diff --git a/bb_trade.py b/bb_trade.py index da4bb0f..8ddf9a1 100644 --- a/bb_trade.py +++ b/bb_trade.py @@ -1,6 +1,6 @@ """ 布林带均值回归策略 — 实盘交易 (D方案: 递增加仓) -BB(10, 2.5) | 5分钟K线 | ETH | 50x杠杆 | 递增加仓+1%/次 max=3 +BB(10, 2.5) | 5分钟K线 | ETH | 50x杠杆 逐仓 | 递增加仓+1%/次 max=3 逻辑: - 价格触及上布林带 → 平多(如有) + 开空; 已持空则加仓 @@ -43,7 +43,7 @@ class BBTradeConfig: # 仓位管理 LEVERAGE = 50 # 杠杆倍数 - OPEN_TYPE = "cross" # 全仓模式 + OPEN_TYPE = "isolated" # 逐仓模式 MARGIN_PCT = 0.01 # 首次开仓用权益的1%作为保证金 # 递增加仓 (D方案) @@ -207,7 +207,7 @@ class BBTrader: return False def set_leverage(self) -> bool: - """设置杠杆和全仓模式""" + """设置杠杆和逐仓模式""" try: resp = self.api.post_submit_leverage( contract_symbol=self.cfg.CONTRACT_SYMBOL, diff --git a/models/database.db b/models/database.db index a030d20..987e452 100644 Binary files a/models/database.db and b/models/database.db differ diff --git a/strategy/bb_backtest.py b/strategy/bb_backtest.py index 90918c2..993d5d3 100644 --- a/strategy/bb_backtest.py +++ b/strategy/bb_backtest.py @@ -36,8 +36,24 @@ class BBConfig: # Risk management max_daily_loss: float = 150.0 # stop trading after this daily loss + max_daily_loss_pct: float = 0.0 # if >0, daily loss limit = equity * pct (overrides fixed) stop_loss_pct: float = 0.0 # 0 = disabled; e.g. 0.02 = 2% SL from entry + # Liquidation + liq_enabled: bool = True # enable liquidation simulation + cross_margin: bool = True # 全仓模式: 仅当 equity<=0 爆仓; False=逐仓: 按仓位保证金算强平价 + maint_margin_rate: float = 0.005 # 逐仓时用: 0.5% 维持保证金率 + + # Slippage: applied to each trade execution price + slippage_pct: float = 0.0005 # 0.05% slippage per trade + + # 成交价模式: False=理想(在触轨的极价成交), True=真实(在K线收盘价成交) + # 实盘检测到触及布林带后以市价单成交，通常接近收盘价 + fill_at_close: bool = False + + # Max single order notional (market capacity limit, USDT) + max_notional: float = 0.0 # 0 = unlimited; e.g. 500000 = 50万U max per order + # Dynamic sizing: if > 0, margin = equity * margin_pct (overrides margin_per_trade) margin_pct: float = 0.0 # e.g. 0.01 = 1% of equity per trade @@ -124,6 +140,7 @@ def run_bb_backtest(df: pd.DataFrame, cfg: BBConfig) -> BBResult: day_pnl = 0.0 day_stopped = False current_day = None + day_start_equity = cfg.initial_capital # equity at start of each day # Delayed rebate tracking pending_rebate = 0.0 # fees from previous day to be rebated @@ -151,6 +168,12 @@ def run_bb_backtest(df: pd.DataFrame, cfg: BBConfig) -> BBResult: if position == 0: return + # Apply slippage: closing long sells lower, closing short buys higher + if position == 1: + exit_price = exit_price * (1 - cfg.slippage_pct) + else: + exit_price = exit_price * (1 + cfg.slippage_pct) + if position == 1: gross = entry_qty * (exit_price - entry_price) else: @@ -193,6 +216,12 @@ def run_bb_backtest(df: pd.DataFrame, cfg: BBConfig) -> BBResult: nonlocal balance, total_fee, day_pnl, today_fees nonlocal pyramid_count, last_add_margin + # Apply slippage: buy higher, sell lower + if side == "long" or (is_add and position == 1): + price = price * (1 + cfg.slippage_pct) + else: + price = price * (1 - cfg.slippage_pct) + if is_add and cfg.pyramid_step > 0: # 递增加仓: margin = equity * (margin_pct + step * (count+1)) equity = balance + unrealised(price) @@ -210,6 +239,12 @@ def run_bb_backtest(df: pd.DataFrame, cfg: BBConfig) -> BBResult: if margin <= 0: return notional = margin * cfg.leverage + + # Cap notional to market capacity limit + if cfg.max_notional > 0 and notional > cfg.max_notional: + notional = cfg.max_notional + margin = notional / cfg.leverage + qty = notional / price fee = notional * cfg.fee_rate @@ -245,9 +280,10 @@ def run_bb_backtest(df: pd.DataFrame, cfg: BBConfig) -> BBResult: if bar_day is not None and bar_day != current_day: # New day: move today's fees to pending, reset if cfg.rebate_pct > 0: - pending_rebate = today_fees * cfg.rebate_pct + pending_rebate += today_fees * cfg.rebate_pct today_fees = 0.0 rebate_applied_today = False + day_start_equity = balance + unrealised(arr_close[i]) day_pnl = 0.0 day_stopped = False current_day = bar_day @@ -266,7 +302,7 @@ def run_bb_backtest(df: pd.DataFrame, cfg: BBConfig) -> BBResult: out_position[i] = position continue - # Daily loss check + # Daily loss check (percentage-based if configured, else fixed) if day_stopped: out_equity[i] = balance + unrealised(arr_close[i]) out_balance[i] = balance @@ -274,7 +310,12 @@ def run_bb_backtest(df: pd.DataFrame, cfg: BBConfig) -> BBResult: continue cur_equity = balance + unrealised(arr_close[i]) - if day_pnl + unrealised(arr_close[i]) <= -cfg.max_daily_loss: + if cfg.max_daily_loss_pct > 0: + # percentage-based: use start-of-day equity + daily_loss_limit = day_start_equity * cfg.max_daily_loss_pct + else: + daily_loss_limit = cfg.max_daily_loss + if day_pnl + unrealised(arr_close[i]) <= -daily_loss_limit: close_position(arr_close[i], i) day_stopped = True out_equity[i] = balance @@ -291,39 +332,124 @@ def run_bb_backtest(df: pd.DataFrame, cfg: BBConfig) -> BBResult: sl_price = entry_price * (1 + cfg.stop_loss_pct) close_position(sl_price, i) + # Liquidation check + # 全仓(cross_margin): 仅当 账户权益<=0 时爆仓，整仓担保 + # 逐仓: 按仓位保证金算强平价 + if position != 0 and cfg.liq_enabled and entry_margin > 0: + cur_equity = balance + unrealised(arr_close[i]) + upnl = unrealised(arr_close[i]) + if cfg.cross_margin: + # 全仓: 只有权益归零才爆仓 + if cur_equity <= 0: + balance += upnl # 实现亏损 + balance = max(0.0, balance) + day_pnl += upnl + trades.append(BBTrade( + side="long" if position == 1 else "short", + entry_price=entry_price, exit_price=arr_close[i], + entry_time=entry_time, exit_time=ts_index[i], + margin=entry_margin, leverage=cfg.leverage, qty=entry_qty, + gross_pnl=upnl, fee=0.0, net_pnl=upnl, + )) + position = 0 + entry_price = 0.0 + entry_time = None + entry_margin = 0.0 + entry_qty = 0.0 + pyramid_count = 0 + last_add_margin = 0.0 + out_equity[i] = balance + out_balance[i] = balance + out_position[i] = 0 + if balance <= 0: + out_equity[i:] = 0.0 + out_balance[i:] = 0.0 + break + else: + # 逐仓: 按强平价 + liq_threshold = 1.0 / cfg.leverage * (1 - cfg.maint_margin_rate) + if position == 1: + liq_price = entry_price * (1 - liq_threshold) + if arr_low[i] <= liq_price: + balance -= entry_margin + day_pnl -= entry_margin + trades.append(BBTrade( + side="long", entry_price=entry_price, exit_price=liq_price, + entry_time=entry_time, exit_time=ts_index[i], + margin=entry_margin, leverage=cfg.leverage, qty=entry_qty, + gross_pnl=-entry_margin, fee=0.0, net_pnl=-entry_margin, + )) + position = 0 + entry_price = 0.0 + entry_time = None + entry_margin = 0.0 + entry_qty = 0.0 + pyramid_count = 0 + last_add_margin = 0.0 + if balance <= 0: + balance = 0.0 + out_equity[i] = 0.0 + out_balance[i] = 0.0 + out_position[i] = 0 + out_equity[i:] = 0.0 + out_balance[i:] = 0.0 + break + elif position == -1: + liq_price = entry_price * (1 + liq_threshold) + if arr_high[i] >= liq_price: + balance -= entry_margin + day_pnl -= entry_margin + trades.append(BBTrade( + side="short", entry_price=entry_price, exit_price=liq_price, + entry_time=entry_time, exit_time=ts_index[i], + margin=entry_margin, leverage=cfg.leverage, qty=entry_qty, + gross_pnl=-entry_margin, fee=0.0, net_pnl=-entry_margin, + )) + position = 0 + entry_price = 0.0 + entry_time = None + entry_margin = 0.0 + entry_qty = 0.0 + pyramid_count = 0 + last_add_margin = 0.0 + if balance <= 0: + balance = 0.0 + out_equity[i:] = 0.0 + out_balance[i:] = 0.0 + break + # Signal detection: use high/low to check if price touched BB touched_upper = arr_high[i] >= arr_upper[i] touched_lower = arr_low[i] <= arr_lower[i] + # 成交价: fill_at_close=True 时用收盘价(模拟实盘市价单)，否则用触轨价(理想化) + fill_price = arr_close[i] if cfg.fill_at_close else None + if touched_upper and touched_lower: # Both touched in same bar (wide bar) — skip, too volatile pass elif touched_upper: # Price touched upper BB → go short + exec_price = fill_price if fill_price is not None else arr_upper[i] if position == 1: - # Close long at upper BB price - close_position(arr_upper[i], i) + close_position(exec_price, i) if position == 0: - # Open short - open_position("short", arr_upper[i], i) + open_position("short", exec_price, i) elif position == -1 and cfg.pyramid_enabled: - # Already short → add to short (pyramid) can_add = cfg.pyramid_max <= 0 or pyramid_count < cfg.pyramid_max if can_add: - open_position("short", arr_upper[i], i, is_add=True) + open_position("short", exec_price, i, is_add=True) elif touched_lower: # Price touched lower BB → go long + exec_price = fill_price if fill_price is not None else arr_lower[i] if position == -1: - # Close short at lower BB price - close_position(arr_lower[i], i) + close_position(exec_price, i) if position == 0: - # Open long - open_position("long", arr_lower[i], i) + open_position("long", exec_price, i) elif position == 1 and cfg.pyramid_enabled: - # Already long → add to long (pyramid) can_add = cfg.pyramid_max <= 0 or pyramid_count < cfg.pyramid_max if can_add: - open_position("long", arr_lower[i], i, is_add=True) + open_position("long", exec_price, i, is_add=True) # Record