02:02:00 -2025-08-30 10:01:23+08:00,2025-08-30 10:02:02+08:00,592.0,4268.54,4271.97,-2030.5600000001723,平空,9bdcfab5-9b8e-447c-b4ac-a82724e2774d,89468587-89ce-49cc-a9e3-343e24cb8036,2025-08-30 02:02:00 -2025-08-30 10:02:55+08:00,2025-08-30 10:04:26+08:00,400.0,4275.14,4280.56,-2168.000000000029,平空,1b938bf4-dc99-4d2f-9e0b-c2fa5092d19d,4e6c40d8-e7c7-45ac-800e-5f71611479f1,2025-08-30 02:04:00 -2025-08-30 10:02:55+08:00,2025-08-30 10:04:26+08:00,141.0,4275.14,4280.56,-764.2200000000103,平空,1b938bf4-dc99-4d2f-9e0b-c2fa5092d19d,864390a3-33dd-4a47-a3c2-471b8a0104f1,2025-08-30 02:04:00 -2025-08-30 10:02:55+08:00,2025-08-30 10:04:26+08:00,160.0,4275.14,4280.56,-867.2000000000116,平空,7eb3eaf4-30fa-495d-a74c-61d725625c42,864390a3-33dd-4a47-a3c2-471b8a0104f1,2025-08-30 02:04:00 -2025-08-30 10:11:35+08:00,2025-08-30 10:18:43+08:00,232.0,4296.88,4306.91,2326.959999999941,平多,b1a002d6-951f-4912-b8cf-19bfc98f61ba,743a1e0f-48f3-43fe-9b6a-47536fa12ce1,2025-08-30 02:18:00 -2025-08-30 10:11:35+08:00,2025-08-30 10:18:43+08:00,466.0,4296.91,4306.91,4660.0,平多,94664c85-6be6-42d8-984a-f3293ed9750f,743a1e0f-48f3-43fe-9b6a-47536fa12ce1,2025-08-30 02:18:00 -2025-08-30 10:21:54+08:00,2025-08-30 10:27:07+08:00,696.0,4307.47,4306.32,800.4000000003798,平空,641e7574-db24-4c78-8782-566b13de1e39,817cbe73-8f5f-4c27-893c-ddfe59e1890d,2025-08-30 02:27:00 -2025-08-30 10:28:32+08:00,2025-08-30 10:35:18+08:00,500.0,4305.75,4311.46,2855.000000000018,平多,dee31b34-3e7f-4b74-8774-ccd70f3cb124,d37eec35-4b90-42c7-82e7-7a56e909d268,2025-08-30 02:35:00 -2025-08-30 10:28:32+08:00,2025-08-30 10:35:18+08:00,196.0,4305.75,4311.25,1078.0,平多,dee31b34-3e7f-4b74-8774-ccd70f3cb124,9cbf242a-7e93-4a3c-b798-6e3f7a88025d,2025-08-30 02:35:00 -2025-08-30 10:48:32+08:00,2025-08-30 10:57:53+08:00,695.0,4313.05,4303.81,6421.799999999848,平空,0efcab97-a0b6-4cd6-ad7e-22911ea32fa2,57fa177a-12c5-4127-91c4-289668a191ae,2025-08-30 02:57:00 -2025-08-30 11:03:45+08:00,2025-08-30 11:10:25+08:00,296.0,4308.11,4322.99,4404.480000000032,平多,36e3b573-d4be-4d54-9af3-8190731448c9,1e9213a7-3443-4209-a26a-d3e0feeaf325,2025-08-30 03:10:00 -2025-08-30 11:03:45+08:00,2025-08-30 11:10:25+08:00,400.0,4308.11,4322.99,5952.000000000044,平多,36e3b573-d4be-4d54-9af3-8190731448c9,a344d092-7b22-4230-8ba9-0702dd353041,2025-08-30 03:10:00 -2025-08-30 11:11:04+08:00,2025-08-30 11:17:45+08:00,693.0,4323.24,4328.87,3901.5900000000756,平多,c2e861bb-6de2-4dc0-aed3-7a385c0f34b8,d786c18b-8199-4335-ad6b-6115f39e089f,2025-08-30 03:17:00 -2025-08-30 11:18:36+08:00,2025-08-30 11:23:02+08:00,400.0,4333.76,4358.0,9695.999999999913,平多,3c5242f4-5844-46a7-8b84-a6c73fed27c7,d71ce99c-8d8e-4f15-be2e-85d21e853298,2025-08-30 03:23:00 -2025-08-30 11:18:36+08:00,2025-08-30 11:23:02+08:00,134.0,4333.76,4358.0,3248.1599999999708,平多,3c5242f4-5844-46a7-8b84-a6c73fed27c7,fe3607bd-9257-42ce-a0b3-06d882cb74af,2025-08-30 03:23:00 -2025-08-30 11:18:36+08:00,2025-08-30 11:23:02+08:00,158.0,4333.76,4358.0,3829.9199999999655,平多,ce9f82f0-70a9-44b1-9175-4ee31dbc8fd6,fe3607bd-9257-42ce-a0b3-06d882cb74af,2025-08-30 03:23:00 -2025-08-30 11:52:34+08:00,2025-08-30 11:57:42+08:00,69.0,4352.62,4352.32,-20.70000000001255,平多,a7a38452-b2e4-46c1-a14c-d85c0a79b250,078499df-67ff-4bdd-acaf-4e4fcf4457c0,2025-08-30 03:57:00 -2025-08-30 11:52:34+08:00,2025-08-30 11:57:42+08:00,620.0,4352.62,4352.32,-186.00000000011278,平多,76c6328b-ae56-4313-9b73-3bc43f644ef4,078499df-67ff-4bdd-acaf-4e4fcf4457c0,2025-08-30 03:57:00 -2025-08-30 12:01:25+08:00,2025-08-30 12:07:56+08:00,500.0,4351.41,4357.44,-3014.9999999998727,平空,2228c2d3-6d7b-4835-8065-42ce6ad3a5af,3544a077-b511-45ef-b088-c380928048ee,2025-08-30 04:07:00 -2025-08-30 12:01:25+08:00,2025-08-30 12:07:56+08:00,121.0,4351.7,4357.44,-694.5399999999736,平空,e33d8985-328c-4a44-829e-b8ebf6127582,3544a077-b511-45ef-b088-c380928048ee,2025-08-30 04:07:00 -2025-08-30 12:01:25+08:00,2025-08-30 12:07:56+08:00,527.0,4351.41,4357.44,-3177.809999999866,平空,6f169ccd-3d5a-4e35-9653-7efd0a1580dc,3544a077-b511-45ef-b088-c380928048ee,2025-08-30 04:07:00 -2025-08-30 13:01:32+08:00,2025-08-30 13:07:24+08:00,577.0,4353.26,4358.47,-3006.170000000021,平空,27412351-b7db-41d2-941e-014723b46c1a,f65cc5f5-8a78-4a59-bb58-cf0af4df8448,2025-08-30 05:07:00 -2025-08-30 13:01:33+08:00,2025-08-30 13:07:24+08:00,298.0,4353.26,4358.47,-1552.5800000000108,平空,cab58243-ce8d-4149-b279-3417eac36fcd,f65cc5f5-8a78-4a59-bb58-cf0af4df8448,2025-08-30 05:07:00 -2025-08-30 13:01:33+08:00,2025-08-30 13:07:24+08:00,273.0,4353.26,4359.1,-1594.3200000000397,平空,cab58243-ce8d-4149-b279-3417eac36fcd,c28367f5-fcb9-4345-82f2-c56451e2e462,2025-08-30 05:07:00 -2025-08-30 13:20:13+08:00,2025-08-30 13:32:38+08:00,1143.0,4373.03,4377.0,-4537.710000000291,平空,0f73205b-a08a-4fad-9e77-f5d2fbbf1aee,6d5e0a1c-53e6-4fac-a76a-77cb3341a976,2025-08-30 05:32:00 -2025-08-30 13:33:46+08:00,2025-08-30 13:42:14+08:00,1140.0,4385.31,4391.97,7592.399999999834,平多,11f0898c-7cba-49da-91d9-1fc6e9b57ab2,e7744350-f030-4566-bdeb-8a76060f8066,2025-08-30 05:42:00 -2025-08-30 13:48:01+08:00,2025-08-30 13:56:36+08:00,1137.0,4395.74,4382.93,14564.96999999942,平空,d00ac585-7cde-477d-af47-a5889aa5ef70,e99ef7df-85e7-46b4-bc8a-4a6f2fc811fe,2025-08-30 05:56:00 -2025-08-30 13:58:04+08:00,2025-08-30 14:03:08+08:00,1141.0,4381.43,4385.01,-4084.779999999917,平空,76216a51-657b-4659-86cb-2295aa642dac,8a9ab27e-38f2-4ec3-bbaf-642afd20a6e5,2025-08-30 06:03:00 -2025-08-30 14:10:44+08:00,2025-08-30 14:15:13+08:00,601.0,4383.15,4377.63,3317.5199999997158,平空,587020d7-a3eb-4e44-b6c7-5c95b8c5451a,8ecfa693-c528-405b-8db4-0b02ccc7b9b3,2025-08-30 06:15:00 -2025-08-30 14:10:44+08:00,2025-08-30 14:15:13+08:00,500.0,4383.15,4377.63,2759.9999999997635,平空,587020d7-a3eb-4e44-b6c7-5c95b8c5451a,babe1585-607c-4004-9aa9-19e1f5374ac1,2025-08-30 06:15:00 -2025-08-30 14:10:44+08:00,2025-08-30 14:15:13+08:00,39.0,4383.15,4377.63,215.27999999998156,平空,587020d7-a3eb-4e44-b6c7-5c95b8c5451a,ab4e9d81-4133-42b0-9460-9a2efd36ec0b,2025-08-30 06:15:00 -2025-08-30 14:26:36+08:00,2025-08-30 14:33:14+08:00,1140.0,4384.3,4391.39,8082.600000000166,平多,f703a5cc-3428-4796-a288-bfa6442800cb,a4e60efd-9afc-48b1-8850-6054e1330780,2025-08-30 06:33:00 -2025-08-30 14:45:13+08:00,2025-08-30 14:52:41+08:00,1137.0,4395.22,4390.35,5537.189999999876,平空,b1f16517-7b15-43a4-a3e7-8f0b60f9f732,0445e9e3-c80c-4beb-a121-18b6094f52eb,2025-08-30 06:52:00 -2025-08-30 15:20:15+08:00,2025-08-30 15:40:40+08:00,52.0,4392.17,4398.92,-351.0,平空,504ad303-3016-470e-9deb-a717d25a761c,9a648f36-ef00-45a4-8e56-868ab74acce6,2025-08-30 07:40:00 -2025-08-30 15:20:15+08:00,2025-08-30 15:40:40+08:00,500.0,4392.17,4398.92,-3375.0,平空,59f674e3-aff1-4b79-b8b0-c650b299d27d,9a648f36-ef00-45a4-8e56-868ab74acce6,2025-08-30 07:40:00 -2025-08-30 15:20:15+08:00,2025-08-30 15:40:40+08:00,586.0,4392.17,4398.92,-3955.5,平空,77548f6a-59ae-4ac2-880c-ea1f5679f507,9a648f36-ef00-45a4-8e56-868ab74acce6,2025-08-30 07:40:00 -2025-08-30 15:46:04+08:00,2025-08-30 15:50:09+08:00,1134.0,4408.51,4402.78,-6497.820000000536,平多,76eb4bce-ff36-4d4c-b97a-cda6d9f7b544,63f7184c-7211-417f-b594-e39436d14940,2025-08-30 07:50:00 -2025-08-30 16:11:35+08:00,2025-08-30 16:32:13+08:00,400.0,4393.35,4389.12,1692.0000000001892,平空,be9ff2ce-0d9e-4184-8d43-c49b33c71c95,754db465-b458-43a3-b2b5-3fb4f9fc2aaf,2025-08-30 08:32:00 -2025-08-30 16:11:35+08:00,2025-08-30 16:32:13+08:00,500.0,4393.35,4389.12,2115.0000000002365,平空,cdf388db-68a2-47ea-ba94-431f02dadeac,754db465-b458-43a3-b2b5-3fb4f9fc2aaf,2025-08-30 08:32:00 -2025-08-30 16:11:35+08:00,2025-08-30 16:32:13+08:00,237.0,4393.35,4389.12,1002.5100000001121,平空,e6f8d379-c20f-4a9d-90a4-7a5904bff1f9,754db465-b458-43a3-b2b5-3fb4f9fc2aaf,2025-08-30 08:32:00 -2025-08-30 17:05:10+08:00,2025-08-30 17:11:26+08:00,133.0,4390.54,4387.01,469.48999999996613,平空,d4db2208-ba63-42c7-af51-9cec92bfe6f1,46858333-121c-4020-9567-bc44d63dec01,2025-08-30 09:11:00 -2025-08-30 17:05:10+08:00,2025-08-30 17:11:26+08:00,190.0,4390.54,4387.01,670.6999999999516,平空,d4db2208-ba63-42c7-af51-9cec92bfe6f1,4d19376a-cfb7-4da9-8859-982e073624d1,2025-08-30 09:11:00 -2025-08-30 17:05:10+08:00,2025-08-30 17:11:26+08:00,310.0,4390.54,4387.01,1094.299999999921,平空,00dda8f5-7156-4d25-9ea0-29e5fb2a4aca,4d19376a-cfb7-4da9-8859-982e073624d1,2025-08-30 09:11:00 -2025-08-30 17:05:10+08:00,2025-08-30 17:11:26+08:00,505.0,4390.54,4387.01,1782.6499999998714,平空,00dda8f5-7156-4d25-9ea0-29e5fb2a4aca,e28b9838-7c48-4c78-a369-8259844cc3f4,2025-08-30 09:11:00 -2025-08-30 17:18:39+08:00,2025-08-30 17:28:37+08:00,1139.0,4389.73,4385.08,-5296.349999999586,平多,2789c169-8a5d-47da-a6f9-6800e72ec26e,cd9481fb-33de-4e75-beb8-119ace92b5f6,2025-08-30 09:28:00 -2025-08-30 17:31:17+08:00,2025-08-30 17:37:08+08:00,1141.0,4379.77,4384.13,-4974.759999999626,平空,434fc13a-925d-4abd-8677-0cd2b1a412f0,1e63ca1f-7f77-4ed9-a885-159f5dac641e,2025-08-30 09:37:00 -2025-08-30 17:44:10+08:00,2025-08-30 17:48:40+08:00,1140.0,4384.13,4388.17,-4605.5999999999585,平空,288b4dc7-affd-4b36-897a-e02a024dbae0,70c0e310-219d-45d2-a91d-6b685af4a065,2025-08-30 09:48:00 -2025-08-30 17:50:34+08:00,2025-08-30 17:54:02+08:00,1138.0,4389.94,4393.0,3482.2800000004554,平多,b78acf6a-d3b3-44c2-b484-ad95dfedd167,9473c228-7657-44cd-9038-38aeb833c3ab,2025-08-30 09:54:00 -2025-08-30 18:05:09+08:00,2025-08-30 18:07:30+08:00,1138.0,4392.24,4394.52,2594.640000000745,平多,44cd4f02-5250-47d0-8e71-a66f856405ba,81abc1fa-1789-4f69-aaaa-2da1f3f34186,2025-08-30 10:07:00 -2025-08-31 10:28:55+08:00,2025-08-31 10:34:47+08:00,326.0,4450.3,4446.25,-1320.3000000000593,平多,0fe00795-d7d9-4586-b864-e445017c7f9d,716e265c-d39a-46b3-92e2-99f5d8a6b45f,2025-08-31 02:34:00 -2025-08-31 10:28:55+08:00,2025-08-31 10:34:47+08:00,572.0,4450.3,4446.25,-2316.600000000104,平多,0fe00795-d7d9-4586-b864-e445017c7f9d,e7b360d6-da94-4cb7-b8c7-0b10db53a03b,2025-08-31 02:34:00 -2025-08-31 11:08:10+08:00,2025-08-31 11:12:01+08:00,897.0,4454.6,4458.68,-3659.7599999999347,平空,c31d66e2-a558-4b86-a520-3a9eb9d55346,f737efdc-5818-4bc5-b3db-1da76e7caf71,2025-08-31 03:12:00 -2025-08-31 11:24:10+08:00,2025-08-31 11:27:33+08:00,508.0,4457.8,4453.59,-2138.6800000000185,平多,38413547-9d48-43fc-a2be-12d2a8e0cd9f,ce5c15c0-d938-4b48-ab08-807531847f2e,2025-08-31 03:27:00 -2025-08-31 11:24:10+08:00,2025-08-31 11:27:33+08:00,389.0,4457.8,4453.59,-1637.6900000000142,平多,816792ec-d409-4688-b7fd-2ee3e3f4491e,ce5c15c0-d938-4b48-ab08-807531847f2e,2025-08-31 03:27:00 -2025-08-31 11:49:43+08:00,2025-08-31 11:53:50+08:00,500.0,4462.28,4469.74,3730.000000000018,平多,b1e2c3bf-db41-4762-b152-7a6a469c8cdb,52c185f1-3f74-42b6-afe5-6032df9dcb11,2025-08-31 03:53:00 -2025-08-31 11:49:43+08:00,2025-08-31 11:53:50+08:00,396.0,4462.28,4469.74,2954.1600000000144,平多,b1e2c3bf-db41-4762-b152-7a6a469c8cdb,5fbbe739-8d3c-4aab-8333-7860bdca1d69,2025-08-31 03:53:00 -2025-08-31 11:54:26+08:00,2025-08-31 12:00:20+08:00,293.0,4475.79,4483.53,2267.819999999936,平多,614c6489-c5a5-451d-a2a0-699e38d5a695,5da7f47f-33e3-45b8-9dfe-8232807978fc,2025-08-31 04:00:00 -2025-08-31 11:54:26+08:00,2025-08-31 12:00:20+08:00,200.0,4475.79,4483.53,1547.9999999999563,平多,c443995b-f986-4a55-b6d9-59c43fa71fd2,5da7f47f-33e3-45b8-9dfe-8232807978fc,2025-08-31 04:00:00 -2025-08-31 11:54:26+08:00,2025-08-31 12:00:20+08:00,400.0,4475.79,4483.53,3095.9999999999127,平多,c443995b-f986-4a55-b6d9-59c43fa71fd2,7d96c3c9-b227-48f3-b9fe-9a5c08871cfe,2025-08-31 04:00:00 -2025-08-31 12:15:25+08:00,2025-08-31 12:25:03+08:00,894.0,4473.35,4467.05,5632.200000000163,平空,d5064049-73a7-4a01-8d14-3d0ba056d572,b4537133-4056-4afc-80c2-7656e28cff88,2025-08-31 04:25:00 -2025-08-31 12:30:21+08:00,2025-08-31 12:33:51+08:00,500.0,4461.85,4465.99,-2069.999999999709,平空,516d9754-0fe4-4f2e-9289-5827765f7c67,13f52cac-de10-4bba-93d5-8376ba2c5139,2025-08-31 04:33:00 -2025-08-31 12:30:21+08:00,2025-08-31 12:33:51+08:00,100.0,4461.85,4465.88,-402.99999999997453,平空,516d9754-0fe4-4f2e-9289-5827765f7c67,a77196b2-cc47-482b-8fb0-a140d25da936,2025-08-31 04:33:00 -2025-08-31 12:30:21+08:00,2025-08-31 12:33:51+08:00,296.0,4461.85,4465.99,-1225.4399999998277,平空,516d9754-0fe4-4f2e-9289-5827765f7c67,c529dbf2-2dd4-46aa-b5b6-dd0ed4f473e2,2025-08-31 04:33:00 -2025-08-31 12:42:50+08:00,2025-08-31 12:48:13+08:00,661.0,4464.2,4468.3,-2710.1000000002405,平空,0f3ef65f-e754-4229-87e6-e0f102020ce9,bce7cdc5-2c37-4bda-9b2a-05c865dd69ba,2025-08-31 04:48:00 -2025-08-31 12:42:50+08:00,2025-08-31 12:48:13+08:00,235.0,4464.2,4468.3,-963.5000000000855,平空,10e40e0b-a920-4e80-8d17-ea6f73d645e3,bce7cdc5-2c37-4bda-9b2a-05c865dd69ba,2025-08-31 04:48:00 -2025-08-31 13:31:35+08:00,2025-08-31 13:38:28+08:00,100.0,4453.99,4450.23,-376.0000000000218,平多,e65553ad-4738-4b5f-af08-c7373301aef8,ce3b836f-f3c8-4e27-bdd5-33b9e1ba2bc9,2025-08-31 05:38:00 -2025-08-31 13:31:35+08:00,2025-08-31 13:38:28+08:00,600.0,4454.98,4450.23,-2850.0,平多,57f64aba-942f-4563-a3c7-9dfdfeaf98e4,ce3b836f-f3c8-4e27-bdd5-33b9e1ba2bc9,2025-08-31 05:38:00 -2025-08-31 13:31:35+08:00,2025-08-31 13:38:28+08:00,198.0,4454.98,4450.23,-940.5,平多,597f272b-ce3c-45bf-99ee-4abe2f630972,ce3b836f-f3c8-4e27-bdd5-33b9e1ba2bc9,2025-08-31 05:38:00 -2025-08-31 14:22:05+08:00,2025-08-31 14:23:54+08:00,275.0,4441.46,4446.28,-1325.49999999992,平空,eafee2f8-8601-47c7-bfe0-2f0a35bd1411,3744b6fa-5971-44d1-885f-7c7f93da8e70,2025-08-31 06:23:00 -2025-08-31 14:22:05+08:00,2025-08-31 14:23:54+08:00,100.0,4442.21,4446.28,-406.9999999999709,平空,702cd777-dc0b-4602-8c19-618520cf46f4,3744b6fa-5971-44d1-885f-7c7f93da8e70,2025-08-31 