equity out_equity[i] = balance + unrealised(arr_close[i]) diff --git a/strategy/data_loader.py b/strategy/data_loader.py index 79f4a30..7ed5d9b 100644 --- a/strategy/data_loader.py +++ b/strategy/data_loader.py @@ -18,20 +18,25 @@ PERIOD_MAP = { } -def load_klines(period: str, start_date: str, end_date: str) -> pd.DataFrame: +def load_klines(period: str, start_date: str, end_date: str, tz: str | None = None) -> pd.DataFrame: """ 加载指定周期、指定日期范围的K线数据 :param period: '1m','3m','5m','15m','30m','1h' :param start_date: 'YYYY-MM-DD' :param end_date: 'YYYY-MM-DD' (不包含该日) + :param tz: 日期解释的时区，如 'Asia/Shanghai' 表示按北京时间；None 则用本地时区 :return: DataFrame with columns: datetime, open, high, low, close """ table = PERIOD_MAP.get(period) if not table: raise ValueError(f"不支持的周期: {period}, 可选: {list(PERIOD_MAP.keys())}") - start_ts = int(pd.Timestamp(start_date).timestamp() * 1000) - end_ts = int(pd.Timestamp(end_date).timestamp() * 1000) + if tz: + start_ts = int(pd.Timestamp(start_date, tz=tz).timestamp() * 1000) + end_ts = int(pd.Timestamp(end_date, tz=tz).timestamp() * 1000) + else: + start_ts = int(pd.Timestamp(start_date).timestamp() * 1000) + end_ts = int(pd.Timestamp(end_date).timestamp() * 1000) db = SqliteDatabase(str(DB_PATH)) db.connect() diff --git a/strategy/results/bb_15m_200u_2020_2025.png b/strategy/results/bb_15m_200u_2020_2025.png new file mode 100644 index 0000000..d23e3fb Binary files /dev/null and b/strategy/results/bb_15m_200u_2020_2025.png differ diff --git a/strategy/results/bb_15m_2020_2025_conservative_daily.csv b/strategy/results/bb_15m_2020_2025_conservative_daily.csv new file mode 100644 index 0000000..0eea0ac --- /dev/null +++ b/strategy/results/bb_15m_2020_2025_conservative_daily.csv @@ -0,0 +1,2193 @@ +datetime,equity,pnl +2020-01-01,196.0201310838391,0.0 +2020-01-02,176.02692296439596,-19.993208119443125 +2020-01-03,181.58482417212815,5.557901207732186 +2020-01-04,186.0090490162708,4.424224844142657 +2020-01-05,165.11239592419253,-20.89665309207828 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19:35:00,2026-02-01 20:20:00,2404.44,2387.44,1.95,50,0.0405,0.69,0.05,0.64 +11,做多,2026-02-01 20:20:00,2026-02-01 21:00:00,2387.44,2402.27,1.95,50,0.0409,0.61,0.05,0.56 +12,做空,2026-02-01 21:00:00,2026-02-01 21:40:00,2402.27,2392.0,1.96,50,0.0408,0.42,0.05,0.37 +13,做多,2026-02-01 21:40:00,2026-02-02 00:25:00,2392.0,2318.96,1.96,50,0.041,-3.0,0.05,-3.04 +14,做空,2026-02-02 00:25:00,2026-02-02 03:45:00,2318.96,2313.79,1.93,50,0.0416,0.22,0.05,0.17 +15,做多,2026-02-02 03:45:00,2026-02-02 04:35:00,2313.79,2342.69,1.93,50,0.0418,1.21,0.05,1.16 +16,做空,2026-02-02 04:35:00,2026-02-02 05:55:00,2342.69,2289.17,1.94,50,0.0415,2.22,0.05,2.17 +17,做多,2026-02-02 05:55:00,2026-02-02 06:10:00,2289.17,2323.39,1.96,50,0.0429,1.47,0.05,1.42 +18,做空,2026-02-02 06:10:00,2026-02-02 07:05:00,2323.39,2235.28,1.98,50,0.0426,3.75,0.05,3.7 +19,做多,2026-02-02 07:05:00,2026-02-02 08:15:00,2235.28,2307.06,2.01,50,0.0451,3.23,0.05,3.18 +20,做空,2026-02-02 08:15:00,2026-02-02 09:00:00,2307.06,2302.75,2.06,50,0.0446,0.19,0.05,0.14 +21,做多,2026-02-02 09:00:00,2026-02-02 14:15:00,2302.75,2211.45,2.06,50,0.0447,-4.08,0.05,-4.13 +22,做空,2026-02-02 14:15:00,2026-02-02 14:35:00,2211.45,2166.31,2.02,50,0.0456,2.06,0.05,2.01 +23,做多,2026-02-02 14:35:00,2026-02-02 14:40:00,2166.31,2219.94,2.04,50,0.047,2.52,0.05,2.47 +24,做空,2026-02-02 14:40:00,2026-02-02 17:15:00,2219.94,2250.82,2.06,50,0.0464,-1.43,0.05,-1.49 +25,做多,2026-02-02 17:15:00,2026-02-02 17:25:00,2250.82,2277.79,2.05,50,0.0455,1.23,0.05,1.17 +26,做空,2026-02-02 17:25:00,2026-02-02 22:10:00,2277.79,2305.44,2.06,50,0.0452,-1.25,0.05,-1.3 +27,做多,2026-02-02 22:10:00,2026-02-02 22:35:00,2305.44,2350.92,2.04,50,0.0443,2.02,0.05,1.96 +28,做空,2026-02-02 22:35:00,2026-02-03 00:50:00,2350.92,2357.15,2.06,50,0.0439,-0.27,0.05,-0.33 +29,做多,2026-02-03 00:50:00,2026-02-03 09:00:00,2357.15,2349.37,2.06,50,0.0437,-0.34,0.05,-0.39 +30,做空,2026-02-03 09:00:00,2026-02-03 10:10:00,2349.37,2327.51,2.06,50,0.0439,0.96,0.05,0.91 +31,做多,2026-02-03 10:10:00,2026-02-03 15:10:00,2327.51,2322.01,2.07,50,0.0445,-0.24,0.05,-0.3 +32,做空,2026-02-03 15:10:00,2026-02-03 16:10:00,2322.01,2311.05,2.07,50,0.0446,0.49,0.05,0.44 +33,做多,2026-02-03 16:10:00,2026-02-03 20:10:00,2311.05,2290.92,2.07,50,0.0449,-0.9,0.05,-0.95 +34,做空,2026-02-03 20:10:00,2026-02-03 22:15:00,2290.92,2299.99,2.06,50,0.045,-0.41,0.05,-0.46 +35,做多,2026-02-03 22:15:00,2026-02-03 23:25:00,2299.99,2292.96,2.06,50,0.0447,-0.31,0.05,-0.37 +36,做空,2026-02-03 23:25:00,2026-02-04 00:15:00,2292.96,2265.27,2.05,50,0.0448,1.24,0.05,1.19 +37,做多,2026-02-04 00:15:00,2026-02-04 03:10:00,2265.27,2178.1,2.07,50,0.0456,-3.97,0.05,-4.02 +38,做空,2026-02-04 03:10:00,2026-02-04 06:05:00,2178.1,2259.5,2.02,50,0.0465,-3.78,0.05,-3.84 +39,做多,2026-02-04 06:05:00,2026-02-04 09:00:00,2259.5,2264.51,1.99,50,0.0439,0.22,0.05,0.17 +40,做空,2026-02-04 09:00:00,2026-02-04 10:30:00,2264.51,2254.5,2.0,50,0.0441,0.44,0.05,0.39 +41,做多,2026-02-04 10:30:00,2026-02-04 11:10:00,2254.5,2275.54,2.0,50,0.0443,0.93,0.05,0.88 +42,做空,2026-02-04 11:10:00,2026-02-04 12:25:00,2275.54,2274.79,2.01,50,0.0441,0.03,0.05,-0.02 +43,做多,2026-02-04 12:25:00,2026-02-04 20:20:00,2274.79,2253.17,2.01,50,0.0441,-0.95,0.05,-1.0 +44,做空,2026-02-04 20:20:00,2026-02-04 20:25:00,2253.17,2234.15,2.0,50,0.0443,0.84,0.05,0.79 +45,做多,2026-02-04 20:25:00,2026-02-05 01:00:00,2234.15,2141.81,2.0,50,0.0449,-4.14,0.05,-4.19 +46,做空,2026-02-05 01:00:00,2026-02-05 01:35:00,2141.81,2100.23,1.96,50,0.0458,1.9,0.05,1.86 +47,做多,2026-02-05 01:35:00,2026-02-05 02:25:00,2100.23,2122.35,1.98,50,0.0471,1.04,0.05,0.99 +48,做空,2026-02-05 02:25:00,2026-02-05 03:20:00,2122.35,2138.64,1.99,50,0.0469,-0.76,0.05,-0.81 +49,做多,2026-02-05 03:20:00,2026-02-05 03:45:00,2138.64,2159.36,1.98,50,0.0463,0.96,0.05,0.91 +50,做空,2026-02-05 03:45:00,2026-02-05 05:05:00,2159.36,2158.46,1.99,50,0.0461,0.04,0.05,-0.01 +51,做多,2026-02-05 05:05:00,2026-02-05 10:35:00,2158.46,2153.58,1.99,50,0.0461,-0.22,0.05,-0.27 +52,做空,2026-02-05 10:35:00,2026-02-05 11:15:00,2153.58,2113.19,2.0,50,0.0463,1.87,0.05,1.82 +53,做多,2026-02-05 11:15:00,2026-02-05 12:40:00,2113.19,2121.89,2.01,50,0.0477,0.41,0.05,0.36 +54,做空,2026-02-05 12:40:00,2026-02-05 13:20:00,2121.89,2085.5,2.02,50,0.0475,1.73,0.05,1.68 +55,做多,2026-02-05 13:20:00,2026-02-05 15:00:00,2085.5,2115.39,2.03,50,0.0488,1.46,0.05,1.41 +56,做空,2026-02-05 15:00:00,2026-02-05 15:55:00,2115.39,2089.53,2.05,50,0.0484,1.25,0.05,1.2 +57,做多,2026-02-05 15:55:00,2026-02-05 16:25:00,2089.53,2110.34,2.06,50,0.0493,1.03,0.05,0.97 +58,做空,2026-02-05 16:25:00,2026-02-05 18:55:00,2110.34,2096.48,2.07,50,0.049,0.68,0.05,0.63 +59,做多,2026-02-05 18:55:00,2026-02-05 21:05:00,2096.48,2071.86,2.07,50,0.0495,-1.22,0.05,-1.27 +60,做空,2026-02-05 21:05:00,2026-02-06 01:20:00,2071.86,1987.12,2.06,50,0.0497,4.21,0.05,4.16 +61,做多,2026-02-06 01:20:00,2026-02-06 06:25:00,1987.12,1871.41,2.1,50,0.0529,-6.12,0.05,-6.17 +62,做空,2026-02-06 06:25:00,2026-02-06 08:10:00,1871.41,1766.83,2.04,50,0.0545,5.7,0.05,5.65 +63,做多,2026-02-06 08:10:00,2026-02-06 09:35:00,1766.83,1909.28,2.11,50,0.0596,8.49,0.06,8.43 +64,做空,2026-02-06 09:35:00,2026-02-06 11:50:00,1909.28,1885.62,2.19,50,0.0573,1.36,0.05,1.3 +65,做多,2026-02-06 11:50:00,2026-02-06 13:05:00,1885.62,1911.81,2.2,50,0.0584,1.53,0.06,1.47 +66,做空,2026-02-06 13:05:00,2026-02-06 16:15:00,1911.81,1879.3,2.22,50,0.0579,1.88,0.05,1.83 +67,做多,2026-02-06 16:15:00,2026-02-06 17:10:00,1879.3,1885.97,2.23,50,0.0594,0.4,0.06,0.34 +68,做空,2026-02-06 17:10:00,2026-02-06 19:00:00,1885.97,1924.17,2.24,50,0.0593,-2.26,0.06,-2.32 +69,做多,2026-02-06 19:00:00,2026-02-06 19:15:00,1924.17,1924.74,2.21,50,0.0575,0.03,0.06,-0.02 +70,做空,2026-02-06 19:15:00,2026-02-06 20:05:00,1924.74,1922.87,2.21,50,0.0575,0.11,0.06,0.05 +71,做多,2026-02-06 20:05:00,2026-02-06 21:00:00,1922.87,1932.91,2.21,50,0.0575,0.58,0.06,0.52 +72,做空,2026-02-06 21:00:00,2026-02-06 23:15:00,1932.91,1971.8,2.22,50,0.0573,-2.23,0.06,-2.29 +73,做多,2026-02-06 23:15:00,2026-02-06 23:45:00,1971.8,1990.88,2.19,50,0.0556,1.06,0.06,1.01 +74,做空,2026-02-06 23:45:00,2026-02-07 02:05:00,1990.88,2032.15,2.2,50,0.0553,-2.28,0.06,-2.34 +75,做多,2026-02-07 02:05:00,2026-02-07 04:35:00,2032.15,2073.09,2.18,50,0.0536,2.19,0.06,2.14 +76,做空,2026-02-07 04:35:00,2026-02-07 07:15:00,2073.09,2053.48,2.2,50,0.053,1.04,0.05,0.99 +77,做多,2026-02-07 07:15:00,2026-02-07 11:00:00,2053.48,2064.11,2.21,50,0.0538,0.57,0.06,0.52 +78,做空,2026-02-07 11:00:00,2026-02-07 14:15:00,2064.11,2073.13,2.23,50,0.054,-0.49,0.06,-0.54 +79,做多,2026-02-07 14:15:00,2026-02-07 19:55:00,2073.13,2017.76,2.22,50,0.0536,-2.97,0.05,-3.02 +80,做空,2026-02-07 19:55:00,2026-02-07 21:35:00,2017.76,2027.6,2.19,50,0.0543,-0.53,0.06,-0.59 +81,做多,2026-02-07 21:35:00,2026-02-08 02:15:00,2027.6,2076.87,2.18,50,0.0539,2.65,0.06,2.6 +82,做空,2026-02-08 02:15:00,2026-02-08 06:10:00,2076.87,2099.58,2.21,50,0.0532,-1.21,0.06,-1.26 +83,做多,2026-02-08 06:10:00,2026-02-08 10:20:00,2099.58,2102.05,2.2,50,0.0523,0.13,0.05,0.07 +84,做空,2026-02-08 10:20:00,2026-02-08 12:15:00,2102.05,2074.69,2.2,50,0.0524,1.43,0.05,1.38 +85,做多,2026-02-08 12:15:00,2026-02-08 12:55:00,2074.69,2086.46,2.22,50,0.0534,0.63,0.06,0.57 +86,做空,2026-02-08 12:55:00,2026-02-08 14:05:00,2086.46,2079.62,2.22,50,0.0532,0.36,0.06,0.31 +87,做多,2026-02-08 14:05:00,2026-02-08 16:20:00,2079.62,2096.67,2.22,50,0.0535,0.91,0.06,0.86 +88,做空,2026-02-08 16:20:00,2026-02-08 17:35:00,2096.67,2103.15,2.23,50,0.0532,-0.34,0.06,-0.4 +89,做多,2026-02-08 17:35:00,2026-02-08 18:05:00,2103.15,2107.65,2.23,50,0.053,0.24,0.06,0.18 +90,做空,2026-02-08 18:05:00,2026-02-08 18:20:00,2107.65,2087.85,2.23,50,0.0529,1.05,0.06,0.99 +91,做多,2026-02-08 18:20:00,2026-02-08 19:15:00,2087.85,2110.36,2.24,50,0.0536,1.21,0.06,1.15 +92,做空,2026-02-08 19:15:00,2026-02-08 21:05:00,2110.36,2123.28,2.25,50,0.0533,-0.69,0.06,-0.75 +93,做多,2026-02-08 21:05:00,2026-02-09 02:15:00,2123.28,2094.55,2.24,50,0.0528,-1.52,0.06,-1.57 +94,做空,2026-02-09 02:15:00,2026-02-09 04:45:00,2094.55,2104.6,2.22,50,0.0531,-0.53,0.06,-0.59 +95,做多,2026-02-09 04:45:00,2026-02-09 06:55:00,2104.6,2107.44,2.22,50,0.0527,0.15,0.06,0.09 +96,做空,2026-02-09 06:55:00,2026-02-09 08:25:00,2107.44,2081.4,2.22,50,0.0526,1.37,0.05,1.32 +97,做多,2026-02-09 08:25:00,2026-02-09 09:20:00,2081.4,2098.76,2.24,50,0.0539,0.94,0.06,0.88 +98,做空,2026-02-09 09:20:00,2026-02-09 09:40:00,2098.76,2063.62,2.25,50,0.0537,1.89,0.06,1.83 +99,做多,2026-02-09 09:40:00,2026-02-09 10:35:00,2063.62,2079.96,2.27,50,0.055,0.9,0.06,0.84 +100,做空,2026-02-09 10:35:00,2026-02-09 14:15:00,2079.96,2075.79,2.28,50,0.0548,0.23,0.06,0.17 +101,做多,2026-02-09 14:15:00,2026-02-09 15:10:00,2075.79,2084.33,2.28,50,0.0549,0.47,0.06,0.41 +102,做空,2026-02-09 15:10:00,2026-02-09 15:35:00,2084.33,2067.23,2.28,50,0.0548,0.94,0.06,0.88 +103,做多,2026-02-09 15:35:00,2026-02-09 20:00:00,2067.23,2031.57,2.29,50,0.0554,-1.98,0.06,-2.03 +104,做空,2026-02-09 20:00:00,2026-02-10 02:20:00,2031.57,2115.84,2.27,50,0.0559,-4.71,0.06,-4.77 +105,做多,2026-02-10 02:20:00,2026-02-10 03:30:00,2115.84,2131.85,2.22,50,0.0525,0.84,0.06,0.78 +106,做空,2026-02-10 03:30:00,2026-02-10 04:00:00,2131.85,2130.8,2.23,50,0.0523,0.05,0.06,-0.0 +107,做多,2026-02-10 04:00:00,2026-02-10 04:05:00,2130.8,2135.34,2.23,50,0.0523,0.24,0.06,0.18 +108,做空,2026-02-10 04:05:00,2026-02-10 04:15:00,2135.34,2122.59,2.23,50,0.0522,0.67,0.06,0.61 +109,做多,2026-02-10 04:15:00,2026-02-10 16:20:00,2122.59,2011.91,2.24,50,0.0527,-5.83,0.05,-5.88 +110,做空,2026-02-10 16:20:00,2026-02-10 17:50:00,2011.91,2015.22,2.19,50,0.0544,-0.18,0.05,-0.23 +111,做多,2026-02-10 17:50:00,2026-02-10 19:30:00,2015.22,2019.66,2.19,50,0.0543,0.24,0.05,0.19 +112,做空,2026-02-10 19:30:00,2026-02-10 19:40:00,2019.66,2007.94,2.19,50,0.0542,0.63,0.05,0.58 +113,做多,2026-02-10 19:40:00,2026-02-10 21:15:00,2007.94,2012.02,2.19,50,0.0546,0.22,0.05,0.17 +114,做空,2026-02-10 21:15:00,2026-02-10 22:35:00,2012.02,2012.47,2.19,50,0.0545,-0.02,0.05,-0.08 +115,做多,2026-02-10 22:35:00,2026-02-11 00:10:00,2012.47,2032.87,2.19,50,0.0545,1.11,0.06,1.06 +116,做空,2026-02-11 00:10:00,2026-02-11 02:20:00,2032.87,2013.69,2.2,50,0.0542,1.04,0.05,0.98 +117,做多,2026-02-11 02:20:00,2026-02-11 03:30:00,2013.69,2013.39,2.21,50,0.0549,-0.02,0.06,-0.07 +118,做空,2026-02-11 03:30:00,2026-02-11 05:30:00,2013.39,2001.89,2.21,50,0.0549,0.63,0.05,0.58 +119,做多,2026-02-11 05:30:00,2026-02-11 07:35:00,2001.89,2018.01,2.22,50,0.0554,0.89,0.06,0.84 +120,做空,2026-02-11 07:35:00,2026-02-11 09:20:00,2018.01,2018.06,2.22,50,0.0551,-0.0,0.06,-0.06 +121,做多,2026-02-11 09:20:00,2026-02-11 10:20:00,2018.06,2027.05,2.23,50,0.0553,0.5,0.06,0.44 +122,做空,2026-02-11 10:20:00,2026-02-11 10:45:00,2027.05,2014.32,2.24,50,0.0552,0.7,0.06,0.65 +123,做多,2026-02-11 10:45:00,2026-02-11 15:35:00,2014.32,1951.85,2.24,50,0.0557,-3.48,0.05,-3.53 +124,做空,2026-02-11 15:35:00,2026-02-11 16:05:00,1951.85,1939.79,2.21,50,0.0566,0.68,0.05,0.63 +125,做多,2026-02-11 16:05:00,2026-02-11 17:00:00,1939.79,1949.26,2.21,50,0.057,0.54,0.06,0.48 +126,做空,2026-02-11 17:00:00,2026-02-11 17:45:00,1949.26,1944.0,2.22,50,0.0569,0.3,0.06,0.24 +127,做多,2026-02-11 17:45:00,2026-02-11 20:05:00,1944.0,1961.67,2.22,50,0.0571,1.01,0.06,0.95 +128,做空,2026-02-11 20:05:00,2026-02-11 21:25:00,1961.67,1948.28,2.23,50,0.0568,0.76,0.06,0.71 +129,做多,2026-02-11 21:25:00,2026-02-11 21:30:00,1948.28,1963.0,2.23,50,0.0574,0.84,0.06,0.79 +130,做空,2026-02-11 21:30:00,2026-02-12 03:30:00,1963.0,1943.01,2.24,50,0.0571,1.14,0.06,1.09 +131,做多,2026-02-12 03:30:00,2026-02-12 03:45:00,1943.01,1952.12,2.25,50,0.058,0.53,0.06,0.47 +132,做空,2026-02-12 03:45:00,2026-02-12 04:25:00,1952.12,1941.02,2.26,50,0.0578,0.64,0.06,0.59 +133,做多,2026-02-12 04:25:00,2026-02-12 05:20:00,1941.02,1968.22,2.26,50,0.0583,1.58,0.06,1.53 +134,做空,2026-02-12 05:20:00,2026-02-12 06:10:00,1968.22,1960.92,2.28,50,0.0578,0.42,0.06,0.37 +135,做多,2026-02-12 06:10:00,2026-02-12 08:05:00,1960.92,1951.09,2.28,50,0.0581,-0.57,0.06,-0.63 +136,做空,2026-02-12 08:05:00,2026-02-12 12:30:00,1951.09,1967.55,2.29,50,0.0586,-0.97,0.06,-1.02 +137,做多,2026-02-12 12:30:00,2026-02-12 14:10:00,1967.55,1970.2,2.28,50,0.0579,0.15,0.06,0.1 +138,做空,2026-02-12 14:10:00,2026-02-12 16:25:00,1970.2,1958.73,2.28,50,0.0578,0.66,0.06,0.61 +139,做多,2026-02-12 16:25:00,2026-02-12 17:10:00,1958.73,1968.27,2.28,50,0.0583,0.56,0.06,0.5 +140,做空,2026-02-12 17:10:00,2026-02-12 20:50:00,1968.27,1976.76,2.29,50,0.0581,-0.49,0.06,-0.55 +141,做多,2026-02-12 20:50:00,2026-02-12 21:30:00,1976.76,1985.8,2.28,50,0.0577,0.52,0.06,0.46 +142,做空,2026-02-12 21:30:00,2026-02-12 22:45:00,1985.8,1978.53,2.29,50,0.0575,0.42,0.06,0.36 +143,做多,2026-02-12 22:45:00,2026-02-13 01:35:00,1978.53,1920.11,2.29,50,0.0578,-3.38,0.06,-3.43 +144,做空,2026-02-13 01:35:00,2026-02-13 04:10:00,1920.11,1920.22,2.25,50,0.0587,-0.01,0.06,-0.06 +145,做多,2026-02-13 04:10:00,2026-02-13 06:30:00,1920.22,1927.46,2.25,50,0.0587,0.42,0.06,0.37 +146,做空,2026-02-13 06:30:00,2026-02-13 08:15:00,1927.46,1940.1,2.26,50,0.0585,-0.74,0.06,-0.8 +147,做多,2026-02-13 08:15:00,2026-02-13 09:05:00,1940.1,1941.5,2.26,50,0.0582,0.08,0.06,0.02 +148,做空,2026-02-13 09:05:00,2026-02-13 10:20:00,1941.5,1946.1,2.26,50,0.0582,-0.27,0.06,-0.32 +149,做多,2026-02-13 10:20:00,2026-02-13 10:50:00,1946.1,1947.9,2.25,50,0.0579,0.1,0.06,0.05 +150,做空,2026-02-13 10:50:00,2026-02-13 12:10:00,1947.9,1950.84,2.25,50,0.0579,-0.17,0.06,-0.23 +151,做多,2026-02-13 12:10:00,2026-02-13 12:25:00,1950.84,1949.6,2.25,50,0.0577,-0.07,0.06,-0.13 +152,做空,2026-02-13 12:25:00,2026-02-13 12:30:00,1949.6,1950.08,2.25,50,0.0577,-0.03,0.06,-0.08 +153,做多,2026-02-13 12:30:00,2026-02-13 16:20:00,1950.08,1939.99,2.25,50,0.0576,-0.58,0.06,-0.64 +154,做空,2026-02-13 16:20:00,2026-02-13 19:05:00,1939.99,1955.6,2.24,50,0.0578,-0.9,0.06,-0.96 +155,做多,2026-02-13 19:05:00,2026-02-13 20:25:00,1955.6,1961.63,2.23,50,0.057,0.34,0.06,0.29 +156,做空,2026-02-13 20:25:00,2026-02-13 21:05:00,1961.63,1957.39,2.23,50,0.0569,0.24,0.06,0.19 +157,做多,2026-02-13 21:05:00,2026-02-13 21:20:00,1957.39,1967.19,2.23,50,0.0571,0.56,0.06,0.5 +158,做空,2026-02-13 21:20:00,2026-02-14 02:00:00,1967.19,2056.73,2.24,50,0.0569,-5.1,0.06,-5.15 +159,做多,2026-02-14 02:00:00,2026-02-14 02:35:00,2056.73,2061.34,2.19,50,0.0532,0.25,0.05,0.19 +160,做空,2026-02-14 02:35:00,2026-02-14 04:15:00,2061.34,2049.81,2.19,50,0.0531,0.61,0.05,0.56 +161,做多,2026-02-14 04:15:00,2026-02-14 05:00:00,2049.81,2054.62,2.19,50,0.0535,0.26,0.05,0.2 +162,做空,2026-02-14 05:00:00,2026-02-14 07:35:00,2054.62,2047.52,2.19,50,0.0534,0.38,0.05,0.32 +163,做多,2026-02-14 07:35:00,2026-02-14 09:50:00,2047.52,2053.35,2.2,50,0.0537,0.31,0.06,0.26 +164,做空,2026-02-14 09:50:00,2026-02-14 09:55:00,2053.35,2053.37,2.22,50,0.054,-0.0,0.06,-0.06 +165,做多,2026-02-14 09:55:00,2026-02-14 11:25:00,2053.37,2050.56,2.22,50,0.0539,-0.15,0.06,-0.21 +166,做空,2026-02-14 11:25:00,2026-02-14 13:00:00,2050.56,2052.1,2.21,50,0.054,-0.08,0.06,-0.14 +167,做多,2026-02-14 13:00:00,2026-02-14 15:30:00,2052.1,2052.31,2.21,50,0.0539,0.01,0.06,-0.04 +168,做空,2026-02-14 15:30:00,2026-02-14 15:35:00,2052.31,2050.7,2.21,50,0.0538,0.09,0.06,0.03 +169,做多,2026-02-14 15:35:00,2026-02-14 15:50:00,2050.7,2057.65,2.21,50,0.0539,0.37,0.06,0.32 +170,做空,2026-02-14 15:50:00,2026-02-14 20:15:00,2057.65,2094.01,2.21,50,0.0538,-1.95,0.06,-2.01 +171,做多,2026-02-14 20:15:00,2026-02-14 22:20:00,2094.01,2069.5,2.19,50,0.0523,-1.28,0.05,-1.34 +172,做空,2026-02-14 22:20:00,2026-02-15 00:00:00,2069.5,2086.28,2.18,50,0.0526,-0.88,0.05,-0.94 +173,做多,2026-02-15 00:00:00,2026-02-15 02:20:00,2086.28,2082.08,2.17,50,0.052,-0.22,0.05,-0.27 +174,做空,2026-02-15 02:20:00,2026-02-15 03:15:00,2082.08,2084.26,2.16,50,0.052,-0.11,0.05,-0.17 +175,做多,2026-02-15 03:15:00,2026-02-15 03:30:00,2084.26,2085.58,2.16,50,0.0519,0.07,0.05,0.01 +176,做空,2026-02-15 03:30:00,2026-02-15 07:15:00,2085.58,2087.12,2.16,50,0.0518,-0.08,0.05,-0.13 +177,做多,2026-02-15 07:15:00,2026-02-15 10:05:00,2087.12,2058.92,2.16,50,0.0517,-1.46,0.05,-1.51 +178,做空,2026-02-15 10:05:00,2026-02-15 