06:23:00 -2025-08-31 14:22:05+08:00,2025-08-31 14:23:54+08:00,525.0,4441.46,4446.28,-2530.499999999847,平空,be46bffb-290a-477a-81d9-fd4e7c1d2f3c,3744b6fa-5971-44d1-885f-7c7f93da8e70,2025-08-31 06:23:00 -2025-08-31 14:33:49+08:00,2025-08-31 14:39:00+08:00,900.0,4439.81,4444.22,-3968.999999999869,平空,f25e9b2a-1bb7-4bc5-852e-5c953f222f61,2d0c6c6c-070a-498b-ade7-0235a6d3e644,2025-08-31 06:39:00 -2025-08-31 14:40:14+08:00,2025-08-31 14:47:51+08:00,411.0,4444.0,4439.28,-1939.9200000001047,平多,46e5c712-8dff-423d-805d-d09da5e43571,9a2c96f9-3c09-4cca-8539-7251e96e99df,2025-08-31 06:47:00 -2025-08-31 14:40:14+08:00,2025-08-31 14:47:51+08:00,400.0,4444.0,4439.13,-1947.9999999999563,平多,46e5c712-8dff-423d-805d-d09da5e43571,f92ff1ec-cfa2-4576-bcbb-978910e5200c,2025-08-31 06:47:00 -2025-08-31 14:40:14+08:00,2025-08-31 14:47:51+08:00,89.0,4444.0,4439.13,-433.4299999999903,平多,46e5c712-8dff-423d-805d-d09da5e43571,5f572e4d-e1a7-45cf-bc1b-b55ce56f12b4,2025-08-31 06:47:00 -2025-08-31 14:51:09+08:00,2025-08-31 14:57:17+08:00,450.0,4436.57,4435.16,634.4999999999345,平空,3d5b8a22-edc9-4076-8d61-23f8ed561202,9c959838-3125-426e-abaf-d09fc309fda2,2025-08-31 06:57:00 -2025-08-31 15:30:46+08:00,2025-08-31 15:33:17+08:00,449.0,4450.96,4446.74,-1894.7800000001143,平多,45ada65c-b8e3-4316-9414-5faf1dcad582,57564f53-121e-47ac-8804-e448bb39c82c,2025-08-31 07:33:00 -2025-08-31 16:05:31+08:00,2025-08-31 16:08:48+08:00,448.0,4461.21,4457.34,-1733.759999999951,平多,050937e7-f1e4-459e-982a-8d5263e718cb,ad5c9d31-f050-4981-9f51-7852dbf0df37,2025-08-31 08:08:00 -2025-08-31 16:20:45+08:00,2025-08-31 16:24:22+08:00,48.0,4463.0,4462.93,-3.35999999998603,平多,e41030f3-095f-4e36-b465-e7f7d20b2972,83b7259d-91f7-485a-92ee-37c94790c7f4,2025-08-31 08:24:00 -2025-08-31 16:20:45+08:00,2025-08-31 16:24:22+08:00,400.0,4463.0,4462.93,-27.999999999883585,平多,e41030f3-095f-4e36-b465-e7f7d20b2972,de316218-6bb2-48c0-b540-fc4babf5ce9b,2025-08-31 08:24:00 -2025-08-31 17:24:37+08:00,2025-08-31 17:27:28+08:00,447.0,4473.73,4467.56,2757.989999999626,平空,b8d42b12-b7c8-465d-a67b-56085ceae48f,74ed9f75-4d45-47a8-a636-5a1cbe5511ce,2025-08-31 09:27:00 -2025-08-31 17:48:57+08:00,2025-08-31 17:52:50+08:00,448.0,4463.45,4470.31,3073.2800000002608,平多,9b9c8688-3c74-48c3-b1bf-6bbc162b3edf,70a47e37-f8fb-440f-9ea6-50ffbf8055f6,2025-08-31 09:52:00 -2025-08-31 17:59:19+08:00,2025-08-31 18:00:09+08:00,152.0,4461.24,4465.19,-600.3999999999724,平空,28a00768-c1e1-42d0-b75e-f7b6b8608b60,9263141f-f5ac-4173-b3c2-b8e2f7ba0985,2025-08-31 10:00:00 -2025-08-31 17:59:19+08:00,2025-08-31 18:00:09+08:00,520.0,4461.24,4465.19,-2053.9999999999054,平空,28a00768-c1e1-42d0-b75e-f7b6b8608b60,32d89f55-ae9c-49a6-8e2a-e47b5f4167ab,2025-08-31 10:00:00 -2025-08-31 18:07:59+08:00,2025-08-31 18:12:30+08:00,672.0,4459.1,4452.94,4139.520000000513,平空,765d6b9a-0683-4dca-b76c-6e9a2ea65cd5,7f047d14-dac5-4fca-94ed-c0fdfec63578,2025-08-31 10:12:00 -2025-08-31 18:17:18+08:00,2025-08-31 18:29:14+08:00,673.0,4451.84,4455.42,2409.339999999951,平多,755ad988-d66e-4bc8-9907-b69112e3a11a,775a3323-bbd4-4e5c-ae56-d68e178eb05e,2025-08-31 10:29:00 -2025-08-31 22:07:31+08:00,2025-08-31 22:13:15+08:00,1122.0,4453.82,4450.0,4286.0399999996735,平空,c3c54d31-6a99-45ad-8139-546ac61bed34,ef4df9cc-3394-4d53-8fed-7e261a8b0c60,2025-08-31 14:13:00 -2025-08-31 22:14:11+08:00,2025-08-31 22:20:53+08:00,500.0,4453.63,4459.25,2809.9999999999454,平多,18042f61-552b-41bb-b228-8d8031ee3c14,ad7b6056-101b-49e4-9b9f-dea68880cd52,2025-08-31 14:20:00 -2025-08-31 22:14:11+08:00,2025-08-31 22:20:53+08:00,122.0,4453.63,4459.25,685.6399999999867,平多,208d18b8-941b-4ce3-aa29-2f5fb074cc01,ad7b6056-101b-49e4-9b9f-dea68880cd52,2025-08-31 14:20:00 -2025-08-31 22:14:11+08:00,2025-08-31 22:20:53+08:00,500.0,4453.63,4459.25,2809.9999999999454,平多,4e557687-e4c4-4f2d-85b6-364f6e5fd752,ad7b6056-101b-49e4-9b9f-dea68880cd52,2025-08-31 14:20:00 -2025-08-31 23:05:00+08:00,2025-08-31 23:09:16+08:00,1117.0,4473.11,4471.27,-2055.2799999991466,平多,41d06c42-ac03-418f-9451-6f5a5fdda71a,5cd65f94-490b-4bb2-bd42-d1a64942d201,2025-08-31 15:09:00 -2025-09-01 09:07:41+08:00,2025-09-01 09:11:05+08:00,400.0,4394.0,4383.39,4243.999999999869,平空,092adf53-a461-4de7-8e04-9bfe1de8c387,b3e26049-21f9-495e-9a96-7498f06dcd82,2025-09-01 01:11:00 -2025-09-01 09:07:41+08:00,2025-09-01 09:11:05+08:00,55.0,4394.0,4383.39,583.549999999982,平空,092adf53-a461-4de7-8e04-9bfe1de8c387,0614bd80-655c-49d4-b895-798f56f54803,2025-09-01 01:11:00 -2025-09-01 09:20:32+08:00,2025-09-01 09:25:17+08:00,454.0,4399.41,4396.45,-1343.8400000000165,平多,ef1554ec-bb75-4b5d-a3fd-03325d8ce248,11fb1482-9f6a-4b3f-aec4-e0e9f46ec4eb,2025-09-01 01:25:00 -2025-09-01 09:31:04+08:00,2025-09-01 09:32:03+08:00,453.0,4409.02,4405.26,-1703.2800000000989,平多,8050d64e-1c53-40e1-89e7-68481d09e689,079730bc-d8ce-413a-a77f-a889bed73972,2025-09-01 01:32:00 -2025-09-01 09:34:47+08:00,2025-09-01 09:37:04+08:00,453.0,4405.92,4417.68,5327.280000000099,平多,4f3b316a-37b6-43b9-a742-28760ce5267b,18f19970-4048-485b-b95a-00b3e804d0d9,2025-09-01 01:37:00 -2025-09-01 10:11:29+08:00,2025-09-01 10:16:05+08:00,400.0,4400.12,4391.86,3304.0000000000873,平空,9b7a45aa-4ed0-4fa2-9c77-ee71e8319ecf,6adc05fa-6727-4961-8ae9-ef7f248ce06f,2025-09-01 02:16:00 -2025-09-01 10:11:30+08:00,2025-09-01 10:16:05+08:00,54.0,4400.12,4391.86,446.0400000000118,平空,a2b8e0df-1a70-4cbe-b513-734c169a45e5,6adc05fa-6727-4961-8ae9-ef7f248ce06f,2025-09-01 02:16:00 -2025-09-01 10:29:03+08:00,2025-09-01 10:30:26+08:00,683.0,4389.33,4386.21,-2130.9599999999255,平多,9295d00e-a050-472f-b008-426e40eb0f71,73e0f83a-583a-4ae6-8dc3-41c2f37bb58e,2025-09-01 02:30:00 -2025-09-01 10:35:00+08:00,2025-09-01 10:36:12+08:00,685.0,4375.45,4379.38,-2692.0500000001994,平空,8e5b463d-f4fe-47f3-b39b-ec3721c79e7a,2f96c834-2272-491f-8bc1-8cbe6c4ea452,2025-09-01 02:36:00 -2025-09-01 11:03:26+08:00,2025-09-01 11:05:42+08:00,684.0,4383.62,4391.35,5287.3200000003235,平多,ad2ab2b0-b070-4027-ba77-039ae801c30b,ab66e717-8f29-4ebe-80c7-165f36806e5f,2025-09-01 03:05:00 -2025-09-01 11:12:18+08:00,2025-09-01 11:15:56+08:00,184.0,4382.88,4374.85,1477.5199999999531,平空,60e70f9e-3ed0-402a-a33e-0d9104ac17b6,2c200cb7-b183-474a-b78f-bba9e592c8c0,2025-09-01 03:15:00 -2025-09-01 11:12:18+08:00,2025-09-01 11:15:56+08:00,500.0,4382.88,4374.85,4014.9999999998727,平空,4f57713c-6a4c-42d4-aa6b-c03bae934835,2c200cb7-b183-474a-b78f-bba9e592c8c0,2025-09-01 03:15:00 -2025-09-01 11:34:38+08:00,2025-09-01 11:41:09+08:00,286.0,4370.18,4382.21,3440.579999999927,平多,7716be61-be89-4b30-8939-ff0c2c42b4e2,15dadfe0-75d8-4cc7-838d-931a1d21ccf8,2025-09-01 03:41:00 -2025-09-01 11:34:38+08:00,2025-09-01 11:41:09+08:00,400.0,4370.18,4382.21,4811.999999999898,平多,7716be61-be89-4b30-8939-ff0c2c42b4e2,9ae0cd54-0bfb-4a24-8c7a-1a247e078eb8,2025-09-01 03:41:00 -2025-09-01 11:54:59+08:00,2025-09-01 11:58:53+08:00,10.0,4396.0,4403.97,79.70000000000255,平多,b0876036-7e56-46cb-bddd-ccabb6519f7c,600628e2-049f-44c8-a905-46ea1135e601,2025-09-01 03:58:00 -2025-09-01 11:54:59+08:00,2025-09-01 11:58:53+08:00,145.0,4396.47,4403.97,1087.5,平多,4bc131e8-70e0-4140-a2c8-b054e0507acd,600628e2-049f-44c8-a905-46ea1135e601,2025-09-01 03:58:00 -2025-09-01 11:54:59+08:00,2025-09-01 11:58:53+08:00,355.0,4396.47,4403.97,2662.5,平多,4bc131e8-70e0-4140-a2c8-b054e0507acd,9d3eca96-2443-4c6e-b40e-1020bde26895,2025-09-01 03:58:00 -2025-09-01 11:54:59+08:00,2025-09-01 11:58:53+08:00,172.0,4396.47,4403.97,1290.0,平多,86ab0723-57a8-4e31-9000-9b73f49ad308,9d3eca96-2443-4c6e-b40e-1020bde26895,2025-09-01 03:58:00 -2025-09-01 12:19:34+08:00,2025-09-01 12:23:09+08:00,500.0,4389.68,4388.07,805.000000000291,平空,2aec9027-7a84-45c2-83d3-8c5871d90106,95aa0191-4e59-46b0-b538-e0a3fd31a029,2025-09-01 04:23:00 -2025-09-01 12:19:34+08:00,2025-09-01 12:23:09+08:00,87.0,4389.68,4388.0,146.16000000002532,平空,2aec9027-7a84-45c2-83d3-8c5871d90106,861ff638-8ec8-4a6a-bafa-74206b093040,2025-09-01 04:23:00 -2025-09-01 12:19:34+08:00,2025-09-01 12:23:09+08:00,52.0,4389.68,4388.07,83.72000000003027,平空,2aec9027-7a84-45c2-83d3-8c5871d90106,6cff4ab5-d999-4dda-87e2-067c9adbd240,2025-09-01 04:23:00 -2025-09-01 12:19:34+08:00,2025-09-01 12:23:09+08:00,500.0,4389.68,4388.07,805.000000000291,平空,2aec9027-7a84-45c2-83d3-8c5871d90106,4dc3eeb9-b54d-4820-bc73-2172e8e5fd66,2025-09-01 04:23:00 -2025-09-01 12:52:26+08:00,2025-09-01 12:56:26+08:00,1141.0,4381.97,4385.85,4427.0800000001245,平多,a3ef0945-101d-4f17-9cda-711fe44e2cf1,ab314993-0d4e-4632-8bcd-66aaaef57066,2025-09-01 04:56:00 -2025-09-01 13:11:24+08:00,2025-09-01 13:12:28+08:00,475.0,4363.3,4368.36,-2403.499999999758,平空,4d1d7cf6-26fe-44f0-be21-d10a9871ae1a,53f10353-21b1-41c1-8554-18c5bac4991a,2025-09-01 05:12:00 -2025-09-01 13:11:24+08:00,2025-09-01 13:12:28+08:00,400.0,4363.3,4368.36,-2023.9999999997963,平空,63978423-878f-4bc0-8ac6-7526d1aa3b24,53f10353-21b1-41c1-8554-18c5bac4991a,2025-09-01 05:12:00 -2025-09-01 13:11:24+08:00,2025-09-01 13:12:28+08:00,500.0,4363.3,4368.36,-2529.9999999997453,平空,9736d4ed-bfd4-4fb4-a2b9-7a335070a480,53f10353-21b1-41c1-8554-18c5bac4991a,2025-09-01 05:12:00 -2025-09-01 13:19:17+08:00,2025-09-01 13:20:04+08:00,1376.0,4357.3,4364.42,-9797.11999999985,平空,9d7b259b-c1ec-4d54-83c5-e1588347d99f,a63b68c2-d467-4b4b-992a-175e562a59cd,2025-09-01 05:20:00 -2025-09-01 13:23:06+08:00,2025-09-01 13:33:39+08:00,291.0,4390.89,4384.71,-1798.3800000000847,平多,348b7ba0-df18-4d21-b652-1c54dc5b4635,2a709f71-d330-49c0-9759-3b65a140431c,2025-09-01 05:33:00 -2025-09-01 13:23:06+08:00,2025-09-01 13:33:39+08:00,300.0,4390.89,4384.71,-1854.0000000000873,平多,c8c60f9e-a45b-4f5a-b000-a1a436757403,2a709f71-d330-49c0-9759-3b65a140431c,2025-09-01 05:33:00 -2025-09-01 13:23:06+08:00,2025-09-01 13:33:39+08:00,300.0,4390.89,4384.71,-1854.0000000000873,平多,970891fc-d2ec-4c54-a196-7a450a88c968,2a709f71-d330-49c0-9759-3b65a140431c,2025-09-01 05:33:00 -2025-09-01 13:23:06+08:00,2025-09-01 13:33:39+08:00,20.0,4390.01,4384.71,-106.00000000000364,平多,71cd000e-8c95-4f6f-a32f-1440db6e8c0d,2a709f71-d330-49c0-9759-3b65a140431c,2025-09-01 05:33:00 -2025-09-01 13:49:13+08:00,2025-09-01 13:54:15+08:00,287.0,4396.35,4396.21,-40.18000000009397,平多,83a1a14a-a4e3-40f1-86bd-915987501b35,4c298f23-9a76-4a0f-8bc1-f8ed23f12ede,2025-09-01 05:54:00 -2025-09-01 13:49:13+08:00,2025-09-01 13:54:15+08:00,200.0,4396.35,4396.21,-28.000000000065484,平多,83a1a14a-a4e3-40f1-86bd-915987501b35,46728c29-6645-408a-bba2-07f01cd5d06d,2025-09-01 05:54:00 -2025-09-01 13:49:13+08:00,2025-09-01 13:54:15+08:00,13.0,4396.35,4396.21,-1.8200000000042564,平多,83a1a14a-a4e3-40f1-86bd-915987501b35,c4cb8611-b4dd-41fd-95c2-c9455c1237e6,2025-09-01 05:54:00 -2025-09-01 13:49:13+08:00,2025-09-01 13:54:15+08:00,187.0,4396.35,4396.21,-26.180000000061227,平多,47230a4e-8ee9-4d68-aa51-01753afc623b,c4cb8611-b4dd-41fd-95c2-c9455c1237e6,2025-09-01 05:54:00 -2025-09-01 13:49:13+08:00,2025-09-01 13:54:15+08:00,213.0,4396.35,4396.13,-46.86000000005424,平多,47230a4e-8ee9-4d68-aa51-01753afc623b,e06fcad9-5742-4c94-82eb-2f34884e3f4a,2025-09-01 05:54:00 -2025-09-01 13:49:14+08:00,2025-09-01 13:54:15+08:00,9.0,4396.35,4396.13,-1.980000000002292,平多,1743d43c-c642-434b-940f-b6d33e6718b9,e06fcad9-5742-4c94-82eb-2f34884e3f4a,2025-09-01 05:54:00 -2025-09-01 15:34:19+08:00,2025-09-01 15:35:08+08:00,403.0,4429.5,4426.01,-1406.469999999912,平多,e9dad14a-702d-4396-a259-38e6c3b62876,76c3e1c9-aeee-41bd-b8d4-37e8948af1c4,2025-09-01 07:35:00 -2025-09-01 15:34:19+08:00,2025-09-01 15:35:08+08:00,500.0,4429.5,4426.01,-1744.9999999998909,平多,431b7e4b-b81e-4626-a6de-f5acd5a7cf20,76c3e1c9-aeee-41bd-b8d4-37e8948af1c4,2025-09-01 07:35:00 -2025-09-01 15:36:02+08:00,2025-09-01 15:36:51+08:00,780.0,4424.4,4419.44,-3868.8000000000284,平多,d7ba8670-d0d7-4817-b30f-ed7d2ba4fd3c,74c07207-3acc-4f9c-b98b-ae54e4085d96,2025-09-01 07:36:00 -2025-09-01 15:36:02+08:00,2025-09-01 15:36:51+08:00,124.0,4424.4,4420.0,-545.5999999999549,平多,d7ba8670-d0d7-4817-b30f-ed7d2ba4fd3c,a4bea0b9-d2b0-42bf-9e3b-371747ea4fa3,2025-09-01 07:36:00 -2025-09-01 15:44:38+08:00,2025-09-01 15:47:21+08:00,676.0,4420.39,4426.94,4427.799999999508,平多,17564d45-1b57-4822-91dd-7bf3a162e7b1,131e056d-1779-4de8-bb12-1663936c3ffe,2025-09-01 07:47:00 -2025-09-01 15:44:38+08:00,2025-09-01 15:47:21+08:00,22.0,4420.0,4426.94,152.6799999999912,平多,7e280213-31c8-4848-b164-57ce0f3a30c3,131e056d-1779-4de8-bb12-1663936c3ffe,2025-09-01 07:47:00 -2025-09-01 15:44:38+08:00,2025-09-01 15:47:21+08:00,206.0,4420.39,4426.94,1349.2999999998501,平多,37898b4e-9a13-4bc0-a9e6-3fa908bd1e80,131e056d-1779-4de8-bb12-1663936c3ffe,2025-09-01 07:47:00 -2025-09-01 15:51:28+08:00,2025-09-01 15:54:46+08:00,387.0,4434.86,4450.54,6068.160000000113,平多,a62d6355-e666-4b24-a9fe-1a8efd802cd4,c5b380bf-78c7-4dfd-a1b8-f212e0562e5d,2025-09-01 07:54:00 -2025-09-01 15:51:28+08:00,2025-09-01 15:54:46+08:00,514.0,4434.86,4450.54,8059.52000000015,平多,9383482c-67d4-4a52-9c9a-bf106f8a66ed,c5b380bf-78c7-4dfd-a1b8-f212e0562e5d,2025-09-01 07:54:00 -2025-09-01 15:59:35+08:00,2025-09-01 16:02:01+08:00,898.0,4454.21,4472.89,16774.64000000026,平多,b4194b4d-5b4a-4387-879f-b208a173d23e,0b3a10ad-d3bc-49e7-bc76-95d3f3f7b012,2025-09-01 08:02:00 -2025-09-01 16:05:00+08:00,2025-09-01 16:05:43+08:00,891.0,4486.3,4479.29,-6245.9100000001945,平多,62035134-6e2c-4e78-a57e-90883d6fd125,e148f8b3-d2b0-49a8-9702-bf0ef6d70a11,2025-09-01 08:05:00 -2025-09-01 16:06:22+08:00,2025-09-01 