10:20:00,2058.92,2054.96,2.16,50,0.0524,0.21,0.05,0.15 +179,做多,2026-02-15 10:20:00,2026-02-15 12:05:00,2054.96,2072.91,2.16,50,0.0525,0.94,0.05,0.89 +180,做空,2026-02-15 12:05:00,2026-02-15 14:00:00,2072.91,2086.85,2.17,50,0.0523,-0.73,0.05,-0.78 +181,做多,2026-02-15 14:00:00,2026-02-15 14:35:00,2086.85,2090.16,2.16,50,0.0517,0.17,0.05,0.12 +182,做空,2026-02-15 14:35:00,2026-02-15 16:25:00,2090.16,2075.54,2.16,50,0.0517,0.76,0.05,0.7 +183,做多,2026-02-15 16:25:00,2026-02-15 20:20:00,2075.54,2062.81,2.17,50,0.0522,-0.66,0.05,-0.72 +184,做空,2026-02-15 20:20:00,2026-02-15 20:45:00,2062.81,2046.45,2.16,50,0.0523,0.86,0.05,0.8 +185,做多,2026-02-15 20:45:00,2026-02-15 22:30:00,2046.45,1999.25,2.17,50,0.0529,-2.5,0.05,-2.55 +186,做空,2026-02-15 22:30:00,2026-02-16 00:05:00,1999.25,1999.62,2.14,50,0.0535,-0.02,0.05,-0.07 +187,做多,2026-02-16 00:05:00,2026-02-16 05:30:00,1999.62,1959.09,2.14,50,0.0535,-2.17,0.05,-2.22 +188,做空,2026-02-16 05:30:00,2026-02-16 07:00:00,1959.09,1956.8,2.12,50,0.054,0.12,0.05,0.07 +189,做多,2026-02-16 07:00:00,2026-02-16 08:05:00,1956.8,1973.71,2.12,50,0.0541,0.91,0.05,0.86 +190,做空,2026-02-16 08:05:00,2026-02-16 10:20:00,1973.71,1958.9,2.14,50,0.0541,0.8,0.05,0.75 +191,做多,2026-02-16 10:20:00,2026-02-16 12:00:00,1958.9,1963.67,2.14,50,0.0547,0.26,0.05,0.21 +192,做空,2026-02-16 12:00:00,2026-02-16 19:05:00,1963.67,1973.75,2.14,50,0.0546,-0.55,0.05,-0.6 +193,做多,2026-02-16 19:05:00,2026-02-16 20:25:00,1973.75,1991.31,2.14,50,0.0542,0.95,0.05,0.9 +194,做空,2026-02-16 20:25:00,2026-02-16 21:25:00,1991.31,1976.1,2.15,50,0.0539,0.82,0.05,0.77 +195,做多,2026-02-16 21:25:00,2026-02-16 22:50:00,1976.1,1969.72,2.15,50,0.0545,-0.35,0.05,-0.4 +196,做空,2026-02-16 22:50:00,2026-02-16 23:30:00,1969.72,1940.59,2.15,50,0.0545,1.59,0.05,1.54 +197,做多,2026-02-16 23:30:00,2026-02-17 01:30:00,1940.59,1983.81,2.16,50,0.0557,2.41,0.06,2.35 +198,做空,2026-02-17 01:30:00,2026-02-17 02:35:00,1983.81,1974.99,2.19,50,0.0551,0.49,0.05,0.43 +199,做多,2026-02-17 02:35:00,2026-02-17 03:35:00,1974.99,1977.15,2.19,50,0.0555,0.12,0.05,0.06 +200,做空,2026-02-17 03:35:00,2026-02-17 06:45:00,1977.15,1991.2,2.19,50,0.0554,-0.78,0.06,-0.83 +201,做多,2026-02-17 06:45:00,2026-02-17 07:05:00,1991.2,1993.01,2.18,50,0.0548,0.1,0.05,0.04 +202,做空,2026-02-17 07:05:00,2026-02-17 10:00:00,1993.01,1986.61,2.18,50,0.0547,0.35,0.05,0.3 +203,做多,2026-02-17 10:00:00,2026-02-17 12:20:00,1986.61,1996.22,2.2,50,0.0553,0.53,0.06,0.48 +204,做空,2026-02-17 12:20:00,2026-02-17 13:15:00,1996.22,1975.63,2.2,50,0.0551,1.14,0.05,1.08 +205,做多,2026-02-17 13:15:00,2026-02-17 14:25:00,1975.63,1981.79,2.21,50,0.056,0.34,0.06,0.29 +206,做空,2026-02-17 14:25:00,2026-02-17 15:05:00,1981.79,1975.75,2.21,50,0.0558,0.34,0.06,0.28 +207,做多,2026-02-17 15:05:00,2026-02-17 18:00:00,1975.75,1974.07,2.22,50,0.0561,-0.09,0.06,-0.15 +208,做空,2026-02-17 18:00:00,2026-02-17 18:15:00,1974.07,1963.99,2.21,50,0.0561,0.57,0.06,0.51 +209,做多,2026-02-17 18:15:00,2026-02-17 19:00:00,1963.99,1966.66,2.22,50,0.0565,0.15,0.06,0.1 +210,做空,2026-02-17 19:00:00,2026-02-17 19:45:00,1966.66,1966.75,2.22,50,0.0564,-0.01,0.06,-0.06 +211,做多,2026-02-17 19:45:00,2026-02-17 20:05:00,1966.75,1973.21,2.22,50,0.0564,0.36,0.06,0.31 +212,做空,2026-02-17 20:05:00,2026-02-17 20:50:00,1973.21,1970.9,2.22,50,0.0563,0.13,0.06,0.07 +213,做多,2026-02-17 20:50:00,2026-02-17 21:10:00,1970.9,1979.05,2.22,50,0.0563,0.46,0.06,0.4 +214,做空,2026-02-17 21:10:00,2026-02-17 22:35:00,1979.05,1978.92,2.22,50,0.0562,0.01,0.06,-0.05 +215,做多,2026-02-17 22:35:00,2026-02-18 00:00:00,1978.92,1986.74,2.22,50,0.0562,0.44,0.06,0.38 +216,做空,2026-02-18 00:00:00,2026-02-18 01:10:00,1986.74,1964.67,2.23,50,0.056,1.24,0.06,1.18 +217,做多,2026-02-18 01:10:00,2026-02-18 02:20:00,1964.67,1986.33,2.24,50,0.0569,1.23,0.06,1.18 +218,做空,2026-02-18 02:20:00,2026-02-18 04:30:00,1986.33,1993.32,2.25,50,0.0566,-0.4,0.06,-0.45 +219,做多,2026-02-18 04:30:00,2026-02-18 04:40:00,1993.32,1997.94,2.24,50,0.0563,0.26,0.06,0.2 +220,做空,2026-02-18 04:40:00,2026-02-18 06:50:00,1997.94,1993.94,2.24,50,0.0562,0.22,0.06,0.17 +221,做多,2026-02-18 06:50:00,2026-02-18 11:25:00,1993.94,1993.01,2.25,50,0.0563,-0.05,0.06,-0.11 +222,做空,2026-02-18 11:25:00,2026-02-18 12:35:00,1993.01,1994.19,2.26,50,0.0568,-0.07,0.06,-0.12 +223,做多,2026-02-18 12:35:00,2026-02-18 14:20:00,1994.19,2001.76,2.26,50,0.0567,0.43,0.06,0.37 +224,做空,2026-02-18 14:20:00,2026-02-18 17:50:00,2001.76,2017.24,2.26,50,0.0566,-0.88,0.06,-0.93 +225,做多,2026-02-18 17:50:00,2026-02-18 22:30:00,2017.24,1967.63,2.25,50,0.0559,-2.77,0.05,-2.83 +226,做空,2026-02-18 22:30:00,2026-02-18 22:45:00,1967.63,1955.53,2.23,50,0.0566,0.68,0.06,0.63 +227,做多,2026-02-18 22:45:00,2026-02-18 23:05:00,1955.53,1983.75,2.23,50,0.0571,1.61,0.06,1.55 +228,做空,2026-02-18 23:05:00,2026-02-19 02:15:00,1983.75,1963.63,2.25,50,0.0566,1.14,0.06,1.08 +229,做多,2026-02-19 02:15:00,2026-02-19 04:30:00,1963.63,1947.9,2.26,50,0.0575,-0.9,0.06,-0.96 +230,做空,2026-02-19 04:30:00,2026-02-19 07:15:00,1947.9,1946.27,2.25,50,0.0577,0.09,0.06,0.04 +231,做多,2026-02-19 07:15:00,2026-02-19 07:25:00,1946.27,1947.6,2.25,50,0.0577,0.08,0.06,0.02 +232,做空,2026-02-19 07:25:00,2026-02-19 08:25:00,1947.6,1952.44,2.25,50,0.0577,-0.28,0.06,-0.34 +233,做多,2026-02-19 08:25:00,2026-02-19 09:10:00,1952.44,1969.01,2.25,50,0.0577,0.96,0.06,0.9 +234,做空,2026-02-19 09:10:00,2026-02-19 12:45:00,1969.01,1971.59,2.26,50,0.0574,-0.15,0.06,-0.2 +235,做多,2026-02-19 12:45:00,2026-02-19 14:05:00,1971.59,1971.53,2.26,50,0.0573,-0.0,0.06,-0.06 +236,做空,2026-02-19 14:05:00,2026-02-19 15:40:00,1971.53,1981.57,2.26,50,0.0573,-0.57,0.06,-0.63 +237,做多,2026-02-19 15:40:00,2026-02-19 17:20:00,1981.57,1977.7,2.25,50,0.0568,-0.22,0.06,-0.28 +238,做空,2026-02-19 17:20:00,2026-02-19 17:45:00,1977.7,1961.93,2.25,50,0.0568,0.9,0.06,0.84 +239,做多,2026-02-19 17:45:00,2026-02-19 22:50:00,1961.93,1939.99,2.26,50,0.0575,-1.26,0.06,-1.32 +240,做空,2026-02-19 22:50:00,2026-02-20 00:05:00,1939.99,1915.04,2.24,50,0.0578,1.44,0.06,1.39 +241,做多,2026-02-20 00:05:00,2026-02-20 01:15:00,1915.04,1941.03,2.26,50,0.0589,1.53,0.06,1.47 +242,做空,2026-02-20 01:15:00,2026-02-20 03:25:00,1941.03,1935.82,2.27,50,0.0585,0.3,0.06,0.25 +243,做多,2026-02-20 03:25:00,2026-02-20 04:45:00,1935.82,1947.16,2.27,50,0.0587,0.67,0.06,0.61 +244,做空,2026-02-20 04:45:00,2026-02-20 05:55:00,1947.16,1947.67,2.28,50,0.0585,-0.03,0.06,-0.09 +245,做多,2026-02-20 05:55:00,2026-02-20 07:00:00,1947.67,1943.15,2.28,50,0.0584,-0.26,0.06,-0.32 +246,做空,2026-02-20 07:00:00,2026-02-20 12:00:00,1943.15,1948.02,2.27,50,0.0585,-0.28,0.06,-0.34 +247,做多,2026-02-20 12:00:00,2026-02-20 13:30:00,1948.02,1960.28,2.28,50,0.0586,0.72,0.06,0.66 +248,做空,2026-02-20 13:30:00,2026-02-20 14:30:00,1960.28,1954.43,2.29,50,0.0584,0.34,0.06,0.28 +249,做多,2026-02-20 14:30:00,2026-02-20 15:15:00,1954.43,1959.51,2.29,50,0.0586,0.3,0.06,0.24 +250,做空,2026-02-20 15:15:00,2026-02-20 18:40:00,1959.51,1961.18,2.29,50,0.0585,-0.1,0.06,-0.16 +251,做多,2026-02-20 18:40:00,2026-02-20 20:50:00,1961.18,1946.59,2.29,50,0.0584,-0.85,0.06,-0.91 +252,做空,2026-02-20 20:50:00,2026-02-20 21:00:00,1946.59,1943.99,2.28,50,0.0586,0.15,0.06,0.1 +253,做多,2026-02-20 21:00:00,2026-02-20 22:30:00,1943.99,1944.3,2.28,50,0.0587,0.02,0.06,-0.04 +254,做空,2026-02-20 22:30:00,2026-02-21 06:10:00,1944.3,1964.49,2.28,50,0.0586,-1.18,0.06,-1.24 +255,做多,2026-02-21 06:10:00,2026-02-21 07:05:00,1964.49,1968.92,2.27,50,0.0577,0.26,0.06,0.2 +256,做空,2026-02-21 07:05:00,2026-02-21 08:45:00,1968.92,1963.92,2.27,50,0.0576,0.29,0.06,0.23 +257,做多,2026-02-21 08:45:00,2026-02-21 12:25:00,1963.92,1959.01,2.28,50,0.058,-0.29,0.06,-0.34 +258,做空,2026-02-21 12:25:00,2026-02-21 20:25:00,1959.01,1969.99,2.28,50,0.0581,-0.64,0.06,-0.7 +259,做多,2026-02-21 20:25:00,2026-02-21 22:05:00,1969.99,1981.03,2.27,50,0.0576,0.64,0.06,0.58 +260,做空,2026-02-21 22:05:00,2026-02-21 23:30:00,1981.03,1988.19,2.27,50,0.0574,-0.41,0.06,-0.47 +261,做多,2026-02-21 23:30:00,2026-02-21 23:40:00,1988.19,1989.55,2.27,50,0.057,0.08,0.06,0.02 +262,做空,2026-02-21 23:40:00,2026-02-22 00:00:00,1989.55,1979.46,2.27,50,0.057,0.58,0.06,0.52 +263,做多,2026-02-22 00:00:00,2026-02-22 01:40:00,1979.46,1988.74,2.27,50,0.0574,0.53,0.06,0.48 +264,做空,2026-02-22 01:40:00,2026-02-22 03:50:00,1988.74,1987.85,2.28,50,0.0572,0.05,0.06,-0.01 +265,做多,2026-02-22 03:50:00,2026-02-22 09:00:00,1987.85,1973.58,2.28,50,0.0573,-0.82,0.06,-0.87 +266,做空,2026-02-22 09:00:00,2026-02-22 11:15:00,1973.58,1968.26,2.28,50,0.0577,0.31,0.06,0.25 +267,做多,2026-02-22 11:15:00,2026-02-22 15:25:00,1968.26,1975.34,2.28,50,0.0579,0.41,0.06,0.35 +268,做空,2026-02-22 15:25:00,2026-02-22 16:20:00,1975.34,1973.39,2.28,50,0.0577,0.11,0.06,0.06 +269,做多,2026-02-22 16:20:00,2026-02-22 17:15:00,1973.39,1973.0,2.28,50,0.0578,-0.02,0.06,-0.08 +270,做空,2026-02-22 17:15:00,2026-02-22 20:00:00,1973.0,1976.79,2.28,50,0.0578,-0.22,0.06,-0.28 +271,做多,2026-02-22 20:00:00,2026-02-22 22:30:00,1976.79,1951.75,2.28,50,0.0576,-1.44,0.06,-1.5 +272,做空,2026-02-22 22:30:00,2026-02-23 01:30:00,1951.75,1935.57,2.26,50,0.0579,0.94,0.06,0.88 +273,做多,2026-02-23 01:30:00,2026-02-23 02:15:00,1935.57,1941.0,2.27,50,0.0586,0.32,0.06,0.26 +274,做空,2026-02-23 02:15:00,2026-02-23 02:35:00,1941.0,1940.45,2.27,50,0.0585,0.03,0.06,-0.02 +275,做多,2026-02-23 02:35:00,2026-02-23 02:50:00,1940.45,1942.01,2.27,50,0.0585,0.09,0.06,0.03 +276,做空,2026-02-23 02:50:00,2026-02-23 04:50:00,1942.01,1939.47,2.27,50,0.0584,0.15,0.06,0.09 +277,做多,2026-02-23 04:50:00,2026-02-23 05:35:00,1939.47,1949.72,2.27,50,0.0585,0.6,0.06,0.54 +278,做空,2026-02-23 05:35:00,2026-02-23 07:20:00,1949.72,1951.6,2.28,50,0.0584,-0.11,0.06,-0.17 +279,做多,2026-02-23 07:20:00,2026-02-23 07:55:00,1951.6,1957.01,2.27,50,0.0582,0.32,0.06,0.26 +280,做空,2026-02-23 07:55:00,2026-02-23 08:25:00,1957.01,1947.41,2.28,50,0.0581,0.56,0.06,0.5 +281,做多,2026-02-23 08:25:00,2026-02-23 11:05:00,1947.41,1866.1,2.29,50,0.0589,-4.79,0.05,-4.85 +282,做空,2026-02-23 11:05:00,2026-02-23 11:15:00,1866.1,1858.39,2.25,50,0.0602,0.46,0.06,0.41 +283,做多,2026-02-23 11:15:00,2026-02-23 13:15:00,1858.39,1866.46,2.25,50,0.0605,0.49,0.06,0.43 +284,做空,2026-02-23 13:15:00,2026-02-23 16:35:00,1866.46,1877.82,2.25,50,0.0604,-0.69,0.06,-0.74 +285,做多,2026-02-23 16:35:00,2026-02-23 17:10:00,1877.82,1884.54,2.25,50,0.0598,0.4,0.06,0.35 +286,做空,2026-02-23 17:10:00,2026-02-23 20:30:00,1884.54,1907.37,2.25,50,0.0596,-1.36,0.06,-1.42 +287,做多,2026-02-23 20:30:00,2026-02-23 20:35:00,1907.37,1919.57,2.23,50,0.0585,0.71,0.06,0.66 +288,做空,2026-02-23 20:35:00,2026-02-23 22:35:00,1919.57,1906.62,2.24,50,0.0583,0.76,0.06,0.7 +289,做多,2026-02-23 22:35:00,2026-02-24 10:30:00,1906.62,1849.89,2.25,50,0.0589,-3.34,0.05,-3.4 +290,做空,2026-02-24 10:30:00,2026-02-24 11:00:00,1849.89,1836.02,2.22,50,0.06,0.83,0.06,0.78 +291,做多,2026-02-24 11:00:00,2026-02-24 13:05:00,1836.02,1836.44,2.23,50,0.0607,0.03,0.06,-0.03 +292,做空,2026-02-24 13:05:00,2026-02-24 13:20:00,1836.44,1815.44,2.23,50,0.0606,1.27,0.06,1.22 +293,做多,2026-02-24 13:20:00,2026-02-24 16:30:00,1815.44,1832.52,2.24,50,0.0616,1.05,0.06,1.0 +294,做空,2026-02-24 16:30:00,2026-02-24 17:05:00,1832.52,1824.3,2.25,50,0.0613,0.5,0.06,0.45 +295,做多,2026-02-24 17:05:00,2026-02-24 20:10:00,1824.3,1826.47,2.25,50,0.0617,0.13,0.06,0.08 +296,做空,2026-02-24 20:10:00,2026-02-24 21:20:00,1826.47,1819.72,2.25,50,0.0616,0.42,0.06,0.36 +297,做多,2026-02-24 21:20:00,2026-02-24 22:35:00,1819.72,1821.38,2.25,50,0.062,0.1,0.06,0.05 +298,做空,2026-02-24 22:35:00,2026-02-25 02:10:00,1821.38,1846.04,2.25,50,0.0619,-1.53,0.06,-1.58 +299,做多,2026-02-25 02:10:00,2026-02-25 03:05:00,1846.04,1853.79,2.24,50,0.0606,0.47,0.06,0.41 +300,做空,2026-02-25 03:05:00,2026-02-25 05:00:00,1853.79,1850.16,2.24,50,0.0605,0.22,0.06,0.16 +301,做多,2026-02-25 05:00:00,2026-02-25 09:05:00,1850.16,1864.09,2.24,50,0.0606,0.84,0.06,0.79 +302,做空,2026-02-25 09:05:00,2026-02-25 12:00:00,1864.09,1900.0,2.26,50,0.0607,-2.18,0.06,-2.24 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14:05:00,2059.76,2070.3,2.12,50,0.0515,0.54,0.05,0.49 +314,做空,2026-02-26 14:05:00,2026-02-26 14:45:00,2070.3,2061.26,2.12,50,0.0513,0.46,0.05,0.41 diff --git a/strategy/results/bb_5m_param_sweep_conservative_2020_2025.csv b/strategy/results/bb_5m_param_sweep_conservative_2020_2025.csv new file mode 100644 index 0000000..33469fb --- /dev/null +++ b/strategy/results/bb_5m_param_sweep_conservative_2020_2025.csv @@ -0,0 +1,37 @@ +period,std,train_final,train_ret_pct,train_trades,train_liq,test_final,test_ret_pct,test_trades,test_liq,score +30,3.0,6.461292242669117e-12,-99.99999999999677,6251,2111,1.5236368612973373e-11,-99.99999999999238,5324,1148,1.5236368612973373e-11 +20,3.0,1.8100835126072174e-13,-99.99999999999991,8303,2213,2.004484456301478e-13,-99.9999999999999,7119,1125,2.004484456301478e-13 +30,2.8,2.4311483078671436e-12,-99.99999999999878,7043,2250,1.7667468163728375e-13,-99.99999999999991,6027,1207,1.7667468163728375e-13 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+2025-12-29,187.82512114157942,-0.05862743954696725,202.96902809663425,-0.08279438928659033 +2025-12-30,187.8586969818653,0.033575840285891445,202.97479198285453,0.005763886220279346 +2025-12-31,187.87751952363539,0.018822541770077805,202.98777028457513,0.012978301720607988 diff --git a/strategy/results/bb_5m_practical_upgrade_summary.csv b/strategy/results/bb_5m_practical_upgrade_summary.csv new file mode 100644 index 0000000..3cd1cb0 --- /dev/null +++ b/strategy/results/bb_5m_practical_upgrade_summary.csv @@ -0,0 +1,3 @@ +label,final_equity,return_pct,trade_count,win_rate_pct,liq_count,max_drawdown,total_fee,total_rebate,sharpe +"Baseline (BB30/3.0, no filters)",187.87751952363539,-6.061240238182307,8669,61.62187103472142,0,-12.334791284875877,16.98060303079724,15.274934432023217,-1.4020222751730407 +Practical (BB30/3.2 + EMA + BW + cooldown),202.98777028457513,1.4938851422875672,2208,64.4927536231884,0,-2.2659000933991535,4.492191078113778,4.042051704177064,0.5747142550615898 diff --git a/strategy/results/bb_trade_d_plan_2020_2025.png b/strategy/results/bb_trade_d_plan_2020_2025.png new file mode 100644 index 0000000..061ee88 Binary files /dev/null and b/strategy/results/bb_trade_d_plan_2020_2025.png differ diff --git a/strategy/run_bb_15m_2020_2025.py b/strategy/run_bb_15m_2020_2025.py new file mode 100644 index 0000000..9be3f0f --- /dev/null +++ b/strategy/run_bb_15m_2020_2025.py @@ -0,0 +1,111 @@ +""" +BB(10, 2.5) 均值回归策略回测 — 15分钟K线 | 2020-2025 | 200U | 万五手续费 | 90%返佣次日8点到账 +""" +import sys, time +sys.stdout.reconfigure(line_buffering=True) +sys.path.insert(0, str(__import__("pathlib").Path(__file__).resolve().parents[1])) + +import numpy as np +import pandas as pd +import matplotlib +matplotlib.use("Agg") +import matplotlib.pyplot as plt +from pathlib import Path + +from strategy.bb_backtest import BBConfig, run_bb_backtest +from strategy.data_loader import load_klines + +out_dir = Path(__file__).resolve().parent / "results" +out_dir.mkdir(parents=True, exist_ok=True) + +# ============================================================ +# 加载 15 分钟 K 线数据 (2020-2025) +# ============================================================ +YEARS = list(range(2020, 2026)) +data = {} + +print("加载 15 分钟 K 线数据 (2020-2025)...") +t0 = time.time() +for y in YEARS: + end_year = y + 1 if y < 2025 else 2026 # 2025 数据到 2026-01-01 前 + df = load_klines('15m', f'{y}-01-01', f'{end_year}-01-01') + data[y] = df + print(f" {y}: {len(df):>7,} 条 ({df.index[0]} ~ {df.index[-1]})") +print(f"数据加载完成 ({time.time()-t0:.1f}s)\n") + +# ============================================================ +# 配置: 200U | 万五手续费 | 90%返佣次日8点到账 +# ============================================================ +cfg = BBConfig( + bb_period=10, + bb_std=2.5, + leverage=50, + initial_capital=200.0, + margin_pct=0.01, # 1% 权益/单 + max_daily_loss=50.0, # 固定值备用 + max_daily_loss_pct=0.05, # 日亏损上限 = 当日起始权益的 5% + fee_rate=0.0005, # 万五 (0.05%) 开平仓各万五 + rebate_rate=0.0, + rebate_pct=0.90, # 90% 手续费返佣 + rebate_hour_utc=0, # UTC 0点 = 北京时间早上8点到账 + # 强平 + liq_enabled=True, + maint_margin_rate=0.005, # 0.5% 维持保证金率 + # 滑点 + slippage_pct=0.0005, # 0.05% 滑点 + # 市场容量限制 + max_notional=500000.0, # 单笔最大名义价值 50万U + # 加仓 + pyramid_enabled=True, + pyramid_step=0.01, # 递增加仓 + pyramid_max=3, +) + +# ============================================================ +# 运行回测 (滚仓: 200U 起，逐年累加不复位) +# ============================================================ +df_full = pd.concat([data[y] for y in YEARS]) +r_full = run_bb_backtest(df_full, cfg) +d_full = r_full.daily_stats +eq_full = d_full["equity"].astype(float) +pnl_full = d_full["pnl"].astype(float) +eq_curve = r_full.equity_curve["equity"].dropna() + +final_eq = float(eq_full.iloc[-1]) +ret_pct = (final_eq - 200) / 200 * 100 +dd_full = float((eq_full - eq_full.cummax()).min()) +sharpe_full = float(pnl_full.mean() / pnl_full.std()) * np.sqrt(365) if pnl_full.std() > 0 else 0 +win_full = sum(1 for t in r_full.trades if t.net_pnl > 0) / max(len(r_full.trades), 1) * 100 + +print("=" * 100) +print(" BB(10, 2.5) 15分钟K线 | 200U 起滚仓 | 万五 fee | 90% 返佣 | 含强平+滑点+容量限制") +print("=" * 100) +liq_count = sum(1 for t in r_full.trades if t.fee == 0.0 and t.net_pnl < 0) +print(f" 初始本金: 200U | 最终权益: {final_eq:,.0f}U | 收益率: {ret_pct:+,.1f}%") +print(f" 交易次数: {len(r_full.trades)} | 胜率: {win_full:.1f}% | 强平次数: {liq_count} | 最大回撤: {dd_full:+,.0f}U") +print(f" 总手续费: {r_full.total_fee:,.0f} | 总返佣: {r_full.total_rebate:,.0f} | Sharpe: {sharpe_full:.2f}") +print("-" * 100) +print(" 年末权益:") +for y in YEARS: + mask = eq_curve.index.year == y + if mask.any(): + yr_eq = float(eq_curve.loc[mask].iloc[-1]) + print(f" {y} 年末: {yr_eq:,.0f}U") +print("=" * 100) + +# ============================================================ +# 生成权益曲线图 (对数坐标，滚仓复利) +# ============================================================ +fig, ax = plt.subplots(1, 1, figsize=(14, 6), dpi=120) +eq_ser = eq_curve +days = (eq_ser.index - eq_ser.index[0]).total_seconds() / 86400 +ax.semilogy(days, eq_ser.values.clip(min=1), color="#2563eb", linewidth=1.2) +ax.axhline(y=200, color="gray", linestyle="--", alpha=0.6) +ax.set_title("BB(10, 