16:13:08+08:00,893.0,4478.53,4480.64,-1884.2300000005198,平空,d901988b-b5b6-4a5e-a03c-83cedbdbbbda,dcc81b54-5253-4a49-a426-f28316341b68,2025-09-01 08:13:00 -2025-09-01 16:18:38+08:00,2025-09-01 16:19:03+08:00,895.0,4467.53,4470.68,-2819.2500000004884,平空,2a066536-51d7-425d-ae9e-83613597c612,41ad454f-5790-480c-9f16-80b478841763,2025-09-01 08:19:00 -2025-09-01 16:20:05+08:00,2025-09-01 16:22:22+08:00,894.0,4473.83,4478.12,-3835.2599999999675,平空,93df10c4-453d-405e-aa78-3870c5c5f78f,5aeedf17-a10d-4388-b16e-e18251d6e1e5,2025-09-01 08:22:00 -2025-09-01 16:23:14+08:00,2025-09-01 16:27:37+08:00,893.0,4475.22,4469.41,5188.330000000357,平空,d9277a5f-844a-4afc-b784-0343d373a87e,7def0a70-6cc3-4880-9da3-16671ec6a296,2025-09-01 08:27:00 -2025-09-01 16:33:42+08:00,2025-09-01 16:41:25+08:00,894.0,4470.45,4469.46,885.0599999998049,平空,9e7bf3df-d22c-413b-8b29-024b9c830f6b,3e80d0e3-3466-4e63-b75d-c86b67b6eb0b,2025-09-01 08:41:00 -2025-09-01 16:55:38+08:00,2025-09-01 17:04:46+08:00,893.0,4474.93,4476.7,-1580.6099999995777,平空,aca7bfae-9112-4a7a-8a95-7b7661be7d13,20115f47-253a-435a-9b43-1cfcbdc9c12e,2025-09-01 09:04:00 -2025-09-01 17:10:25+08:00,2025-09-01 17:15:02+08:00,894.0,4472.69,4480.01,6544.080000000553,平多,44c66b7e-5da3-4773-b5a0-73b1cd1c13b9,d8403012-f909-414d-bb21-a012dc5722c2,2025-09-01 09:15:00 -2025-09-01 17:35:29+08:00,2025-09-01 17:38:36+08:00,300.0,4473.01,4460.17,3852.0000000000437,平空,67981b9f-af13-4595-9a36-80db526ac0e4,de9b300a-19de-4cc4-b86e-e5d8ade4eb2f,2025-09-01 09:38:00 -2025-09-01 17:35:29+08:00,2025-09-01 17:38:36+08:00,70.0,4473.01,4460.17,898.8000000000102,平空,67981b9f-af13-4595-9a36-80db526ac0e4,f7f5c314-6e7b-498a-99cf-a2c868021b32,2025-09-01 09:38:00 -2025-09-01 17:35:29+08:00,2025-09-01 17:38:36+08:00,236.0,4473.01,4460.17,3030.2400000000343,平空,67981b9f-af13-4595-9a36-80db526ac0e4,f34ae213-3bb5-4bc5-96b5-1efb92648427,2025-09-01 09:38:00 -2025-09-01 17:35:29+08:00,2025-09-01 17:38:36+08:00,287.0,4473.01,4460.17,3685.0800000000418,平空,da23b541-1bde-4417-8875-4a52000d3183,f34ae213-3bb5-4bc5-96b5-1efb92648427,2025-09-01 09:38:00 diff --git a/价格展示/test.py b/价格展示/test.py deleted file mode 100644 index 1b23e64..0000000 --- a/价格展示/test.py +++ /dev/null @@ -1,72 +0,0 @@ -import requests -import pandas as pd - -headers = { - 'accept': 'application/json, text/plain, */*', - 'accept-language': 'zh,zh-CN;q=0.9,zh-HK;q=0.8,en;q=0.7', - 'cache-control': 'no-cache', - 'origin': 'https://www.websea.com', - 'pragma': 'no-cache', - 'priority': 'u=1, i', - 'referer': 'https://www.websea.com/', - 'sec-ch-ua': '"Chromium";v="140", "Not=A?Brand";v="24", "Google Chrome";v="140"', - 'sec-ch-ua-mobile': '?0', - 'sec-ch-ua-platform': '"Windows"', - 'sec-fetch-dest': 'empty', - 'sec-fetch-mode': 'cors', - 'sec-fetch-site': 'same-site', - 'user-agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/140.0.0.0 Safari/537.36', -} - -if __name__ == '__main__': - datas = [] - import datetime - - # 定义开始日期和结束日期 - start_date = datetime.datetime(2025, 8, 28) - end_date = datetime.datetime(2025, 9, 2) - - # 初始化当前日期为开始日期 - current_date = start_date - - # 循环遍历日期范围 - while current_date <= end_date: - # 获取当天开始时刻（00:00:00） - start_of_day = current_date.replace(hour=0, minute=0, second=0, microsecond=0) - # 获取当天结束时刻（23:59:59） - end_of_day = current_date.replace(hour=23, minute=59, second=59, microsecond=0) - - # 将开始时刻和结束时刻转换为时间戳 - start_timestamp = start_of_day.timestamp() - end_timestamp = end_of_day.timestamp() - - print(f"日期: {current_date.strftime('%Y.%m.%d')}") - print(f" 开始时刻时间戳: {start_timestamp}") - print(f" 结束时刻时间戳: {end_timestamp}") - - params = { - 'symbol': 'ETH-USDT', - 'period': '1min', - 'start': int(start_timestamp), - 'end': int(end_timestamp), - } - - response = requests.get('https://capi.websea.com/webApi/market/getKline', params=params, headers=headers) - - # 提取数据 - data = response.json()['result']['data'] - print(data) - - for i in data: - datas.append(i) - - # 日期加一天 - current_date += datetime.timedelta(days=1) - - # 将数据转换为 DataFrame - df = pd.DataFrame(datas) - - # 保存为 Excel 文件 - df.to_excel('kline_data.xlsx', index=False) - - print("数据已成功保存到 kline_data.xlsx 文件中。") diff --git a/价格展示/test1.py b/价格展示/test1.py deleted file mode 100644 index 2c43171..0000000 --- a/价格展示/test1.py +++ /dev/null @@ -1,712 +0,0 @@ -import pandas as pd -import numpy as np -import plotly.graph_objects as go -from datetime import datetime, timezone, timedelta -import warnings -import os -import uuid - -# ========== 配置 ========== -KLINE_XLSX = "kline_data.xlsx" # K线数据文件名 -ORDERS_XLSX = "做市策略.xls" # 订单数据文件名 -OUTPUT_HTML = "kline_with_trades.html" -SYMBOL = "ETH-USDT" # 交易对筛选 - -# 时间与对齐配置 -ORDERS_TIME_IS_LOCAL_ASIA_SH = True # 订单时间是否为东八区时间 -SNAP_TRADES_TO_NEAREST_CANDLE = True # 对齐交易点到最近的K线时间 -SNAP_TOLERANCE_MULTIPLIER = 1.5 # 对齐容忍度倍数 - -# 图表尺寸配置 - 更宽更扁 -CHART_WIDTH = 2200 # 更宽的图表 -CHART_HEIGHT = 600 # 更矮的图表 -FONT_SIZE = 12 # 字体大小 -ANNOTATION_FONT_SIZE = 10 # 标注字体大小 -MARKER_SIZE = 10 # 标记大小 -LINE_WIDTH = 1.5 # 连接线宽度 - -# 颜色配置 - 所有文本使用黑色 -TEXT_COLOR = "black" # 所有文本使用黑色 -TEXT_OFFSET = 10 # 文本偏移量（像素） - - -# ========== 工具函数 ========== -def parse_numeric(x): - """高效解析数值类型，支持多种格式""" - if pd.isna(x): - return np.nan - try: - # 尝试直接转换（大多数情况） - return float(x) - except: - # 处理特殊格式 - s = str(x).replace(",", "").replace("USDT", "").replace("张", "").strip() - if s.endswith("%"): - s = s[:-1] - return float(s) if s else np.nan - - -def epoch_to_dt(x): - """将时间戳转换为上海时区时间""" - try: - return pd.to_datetime(int(x), unit="s", utc=True).tz_convert("Asia/Shanghai") - except: - return pd.NaT - - -def zh_side(row): - """解析交易方向""" - direction = str(row.get("方向", "")).strip() - if "开多" in direction: return "long_open" - if "平多" in direction: return "long_close" - if "开空" in direction: return "short_open" - if "平空" in direction: return "short_close" - return "unknown" - - -# ========== 数据加载与预处理 ========== -def load_kline_data(): - """加载并预处理K线数据""" - if not os.path.exists(KLINE_XLSX): - raise FileNotFoundError(f"K线数据文件不存在: {KLINE_XLSX}") - - kdf = pd.read_excel(KLINE_XLSX, dtype=str) - kdf.columns = [str(c).strip().lower() for c in kdf.columns] - - # 验证必要列 - required_cols = {"id", "open", "close", "low", "high"} - missing = required_cols - set(kdf.columns) - if missing: - raise ValueError(f"K线表缺少列: {missing}") - - # 时间转换 - 确保id是秒级时间戳 - kdf["time"] = kdf["id"].apply(epoch_to_dt) - - # 数值转换（向量化操作提升性能） - for col in ["open", "close", "low", "high"]: - kdf[col] = pd.to_numeric(kdf[col].apply(parse_numeric), errors="coerce") - - # 清理无效数据 - kdf = kdf.dropna(subset=["time", "open", "close", "low", "high"]) - kdf = kdf.sort_values("time").reset_index(drop=True) - - # 计算K线周期（用于交易点对齐） - if len(kdf) >= 3: - median_step = kdf["time"].diff().median() - else: - median_step = pd.Timedelta(minutes=1) - - return kdf, median_step - - -def load_order_data(): - """加载并预处理订单数据""" - if not os.path.exists(ORDERS_XLSX): - raise FileNotFoundError(f"订单数据文件不存在: {ORDERS_XLSX}") - - odf = pd.read_excel(ORDERS_XLSX, dtype=str) - - # 验证必要列 - need_order_cols = ["时间", "交易对", "方向", "模式", "数量(张)", "成交价", "交易额", "消耗手续费", "用户盈亏"] - missing = set(need_order_cols) - set(odf.columns) - if missing: - raise ValueError(f"订单表缺少列: {missing}") - - # 筛选交易对 - if SYMBOL and "交易对" in odf.columns: - odf = odf[odf["交易对"].astype(str).str.strip() == SYMBOL] - - # 时间处理 - 确保时间格式正确 - with warnings.catch_warnings(): - warnings.simplefilter("ignore") - if ORDERS_TIME_IS_LOCAL_ASIA_SH: - # 尝试多种格式解析时间 - odf["时间"] = pd.to_datetime(odf["时间"], errors="coerce", format="mixed") - # 本地化为上海时区 - odf["时间"] = odf["时间"].dt.tz_localize("Asia/Shanghai", ambiguous="NaT", nonexistent="shift_forward") - else: - # 如果Excel时间已经是UTC - odf["时间"] = pd.to_datetime(odf["时间"], utc=True, errors="coerce").dt.tz_convert("Asia/Shanghai") - - # 数值转换 - numeric_cols = { - "数量(张)": "数量", - "成交价": "价格", - "交易额": "交易额_num", - "消耗手续费": "手续费", - "用户盈亏": "盈亏" - } - - for src, dest in numeric_cols.items(): - odf[dest] = pd.to_numeric(odf[src].apply(parse_numeric), errors="coerce") - - # 解析交易方向 - odf["side"] = odf.apply(zh_side, axis=1) - - # 为每个订单生成唯一ID - odf["order_id"] = [str(uuid.uuid4()) for _ in range(len(odf))] - - # 计算本金（数量 * 价格） - odf["本金"] = odf["数量"] * odf["价格"] - - # 清理无效数据 - odf = odf.dropna(subset=["时间", "价格"]) - odf = odf.sort_values("时间").reset_index(drop=True) - - return odf - - -def align_trades_to_candles(kdf, odf, median_step): - """将交易点对齐到最近的K线时间""" - if not SNAP_TRADES_TO_NEAREST_CANDLE or kdf.empty or odf.empty: - return odf.assign(时间_x=odf["时间"]) - - snap_tolerance = pd.Timedelta(seconds=max(1, int(median_step.total_seconds() * SNAP_TOLERANCE_MULTIPLIER))) - - # 使用merge_asof高效对齐 - anchor = kdf[["time"]].copy().rename(columns={"time": "k_time"}) - odf_sorted = odf.sort_values("时间") - - aligned = pd.merge_asof( - odf_sorted, - anchor, - left_on="时间", - right_on="k_time", - direction="nearest", - tolerance=snap_tolerance - ) - - # 保留原始时间作为参考 - aligned["原始时间"] = aligned["时间"] - aligned["时间_x"] = aligned["k_time"].fillna(aligned["时间"]) - - return aligned - - -# ========== 持仓跟踪与盈亏计算 ========== -class PositionTracker: - """FIFO持仓跟踪器，支持订单走向可视化""" - - def __init__(self): - self.long_lots = [] # (数量, 价格, 时间, 手续费, 订单ID) - self.short_lots = [] # (数量, 价格, 时间, 手续费, 订单ID) - self.realized_pnl = 0.0 - self.history = [] # 记录所有交易历史 - self.trade_connections = [] # 记录开平仓连接关系 - - def open_long(self, qty, price, time, fee, order_id): - """开多仓""" - if qty > 1e-9: - self.long_lots.append((qty, price, time, fee, order_id)) - - def close_long(self, qty, price, time, fee, order_id): - """平多仓""" - remaining = qty - local_pnl = 0.0 - connections = [] # 本次平仓的连接关系 - - while remaining > 1e-9 and self.long_lots: - lot_qty, lot_price, lot_time, lot_fee, open_order_id = self.long_lots[0] - take = min(lot_qty, remaining) - pnl = (price - lot_price) * take - local_pnl += pnl - lot_qty -= take - remaining -= take - - # 记录开平仓连接 - connection = { - "open_time": lot_time, - "close_time": time, - "open_price": lot_price, - "close_price": price, - "qty": take, - "pnl": pnl, - "type": "long", - "open_order_id": open_order_id, - "close_order_id": order_id - } - self.trade_connections.append(connection) - connections.append(connection) - - # 记录平仓详情 - self.history.append({ - "开仓时间": lot_time, - "平仓时间": time, - "数量": take, - "开仓价": lot_price, - "平仓价": price, - "盈亏": pnl, - "类型": "平多", - "开仓订单ID": open_order_id, - "平仓订单ID": order_id - }) - - if lot_qty <= 1e-9: - self.long_lots.pop(0) - else: - self.long_lots[0] = (lot_qty, lot_price, lot_time, lot_fee, open_order_id) - - local_pnl -= fee - self.realized_pnl += local_pnl - return local_pnl, connections - - def open_short(self, qty, price, time, fee, order_id): - """开空仓""" - if qty > 1e-9: - self.short_lots.append((qty, price, time, fee, order_id)) - - def close_short(self, qty, price, time, fee, order_id): - """平空仓""" - remaining = qty - local_pnl = 0.0 - connections = [] # 本次平仓的连接关系 - - while remaining > 1e-9 and self.short_lots: - lot_qty, lot_price, lot_time, lot_fee, open_order_id = self.short_lots[0] - take = min(lot_qty, remaining) - pnl = (lot_price - price) * take - local_pnl += pnl - lot_qty -= take - remaining -= take - - # 记录开平仓连接 - connection = { - "open_time": lot_time, - "close_time": time, - "open_price": lot_price, - "close_price": price, - "qty": take, - "pnl": pnl, - "type": "short", - "open_order_id": open_order_id, - "close_order_id": order_id - } - self.trade_connections.append(connection) - connections.append(connection) - - # 记录平仓详情 - self.history.append({ - "开仓时间": lot_time, - "平仓时间": time, - "数量": take, - "开仓价": lot_price, - "平仓价": price, - "盈亏": pnl, - "类型": "平空", - "开仓订单ID": open_order_id, - "平仓订单ID": order_id - }) - - if lot_qty <= 1e-9: - self.short_lots.pop(0) - else: - self.short_lots[0] = (lot_qty, lot_price, lot_time, lot_fee, open_order_id) - - local_pnl -= fee - self.realized_pnl += local_pnl - return local_pnl, connections - - -def calculate_pnl(odf): - """计算持仓盈亏和订单连接关系""" - tracker = PositionTracker() - all_connections = [] - - for idx, r in odf.iterrows(): - qty = r["数量"] - price = r["价格"] - ts = r["时间"] - fee = r["手续费"] - side = r["side"] - order_id = r["order_id"] - - if side == "long_open": - tracker.open_long(qty, price, ts, fee, order_id) - elif side == "long_close": - _, connections = tracker.close_long(qty, price, ts, fee, order_id) - all_connections.extend(connections) - elif side == "short_open": - tracker.open_short(qty, price, ts, fee, order_id) - elif side == "short_close": - _, connections = tracker.close_short(qty, price, ts, fee, order_id) - all_connections.extend(connections) - - # 创建盈亏DataFrame - if tracker.history: - pnl_df = pd.DataFrame(tracker.history) - # 添加对齐后的时间 - pnl_df["时间_x"] = pnl_df["平仓时间"].apply( - lambda x: odf.loc[odf["时间"] == x, "时间_x"].values[0] if not odf.empty else x - ) - else: - pnl_df = pd.DataFrame() - - # 创建连接关系DataFrame - connections_df = pd.DataFrame(all_connections) if all_connections else pd.DataFrame() - - return pnl_df, tracker.realized_pnl, connections_df - - -# ========== 可视化 ========== -def create_trade_scatter(df, name, color, symbol): - """创建交易点散点图""" - if df.empty: - return None - - # 为不同类型的交易点创建不同的文本标签 - if name == "开多": - text = "开多\n" + df["价格"].apply(lambda x: f"{x:.2f}") + "\n" + df["本金"].apply(lambda x: f"{x:.0f}") - elif name == "平多": - text = "平多\n" + df["价格"].apply(lambda x: f"{x:.2f}") + "\n" + df["盈亏"].apply(lambda x: f"{x:.0f}") - elif name == "开空": - text = "开空\n" + df["价格"].apply(lambda x: f"{x:.2f}") + "\n" + df["本金"].apply(lambda x: f"{x:.0f}") - elif name == "平空": - text = "平空\n" + df["价格"].apply(lambda x: f"{x:.2f}") + "\n" + df["盈亏"].apply(lambda x: f"{x:.0f}") - else: - text = name - - return go.Scatter( - x=df["时间_x"], - y=df["价格"], - mode="markers+text", - name=name, - text=text, - textposition="middle right", # 文本放在右侧中间位置 - textfont=dict(size=ANNOTATION_FONT_SIZE, color=TEXT_COLOR), # 使用黑色文本 - marker=dict( - size=MARKER_SIZE, - color=color, - symbol=symbol, - line=dict(width=1.5, color="black") - ), - customdata=np.stack([ - df["数量"].to_numpy(), - df["价格"].to_numpy(), - df["手续费"].to_numpy(), - df.get("盈亏", np.nan).to_numpy(), - df.get("原始时间", df["时间"]).dt.strftime("%Y-%m-%d %H:%M:%S").to_numpy(), - df["order_id"].to_numpy(), - df["本金"].to_numpy() - ], axis=-1), - hovertemplate=( - f"{name}