2.5) 15min | 200U | 0.05% fee 90% rebate | 2020-2025", fontsize=12, fontweight="bold") +ax.set_xlabel("Days") +ax.set_ylabel("Equity (USDT, log scale)") +ax.grid(True, alpha=0.3) + +chart_path = out_dir / "bb_15m_200u_2020_2025.png" +plt.savefig(chart_path, bbox_inches="tight") +print(f"\n图表已保存: {chart_path}") diff --git a/strategy/run_bb_15m_2020_2025_conservative.py b/strategy/run_bb_15m_2020_2025_conservative.py new file mode 100644 index 0000000..432538c --- /dev/null +++ b/strategy/run_bb_15m_2020_2025_conservative.py @@ -0,0 +1,323 @@ +""" +Conservative BB backtest for bb_trade-style logic. + +Assumptions: +1) Use 15m OHLC from 2020-01-01 to 2026-01-01 (exclusive). +2) Bollinger band is computed from CLOSED bars (shifted by 1 bar). +3) If bar i touches band, execute on bar i+1 open (no same-bar fill). +4) Fee: 0.05% each side; rebate: 90% of daily fee, credited next day at 08:00 UTC+8 (UTC 00:00). +5) Position sizing: 1% equity open, then +1%/+2%/+3% add ladder (max 3 adds). +6) Leverage 50x; optional liquidation model enabled. +""" + +from __future__ import annotations + +from dataclasses import dataclass +from pathlib import Path +import sys + +import numpy as np +import pandas as pd + +sys.path.insert(0, str(Path(__file__).resolve().parents[1])) + +from strategy.data_loader import load_klines + + +@dataclass +class ConservativeConfig: + bb_period: int = 10 + bb_std: float = 2.5 + leverage: float = 50.0 + initial_capital: float = 200.0 + margin_pct: float = 0.01 + pyramid_step: float = 0.01 + pyramid_max: int = 3 + fee_rate: float = 0.0005 + rebate_pct: float = 0.90 + rebate_hour_utc: int = 0 + slippage_pct: float = 0.0005 + liq_enabled: bool = True + maint_margin_rate: float = 0.005 + max_daily_loss: float = 50.0 + + +def bollinger_prev_close(close: pd.Series, period: int, n_std: float) -> tuple[np.ndarray, np.ndarray]: + mid = close.rolling(period).mean().shift(1) + std = close.rolling(period).std(ddof=0).shift(1) + upper = (mid + n_std * std).to_numpy(dtype=float) + lower = (mid - n_std * std).to_numpy(dtype=float) + return upper, lower + + +def run_conservative(df: pd.DataFrame, cfg: ConservativeConfig): + arr_open = df["open"].to_numpy(dtype=float) + arr_high = df["high"].to_numpy(dtype=float) + arr_low = df["low"].to_numpy(dtype=float) + arr_close = df["close"].to_numpy(dtype=float) + idx = df.index + n = len(df) + + upper, lower = bollinger_prev_close(df["close"].astype(float), cfg.bb_period, cfg.bb_std) + + balance = cfg.initial_capital + position = 0 # +1 long, -1 short + entry_price = 0.0 + entry_qty = 0.0 + entry_margin = 0.0 + pyramid_count = 0 + + total_fee = 0.0 + total_rebate = 0.0 + trades = 0 + win_trades = 0 + liq_count = 0 + + day_fees = {} + current_day = None + day_start_equity = cfg.initial_capital + day_pnl = 0.0 + day_stopped = False + rebate_applied_today = False + + equity_arr = np.full(n, np.nan) + position_arr = np.zeros(n) + + def unrealised(price: float) -> float: + if position == 0: + return 0.0 + if position == 1: + return entry_qty * (price - entry_price) + return entry_qty * (entry_price - price) + + def apply_open_slippage(side: int, price: float) -> float: + # Buy higher, sell lower + return price * (1 + cfg.slippage_pct) if side == 1 else price * (1 - cfg.slippage_pct) + + def apply_close_slippage(side: int, price: float) -> float: + # Close long = sell lower; close short = buy higher + return price * (1 - cfg.slippage_pct) if side == 1 else price * (1 + cfg.slippage_pct) + + def add_fee(ts: pd.Timestamp, fee: float): + nonlocal total_fee + total_fee += fee + d = ts.date() + day_fees[d] = day_fees.get(d, 0.0) + fee + + def close_position(exec_price: float, exec_idx: int): + nonlocal balance, position, entry_price, entry_qty, entry_margin, pyramid_count + nonlocal trades, win_trades, day_pnl + if position == 0: + return + + px = apply_close_slippage(position, exec_price) + gross = entry_qty * (px - entry_price) if position == 1 else entry_qty * (entry_price - px) + notional = entry_qty * px + fee = notional * cfg.fee_rate + net = gross - fee + + balance += net + add_fee(idx[exec_idx], fee) + day_pnl += net + trades += 1 + if net > 0: + win_trades += 1 + + position = 0 + entry_price = 0.0 + entry_qty = 0.0 + entry_margin = 0.0 + pyramid_count = 0 + + def open_position(side: int, exec_price: float, exec_idx: int, is_add: bool = False): + nonlocal balance, position, entry_price, entry_qty, entry_margin, pyramid_count + nonlocal day_pnl + px = apply_open_slippage(side, exec_price) + eq = balance + unrealised(px) + + if is_add: + margin = eq * (cfg.margin_pct + cfg.pyramid_step * (pyramid_count + 1)) + else: + margin = eq * cfg.margin_pct + + margin = min(margin, balance * 0.95) + if margin <= 0: + return + + notional = margin * cfg.leverage + qty = notional / px + fee = notional * cfg.fee_rate + + balance -= fee + add_fee(idx[exec_idx], fee) + day_pnl -= fee + + if is_add and position != 0: + old_notional = entry_qty * entry_price + new_notional = qty * px + entry_qty += qty + entry_price = (old_notional + new_notional) / entry_qty + entry_margin += margin + pyramid_count += 1 + else: + position = side + entry_price = px + entry_qty = qty + entry_margin = margin + pyramid_count = 0 + + for i in range(n - 1): + ts = idx[i] + bar_day = ts.date() + + if bar_day != current_day: + current_day = bar_day + day_start_equity = balance + unrealised(arr_close[i]) + day_pnl = 0.0 + day_stopped = False + rebate_applied_today = False + + if (not rebate_applied_today) and ts.hour >= cfg.rebate_hour_utc: + prev_day = bar_day - pd.Timedelta(days=1) + prev_fee = day_fees.get(prev_day, 0.0) + if prev_fee > 0: + rebate = prev_fee * cfg.rebate_pct + balance += rebate + total_rebate += rebate + rebate_applied_today = True + + if not day_stopped: + if day_pnl + unrealised(arr_close[i]) <= -cfg.max_daily_loss: + close_position(arr_open[i + 1], i + 1) + day_stopped = True + + if cfg.liq_enabled and position != 0 and entry_margin > 0: + liq_threshold = 1.0 / cfg.leverage * (1 - cfg.maint_margin_rate) + if position == 1: + liq_price = entry_price * (1 - liq_threshold) + if arr_low[i] <= liq_price: + balance -= entry_margin + day_pnl -= entry_margin + position = 0 + entry_price = 0.0 + entry_qty = 0.0 + entry_margin = 0.0 + pyramid_count = 0 + trades += 1 + liq_count += 1 + elif position == -1: + liq_price = entry_price * (1 + liq_threshold) + if arr_high[i] >= liq_price: + balance -= entry_margin + day_pnl -= entry_margin + position = 0 + entry_price = 0.0 + entry_qty = 0.0 + entry_margin = 0.0 + pyramid_count = 0 + trades += 1 + liq_count += 1 + + if day_stopped or np.isnan(upper[i]) or np.isnan(lower[i]): + equity_arr[i] = balance + unrealised(arr_close[i]) + position_arr[i] = position + if balance <= 0: + balance = 0.0 + equity_arr[i:] = 0.0 + position_arr[i:] = 0 + break + continue + + touched_upper = arr_high[i] >= upper[i] + touched_lower = arr_low[i] <= lower[i] + exec_px = arr_open[i + 1] + + if touched_upper and touched_lower: + pass + elif touched_upper: + if position == 1: + close_position(exec_px, i + 1) + if position == 0: + open_position(-1, exec_px, i + 1, is_add=False) + elif position == -1 and pyramid_count < cfg.pyramid_max: + open_position(-1, exec_px, i + 1, is_add=True) + elif touched_lower: + if position == -1: + close_position(exec_px, i + 1) + if position == 0: + open_position(1, exec_px, i + 1, is_add=False) + elif position == 1 and pyramid_count < cfg.pyramid_max: + open_position(1, exec_px, i + 1, is_add=True) + + equity_arr[i] = balance + unrealised(arr_close[i]) + position_arr[i] = position + + if balance <= 0: + balance = 0.0 + equity_arr[i:] = 0.0 + position_arr[i:] = 0 + break + + if position != 0 and balance > 0: + close_position(arr_close[-1], n - 1) + + equity_arr[-1] = balance + position_arr[-1] = 0 + + eq_df = pd.DataFrame({"equity": equity_arr, "position": position_arr}, index=idx) + daily = eq_df["equity"].resample("1D").last().dropna().to_frame("equity") + daily["pnl"] = daily["equity"].diff().fillna(0.0) + + return { + "equity_curve": eq_df, + "daily": daily, + "final_equity": float(daily["equity"].iloc[-1]), + "trade_count": int(trades), + "win_rate": float(win_trades / max(trades, 1)), + "liq_count": int(liq_count), + "total_fee": float(total_fee), + "total_rebate": float(total_rebate), + } + + +def main(): + df = load_klines("15m", "2020-01-01", "2026-01-01") + cfg = ConservativeConfig() + result = run_conservative(df, cfg) + + daily = result["daily"] + eq = daily["equity"].astype(float) + pnl = daily["pnl"].astype(float) + final_eq = float(eq.iloc[-1]) + ret_pct = (final_eq - cfg.initial_capital) / cfg.initial_capital * 100 + max_dd = float((eq - eq.cummax()).min()) if len(eq) else 0.0 + sharpe = float(pnl.mean() / pnl.std() * np.sqrt(365)) if pnl.std() > 0 else 0.0 + + print("=" * 110) + print("Conservative BB(10,2.5) | 15m | 2020-2025 | 200U | fee 0.05% each side | 90% rebate next