" - "数量: %{customdata[0]:.0f}张
" - "价格: %{customdata[1]:.2f}
" - "手续费: %{customdata[2]:.6f}
" - "盈亏: %{customdata[3]:.4f}
" - "本金: %{customdata[6]:.0f}
" - "时间: %{customdata[4]}
" - "订单ID: %{customdata[5]}" - ) - ) - - -def add_trade_connections(fig, connections_df, odf): - """添加开平仓连接线""" - if connections_df.empty: - return - - # 为盈利和亏损的连接线分别创建轨迹 - profit_lines = [] - loss_lines = [] - - for _, conn in connections_df.iterrows(): - # 获取开仓点和平仓点的坐标 - open_point = odf[odf["order_id"] == conn["open_order_id"]].iloc[0] - close_point = odf[odf["order_id"] == conn["close_order_id"]].iloc[0] - - line_data = { - "x": [open_point["时间_x"], close_point["时间_x"]], - "y": [open_point["价格"], close_point["价格"]], - "pnl": conn["pnl"], - "type": conn["type"], - "open_order_id": conn["open_order_id"], - "close_order_id": conn["close_order_id"] - } - - if conn["pnl"] >= 0: - profit_lines.append(line_data) - else: - loss_lines.append(line_data) - - # 添加盈利连接线（绿色） - if profit_lines: - x_profit = [] - y_profit = [] - customdata_profit = [] - - for line in profit_lines: - x_profit.extend(line["x"]) - y_profit.extend(line["y"]) - x_profit.append(None) - y_profit.append(None) - - # 为每个点添加自定义数据 - customdata_profit.append([ - line["open_order_id"], - line["close_order_id"], - line["pnl"], - line["type"] - ]) - customdata_profit.append([ - line["open_order_id"], - line["close_order_id"], - line["pnl"], - line["type"] - ]) - customdata_profit.append(None) - - fig.add_trace(go.Scatter( - x=x_profit, - y=y_profit, - mode="lines", - name="盈利订单", - line=dict(color="rgba(46, 204, 113, 0.7)", width=LINE_WIDTH), - hoverinfo="text", - text=[f"盈利: {d[2]:.2f}" if d else None for d in customdata_profit], - customdata=customdata_profit, - hovertemplate=( - "%{text}
" - "类型: %{customdata[3]}
" - "开仓订单ID: %{customdata[0]}
" - "平仓订单ID: %{customdata[1]}" - ) - )) - - # 添加亏损连接线（红色） - if loss_lines: - x_loss = [] - y_loss = [] - customdata_loss = [] - - for line in loss_lines: - x_loss.extend(line["x"]) - y_loss.extend(line["y"]) - x_loss.append(None) - y_loss.append(None) - - # 为每个点添加自定义数据 - customdata_loss.append([ - line["open_order_id"], - line["close_order_id"], - line["pnl"], - line["type"] - ]) - customdata_loss.append([ - line["open_order_id"], - line["close_order_id"], - line["pnl"], - line["type"] - ]) - customdata_loss.append(None) - - fig.add_trace(go.Scatter( - x=x_loss, - y=y_loss, - mode="lines", - name="亏损订单", - line=dict(color="rgba(231, 76, 60, 0.7)", width=LINE_WIDTH), - hoverinfo="text", - text=[f"亏损: {abs(d[2]):.2f}" if d else None for d in customdata_loss], - customdata=customdata_loss, - hovertemplate=( - "%{text}
" - "类型: %{customdata[3]}
" - "开仓订单ID: %{customdata[0]}
" - "平仓订单ID: %{customdata[1]}" - ) - )) - - -def generate_chart(kdf, odf, pnl_df, cum_realized, connections_df): - """生成K线图与交易标注""" - fig = go.Figure() - - # K线主图 - fig.add_trace(go.Candlestick( - x=kdf["time"], - open=kdf["open"], - high=kdf["high"], - low=kdf["low"], - close=kdf["close"], - name="K线", - increasing_line_color="#2ecc71", - decreasing_line_color="#e74c3c" - )) - - # 添加交易点 - trade_types = [ - (odf[odf["side"] == "long_open"], "开多", "#2ecc71", "triangle-up"), - (odf[odf["side"] == "long_close"], "平多", "#27ae60", "circle"), - (odf[odf["side"] == "short_open"], "开空", "#e74c3c", "triangle-down"), - (odf[odf["side"] == "short_close"], "平空", "#c0392b", "x") - ] - - for data, name, color, symbol in trade_types: - trace = create_trade_scatter(data, name, color, symbol) - if trace: - fig.add_trace(trace) - - # 添加开平仓连接线 - add_trade_connections(fig, connections_df, odf) - - # 计算时间范围，确保所有点都显示在图表中 - all_times = pd.concat([kdf["time"], odf["时间_x"]]) - min_time = all_times.min() - pd.Timedelta(minutes=10) - max_time = all_times.max() + pd.Timedelta(minutes=10) - - # 计算价格范围，确保所有点都显示在图表中 - min_price = min(kdf["low"].min(), odf["价格"].min()) * 0.99 - max_price = max(kdf["high"].max(), odf["价格"].max()) * 1.01 - - # 布局配置 - 更宽更扁的图表 - fig.update_layout( - xaxis_title="时间", - yaxis_title="价格 (USDT)", - legend=dict( - orientation="h", - yanchor="bottom", - y=1.02, - xanchor="left", - x=0, - font=dict(size=FONT_SIZE, color=TEXT_COLOR) # 图例文字使用黑色 - ), - xaxis=dict( - rangeslider=dict(visible=False), - type="date", - gridcolor="rgba(128, 128, 128, 0.2)", - range=[min_time, max_time], # 设置时间范围 - title_font=dict(color=TEXT_COLOR), # 坐标轴标题使用黑色 - tickfont=dict(color=TEXT_COLOR) # 刻度标签使用黑色 - ), - yaxis=dict( - gridcolor="rgba(128, 128, 128, 0.2)", - range=[min_price, max_price], # 设置价格范围 - title_font=dict(color=TEXT_COLOR), # 坐标轴标题使用黑色 - tickfont=dict(color=TEXT_COLOR) # 刻度标签使用黑色 - ), - hovermode="x unified", - hoverlabel=dict( - namelength=-1, - bgcolor="rgba(255, 255, 255, 0.9)", - font_size=FONT_SIZE, - font_color=TEXT_COLOR # 悬停标签文字使用黑色 - ), - margin=dict(l=50, r=50, t=80, b=50), - plot_bgcolor="rgba(240, 240, 240, 1)", - width=CHART_WIDTH, # 使用配置的宽度 - height=CHART_HEIGHT, # 使用配置的高度 - font=dict(size=FONT_SIZE, color=TEXT_COLOR), # 全局字体大小和颜色 - - # 增强交互性配置 - dragmode="pan", # 默认拖拽模式为平移 - clickmode="event+select", # 点击模式 - selectdirection="h", # 水平选择方向 - modebar=dict( - orientation="h", # 水平方向工具栏 - bgcolor="rgba(255, 255, 255, 0.7)", # 半透明背景 - color="rgba(0, 0, 0, 0.7)", # 图标颜色 - activecolor="rgba(0, 0, 0, 0.9)" # 激活图标颜色 - ) - ) - - # 添加模式栏按钮 - fig.update_layout( - modebar_add=[ - "zoom2d", - "pan2d", - "select2d", - "lasso2d", - "zoomIn2d", - "zoomOut2d", - "autoScale2d", - "resetScale2d", - "toImage" - ] - ) - - # 配置缩放行为 - 确保滚轮缩放正常工作 - fig.update_xaxes( - autorange=False, - fixedrange=False, # 允许缩放 - constrain="domain", # 约束在域内 - rangeslider=dict(visible=False) # 禁用范围滑块 - ) - - fig.update_yaxes( - autorange=False, - fixedrange=False, # 允许缩放 - scaleanchor="x", # 保持纵横比 - scaleratio=1, # 缩放比例 - constrain="domain" # 约束在域内 - ) - - # 保存并打开结果 - 启用滚轮缩放 - fig.write_html( - OUTPUT_HTML, - include_plotlyjs="cdn", - auto_open=True, - config={ - 'scrollZoom': True, # 启用滚轮缩放 - 'displayModeBar': True, # 显示工具栏 - 'displaylogo': False, # 隐藏Plotly标志 - 'responsive': True # 响应式布局 - } - ) - print(f"图表已生成: {OUTPUT_HTML}") - - # 返回盈亏详情 - if not pnl_df.empty: - pnl_df.to_csv("pnl_details.csv", index=False) - print(f"盈亏详情已保存: pnl_details.csv") - - if not connections_df.empty: - connections_df.to_csv("trade_connections.csv", index=False) - print(f"订单连接关系已保存: trade_connections.csv") - - return fig - - -# ========== 主执行流程 ========== -def main(): - print("开始处理数据...") - - # 加载数据 - kdf, median_step = load_kline_data() - odf = load_order_data() - - print(f"加载K线数据: {len(kdf)}条") - print(f"加载订单数据: {len(odf)}条") - - # 对齐交易时间 - odf = align_trades_to_candles(kdf, odf, median_step) - - # 检查时间范围 - kline_min_time = kdf["time"].min() - kline_max_time = kdf["time"].max() - order_min_time = odf["时间"].min() - order_max_time = odf["时间"].max() - - print(f"K线时间范围: {kline_min_time} 至 {kline_max_time}") - print(f"订单时间范围: {order_min_time} 至 {order_max_time}") - - # 检查是否有订单在K线时间范围外 - outside_orders = odf[(odf["时间"] < kline_min_time) | (odf["时间"] > kline_max_time)] - if not outside_orders.empty: - print(f"警告: 有 {len(outside_orders)} 个订单在K线时间范围外") - print(outside_orders[["时间", "方向", "价格"]]) - - # 计算盈亏和订单连接关系 - pnl_df, cum_realized, connections_df = calculate_pnl(odf) - print(f"累计已实现盈亏: {cum_realized:.2f} USDT") - print(f"订单连接关系: {len(connections_df)}条") - - # 生成图表 - generate_chart(kdf, odf, pnl_df, cum_realized, connections_df) - print("处理完成") - - -if __name__ == "__main__": - with warnings.catch_warnings(): - warnings.simplefilter("ignore") - main() \ No newline at end of file diff --git a/价格展示/test2.py b/价格展示/test2.py deleted file mode 100644 index 99d3c38..0000000 --- a/价格展示/test2.py +++ /dev/null @@ -1,713 +0,0 @@ -import pandas as pd -import numpy as np -import plotly.graph_objects as go -from datetime import datetime, timezone, timedelta -import warnings -import os -import uuid - -# ========== 配置 ========== -KLINE_XLSX = "kline_data.xlsx" # K线数据文件名 -ORDERS_XLSX = "做市策略.xls" # 订单数据文件名 -OUTPUT_HTML = "kline_with_trades.html" -SYMBOL = "ETH-USDT" # 交易对筛选 - -# 时间与对齐配置 -ORDERS_TIME_IS_LOCAL_ASIA_SH = True # 订单时间是否为东八区时间 -SNAP_TRADES_TO_NEAREST_CANDLE = True # 对齐交易点到最近的K线时间 -SNAP_TOLERANCE_MULTIPLIER = 1.5 # 对齐容忍度倍数 - -# 图表尺寸配置 - 更宽更扁 -CHART_WIDTH = 2200 # 更宽的图表 -CHART_HEIGHT = 600 # 更矮的图表 -FONT_SIZE = 12 # 字体大小 -ANNOTATION_FONT_SIZE = 10 # 标注字体大小 -MARKER_SIZE = 10 # 标记大小 -LINE_WIDTH = 1.5 # 连接线宽度 - -# 颜色配置 - 所有文本使用黑色 -TEXT_COLOR = "black" # 所有文本使用黑色 -TEXT_OFFSET = 10 # 文本偏移量（像素） - - -# ========== 工具函数 ========== -def parse_numeric(x): - """高效解析数值类型，支持多种格式""" - if pd.isna(x): - return np.nan - try: - # 尝试直接转换（大多数情况） - return float(x) - except: - # 处理特殊格式 - s = str(x).replace(",", "").replace("USDT", "").replace("张", "").strip() - if s.endswith("%"): - s = s[:-1] - return float(s) if s else np.nan - - -def epoch_to_dt(x): - """将时间戳转换为上海时区时间""" - try: - return pd.to_datetime(int(x), unit="s", utc=True).tz_convert("Asia/Shanghai") - except: - return pd.NaT - - -def zh_side(row): - """解析交易方向""" - direction = str(row.get("方向", "")).strip() - if "开多" in direction: return "long_open" - if "平多" in direction: return "long_close" - if "开空" in direction: return "short_open" - if "平空" in direction: return "short_close" - return "unknown" - - -# ========== 数据加载与预处理 ========== -def load_kline_data(): - """加载并预处理K线数据""" - if not os.path.exists(KLINE_XLSX): - raise FileNotFoundError(f"K线数据文件不存在: {KLINE_XLSX}") - - kdf = pd.read_excel(KLINE_XLSX, dtype=str) - kdf.columns = [str(c).strip().lower() for c in kdf.columns] - - # 验证必要列 - required_cols = {"id", "open", "close", "low", "high"} - missing = required_cols - set(kdf.columns) - if missing: - raise ValueError(f"K线表缺少列: {missing}") - - # 时间转换 - 确保id是秒级时间戳 - kdf["time"] = kdf["id"].apply(epoch_to_dt) - - # 数值转换（向量化操作提升性能） - for col in ["open", "close", "low", "high"]: - kdf[col] = pd.to_numeric(kdf[col].apply(parse_numeric), errors="coerce") - - # 清理无效数据 - kdf = kdf.dropna(subset=["time", "open", "close", "low", "high"]) - kdf = kdf.sort_values("time").reset_index(drop=True) - - # 计算K线周期（用于交易点对齐） - if len(kdf) >= 3: - median_step = kdf["time"].diff().median() - else: - median_step = pd.Timedelta(minutes=1) - - return kdf, median_step - - -def load_order_data(): - """加载并预处理订单数据""" - if not os.path.exists(ORDERS_XLSX): - raise FileNotFoundError(f"订单数据文件不存在: {ORDERS_XLSX}") - - odf = pd.read_excel(ORDERS_XLSX, dtype=str) - - # 验证必要列 - need_order_cols = ["时间", "交易对", "方向", "模式", "数量(张)", "成交价", "交易额", "消耗手续费", "用户盈亏"] - missing = set(need_order_cols) - set(odf.columns) - if missing: - raise ValueError(f"订单表缺少列: {missing}") - - # 筛选交易对 - if SYMBOL and "交易对" in odf.columns: - odf = odf[odf["交易对"].astype(str).str.strip() == SYMBOL] - - # 时间处理 - 确保时间格式正确 - with warnings.catch_warnings(): - warnings.simplefilter("ignore") - if ORDERS_TIME_IS_LOCAL_ASIA_SH: - # 尝试多种格式解析时间 - odf["时间"] = pd.to_datetime(odf["时间"], errors="coerce", format="mixed") - # 本地化为上海时区 - odf["时间"] = odf["时间"].dt.tz_localize("Asia/Shanghai", ambiguous="NaT", nonexistent="shift_forward") - else: - # 如果Excel时间已经是UTC - odf["时间"] = pd.to_datetime(odf["时间"], utc=True, errors="coerce").dt.tz_convert("Asia/Shanghai") - - # 数值转换 - numeric_cols = { - "数量(张)": "数量", - "成交价": "价格", - "交易额": "交易额_num", - "消耗手续费": "手续费", - "用户盈亏": "盈亏" - } - - for src, dest in numeric_cols.items(): - odf[dest] = pd.to_numeric(odf[src].apply(parse_numeric), errors="coerce") - - # 解析交易方向 - odf["side"] = odf.apply(zh_side, axis=1) - - # 为每个订单生成唯一ID - odf["order_id"] = [str(uuid.uuid4()) for _ in range(len(odf))] - - # 计算本金（数量 * 价格） - odf["本金"] = odf["数量"] * odf["价格"] - - # 清理无效数据 - odf = odf.dropna(subset=["时间", "价格"]) - odf = odf.sort_values("时间").reset_index(drop=True) - - return odf - - -def align_trades_to_candles(kdf, odf, median_step): - """将交易点对齐到最近的K线时间""" - if not SNAP_TRADES_TO_NEAREST_CANDLE or kdf.empty or odf.empty: - return odf.assign(时间_x=odf["时间"]) - - snap_tolerance = pd.Timedelta(seconds=max(1, int(median_step.total_seconds() * SNAP_TOLERANCE_MULTIPLIER))) - - # 使用merge_asof高效对齐 - 使用方向为'backward'确保交易点对齐到前一个K线 - anchor = kdf[["time"]].copy().rename(columns={"time": "k_time"}) - odf_sorted = odf.sort_values("时间") - - # 关键优化：使用'backward'方向确保交易点对齐到前一个K线 - aligned = pd.merge_asof( - odf_sorted, - anchor, - left_on="时间", - right_on="k_time", - direction="backward", # 使用'backward'确保交易点对齐到前一个K线 - tolerance=snap_tolerance - ) - - # 保留原始时间作为参考 - aligned["原始时间"] = aligned["时间"] - aligned["时间_x"] = aligned["k_time"].fillna(aligned["时间"]) - - return aligned - - -# ========== 持仓跟踪与盈亏计算 ========== -class PositionTracker: - """FIFO持仓跟踪器，支持订单走向可视化""" - - def __init__(self): - self.long_lots = [] # (数量, 价格, 时间, 手续费, 订单ID) - self.short_lots = [] # (数量, 价格, 时间, 手续费, 订单ID) - self.realized_pnl = 0.0 - self.history = [] # 记录所有交易历史 - self.trade_connections = [] # 记录开平仓连接关系 - - def open_long(self, qty, price, time, fee, order_id): - """开多仓""" - if qty > 1e-9: - self.long_lots.append((qty, price, time, fee, order_id)) - - def close_long(self, qty, price, time, fee, order_id): - """平多仓""" - remaining = qty - local_pnl = 0.0 - connections = [] # 本次平仓的连接关系 - - while remaining > 1e-9 and self.long_lots: - lot_qty, lot_price, lot_time, lot_fee, open_order_id = self.long_lots[0] - take = min(lot_qty, remaining) - pnl = (price - lot_price) * take - local_pnl += pnl - lot_qty -= take - remaining -= take - - # 记录开平仓连接 - connection = { - "open_time": lot_time, - "close_time": time, - "open_price": lot_price, - "close_price": price, - "qty": take, - "pnl": pnl, - "type": "long", - "open_order_id": open_order_id, - "close_order_id": order_id - } - self.trade_connections.append(connection) - connections.append(connection) - - # 记录平仓详情 - self.history.append({ - "开仓时间": lot_time, - "平仓时间": time, - "数量": take, - "开仓价": lot_price, - "平仓价": price, - "盈亏": pnl, - "类型": "平多", - "开仓订单ID": open_order_id, - "平仓订单ID": order_id - }) - - if lot_qty <= 1e-9: - self.long_lots.pop(0) - else: - self.long_lots[0] = (lot_qty, lot_price, lot_time, lot_fee, open_order_id) - - local_pnl -= fee - self.realized_pnl += local_pnl - return local_pnl, connections - - def open_short(self, qty, price, time, fee, order_id): - """开空仓""" - if qty > 1e-9: - self.short_lots.append((qty, price, time, fee, order_id)) - - def close_short(self, qty, price, time, fee, order_id): - """平空仓""" - remaining = qty - local_pnl = 0.0 - connections = [] # 本次平仓的连接关系 - - while remaining > 1e-9 and self.short_lots: - lot_qty, lot_price, lot_time, lot_fee, open_order_id = self.short_lots[0] - take = min(lot_qty, remaining) - pnl = (lot_price - price) * take - local_pnl += pnl - lot_qty -= take - remaining -= take - - # 记录开平仓连接 - connection = { - "open_time": lot_time, - "close_time": time, - "open_price": lot_price, - "close_price": price, - "q极": take, - "pnl": pnl, - "type": "short", - "open_order_id": open_order_id, - "close_order_id": order_id - } - self.trade_connections.append(connection) - connections.append(connection) - - # 记录平仓详情 - self.history.append({ - "开仓时间": lot_time, - "平仓时间": time, - "数量": take, - "开仓价": lot_price, - "平仓价": price, - "盈亏": pnl, - "类型": "平空", - "开仓订单ID": open_order_id, - "平仓订单ID": order_id - }) - - if lot_qty <= 1e-9: - self.short_lots.pop(0) - else: - self.short_lots[0] = (lot_qty, lot_price, lot_time, lot_fee, open_order_id) - - local_pnl -= fee - self.realized_pnl += local_pnl - return local_pnl, connections - - -def calculate_pnl(odf): - """计算持仓盈亏和订单连接关系""" - tracker = PositionTracker() - all_connections = [] - - for idx, r in odf.iterrows(): - qty = r["数量"] - price = r["价格"] - ts = r["时间"] - fee = r["手续费"] - side = r["side"] - order_id = r["order_id"] - - if side == "long_open": - tracker.open_long(qty, price, ts, fee, order_id) - elif side == "long_close": - _, connections = tracker.close_long(qty, price, ts, fee, order_id) - all_connections.extend(connections) - elif side == "short_open": - tracker.open_short(qty, price, ts, fee, order_id) - elif side == "short_close": - _, connections = tracker.close_short(qty, price, ts, fee, order_id) - all_connections.extend(connections) - - # 创建盈亏DataFrame - if tracker.history: - pnl_df = pd.DataFrame(tracker.history) - # 添加对齐后的时间 - pnl_df["时间_x"] = pnl_df["平仓时间"].apply( - lambda x: odf.loc[odf["时间"] == x, "时间_x"].values[0] if not odf.empty else x - ) - else: - pnl_df = pd.DataFrame() - - # 创建连接关系DataFrame - connections_df = pd.DataFrame(all_connections) if all_connections else pd.DataFrame() - - return pnl_df, tracker.realized_pnl, connections_df - - -# ========== 可视化 ========== -def create_trade_scatter(df, name, color, symbol): - """创建交易点散点图""" - if df.empty: - return None - - # 为不同类型的交易点创建不同的文本标签 - if name == "开多": - text = "开多\n" + df["价格"].apply(lambda x: f"{x:.2f}") + "\n" + df["本金"].apply(lambda x: f"{x:.0f}") - elif name == "平多": - text = "平多\n" + df["价格"].apply(lambda x: f"{x:.2f}") + "\n" + df["盈亏"].apply(lambda x: f"{x:.0f}") - elif name == "开空": - text = "开空\n" + df["价格"].apply(lambda x: f"{x:.2f}") + "\n" + df["本金"].apply(lambda x: f"{x:.0f}") - elif name == "平空": - text = "平空\n" + df["价格"].apply(lambda x: f"{x:.2f}") + "\n" + df["盈亏"].apply(lambda x: f"{x:.0f}") - else: - text = name - - return go.Scatter( - x=df["时间_x"], - y=df["价格"], - mode="markers+text", - name=name, - text=text, - textposition="middle right", # 文本放在右侧中间位置 - textfont=dict(size=ANNOTATION_FONT_SIZE, color=TEXT_COLOR), # 使用黑色文本 - marker=dict( - size=MARKER_SIZE, - color=color, - symbol=symbol, - line=dict(width=1.5, color="black") - ), - customdata=np.stack([ - df["数量"].to_numpy(), - df["价格"].to_numpy(), - df["手续费"].to_numpy(), - df.get("盈亏", np.nan).to_numpy(), - df.get("原始时间", df["时间"]).dt.strftime("%Y-%m-%d %H:%M:%S").to_numpy(), - df["order_id"].to_numpy(), - df["本金"].to_numpy() - ], axis=-1), - hovertemplate=( - f"{name}
" - "数量: %{customdata[0]:.0f}张
" - "价格: %{customdata[1]:.2f}
" - "手续费: %{customdata[2]:.6f}
" - "盈亏: %{customdata[3]:.4f}
" - "本金: %{customdata[6]:.0f}
" - "时间: %{customdata[4]}
" - "订单ID: %{customdata[5]}" - ) - ) - - -def add_trade_connections(fig, connections_df, odf): - """添加开平仓连接线""" - if connections_df.empty: - return - - # 为盈利和亏损的连接线分别创建轨迹 - profit_lines = [] - loss_lines = [] - - for _, conn in connections_df.iterrows(): - # 获取开仓点和平仓点的坐标 - open_point = odf[odf["order_id"] == conn["open_order_id"]].iloc[0] - close_point = odf[odf["order_id"] == conn["close_order_id"]].iloc[0] - - line_data = { - "x": [open_point["时间_x"], close_point["时间_x"]], - "y": [open_point["价格"], close_point["价格"]], - "pnl": conn["pnl"], - "type": conn["type"], - "open_order_id": conn["open_order_id"], - "close_order_id": conn["close_order_id"] - } - - if conn["pnl"] >= 0: - profit_lines.append(line_data) - else: - loss_lines.append(line_data) - - # 添加盈利连接线（绿色） - if profit_lines: - x_profit = [] - y_profit = [] - customdata_profit = [] - - for line in profit_lines: - x_profit.extend(line["x"]) - y_profit.extend(line["y"]) - x_profit.append(None) - y_profit.append(None) - - # 为每个点添加自定义数据 - customdata_profit.append([ - line["open_order_id"], - line["close_order_id"], - line["pnl"], - line["type"] - ]) - customdata_profit.append([ - line["open_order_id"], - line["close_order_id"], - line["pnl"], - line["type"] - ]) - customdata_profit.append(None) - - fig.add_trace(go.Scatter( - x=x_profit, - y=y_profit, - mode="lines", - name="盈利订单", - line=dict(color="rgba(46, 204, 113, 0.7)", width=LINE_WIDTH), - hoverinfo="text", - text=[f"盈利: {d[2]:.2f}" if d else None for d in customdata_profit], - customdata=customdata_profit, - hovertemplate=( - "%{text}
" - "类型: %{customdata[3]}
" - "开仓订单ID: %{customdata[0]}
" - "平仓订单ID: %{customdata[1]}" - ) - )) - - # 添加亏损连接线（红色） - if loss_lines: - x_loss = [] - y_loss = [] - customdata_loss = [] - - for line in loss_lines: - x_loss.extend(line["x"]) - y_loss.extend(line["y"]) - x_loss.append(None) - y_loss.append(None) - - # 为每个点添加自定义数据 - customdata_loss.append([ - line["open_order_id"], - line["close_order_id"], - line["pnl"], - line["type"] - ]) - customdata_loss.append([ - line["open_order_id"], - line["close_order_id"], - line["pnl"], - line["type"] - ]) - customdata_loss.append(None) - - fig.add_trace(go.Scatter( - x=x_loss, - y=y_loss, - mode="lines", - name="亏损订单", - line=dict(color="rgba(231, 76, 60, 0.7)", width=LINE_WIDTH), - hoverinfo="text", - text=[f"亏损: {abs(d[2]):.2f}" if d else None for d in customdata_loss], - customdata=customdata_loss, - hovertemplate=( - "%{text}
" - "类型: %{customdata[3]}
" - "开仓订单ID: %{customdata[0]}<极>" - "平仓订单ID: %{customdata[1]}" - ) - )) - - -def generate_chart(kdf, odf, pnl_df, cum_realized, connections_df): - """生成K线图与交易标注""" - fig = go.Figure() - - # K线主图 - fig.add_trace(go.Candlestick( - x=kdf["time"], - open=kdf["open"], - high=kdf["high"], - low=kdf["low"], - close=kdf["close"], - name="K线", - increasing_line_color="#2ecc71", - decreasing_line_color="#e74c3c" - )) - - # 添加交易点 - trade_types = [ - (odf[odf["side"] == "long_open"], "开多", "#2ecc71", "triangle-up"), - (odf[odf["side"] == "long_close"], "平多", "#27ae60", "circle"), - (odf[odf["side"] == "short_open"], "开空", "#e74c3c", "triangle-down"), - (odf[odf["side"] == "short_close"], "平空", "#c0392b", "x") - ] - - for data, name, color, symbol in trade_types: - trace = create_trade_scatter(data, name, color, symbol) - if trace: - fig.add_trace(trace) - - # 添加开平仓连接线 - add_trade_connections(fig, connections_df, odf) - - # 计算时间范围，确保所有点都显示在图表中 - all_times = pd.concat([kdf["time"], odf["时间_x"]]) - min_time = all_times.min() - pd.Timedelta(minutes=10) - max_time = all_times.max() + pd.Timedelta(minutes=10) - - # 计算价格范围，确保所有点都显示在图表中 - min_price = min(kdf["low"].min(), odf["价格"].min()) * 0.99 - max_price = max(kdf["high"].max(), odf["价格"].max()) * 1.01 - - # 布局配置 - 更宽更扁的图表 - fig.update_layout( - xaxis_title="时间", - yaxis_title="价格 (USDT)", - legend=dict( - orientation="h", - yanchor="bottom", - y=1.02, - xanchor="left", - x=0, - font=dict(size=FONT_SIZE, color=TEXT_COLOR) # 图例文字使用黑色 - ), - xaxis=dict( - rangeslider=dict(visible=False), - type="date", - gridcolor="rgba(128, 128, 128, 0.2)", - range=[min_time, max_time], # 设置时间范围 - title_font=dict(color=TEXT_COLOR), # 坐标轴标题使用黑色 - tickfont=dict(color=TEXT_COLOR) # 刻度标签使用黑色 - ), - yaxis=dict( - gridcolor="rgba(128, 128, 128, 0.2)", - range=[min_price, max_price], # 设置价格范围 - title_font=dict(color=TEXT_COLOR), # 坐标轴标题使用黑色 - tickfont=dict(color=TEXT_COLOR) # 刻度标签使用黑色 - ), - hovermode="x unified", - hoverlabel=dict( - namelength=-1, - bgcolor="rgba(255, 255, 255, 0.9)", - font_size=FONT_SIZE, - font_color=TEXT_COLOR # 悬停标签文字使用黑色 - ), - margin=dict(l=50, r=50, t=80, b=50), - plot_bgcolor="rgba(240, 240, 240, 1)", - width=CHART_WIDTH, # 使用配置的宽度 - height=CHART_HEIGHT, # 使用配置的高度 - font=dict(size=FONT_SIZE, color=TEXT_COLOR), # 全局字体大小和颜色 - - # 增强交互性配置 - dragmode="pan", # 默认拖拽模式为平移 - clickmode="event+select", # 点击模式 - selectdirection="h", # 水平选择方向 - modebar=dict( - orientation="h", # 水平方向工具栏 - bgcolor="rgba(255, 255, 255, 0.7)", # 半透明背景 - color="rgba(0, 0, 0, 0.7)", # 图标颜色 - activecolor="rgba(0, 0, 0, 0.9)" # 激活图标颜色 - ) - ) - - # 添加模式栏按钮 - fig.update_layout( - modebar_add=[ - "zoom2d", - "pan2d", - "select2d", - "lasso2d", - "zoomIn2d", - "zoomOut2d", - "autoScale2d", - "resetScale2d", - "toImage" - ] - ) - - # 配置缩放行为 - 确保滚轮缩放正常工作 - fig.update_xaxes( - autorange=False, - fixedrange=False, # 允许缩放 - constrain="domain", # 约束在域内 - rangeslider=dict(visible=False) # 禁用范围滑块 - ) - - fig.update_yaxes( - autorange=False, - fixedrange=False, # 允许缩放 - scaleanchor="x", # 保持纵横比 - scaleratio=1, # 缩放比例 - constrain="domain" # 约束在域内 - ) - - # 保存并打开结果 - 启用滚轮缩放 - fig.write_html( - OUTPUT_HTML, - include_plotlyjs="cdn", - auto_open=True, - config={ - 'scrollZoom': True, # 启用滚轮缩放 - 'displayModeBar': True, # 显示工具栏 - 'displaylogo': False, # 隐藏Plotly标志 - 'responsive': True # 响应式布局 - } - ) - print(f"图表已生成: {OUTPUT_HTML}") - - # 返回盈亏详情 - if not pnl_df.empty: - pnl_df.to_csv("pnl_details.csv", index=False) - print(f"盈亏详情已保存: pnl_details.csv") - - if not connections_df.empty: - connections_df.to_csv("trade_connections.csv", index=False) - print(f"订单连接关系已保存: trade_connections.csv") - - return fig - - -# ========== 主执行流程 ========== -def main(): - print("开始处理数据...") - - # 加载数据 - kdf, median_step = load_kline_data() - odf = load_order_data() - - print(f"加载K线数据: {len(kdf)}条") - print(f"加载订单数据: {len(odf)}条") - - # 对齐交易时间 - odf = align_trades_to_candles(kdf, odf, median_step) - - # 检查时间范围 - kline_min_time = kdf["time"].min() - kline_max_time = kdf["time"].max() - order_min_time = odf["时间"].min() - order_max_time = odf["时间"].max() - - print(f"K线时间范围: {kline_min_time} 至 {kline_max_time}") - print(f"订单时间范围: {order_min_time} 至 {order_max_time}") - - # 检查是否有订单在K线时间范围外 - outside_orders = odf[(odf["时间"] < kline_min_time) | (odf["时间"] > kline_max_time)] - if not outside_orders.empty: - print(f"警告: 有 {len(outside_orders)} 个订单在K线时间范围外") - print(outside_orders[["时间", "方向", "价格"]]) - - # 计算盈亏和订单连接关系 - pnl_df, cum_realized, connections_df = calculate_pnl(odf) - print(f"累计已实现盈亏: {cum_realized:.2f} USDT") - print(f"订单连接关系: {len(connections_df)}条") - - # 生成图表 - generate_chart(kdf, odf, pnl_df, cum_realized, connections_df) - print("处理完成") - - -if __name__ == "__main__": - with warnings.catch_warnings(): - warnings.simplefilter("ignore") - main() \ No newline at end of file diff --git a/价格展示/test3.py b/价格展示/test3.py deleted file mode 100644 index cb852f3..0000000 --- a/价格展示/test3.py +++ /dev/null @@ -1,713 +0,0 @@ -import pandas as pd -import numpy as np -import plotly.graph_objects as go -from datetime import datetime, timezone, timedelta -import warnings -import os -import uuid - -# ========== 配置 ========== -KLINE_XLSX = "kline_data.xlsx" # K线数据文件名 -ORDERS_XLSX = "做市策略.xls" # 订单数据文件名 -OUTPUT_HTML = "kline_with_trades.html" -SYMBOL = "ETH-USDT" # 交易对筛选 - -# 时间与对齐配置 -ORDERS_TIME_IS_LOCAL_ASIA_SH = True # 订单时间是否为东八区时间 -SNAP_TRADES_TO_NEAREST_CANDLE = True # 对齐交易点到最近的K线时间 -SNAP_TOLERANCE_MULTIPLIER = 1.5 # 对齐容忍度倍数 - -# 图表尺寸配置 - 更宽更扁 -CHART_WIDTH = 2200 # 更宽的图表 -CHART_HEIGHT = 600 # 更矮的图表 -FONT_SIZE = 12 # 字体大小 -ANNOTATION_FONT_SIZE = 10 # 标注字体大小 -MARKER_SIZE = 10 # 标记大小 -LINE_WIDTH = 1.5 # 连接线宽度 - -# 颜色配置 - 所有文本使用黑色 -TEXT_COLOR = "black" # 所有文本使用黑色 -TEXT_OFFSET = 10 # 文本偏移量（像素） - - -# ========== 工具函数 ========== -def parse_numeric(x): - """高效解析数值类型，支持多种格式""" - if pd.isna(x): - return np.nan - try: - # 尝试直接转换（大多数情况） - return float(x) - except: - # 处理特殊格式 - s = str(x).replace(",", "").replace("USDT", "").replace("张", "").strip() - if s.endswith("%"): - s = s[:-1] - return float(s) if s else np.nan - - -def epoch_to_dt(x): - """将时间戳转换为上海时区时间""" - try: - return pd.to_datetime(int(x), unit="s", utc=True).tz_convert("Asia/Shanghai") - except: - return pd.NaT - - -def zh_side(row): - """解析交易方向""" - direction = str(row.get("方向", "")).strip() - if "开多" in direction: return "long_open" - if "平多" in direction: return "long_close" - if "开空" in direction: return "short_open" - if "平空" in direction: return "short_close" - return "unknown" - - -# ========== 数据加载与预处理 ========== -def load_kline_data(): - """加载并预处理K线数据""" - if not os.path.exists(KLINE_XLSX): - raise FileNotFoundError(f"K线数据文件不存在: {KLINE_XLSX}") - - kdf = pd.read_excel(KLINE_XLSX, dtype=str) - kdf.columns = [str(c).strip().lower() for c in kdf.columns] - - # 验证必要列 - required_cols = {"id", "open", "close", "low", "high"} - missing = required_cols - set(kdf.columns) - if missing: - raise ValueError(f"K线表缺少列: {missing}") - - # 时间转换 - 确保id是秒级时间戳 - kdf["time"] = kdf["id"].apply(epoch_to_dt) - - # 数值转换（向量化操作提升性能） - for col in ["open", "close", "low", "high"]: - kdf[col] = pd.to_numeric(kdf[col].apply(parse_numeric), errors="coerce") - - # 清理无效数据 - kdf = kdf.dropna(subset=["time", "open", "close", "low", "high"]) - kdf = kdf.sort_values("time").reset_index(drop=True) - - # 计算K线周期（用于交易点对齐） - if len(kdf) >= 3: - median_step = kdf["time"].diff().median() - else: - median_step = pd.Timedelta(minutes=1) - - return kdf, median_step - - -def load_order_data(): - """加载并预处理订单数据""" - if not os.path.exists(ORDERS_XLSX): - raise FileNotFoundError(f"订单数据文件不存在: {ORDERS_XLSX}") - - odf = pd.read_excel(ORDERS_XLSX, dtype=str) - - # 验证必要列 - need_order_cols = ["时间", "交易对", "方向", "模式", "数量(张)", "成交价", "交易额", "消耗手续费", "用户盈亏"] - missing = set(need_order_cols) - set(odf.columns) - if missing: - raise ValueError(f"订单表缺少列: {missing}") - - # 筛选交易对 - if SYMBOL and "交易对" in odf.columns: - odf = odf[odf["交易对"].astype(str).str.strip() == SYMBOL] - - # 时间处理 - 确保时间格式正确 - with warnings.catch_warnings(): - warnings.simplefilter("ignore") - if ORDERS_TIME_IS_LOCAL_ASIA_SH: - # 尝试多种格式解析时间 - odf["时间"] = pd.to_datetime(odf["时间"], errors="coerce", format="mixed") - # 本地化为上海时区 - odf["时间"] = odf["时间"].dt.tz_localize("Asia/Shanghai", ambiguous="NaT", nonexistent="shift_forward") - else: - # 如果Excel时间已经是UTC - odf["时间"] = pd.to_datetime(odf["时间"], utc=True, errors="coerce").dt.tz_convert("Asia/Shanghai") - - # 数值转换 - numeric_cols = { - "数量(张)": "数量", - "成交价": "价格", - "交易额": "交易额_num", - "消耗手续费": "手续费", - "用户盈亏": "盈亏" - } - - for src, dest in numeric_cols.items(): - odf[dest] = pd.to_numeric(odf[src].apply(parse_numeric), errors="coerce") - - # 解析交易方向 - odf["side"] = odf.apply(zh_side, axis=1) - - # 为每个订单生成唯一ID - odf["order_id"] = [str(uuid.uuid4()) for _ in range(len(odf))] - - # 计算本金（数量 * 价格） - odf["本金"] = odf["数量"] * odf["价格"] - - # 清理无效数据 - odf = odf.dropna(subset=["时间", "价格"]) - odf = odf.sort_values("时间").reset_index(drop=True) - - return odf - - -def align_trades_to_candles(kdf, odf, median_step): - """将交易点对齐到最近的K线时间""" - if not SNAP_TRADES_TO_NEAREST_CANDLE or kdf.empty or odf.empty: - return odf.assign(时间_x=odf["时间"]) - - snap_tolerance = pd.Timedelta(seconds=max(1, int(median_step.total_seconds() * SNAP_TOLERANCE_MULTIPLIER))) - - # 使用merge_asof高效对齐 - 使用方向为'backward'确保交易点对齐到前一个K线 - anchor = kdf[["time"]].copy().rename(columns={"time": "k_time"}) - odf_sorted = odf.sort_values("时间") - - # 关键优化：使用'backward'方向确保交易点对齐到前一个K线 - aligned = pd.merge_asof( - odf_sorted, - anchor, - left_on="时间", - right_on="k_time", - direction="backward", # 使用'backward'确保交易点对齐到前一个K线 - tolerance=snap_tolerance - ) - - # 保留原始时间作为参考 - aligned["原始时间"] = aligned["时间"] - aligned["时间_x"] = aligned["k_time"].fillna(aligned["时间"]) - - return aligned - - -# ========== 持仓跟踪与盈亏计算 ========== -class PositionTracker: - """FIFO持仓跟踪器，支持订单走向可视化""" - - def __init__(self): - self.long_lots = [] # (数量, 价格, 时间, 手续费, 订单ID) - self.short_lots = [] # (数量, 价格, 时间, 手续费, 订单ID) - self.realized_pnl = 0.0 - self.history = [] # 记录所有交易历史 - self.trade_connections = [] # 记录开平仓连接关系 - - def open_long(self, qty, price, time, fee, order_id): - """开多仓""" - if qty > 1e-9: - self.long_lots.append((qty, price, time, fee, order_id)) - - def close_long(self, qty, price, time, fee, order_id): - """平多仓""" - remaining = qty - local_pnl = 0.0 - connections = [] # 本次平仓的连接关系 - - while remaining > 1e-9 and self.long_lots: - lot_qty, lot_price, lot_time, lot_fee, open_order_id = self.long_lots[0] - take = min(lot_qty, remaining) - pnl = (price - lot_price) * take - local_pnl += pnl - lot_qty -= take - remaining -= take - - # 记录开平仓连接 - connection = { - "open_time": lot_time, - "close_time": time, - "open_price": lot_price, - "close_price": price, - "qty": take, - "pnl": pnl, - "type": "long", - "open_order_id": open_order_id, - "close_order_id": order_id - } - self.trade_connections.append(connection) - connections.append(connection) - - # 记录平仓详情 - self.history.append({ - "开仓时间": lot_time, - "平仓时间": time, - "数量": take, - "开仓价": lot_price, - "平仓价": price, - "盈亏": pnl, - "类型": "平多", - "开仓订单ID": open_order_id, - "平仓订单ID": order_id - }) - - if lot_qty <= 1e-9: - self.long_lots.pop(0) - else: - self.long_lots[0] = (lot_qty, lot_price, lot_time, lot_fee, open_order_id) - - local_pnl -= fee - self.realized_pnl += local_pnl - return local_pnl, connections - - def open_short(self, qty, price, time, fee, order_id): - """开空仓""" - if qty > 1e-9: - self.short_lots.append((qty, price, time, fee, order_id)) - - def close_short(self, qty, price, time, fee, order_id): - """平空仓""" - remaining = qty - local_pnl = 0.0 - connections = [] # 本次平仓的连接关系 - - while remaining > 1e-9 and self.short_lots: - lot_qty, lot_price, lot_time, lot_fee, open_order_id = self.short_lots[0] - take = min(lot_qty, remaining) - pnl = (lot_price - price) * take - local_pnl += pnl - lot_qty -= take - remaining -= take - - # 记录开平仓连接 - connection = { - "open_time": lot_time, - "close_time": time, - "open_price": lot_price, - "close_price": price, - "q极": take, - "pnl": pnl, - "type": "short", - "open_order_id": open_order_id, - "close_order_id": order_id - } - self.trade_connections.append(connection) - connections.append(connection) - - # 记录平仓详情 - self.history.append({ - "开仓时间": lot_time, - "平仓时间": time, - "数量": take, - "开仓价": lot_price, - "平仓价": price, - "盈亏": pnl, - "类型": "平空", - "开仓订单ID": open_order_id, - "平仓订单ID": order_id - }) - - if lot_qty <= 1e-9: - self.short_lots.pop(0) - else: - self.short_lots[0] = (lot_qty, lot_price, lot_time, lot_fee, open_order_id) - - local_pnl -= fee - self.realized_pnl += local_pnl - return local_pnl, connections - - -def calculate_pnl(odf): - """计算持仓盈亏和订单连接关系""" - tracker = PositionTracker() - all_connections = [] - - for idx, r in odf.iterrows(): - qty = r["数量"] - price = r["价格"] - ts = r["时间"] - fee = r["手续费"] - side = r["side"] - order_id = r["order_id"] - - if side == "long_open": - tracker.open_long(qty, price, ts, fee, order_id) - elif side == "long_close": - _, connections = tracker.close_long(qty, price, ts, fee, order_id) - all_connections.extend(connections) - elif side == "short_open": - tracker.open_short(qty, price, ts, fee, order_id) - elif side == "short_close": - _, connections = tracker.close_short(qty, price, ts, fee, order_id) - all_connections.extend(connections) - - # 创建盈亏DataFrame - if tracker.history: - pnl_df = pd.DataFrame(tracker.history) - # 添加对齐后的时间 - pnl_df["时间_x"] = pnl_df["平仓时间"].apply( - lambda x: odf.loc[odf["时间"] == x, "时间_x"].values[0] if not odf.empty else x - ) - else: - pnl_df = pd.DataFrame() - - # 创建连接关系DataFrame - connections_df = pd.DataFrame(all_connections) if all_connections else pd.DataFrame() - - return pnl_df, tracker.realized_pnl, connections_df - - -# ========== 可视化 ========== -def create_trade_scatter(df, name, color, symbol): - """创建交易点散点图""" - if df.empty: - return None - - # 为不同类型的交易点创建不同的文本标签 - if name == "开多": - text = "开多\n" + df["价格"].apply(lambda x: f"{x:.2f}") + "\n" + df["本金"].apply(lambda x: f"{x:.0f}") - elif name == "平多": - text = "平多\n" + df["价格"].apply(lambda x: f"{x:.2f}") + "\n" + df["盈亏"].apply(lambda x: f"{x:.0f}") - elif name == "开空": - text = "开空\n" + df["价格"].apply(lambda x: f"{x:.2f}") + "\n" + df["本金"].apply(lambda x: f"{x:.0f}") - elif name == "平空": - text = "平空\n" + df["价格"].apply(lambda x: f"{x:.2f}") + "\n" + df["盈亏"].apply(lambda x: f"{x:.0f}") - else: - text = name - - return go.Scatter( - x=df["时间_x"], - y=df["价格"], - mode="markers+text", - name=name, - text=text, - textposition="middle right", # 文本放在右侧中间位置 - textfont=dict(size=ANNOTATION_FONT_SIZE, color=TEXT_COLOR), # 使用黑色文本 - marker=dict( - size=MARKER_SIZE, - color=color, - symbol=symbol, - line=dict(width=1.5, color="black") - ), - customdata=np.stack([ - df["数量"].to_numpy(), - df["价格"].to_numpy(), - df["手续费"].to_numpy(), - df.get("盈亏", np.nan).to_numpy(), - df.get("原始时间", df["时间"]).dt.strftime("%Y-%m-%d %H:%M:%S").to_numpy(), - df["order_id"].to_numpy(), - df["本金"].to_numpy() - ], axis=-1), - hovertemplate=( - f"{name}
" - "数量: %{customdata[0]:.0f}张
" - "价格: %{customdata[1]:.2f}
" - "手续费: %{customdata[2]:.6f}
" - "盈亏: %{customdata[3]:.4f}
" - "本金: %{customdata[6]:.0f}
" - "时间: %{customdata[4]}
" - "订单ID: %{customdata[5]}" - ) - ) - - -def add_trade_connections(fig, connections_df, odf): - """添加开平仓连接线""" - if connections_df.empty: - return - - # 为盈利和亏损的连接线分别创建轨迹 - profit_lines = [] - loss_lines = [] - - for _, conn in connections_df.iterrows(): - # 获取开仓点和平仓点的坐标 - open_point = odf[odf["order_id"] == conn["open_order_id"]].iloc[0] - close_point = odf[odf["order_id"] == conn["close_order_id"]].iloc[0] - - line_data = { - "x": [open_point["时间_x"], close_point["时间_x"]], - "y": [open_point["价格"], close_point["价格"]], - "pnl": conn["pnl"], - "type": conn["type"], - "open_order_id": conn["open_order_id"], - "close_order_id": conn["close_order_id"] - } - - if conn["pnl"] >= 0: - profit_lines.append(line_data) - else: - loss_lines.append(line_data) - - # 添加盈利连接线（绿色） - if profit_lines: - x_profit = [] - y_profit = [] - customdata_profit = [] - - for line in profit_lines: - x_profit.extend(line["x"]) - y_profit.extend(line["y"]) - x_profit.append(None) - y_profit.append(None) - - # 为每个点添加自定义数据 - customdata_profit.append([ - line["open_order_id"], - line["close_order_id"], - line["pnl"], - line["type"] - ]) - customdata_profit.append([ - line["open_order_id"], - line["close_order_id"], - line["pnl"], - line["type"] - ]) - customdata_profit.append(None) - - fig.add_trace(go.Scatter( - x=x_profit, - y=y_profit, - mode="lines", - name="盈利订单", - line=dict(color="rgba(46, 204, 113, 0.7)", width=LINE_WIDTH), - hoverinfo="text", - text=[f"盈利: {d[2]:.2f}" if d else None for d in customdata_profit], - customdata=customdata_profit, - hovertemplate=( - "%{text}
" - "类型: %{customdata[3]}
" - "开仓订单ID: %{customdata[0]}
" - "平仓订单ID: %{customdata[1]}" - ) - )) - - # 添加亏损连接线（红色） - if loss_lines: - x_loss = [] - y_loss = [] - customdata_loss = [] - - for line in loss_lines: - x_loss.extend(line["x"]) - y_loss.extend(line["y"]) - x_loss.append(None) - y_loss.append(None) - - # 为每个点添加自定义数据 - customdata_loss.append([ - line["open_order_id"], - line["close_order_id"], - line["pnl"], - line["type"] - ]) - customdata_loss.append([ - line["open_order_id"], - line["close_order_id"], - line["pnl"], - line["type"] - ]) - customdata_loss.append(None) - - fig.add_trace(go.Scatter( - x=x_loss, - y=y_loss, - mode="lines", - name="亏损订单", - line=dict(color="rgba(231, 76, 60, 0.7)", width=LINE_WIDTH), - hoverinfo="text", - text=[f"亏损: {abs(d[2]):.2f}" if d else None for d in customdata_loss], - customdata=customdata_loss, - hovertemplate=( - "%{text}
" - "类型: %{customdata[3]}
" - "开仓订单ID: %{customdata[0]}<极>" - "平仓订单ID: %{customdata[1]}" - ) - )) - - -def generate_chart(kdf, odf, pnl_df, cum_realized, connections_df): - """生成K线图与交易标注""" - fig = go.Figure() - - # K线主图 - fig.add_trace(go.Candlestick( - x=kdf["time"], - open=kdf["open"], - high=kdf["high"], - low=kdf["low"], - close=kdf["close"], - name="K线", - increasing_line_color="#2ecc71", - decreasing_line_color="#e74c3c" - )) - - # 添加交易点 - trade_types = [ - (odf[odf["side"] == "long_open"], "开多", "#2ecc71", "triangle-up"), - (odf[odf["side"] == "long_close"], "平多", "#27ae60", "circle"), - (odf[odf["side"] == "short_open"], "开空", "#e74c3c", "triangle-down"), - (odf[odf["side"] == "short_close"], "平空", "#c0392b", "x") - ] - - for data, name, color, symbol in trade_types: - trace = create_trade_scatter(data, name, color, symbol) - if trace: - fig.add_trace(trace) - - # 添加开平仓连接线 - add_trade_connections(fig, connections_df, odf) - - # 计算时间范围，确保所有点都显示在图表中 - all_times = pd.concat([kdf["time"], odf["时间_x"]]) - min_time = all_times.min() - pd.Timedelta(minutes=10) - max_time = all_times.max() + pd.Timedelta(minutes=10) - - # 计算价格范围，确保所有点都显示在图表中 - min_price = min(kdf["low"].min(), odf["价格"].min()) * 0.999 - max_price = max(kdf["high"].max(), odf["价格"].max()) * 1.001 - - # 布局配置 - 更宽更扁的图表 - fig.update_layout( - xaxis_title="时间", - yaxis_title="价格 (USDT)", - legend=dict( - orientation="h", - yanchor="bottom", - y=1.02, - xanchor="left", - x=0, - font=dict(size=FONT_SIZE, color=TEXT_COLOR) # 图例文字使用黑色 - ), - xaxis=dict( - rangeslider=dict(visible=False), - type="date", - gridcolor="rgba(128, 128, 128, 0.2)", - range=[min_time, max_time], # 设置时间范围 - title_font=dict(color=TEXT_COLOR), # 坐标轴标题使用黑色 - tickfont=dict(color=TEXT_COLOR) # 刻度标签使用黑色 - ), - yaxis=dict( - gridcolor="rgba(128, 128, 128, 0.2)", - range=[min_price, max_price], # 设置价格范围 - title_font=dict(color=TEXT_COLOR), # 坐标轴标题使用黑色 - tickfont=dict(color=TEXT_COLOR) # 刻度标签使用黑色 - ), - hovermode="x unified", - hoverlabel=dict( - namelength=-1, - bgcolor="rgba(255, 255, 255, 0.9)", - font_size=FONT_SIZE, - font_color=TEXT_COLOR # 悬停标签文字使用黑色 - ), - margin=dict(l=50, r=50, t=80, b=50), - plot_bgcolor="rgba(240, 240, 240, 1)", - width=CHART_WIDTH, # 使用配置的宽度 - height=CHART_HEIGHT, # 使用配置的高度 - font=dict(size=FONT_SIZE, color=TEXT_COLOR), # 全局字体大小和颜色 - - # 增强交互性配置 - dragmode="pan", # 默认拖拽模式为平移 - clickmode="event+select", # 点击模式 - selectdirection="h", # 水平选择方向 - modebar=dict( - orientation="h", # 水平方向工具栏 - bgcolor="rgba(255, 255, 255, 0.7)", # 半透明背景 - color="rgba(0, 0, 0, 0.7)", # 图标颜色 - activecolor="rgba(0, 0, 0, 0.9)" # 激活图标颜色 - ) - ) - - # 添加模式栏按钮 - fig.update_layout( - modebar_add=[ - "zoom2d", - "pan2d", - "select2d", - "lasso2d", - "zoomIn2d", - "zoomOut2d", - "autoScale2d", - "resetScale2d", - "toImage" - ] - ) - - # 配置缩放行为 - 确保滚轮缩放正常工作 - fig.update_xaxes( - autorange=False, - fixedrange=False, # 允许缩放 - constrain="domain", # 约束在域内 - rangeslider=dict(visible=False) # 禁用范围滑块 - ) - - fig.update_yaxes( - autorange=False, - fixedrange=False, # 允许缩放 - scaleanchor="x", # 保持纵横比 - scaleratio=1, # 缩放比例 - constrain="domain" # 约束在域内 - ) - - # 保存并打开结果 - 启用滚轮缩放 - fig.write_html( - OUTPUT_HTML, - include_plotlyjs="cdn", - auto_open=True, - config={ - 'scrollZoom': True, # 启用滚轮缩放 - 'displayModeBar': True, # 显示工具栏 - 'displaylogo': False, # 隐藏Plotly标志 - 'responsive': True # 响应式布局 - } - ) - print(f"图表已生成: {OUTPUT_HTML}") - - # 返回盈亏详情 - if not pnl_df.empty: - pnl_df.to_csv("pnl_details.csv", index=False) - print(f"盈亏详情已保存: pnl_details.csv") - - if not connections_df.empty: - connections_df.to_csv("trade_connections.csv", index=False) - print(f"订单连接关系已保存: trade_connections.csv") - - return fig - - -# ========== 主执行流程 ========== -def main(): - print("开始处理数据...") - - # 加载数据 - kdf, median_step = load_kline_data() - odf = load_order_data() - - print(f"加载K线数据: {len(kdf)}条") - print(f"加载订单数据: {len(odf)}条") - - # 对齐交易时间 - odf = align_trades_to_candles(kdf, odf, median_step) - - # 检查时间范围 - kline_min_time = kdf["time"].min() - kline_max_time = kdf["time"].max() - order_min_time = odf["时间"].min() - order_max_time = odf["时间"].max() - - print(f"K线时间范围: {kline_min_time} 至 {kline_max_time}") - print(f"订单时间范围: {order_min_time} 至 {order_max_time}") - - # 检查是否有订单在K线时间范围外 - outside_orders = odf[(odf["时间"] < kline_min_time) | (odf["时间"] > kline_max_time)] - if not outside_orders.empty: - print(f"警告: 有 {len(outside_orders)} 个订单在K线时间范围外") - print(outside_orders[["时间", "方向", "价格"]]) - - # 计算盈亏和订单连接关系 - pnl_df, cum_realized, connections_df = calculate_pnl(odf) - print(f"累计已实现盈亏: {cum_realized:.2f} USDT") - print(f"订单连接关系: {len(connections_df)}条") - - # 生成图表 - generate_chart(kdf, odf, pnl_df, cum_realized, connections_df) - print("处理完成") - - -if __name__ == "__main__": - with warnings.catch_warnings(): - warnings.simplefilter("ignore") - main() \ No newline at end of file diff --git a/价格展示/trade_connections.csv b/价格展示/trade_connections.csv deleted file mode 100644 index d442c2c..0000000 --- a/价格展示/trade_connections.csv +++ 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20:46:26+08:00,4609.77,4603.6,,-567.6400000000067,long,da034c24-f333-4197-ae9d-7dfa8639be45,9d59670d-a478-4432-8ec0-e3a8c4ec4d8a,92.0 -2025-08-28 20:43:41+08:00,2025-08-28 20:46:26+08:00,4609.77,4603.6,,-3702.0000000000437,long,da034c24-f333-4197-ae9d-7dfa8639be45,e83ff9d3-3078-4f5c-8e6a-fa5750c97b55,600.0 -2025-08-28 20:43:41+08:00,2025-08-28 20:46:27+08:00,4609.77,4604.08,,-995.7500000000891,long,da034c24-f333-4197-ae9d-7dfa8639be45,433dc03b-8b85-4951-9f21-dfaa5d6a0de5,175.0 -2025-08-29 09:45:36+08:00,2025-08-29 09:49:22+08:00,4466.85,4458.15,447.0,3888.9000000003252,short,87d823b2-675d-4501-bb36-b40eef344b7c,28bb7706-f2ce-480e-b606-fc5073ce4153, -2025-08-29 10:13:26+08:00,2025-08-29 10:18:05+08:00,4470.7,4473.08,,4.760000000000218,long,6d7fe294-0553-46ac-9179-e22446e727dc,b50fd6a4-865b-4cd4-8b83-015dde307912,2.0 -2025-08-29 10:13:27+08:00,2025-08-29 10:18:05+08:00,4470.71,4473.08,,1054.6499999999514,long,3d441a61-f852-4d4d-88d9-a2c4494e3a5f,b50fd6a4-865b-4cd4-8b83-015dde307912,445.0 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12:58:10+08:00,4477.15,4471.43,670.0,3832.3999999995613,short,13bb04ff-529a-48f4-a062-bdbda01abe9a,01a6ebd4-6c63-4e58-9f52-4317a83a6c27, -2025-08-29 13:05:31+08:00,2025-08-29 13:06:05+08:00,4466.57,4472.34,671.0,-3871.670000000293,short,5c439227-9432-48c1-8c70-184e65586599,398e954e-0534-4f4c-bdda-5d14d858afae, -2025-08-29 13:17:39+08:00,2025-08-29 13:19:35+08:00,4461.42,4468.3,448.0,-3082.240000000049,short,d770f2c0-6aed-4bc2-bee2-f98209775454,14ce65ce-8af2-4c07-8441-bdeea724197e, -2025-08-29 13:59:25+08:00,2025-08-29 14:01:39+08:00,4476.01,4484.33,,382.7199999999866,long,1f80cf00-8910-42af-a7ac-dd2199579d04,96e160f6-0a35-4ac4-9f3e-295065a56092,46.0 -2025-08-29 13:59:25+08:00,2025-08-29 14:01:39+08:00,4476.01,4484.33,,3327.9999999998836,long,1f80cf00-8910-42af-a7ac-dd2199579d04,db2ea541-8ece-4876-baa0-f803629d4675,400.0 -2025-08-29 14:15:38+08:00,2025-08-29 14:18:12+08:00,4457.41,4451.26,448.0,2755.199999999837,short,2616d754-2ae8-43c0-a382-46901e0dba21,913e0886-23e4-467d-932d-79e960df2947, -2025-08-29 14:37:31+08:00,2025-08-29 14:39:31+08:00,4451.44,4451.34,,-44.89999999975498,long,9f225f1e-cdc5-42cc-8c22-6d39f68da6d6,db5c616d-faf7-4183-8e46-b95f09dbad99,449.0 -2025-08-29 14:41:21+08:00,2025-08-29 14:44:17+08:00,4451.53,4455.7,,1872.3300000000327,long,5ba24885-5747-405a-8fa9-6a9749dbe6b4,f7e02df2-857b-4e3a-a6aa-c0d7362cb5bb,449.0 -2025-08-29 15:01:14+08:00,2025-08-29 15:02:16+08:00,4448.83,4428.34,449.0,9200.009999999902,short,a605bd22-e12e-44a4-9e1c-87c145bc5aa4,365ff72f-891a-4314-a005-d320d2074d5f, -2025-08-29 15:12:00+08:00,2025-08-29 15:15:04+08:00,4412.37,4393.89,453.0,8371.439999999802,short,03169227-80cc-4c41-89e5-7cbc59174c90,7939f969-7566-453d-a718-dfa6b96ee987, -2025-08-29 15:44:10+08:00,2025-08-29 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21:34:27+08:00,4386.29,4372.44,101.0,1398.8500000000367,short,f1e4b54c-d392-4dc4-8f73-40a8733b85fe,16329965-69b4-42a4-8145-79d1a0d2e92b, -2025-08-29 21:30:11+08:00,2025-08-29 21:34:27+08:00,4386.29,4372.44,200.0,2770.0000000000728,short,f1e4b54c-d392-4dc4-8f73-40a8733b85fe,1b66a876-041a-480e-a9d6-428a3e301ec4, -2025-08-30 08:15:30+08:00,2025-08-30 08:25:24+08:00,4343.62,4355.47,,4740.0000000001455,long,fb636839-9fb2-4e2f-bdb0-14bd57ade58a,6b8d4b73-132c-4c86-92f9-2a5df18943fd,400.0 -2025-08-30 08:15:30+08:00,2025-08-30 08:25:24+08:00,4343.62,4355.47,,3436.5000000001055,long,fb636839-9fb2-4e2f-bdb0-14bd57ade58a,a744bd39-3c81-4cb1-a153-60ed71d6748f,290.0 -2025-08-30 08:32:12+08:00,2025-08-30 08:35:26+08:00,4342.48,4337.98,,-288.0,long,e6185c1c-debd-4a9c-928c-edd28b360578,401ccb35-f82c-4df2-9a29-f9cd57481767,64.0 -2025-08-30 08:32:12+08:00,2025-08-30 08:35:26+08:00,4342.48,4335.64,,-3850.91999999957,long,e6185c1c-debd-4a9c-928c-edd28b360578,69d6c400-d534-47b6-b2a8-8da09b2986aa,563.0 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16:11:35+08:00,2025-08-30 16:32:13+08:00,4393.35,4389.12,500.0,2115.0000000002365,short,cdf388db-68a2-47ea-ba94-431f02dadeac,754db465-b458-43a3-b2b5-3fb4f9fc2aaf, -2025-08-30 16:11:35+08:00,2025-08-30 16:32:13+08:00,4393.35,4389.12,237.0,1002.5100000001121,short,e6f8d379-c20f-4a9d-90a4-7a5904bff1f9,754db465-b458-43a3-b2b5-3fb4f9fc2aaf, -2025-08-30 17:05:10+08:00,2025-08-30 17:11:26+08:00,4390.54,4387.01,133.0,469.48999999996613,short,d4db2208-ba63-42c7-af51-9cec92bfe6f1,46858333-121c-4020-9567-bc44d63dec01, -2025-08-30 17:05:10+08:00,2025-08-30 17:11:26+08:00,4390.54,4387.01,190.0,670.6999999999516,short,d4db2208-ba63-42c7-af51-9cec92bfe6f1,4d19376a-cfb7-4da9-8859-982e073624d1, -2025-08-30 17:05:10+08:00,2025-08-30 17:11:26+08:00,4390.54,4387.01,310.0,1094.299999999921,short,00dda8f5-7156-4d25-9ea0-29e5fb2a4aca,4d19376a-cfb7-4da9-8859-982e073624d1, -2025-08-30 17:05:10+08:00,2025-08-30 17:11:26+08:00,4390.54,4387.01,505.0,1782.6499999998714,short,00dda8f5-7156-4d25-9ea0-29e5fb2a4aca,e28b9838-7c48-4c78-a369-8259844cc3f4, -2025-08-30 17:18:39+08:00,2025-08-30 17:28:37+08:00,4389.73,4385.08,,-5296.349999999586,long,2789c169-8a5d-47da-a6f9-6800e72ec26e,cd9481fb-33de-4e75-beb8-119ace92b5f6,1139.0 -2025-08-30 17:31:17+08:00,2025-08-30 17:37:08+08:00,4379.77,4384.13,1141.0,-4974.759999999626,short,434fc13a-925d-4abd-8677-0cd2b1a412f0,1e63ca1f-7f77-4ed9-a885-159f5dac641e, -2025-08-30 17:44:10+08:00,2025-08-30 17:48:40+08:00,4384.13,4388.17,1140.0,-4605.5999999999585,short,288b4dc7-affd-4b36-897a-e02a024dbae0,70c0e310-219d-45d2-a91d-6b685af4a065, -2025-08-30 17:50:34+08:00,2025-08-30 17:54:02+08:00,4389.94,4393.0,,3482.2800000004554,long,b78acf6a-d3b3-44c2-b484-ad95dfedd167,9473c228-7657-44cd-9038-38aeb833c3ab,1138.0 -2025-08-30 18:05:09+08:00,2025-08-30 18:07:30+08:00,4392.24,4394.52,,2594.640000000745,long,44cd4f02-5250-47d0-8e71-a66f856405ba,81abc1fa-1789-4f69-aaaa-2da1f3f34186,1138.0 -2025-08-31 10:28:55+08:00,2025-08-31 10:34:47+08:00,4450.3,4446.25,,-1320.3000000000593,long,0fe00795-d7d9-4586-b864-e445017c7f9d,716e265c-d39a-46b3-92e2-99f5d8a6b45f,326.0 -2025-08-31 10:28:55+08:00,2025-08-31 10:34:47+08:00,4450.3,4446.25,,-2316.600000000104,long,0fe00795-d7d9-4586-b864-e445017c7f9d,e7b360d6-da94-4cb7-b8c7-0b10db53a03b,572.0 -2025-08-31 11:08:10+08:00,2025-08-31 11:12:01+08:00,4454.6,4458.68,897.0,-3659.7599999999347,short,c31d66e2-a558-4b86-a520-3a9eb9d55346,f737efdc-5818-4bc5-b3db-1da76e7caf71, -2025-08-31 11:24:10+08:00,2025-08-31 11:27:33+08:00,4457.8,4453.59,,-2138.6800000000185,long,38413547-9d48-43fc-a2be-12d2a8e0cd9f,ce5c15c0-d938-4b48-ab08-807531847f2e,508.0 -2025-08-31 11:24:10+08:00,2025-08-31 11:27:33+08:00,4457.8,4453.59,,-1637.6900000000142,long,816792ec-d409-4688-b7fd-2ee3e3f4491e,ce5c15c0-d938-4b48-ab08-807531847f2e,389.0 -2025-08-31 11:49:43+08:00,2025-08-31 11:53:50+08:00,4462.28,4469.74,,3730.000000000018,long,b1e2c3bf-db41-4762-b152-7a6a469c8cdb,52c185f1-3f74-42b6-afe5-6032df9dcb11,500.0 -2025-08-31 11:49:43+08:00,2025-08-31 11:53:50+08:00,4462.28,4469.74,,2954.1600000000144,long,b1e2c3bf-db41-4762-b152-7a6a469c8cdb,5fbbe739-8d3c-4aab-8333-7860bdca1d69,396.0 -2025-08-31 11:54:26+08:00,2025-08-31 12:00:20+08:00,4475.79,4483.53,,2267.819999999936,long,614c6489-c5a5-451d-a2a0-699e38d5a695,5da7f47f-33e3-45b8-9dfe-8232807978fc,293.0 -2025-08-31 11:54:26+08:00,2025-08-31 12:00:20+08:00,4475.79,4483.53,,1547.9999999999563,long,c443995b-f986-4a55-b6d9-59c43fa71fd2,5da7f47f-33e3-45b8-9dfe-8232807978fc,200.0 -2025-08-31 11:54:26+08:00,2025-08-31 12:00:20+08:00,4475.79,4483.53,,3095.9999999999127,long,c443995b-f986-4a55-b6d9-59c43fa71fd2,7d96c3c9-b227-48f3-b9fe-9a5c08871cfe,400.0 -2025-08-31 12:15:25+08:00,2025-08-31 12:25:03+08:00,4473.35,4467.05,894.0,5632.200000000163,short,d5064049-73a7-4a01-8d14-3d0ba056d572,b4537133-4056-4afc-80c2-7656e28cff88, -2025-08-31 12:30:21+08:00,2025-08-31 12:33:51+08:00,4461.85,4465.99,500.0,-2069.999999999709,short,516d9754-0fe4-4f2e-9289-5827765f7c67,13f52cac-de10-4bba-93d5-8376ba2c5139, -2025-08-31 12:30:21+08:00,2025-08-31 12:33:51+08:00,4461.85,4465.88,100.0,-402.99999999997453,short,516d9754-0fe4-4f2e-9289-5827765f7c67,a77196b2-cc47-482b-8fb0-a140d25da936, -2025-08-31 12:30:21+08:00,2025-08-31 12:33:51+08:00,4461.85,4465.99,296.0,-1225.4399999998277,short,516d9754-0fe4-4f2e-9289-5827765f7c67,c529dbf2-2dd4-46aa-b5b6-dd0ed4f473e2, -2025-08-31 12:42:50+08:00,2025-08-31 12:48:13+08:00,4464.2,4468.3,661.0,-2710.1000000002405,short,0f3ef65f-e754-4229-87e6-e0f102020ce9,bce7cdc5-2c37-4bda-9b2a-05c865dd69ba, -2025-08-31 12:42:50+08:00,2025-08-31 12:48:13+08:00,4464.2,4468.3,235.0,-963.5000000000855,short,10e40e0b-a920-4e80-8d17-ea6f73d645e3,bce7cdc5-2c37-4bda-9b2a-05c865dd69ba, -2025-08-31 13:31:35+08:00,2025-08-31 13:38:28+08:00,4453.99,4450.23,,-376.0000000000218,long,e65553ad-4738-4b5f-af08-c7373301aef8,ce3b836f-f3c8-4e27-bdd5-33b9e1ba2bc9,100.0 -2025-08-31 13:31:35+08:00,2025-08-31 13:38:28+08:00,4454.98,4450.23,,-2850.0,long,57f64aba-942f-4563-a3c7-9dfdfeaf98e4,ce3b836f-f3c8-4e27-bdd5-33b9e1ba2bc9,600.0 -2025-08-31 13:31:35+08:00,2025-08-31 13:38:28+08:00,4454.98,4450.23,,-940.5,long,597f272b-ce3c-45bf-99ee-4abe2f630972,ce3b836f-f3c8-4e27-bdd5-33b9e1ba2bc9,198.0 -2025-08-31 14:22:05+08:00,2025-08-31 14:23:54+08:00,4441.46,4446.28,275.0,-1325.49999999992,short,eafee2f8-8601-47c7-bfe0-2f0a35bd1411,3744b6fa-5971-44d1-885f-7c7f93da8e70, -2025-08-31 14:22:05+08:00,2025-08-31 14:23:54+08:00,4442.21,4446.28,100.0,-406.9999999999709,short,702cd777-dc0b-4602-8c19-618520cf46f4,3744b6fa-5971-44d1-885f-7c7f93da8e70, -2025-08-31 14:22:05+08:00,2025-08-31 14:23:54+08:00,4441.46,4446.28,525.0,-2530.499999999847,short,be46bffb-290a-477a-81d9-fd4e7c1d2f3c,3744b6fa-5971-44d1-885f-7c7f93da8e70, -2025-08-31 14:33:49+08:00,2025-08-31 14:39:00+08:00,4439.81,4444.22,900.0,-3968.999999999869,short,f25e9b2a-1bb7-4bc5-852e-5c953f222f61,2d0c6c6c-070a-498b-ade7-0235a6d3e644, -2025-08-31 14:40:14+08:00,2025-08-31 14:47:51+08:00,4444.0,4439.28,,-1939.9200000001047,long,46e5c712-8dff-423d-805d-d09da5e43571,9a2c96f9-3c09-4cca-8539-7251e96e99df,411.0 -2025-08-31 14:40:14+08:00,2025-08-31 14:47:51+08:00,4444.0,4439.13,,-1947.9999999999563,long,46e5c712-8dff-423d-805d-d09da5e43571,f92ff1ec-cfa2-4576-bcbb-978910e5200c,400.0 -2025-08-31 14:40:14+08:00,2025-08-31 14:47:51+08:00,4444.0,4439.13,,-433.4299999999903,long,46e5c712-8dff-423d-805d-d09da5e43571,5f572e4d-e1a7-45cf-bc1b-b55ce56f12b4,89.0 -2025-08-31 14:51:09+08:00,2025-08-31 14:57:17+08:00,4436.57,4435.16,450.0,634.4999999999345,short,3d5b8a22-edc9-4076-8d61-23f8ed561202,9c959838-3125-426e-abaf-d09fc309fda2, -2025-08-31 15:30:46+08:00,2025-08-31 15:33:17+08:00,4450.96,4446.74,,-1894.7800000001143,long,45ada65c-b8e3-4316-9414-5faf1dcad582,57564f53-121e-47ac-8804-e448bb39c82c,449.0 -2025-08-31 16:05:31+08:00,2025-08-31 16:08:48+08:00,4461.21,4457.34,,-1733.759999999951,long,050937e7-f1e4-459e-982a-8d5263e718cb,ad5c9d31-f050-4981-9f51-7852dbf0df37,448.0 -2025-08-31 16:20:45+08:00,2025-08-31 16:24:22+08:00,4463.0,4462.93,,-3.35999999998603,long,e41030f3-095f-4e36-b465-e7f7d20b2972,83b7259d-91f7-485a-92ee-37c94790c7f4,48.0 -2025-08-31 16:20:45+08:00,2025-08-31 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zamfA1RVU+~&;R$we|rVo5$X0rCga{$*xqrU)RA$23Y&39Nd~*+NcVNn?U4NL=K}t} z@h$3cI(ElQ=2-Vt*nJ)6zVPe*_s9RN3LNPst2=`f9G`O=cDe2IKMNMgS!P<%v9-_; z{n&8mpYY%R^IwM!xdYS2!2yaN|F56jFNs`}zp(%5pMOQ|*5Gm>oQV=YhkpD2UH^af zbNK&H!d$`jcmIF+bJ!2z=idtA9B^c2W6eyaXW4(_6n)Uu?kGD0xeZ4@u)BBnn)2g; zdaVmB7?v+ns^p3tcy%(+eWB*)zu0}bA6;v>f8ktprTc>K4)=Am`)cjJaBk}8zHp9P z>UKKLQ%AU8jGH!Wr$XkUOqEPU_j4vw!+mAuZti_)>76<7-(8!{ta^T#ojLGpF*$C@ z+>oiCDVAy7w;DEWKmId6#>=_wjcpUlo?2+c80Rm2V6nTVWpW?ZhTjj|I3DqPI@f)< zA6@Z##W@$hN1SJCxUa*159r5_@G~}m^EZCr|Ht<5dv`y&KJNa7|G%gE!nyukpL1vG zWZGw%XCBJ5&9uz4bHBd6{de0;vrLCf=gd{E?QZugI=KF3uD6Z*?{@D04L>e+TaC|n zq5c2%GxiOZZ~a?8{;T8vTjPf9{7)Vq#{`bOt1`7S4c*T;HZVu7amPVDcf5CS`@4lZ zBAUB>U(5a6CUc+54c)QQ!TqZLcuZohlyF}cxH(lhQ_0P(3+x~F$LE;~U0X$W3wpWR zlKaENOnIAob=@(3v1>!F 开盘价）""" - return float(candle['close']) > float(candle['open']) - - -def is_bearish(candle): - """判断是否是阴线（收盘价 < 开盘价）""" - return float(candle['close']) < float(candle['open']) - - -def check_signal(prev, curr): - """ - 判断是否出现反包形态： - 1. 前一根阴线，后一根阳线，并且阳线包住前一根阴线 -> 做多信号 - 2. 前一根阳线，后一根阴线，并且阴线包住前一根阳线 -> 做空信号 - """ - p_open, p_close = float(prev['open']), float(prev['close']) - c_open, c_close = float(curr['open']), float(curr['close']) - - # 情况1：前阴后阳，且阳线包住前阴 - if is_bullish(curr) and is_bearish(prev): - if c_open < p_close and c_close > p_open: - return "long" - - # 情况2：前阳后阴，且阴线包住前阳 - if is_bearish(curr) and is_bullish(prev): - if c_open > p_close and c_close < p_open: - return "short" - - return None - - -def simulate_trade(direction, entry_price, future_candles, capital=10000, take_profit_ratio=5, - stop_loss_ratio=-2): - """ - 模拟交易（逐根K线回测） - 使用资金金额来控制止盈止损： - - 盈利达到 capital * take_profit_ratio 就止盈 - - 亏损达到 capital * stop_loss_ratio 就止损 - """ - - for candle in future_candles: - high, low, close = float(candle['high']), float(candle['low']), float(candle['close']) - - if direction == "long": - if high - entry_price >= take_profit_ratio: - return high, take_profit_ratio, candle['id'] # 止盈 - if low - entry_price <= stop_loss_ratio: - return low, stop_loss_ratio, candle['id'] # 止损 - - elif direction == "short": - if entry_price - low >= take_profit_ratio: - return high, take_profit_ratio, candle['id'] # 止盈 - if entry_price - low <= stop_loss_ratio: - return low, stop_loss_ratio, candle['id'] # 止损 - - # 如果未来都没触发，最后一根收盘平仓 - final_price = float(future_candles[-1]['close']) - if direction == "long": - diff_money = (final_price - entry_price) / entry_price * capital - else: - diff_money = (entry_price - final_price) / entry_price * capital - - return final_price, diff_money, future_candles[-1]['id'] - - -# ================= 主程序 ================= -if __name__ == '__main__': - if __name__ == '__main__': - zh_project = 0 # 累计盈亏 - all_trades = [] # 保存所有交易明细 - - # 遍历 9月1日 ~ 9月27日 - for i in range(1, 30): - sorted_data = fetch_kline(i) # 获取数据 - - signals = wins = 0 - lig_price = low_price = 0 # 分别记录多/空的净收益 - - # 遍历每根K线，寻找信号 - for idx in range(1, len(sorted_data) - 2): # 留出未来K线 - prev, curr = sorted_data[idx - 1], sorted_data[idx] # 前一笔，当前一笔 - entry_candle = sorted_data[idx + 1] # 下一根开盘价作为入场价 - future_candles = sorted_data[idx + 2:] # 未来行情 - - entry_open = float(entry_candle['open']) # 开仓价格 - direction = check_signal(prev, curr) # 判断开仓方向 - - if direction: - signals += 1 # 总共信号数 - exit_price, diff, exit_time = simulate_trade(direction, entry_open, future_candles) - - # 统计多单/空单盈亏情况 - if direction == "long": - lig_price += diff - if diff > 0: wins += 1 - else: - low_price += diff - if diff > 0: wins += 1 - - # 保存交易详情 - all_trades.append((f"{i}号", entry_candle["id"], "做多" if direction == "long" else "做空", - entry_open, exit_price, diff, exit_time)) - - # 输出每日统计结果 - if signals > 0: - logger.info( - f"日期：{i}号，信号数={signals}, 胜率={wins / signals * 100:.2f}%，" - f"上涨方向={lig_price:.2f}，下跌方向={low_price:.2f}，综合={lig_price + low_price:.2f}" - ) - else: - logger.info(f"日期：{i}号，没有信号") - - # 累计盈亏 - zh_project += (lig_price + low_price) - - logger.success(f"综合价格：{zh_project:.2f}") - - # ===== 输出每笔交易详情 ===== - logger.info("===== 每笔交易详情 =====") - n = n1 = 0 # n = 总盈利，n1 = 总手续费 - for date, time_str, direction, entry, exit, diff, end_time in all_trades: - logger.info( - f"{date} {time_str} {direction} 入场={entry:.2f} 出场={exit:.2f} 出场时间={end_time} " - f"差价={diff:.2f} 盈利={diff / entry * 10000:.2f} " - f"开仓手续费=5u 平仓手续费={10000 / entry * exit * 0.0005:.2f}" - ) - n1 += 5 + (10000 / entry * exit * 0.0005) - n += (diff / entry) * 10000 - - print(f'一共笔数：{len(all_trades)}') - print(f"一共盈利：{n:.2f}") - print(f'一共手续费：{n1:.2f}') diff --git a/回测数据/推测策略，回测.py b/回测数据/推测策略，回测.py deleted file mode 100644 index 238fc39..0000000 --- a/回测数据/推测策略，回测.py +++ /dev/null @@ -1,214 +0,0 @@ -import datetime -import requests -from loguru import logger - -# 请求头，用于伪装成浏览器访问接口 -headers = { - 'accept': 'application/json, text/plain, */*', - 'accept-language': 'zh,zh-CN;q=0.9,zh-HK;q=0.8,en;q=0.7', - 'cache-control': 'no-cache', - 'origin': 'https://www.websea.com', - 'pragma': 'no-cache', - 'priority': 'u=1, i', - 'referer': 'https://www.websea.com/', - 'sec-ch-ua': '"Chromium";v="140", "Not=A?Brand";v="24", "Google Chrome";v="140"', - 'sec-ch-ua-mobile': '?0', - 'sec-ch-ua-platform': '"Windows"', - 'sec-fetch-dest': 'empty', - 'sec-fetch-mode': 'cors', - 'sec-fetch-site': 'same-site', - 'user-agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/140.0.0.0 Safari/537.36', -} - - -def fetch_kline(day: int, year: int = 2025, month: int = 9, period=1): - """获取某一天的分钟级 K线数据""" - # 构造该日的起止时间戳 - time_ser = datetime.datetime(year, month, day) # 修正为2024年9月 - start_of_day = time_ser.replace(hour=0, minute=0, second=0, microsecond=0) - end_of_day = time_ser.replace(hour=23, minute=59, second=59, microsecond=0) - params = { - 'symbol': 'ETH-USDT', # 交易对 - 'period': f'{period}min', # 分钟级K线 - 'start': int(start_of_day.timestamp()), # 开始时间 - 'end': int(end_of_day.timestamp()), # 结束时间 - } - # 请求 API 获取数据 - response = requests.get('https://capi.websea.com/webApi/market/getKline', params=params, headers=headers) - data = response.json()['result']['data'] - # 按 id 排序（保证时间顺序） - return sorted(data, key=lambda x: x['id']) - - -# ================= 辅助函数 ================= - -def is_bullish(candle): - """判断是否是阳线（开盘价 < 收盘价，即涨）""" - return float(candle['open']) < float(candle['close']) - - -def is_bearish(candle): - """判断是否是阴线（开盘价 > 收盘价，即跌）""" - return float(candle['open']) > float(candle['close']) - - -def check_signal(prev, curr): - """ - 判断是否出现包住形态，返回信号类型和方向： - 1. 前跌后涨包住 -> 做多信号 (bear_bull_engulf) - 2. 前涨后跌包住 -> 做空信号 (bull_bear_engulf) - 3. 前涨后涨包住 -> 做多信号 (bull_bull_engulf) - 4. 前跌后跌包住 -> 做空信号 (bear_bear_engulf) - """ - p_open, p_close = float(prev['open']), float(prev['close']) # 前一笔 - c_open, c_close = float(curr['open']), float(curr['close']) # 当前一笔 - - # 情况1：前跌后涨，且涨线包住前跌线 -> 做多信号 - if is_bullish(curr) and is_bearish(prev): - if c_open < p_close and c_close > p_open: - return "long", "bear_bull_engulf" - - # 情况2：前涨后跌，且跌线包住前涨线 -> 做空信号 - if is_bearish(curr) and is_bullish(prev): - if c_open > p_close and c_close < p_open: - return "short", "bull_bear_engulf" - - # # 情况3：前涨后涨，且后涨线包住前涨线 -> 做多信号 - # if is_bullish(curr) and is_bullish(prev): - # if c_open < p_open and c_close > p_close: - # return "long", "bull_bull_engulf" - - # # 情况4：前跌后跌，且后跌线包住前跌线 -> 做空信号 - # if is_bearish(curr) and is_bearish(prev): - # if c_open > p_open and c_close < p_close: - # return "short", "bear_bear_engulf" - - return None, None - - -def simulate_trade(direction, entry_price, future_candles, take_profit_diff=30, stop_loss_diff=-10): - """ - 模拟交易（逐根K线回测） - 使用价差来控制止盈止损： - - 盈利达到 take_profit_diff 就止盈 - - 亏损达到 stop_loss_diff 就止损 - - direction：信号类型 - entry_price：开盘价格 - future_candles：未来的行情数据 - - """ - - for candle in future_candles: - high, low, close = float(candle['high']), float(candle['low']), float(candle['close']) - - if direction == "long": - # 做多：检查最高价是否达到止盈，最低价是否触及止损 - if high >= entry_price + take_profit_diff: - return entry_price + take_profit_diff, take_profit_diff, candle['id'] # 止盈 - if low <= entry_price + stop_loss_diff: - return entry_price + stop_loss_diff, stop_loss_diff, candle['id'] # 止损 - - elif direction == "short": - # 做空：检查最低价是否达到止盈，最高价是否触及止损 - if low <= entry_price - take_profit_diff: - return entry_price - take_profit_diff, take_profit_diff, candle['id'] # 止盈 - if high >= entry_price - stop_loss_diff: - return entry_price - stop_loss_diff, stop_loss_diff, candle['id'] # 止损 - - # 如果未来都没触发，最后一根收盘平仓 - final_price = float(future_candles[-1]['close']) - if direction == "long": - diff_money = final_price - entry_price - else: - diff_money = entry_price - final_price - - return final_price, diff_money, future_candles[-1]['id'] - - -# ================= 主程序 ================= -if __name__ == '__main__': - zh_project = 0 # 累计盈亏 - all_trades = [] # 保存所有交易明细 - - # 四种信号类型的统计 - signal_stats = { - "bear_bull_engulf": {"count": 0, "wins": 0, "total_profit": 0, "name": "涨包跌"}, - "bull_bear_engulf": {"count": 0, "wins": 0, "total_profit": 0, "name": "跌包涨"}, - # "bull_bull_engulf": {"count": 0, "wins": 0, "total_profit": 0, "name": "涨包涨"}, - # "bear_bear_engulf": {"count": 0, "wins": 0, "total_profit": 0, "name": "跌包跌"} - } - - datas = [] - # 遍历 9月1日 ~ 9月27日 - for i in range(1, 31): - logger.info(i) - sorted_data = fetch_kline(year=2025, month=9, day=i, period=15) # 获取数据 - - datas.extend(sorted_data) - - datas = sorted(datas, key=lambda x: x["id"]) - print(datas) - daily_signals = 0 # 信号总数 - daily_wins = 0 - daily_profit = 0 # 价差总和 - - # 遍历每根K线，寻找信号 - for idx in range(1, len(datas) - 2): # 留出未来K线 - prev, curr = datas[idx - 1], datas[idx] # 前一笔，当前一笔 - entry_candle = datas[idx + 1] # 下一根开盘价作为入场价 - future_candles = datas[idx + 2:] # 未来行情 - - entry_open = float(entry_candle['open']) # 开仓价格 - direction, signal_type = check_signal(prev, curr) # 判断开仓方向和信号类型 - - if direction and signal_type: - daily_signals += 1 - - exit_price, diff, exit_time = simulate_trade(direction, entry_open, future_candles, take_profit_diff=30, - stop_loss_diff=-2) - - # 统计该信号类型的表现 - signal_stats[signal_type]["count"] += 1 - signal_stats[signal_type]["total_profit"] += diff - if diff > 0: - signal_stats[signal_type]["wins"] += 1 - daily_wins += 1 - - daily_profit += diff - - # 将时间戳转换为本地时间 - local_time = datetime.datetime.fromtimestamp(entry_candle['id']) - formatted_time = local_time.strftime("%Y-%m-%d %H:%M:%S") - - # 保存交易详情 - all_trades.append( - ( - f"{formatted_time}号", - "做多" if direction == "long" else "做空", - signal_stats[signal_type]["name"], - entry_open, - exit_price, - diff, - exit_time - ) - ) - - # ===== 输出每笔交易详情 ===== - logger.info("===== 每笔交易详情 =====") - n = n1 = 0 # n = 总盈利，n1 = 总手续费 - for date, direction, signal_name, entry, exit, diff, end_time in all_trades: - profit_amount = diff / entry * 10000 # 计算盈利金额 - close_fee = 10000 / entry * exit * 0.0005 # 平仓手续费 - - logger.info( - f"{date} {direction}({signal_name}) 入场={entry:.2f} 出场={exit:.2f} 出场时间={end_time} " - f"差价={diff:.2f} 盈利={profit_amount:.2f} " - f"开仓手续费=5u 平仓手续费={close_fee:.2f}" - ) - n1 += 5 + close_fee - n += profit_amount - - print(f'一共笔数：{len(all_trades)}') - print(f"一共盈利：{n:.2f}") - print(f'一共手续费：{n1:.2f}')