day 08:00") + print("=" * 110) + print(f"Final equity: {final_eq:.8f} U") + print(f"Return: {ret_pct:+.2f}%") + print(f"Trades: {result['trade_count']}") + print(f"Win rate: {result['win_rate']*100:.2f}%") + print(f"Liquidations: {result['liq_count']}") + print(f"Max drawdown: {max_dd:.2f} U") + print(f"Total fee: {result['total_fee']:.8f}") + print(f"Total rebate: {result['total_rebate']:.8f}") + print(f"Sharpe: {sharpe:.4f}") + print("-" * 110) + for year in range(2020, 2026): + m = daily.index.year == year + if m.any(): + print(f"{year} year-end equity: {float(daily.loc[m, 'equity'].iloc[-1]):.8f} U") + print("=" * 110) + + out_dir = Path(__file__).resolve().parent / "results" + out_dir.mkdir(parents=True, exist_ok=True) + out_csv = out_dir / "bb_15m_2020_2025_conservative_daily.csv" + daily.to_csv(out_csv) + print(f"Saved daily equity: {out_csv}") + + +if __name__ == "__main__": + main() diff --git a/strategy/run_bb_202602_detail.py b/strategy/run_bb_202602_detail.py new file mode 100644 index 0000000..8a0ba7b --- /dev/null +++ b/strategy/run_bb_202602_detail.py @@ -0,0 +1,67 @@ +""" +bb_trade.py 策略回测 — 2026年2月，输出详细交易明细 +200U 本金 | 1% 仓位/单 | 万五手续费 | 90% 返佣次日8点到账 +按北京时间加载数据 (与交易所/网页显示一致) +""" +import sys +sys.path.insert(0, str(__import__("pathlib").Path(__file__).resolve().parents[1])) + +import pandas as pd +from pathlib import Path + +from strategy.bb_backtest import BBConfig, run_bb_backtest +from strategy.data_loader import load_klines + +out_dir = Path(__file__).resolve().parent / "results" +out_dir.mkdir(parents=True, exist_ok=True) + +# 按北京时间加载 2026-02-01 00:00 ~ 2026-03-01 00:00 +df = load_klines('5m', '2026-02-01', '2026-03-01', tz='Asia/Shanghai') + +cfg = BBConfig( + bb_period=10, bb_std=2.5, leverage=50, initial_capital=200.0, + margin_pct=0.01, max_daily_loss=50.0, fee_rate=0.0005, + rebate_pct=0.90, rebate_hour_utc=0, pyramid_enabled=False, # 不加仓 + pyramid_step=0.01, pyramid_max=3, slippage_pct=0.0, liq_enabled=True, + cross_margin=True, # 全仓：仅权益<=0 时爆仓 + fill_at_close=True, # 真实成交：检测到信号后在 K 线收盘价成交 +) + +r = run_bb_backtest(df, cfg) + +# 数据库/回测使用 UTC，转为北京时间输出 +def to_beijing(ts): + if hasattr(ts, 'tz_localize'): + return ts.tz_localize('UTC').tz_convert('Asia/Shanghai').strftime('%Y-%m-%d %H:%M:%S') + return str(ts)[:19] + +# 构建交易明细 DataFrame +rows = [] +for i, t in enumerate(r.trades, 1): + rows.append({ + "序号": i, + "方向": "做多" if t.side == "long" else "做空", + "开仓时间": to_beijing(t.entry_time), + "平仓时间": to_beijing(t.exit_time), + "开仓价": round(t.entry_price, 2), + "平仓价": round(t.exit_price, 2), + "保证金": round(t.margin, 2), + "杠杆": t.leverage, + "数量": round(t.qty, 4), + "毛盈亏": round(t.gross_pnl, 2), + "手续费": round(t.fee, 2), + "净盈亏": round(t.net_pnl, 2), + }) + +trade_df = pd.DataFrame(rows) + +# 保存 CSV +csv_path = out_dir / "bb_202602_trade_detail.csv" +trade_df.to_csv(csv_path, index=False, encoding="utf-8-sig") +print(f"交易明细已保存: {csv_path}") + +# 打印到控制台 +print("\n" + "=" * 150) +print(f" 交易明细 (共 {len(r.trades)} 笔)") +print("=" * 150) +print(trade_df.to_string(index=False)) diff --git a/strategy/run_bb_5m_practical_upgrade.py b/strategy/run_bb_5m_practical_upgrade.py new file mode 100644 index 0000000..02b9d51 --- /dev/null +++ b/strategy/run_bb_5m_practical_upgrade.py @@ -0,0 +1,381 @@ +""" +Practical upgraded BB backtest on 5m ETH data (2020-2025). + +Execution model (conservative): +1) BB uses closed bars only (shift by 1 bar). +2) Signal on bar i, execution at bar i+1 open. +3) Fee = 0.05% each side, rebate = 90% next day at UTC 00:00 (UTC+8 08:00). +4) Daily loss stop, liquidation, and slippage are enabled. + +Compares: +- Baseline: BB(30, 3.0), 1x, no trend filter. +- Practical: BB(30, 3.2), 1x, EMA trend filter, BB width filter, cooldown. +""" + +from __future__ import annotations + +from dataclasses import dataclass +from pathlib import Path +import sys + +import numpy as np +import pandas as pd + +sys.path.insert(0, str(Path(__file__).resolve().parents[1])) + +from strategy.data_loader import load_klines + + +@dataclass +class PracticalConfig: + bb_period: int = 30 + bb_std: float = 3.2 + leverage: float = 1.0 + initial_capital: float = 200.0 + margin_pct: float = 0.01 + fee_rate: float = 0.0005 + rebate_pct: float = 0.90 + rebate_hour_utc: int = 0 + slippage_pct: float = 0.0005 + liq_enabled: bool = True + maint_margin_rate: float = 0.005 + max_daily_loss: float = 50.0 + + # Practical risk controls + trend_ema_period: int = 288 # 288 * 5m = 24h EMA + min_bandwidth: float = 0.01 # (upper-lower)/mid minimum + cooldown_bars: int = 6 # 6 * 5m = 30 minutes + + +def run_practical_backtest(df: pd.DataFrame, cfg: PracticalConfig): + arr_open = df["open"].to_numpy(dtype=float) + arr_high = df["high"].to_numpy(dtype=float) + arr_low = df["low"].to_numpy(dtype=float) + arr_close = df["close"].to_numpy(dtype=float) + idx = df.index + n = len(df) + + close_s = df["close"].astype(float) + mid = close_s.rolling(cfg.bb_period).mean().shift(1) + std = close_s.rolling(cfg.bb_period).std(ddof=0).shift(1) + upper_s = mid + cfg.bb_std * std + lower_s = mid - cfg.bb_std * std + bandwidth_s = (upper_s - lower_s) / mid + + upper = upper_s.to_numpy(dtype=float) + lower = lower_s.to_numpy(dtype=float) + bandwidth = bandwidth_s.to_numpy(dtype=float) + + if cfg.trend_ema_period > 0: + trend_ema = close_s.ewm(span=cfg.trend_ema_period, adjust=False).mean().shift(1).to_numpy(dtype=float) + else: + trend_ema = np.full(n, np.nan) + + balance = cfg.initial_capital + position = 0 # +1 long, -1 short + entry_price = 0.0 + entry_qty = 0.0 + entry_margin = 0.0 + + trades = 0 + win_trades = 0 + liq_count = 0 + total_fee = 0.0 + total_rebate = 0.0 + + current_day = None + day_pnl = 0.0 + day_stopped = False + rebate_applied_today = False + next_trade_bar = 0 + day_fees = {} + + equity_arr = np.full(n, np.nan) + position_arr = np.zeros(n) + + def unrealised(price: float) -> float: + if position == 0: + return 0.0 + if position == 1: + return entry_qty * (price - entry_price) + return entry_qty * (entry_price - price) + + def apply_open_slippage(side: int, price: float) -> float: + return price * (1 + cfg.slippage_pct) if side == 1 else price * (1 - cfg.slippage_pct) + + def apply_close_slippage(side: int, price: float) -> float: + return price * (1 - cfg.slippage_pct) if side == 1 else price * (1 + cfg.slippage_pct) + + def add_fee(ts: pd.Timestamp, fee: float): + nonlocal total_fee + total_fee += fee + d = ts.date() + day_fees[d] = day_fees.get(d, 0.0) + fee + + def close_position(exec_price: float, exec_idx: int): + nonlocal balance, position, entry_price, entry_qty, entry_margin + nonlocal trades, win_trades, day_pnl + if position == 0: + return + + px = apply_close_slippage(position, exec_price) + gross = entry_qty * (px - entry_price) if position == 1 else entry_qty * (entry_price - px) + notional = entry_qty * px + fee = notional * cfg.fee_rate + net = gross - fee + + balance += net + add_fee(idx[exec_idx], fee) + day_pnl += net + trades += 1 + if net > 0: + win_trades += 1 + + position = 0 + entry_price = 0.0 + entry_qty = 0.0 + entry_margin = 0.0 + + def open_position(side: int, exec_price: float, exec_idx: int): + nonlocal balance, position, entry_price, entry_qty, entry_margin + nonlocal day_pnl + px = apply_open_slippage(side, exec_price) + eq = balance + unrealised(px) + margin = min(eq * cfg.margin_pct, balance * 0.95) + if margin <= 0: + return + + notional = margin * cfg.leverage + qty = notional / px + fee = notional * cfg.fee_rate + + balance -= fee + add_fee(idx[exec_idx], fee) + day_pnl -= fee + + position = side + entry_price = px + entry_qty = qty + entry_margin = margin + + for i in range(n - 1): + ts = idx[i] + bar_day = ts.date() + + if bar_day != current_day: + current_day = bar_day + day_pnl = 0.0 + day_stopped = False + rebate_applied_today = False + + # Fee rebate settlement (next day 08:00 UTC+8 = UTC 00:00) + if (not rebate_applied_today) and ts.hour >= cfg.rebate_hour_utc: + prev_day = bar_day - pd.Timedelta(days=1) + prev_fee = day_fees.get(prev_day, 0.0) + if prev_fee > 0: + rebate = prev_fee * cfg.rebate_pct + balance += rebate + total_rebate += rebate + rebate_applied_today = True + + # Daily loss stop + if not day_stopped and (day_pnl + unrealised(arr_close[i]) <= -cfg.max_daily_loss): + close_position(arr_open[i + 1], i + 1) + day_stopped = True + + # Liquidation check + if cfg.liq_enabled and position != 0 and entry_margin > 0: + liq_threshold = 1.0 / cfg.leverage * (1 - cfg.maint_margin_rate) + if position == 1: + liq_price = entry_price * (1 - liq_threshold) + if arr_low[i] <= liq_price: + balance -= entry_margin + day_pnl -= entry_margin + position = 0 + entry_price = 0.0 + entry_qty = 0.0 + entry_margin = 0.0 + trades += 1 + liq_count += 1 + else: + liq_price = entry_price * (1 + liq_threshold) + if arr_high[i] >= liq_price: + balance -= entry_margin + day_pnl -= entry_margin + position = 0 + entry_price = 0.0 + entry_qty = 0.0 + entry_margin = 0.0 + trades += 1 + liq_count += 1 + + if ( + day_stopped + or i < next_trade_bar + or np.isnan(upper[i]) + or np.isnan(lower[i]) + or np.isnan(bandwidth[i]) + ): + equity_arr[i] = balance + unrealised(arr_close[i]) + position_arr[i] = position + if balance <= 0: + balance = 0.0 + equity_arr[i:] = 0.0 + position_arr[i:] = 0 + break + continue + + if cfg.trend_ema_period > 0 and np.isnan(trend_ema[i]): + equity_arr[i] = balance + unrealised(arr_close[i]) + position_arr[i] = position + continue + + if bandwidth[i] < cfg.min_bandwidth: + equity_arr[i] = balance + unrealised(arr_close[i]) + position_arr[i] = position + continue + + touched_upper = arr_high[i] >= upper[i] + touched_lower = arr_low[i] <= lower[i] + exec_px = arr_open[i + 1] + + if cfg.trend_ema_period > 0: + long_ok = arr_close[i] > trend_ema[i] + short_ok = arr_close[i] < trend_ema[i] + else: + long_ok = True + short_ok = True + + if touched_upper and touched_lower: + pass + elif touched_upper: + if position == 1: + close_position(exec_px, i + 1) + next_trade_bar = max(next_trade_bar, i + 1 + cfg.cooldown_bars) + if position == 0 and short_ok: + open_position(-1, exec_px, i + 1) + next_trade_bar = max(next_trade_bar, i + 1 + cfg.cooldown_bars) + elif touched_lower: + if position == -1: + close_position(exec_px, i + 1) + next_trade_bar = max(next_trade_bar, i + 1 + cfg.cooldown_bars) + if position == 0 and long_ok: + open_position(1, exec_px, i + 1) + next_trade_bar = max(next_trade_bar, i + 1 + cfg.cooldown_bars) + + equity_arr[i] = balance + unrealised(arr_close[i]) + position_arr[i] = position + + if balance <= 0: + balance = 0.0 + equity_arr[i:] = 0.0 + position_arr[i:] = 0 + break + + if position != 0 and balance > 0: + close_position(arr_close[-1], n - 1) + + equity_arr[-1] = balance + position_arr[-1] = 0 + + eq_df = pd.DataFrame({"equity": equity_arr, "position": position_arr}, index=idx) + daily = eq_df["equity"].resample("1D").last().dropna().to_frame("equity") + daily["pnl"] = daily["equity"].diff().fillna(0.0) + + return { + "equity_curve": eq_df, + "daily": daily, + "final_equity": float(daily["equity"].iloc[-1]), + "trade_count": int(trades), + "win_rate": float(win_trades / max(trades, 1)), + "liq_count": int(liq_count), + "total_fee": float(total_fee), + "total_rebate": float(total_rebate), + } + + +def summarize(label: str, result: dict, initial_capital: float): + daily = result["daily"] + eq = daily["equity"].astype(float) + pnl = daily["pnl"].astype(float) + final_eq = float(eq.iloc[-1]) + ret_pct = (final_eq - initial_capital) / initial_capital * 100 + max_dd = float((eq - eq.cummax()).min()) if len(eq) else 0.0 + sharpe = float(pnl.mean() / pnl.std() * np.sqrt(365)) if pnl.std() > 0 else 0.0 + + print(f"[{label}]") + print(f" Final equity: {final_eq:.6f} U") + print(f" Return: {ret_pct:+.4f}%") + print(f" Trades: {result['trade_count']} | Win rate: {result['win_rate']*100:.2f}% | Liquidations: {result['liq_count']}") + print(f" Max drawdown: {max_dd:.6f} U | Sharpe: {sharpe:.4f}") + print(f" Total fee: {result['total_fee']:.6f} | Total rebate: {result['total_rebate']:.6f}") + print(" Year-end equity:") + for year in range(2020, 2026): + m = daily.index.year == year + if m.any(): + print(f" {year}: {float(daily.loc[m, 'equity'].iloc[-1]):.6f} U") + print() + + return { + "label": label, + "final_equity": final_eq, + "return_pct": ret_pct, + "trade_count": result["trade_count"], + "win_rate_pct": result["win_rate"] * 100, + "liq_count": result["liq_count"], + "max_drawdown": max_dd, + "total_fee": result["total_fee"], + "total_rebate": result["total_rebate"], + "sharpe": sharpe, + } + + +def main(): + df = load_klines("5m", "2020-01-01", "2026-01-01") + + baseline_cfg = PracticalConfig( + bb_period=30, + bb_std=3.0, + leverage=1.0, + trend_ema_period=0, + min_bandwidth=0.0, + cooldown_bars=0, + ) + practical_cfg = PracticalConfig( + bb_period=30, + bb_std=3.2, + leverage=1.0, + trend_ema_period=288, + min_bandwidth=0.01, + cooldown_bars=6, + ) + + print("=" * 118) + print("Practical Upgrade Backtest | 5m | 2020-2025 | capital=200U | fee=0.05% each side | rebate=90% next day 08:00") + print("=" * 118) + print("Execution: signal at bar i, fill at bar i+1 open (conservative)") + print() + + baseline = run_practical_backtest(df, baseline_cfg) + practical = run_practical_backtest(df, practical_cfg) + + summary_rows = [] + summary_rows.append(summarize("Baseline (BB30/3.0, no filters)", baseline, baseline_cfg.initial_capital)) + summary_rows.append(summarize("Practical (BB30/3.2 + EMA + BW + cooldown)", practical, practical_cfg.initial_capital)) + + out_dir = Path(__file__).resolve().parent / "results" + out_dir.mkdir(parents=True, exist_ok=True) + + baseline_daily = baseline["daily"].rename(columns={"equity": "baseline_equity", "pnl": "baseline_pnl"}) + practical_daily = practical["daily"].rename(columns={"equity": "practical_equity", "pnl": "practical_pnl"}) + daily_compare = baseline_daily.join(practical_daily, how="outer") + daily_compare.to_csv(out_dir / "bb_5m_practical_upgrade_daily.csv") + + pd.DataFrame(summary_rows).to_csv(out_dir / "bb_5m_practical_upgrade_summary.csv", index=False) + + print(f"Saved: {out_dir / 'bb_5m_practical_upgrade_daily.csv'}") + print(f"Saved: {out_dir / 'bb_5m_practical_upgrade_summary.csv'}") + + +if __name__ == "__main__": + main() diff --git a/strategy/run_bb_trade_backtest.py b/strategy/run_bb_trade_backtest.py new file mode 100644 index 0000000..15e4e0e --- /dev/null +++ b/strategy/run_bb_trade_backtest.py @@ -0,0 +1,197 @@ +""" +回测 bb_trade.py 的 D方案策略 +BB(10, 2.5) | 5分钟 | ETH | 50x | 递增加仓+1%/次 max=3 +200U 本金 | 每次开仓 1% 权益 | 开平仓手续费万五 | 返佣90%次日早8点到账 +""" +import sys, time +sys.stdout.reconfigure(line_buffering=True) +sys.path.insert(0, str(__import__("pathlib").Path(__file__).resolve().parents[1])) + +import numpy as np +import pandas as pd +import matplotlib +matplotlib.use("Agg") +import matplotlib.pyplot as plt +from pathlib import Path + +from strategy.bb_backtest import BBConfig, run_bb_backtest +from strategy.data_loader import load_klines + +out_dir = Path(__file__).resolve().parent / "results" +out_dir.mkdir(parents=True, exist_ok=True) + +# ============================================================ +# 加载数据 2020-2025 +# ============================================================ +YEARS = list(range(2020, 2026)) + +print("加载 5 分钟 K 线数据 (2020-2025)...") +t0 = time.time() +data = {} +for y in YEARS: + df = load_klines('5m', f'{y}-01-01', f'{y+1}-01-01') + data[y] = df + print(f" {y}: {len(df):>7,} 条 ({df.index[0]} ~ {df.index[-1]})") + +# 合并全量数据用于连续回测 +df_all = pd.concat([data[y] for y in YEARS]) +df_all = df_all[~df_all.index.duplicated(keep='first')].sort_index() +print(f" 合计: {len(df_all):>7,} 条 ({df_all.index[0]} ~ {df_all.index[-1]})") +print(f"数据加载完成 ({time.time()-t0:.1f}s)\n") + +# ============================================================ +# 配置 — 完全匹配 bb_trade.py D方案 +# ============================================================ +cfg = BBConfig( + bb_period=10, + bb_std=2.5, + leverage=50, + initial_capital=200.0, + margin_pct=0.01, # 1% 权益/单 + max_daily_loss=50.0, + fee_rate=0.0005, # 万五 (0.05%) 每侧 (开+平各收一次) + rebate_rate=0.0, # 无即时返佣 + rebate_pct=0.90, # 90% 手续费次日返还 + rebate_hour_utc=0, # UTC 0点 = 北京时间早上8点 + pyramid_enabled=True, + pyramid_step=0.01, # 递增加仓 +1%/次 + pyramid_max=3, # 最多加仓3次 + slippage_pct=0.0, # 回测不加滑点 (实盘浏览器市价单有滑点) + liq_enabled=True, + stop_loss_pct=0.0, +) + +# ============================================================ +# 1) 逐年回测 (每年独立 200U 起步) +# ============================================================ +print("=" * 100) +print(" 【逐年独立回测】每年独立 200U 本金") +print(f" BB({cfg.bb_period}, {cfg.bb_std}) | {cfg.leverage}x | 开仓={cfg.margin_pct:.0%}权益 | " + f"手续费={cfg.fee_rate:.4%}/侧 | 返佣={cfg.rebate_pct:.0%}次日8点") +print("=" * 100) +print(f" {'年份':>6s} {'最终权益':>10s} {'收益率':>8s} {'日均PnL':>8s} {'交易次数':>8s} {'胜率':>6s} " + f"{'最大回撤':>10s} {'回撤%':>8s} {'总手续费':>10s} {'总返佣':>10s} {'净手续费':>10s} {'Sharpe':>7s}") +print("-" * 130) + +year_results = {} +for y in YEARS: + r = run_bb_backtest(data[y], cfg) + year_results[y] = r + + d = r.daily_stats + pnl = d["pnl"].astype(float) + eq = d["equity"].astype(float) + peak = eq.cummax() + dd = float((eq - peak).min()) + dd_pct = dd / float(peak[eq - peak == dd].iloc[0]) * 100 if dd < 0 else 0 + final_eq = float(eq.iloc[-1]) + ret_pct = (final_eq - cfg.initial_capital) / cfg.initial_capital * 100 + n_trades = len(r.trades) + win_rate = sum(1 for t in r.trades if t.net_pnl > 0) / max(n_trades, 1) * 100 + avg_daily = float(pnl.mean()) + sharpe = float(pnl.mean() / pnl.std()) * np.sqrt(365) if pnl.std() > 0 else 0 + net_fee = r.total_fee - r.total_rebate + + print(f" {y:>6d} {final_eq:>10.1f} {ret_pct:>+7.1f}% {avg_daily:>+7.2f}U " + f"{n_trades:>8d} {win_rate:>5.1f}% {dd:>+10.1f} {dd_pct:>+7.1f}% " + f"{r.total_fee:>10.1f} {r.total_rebate:>10.1f} {net_fee:>10.1f} {sharpe:>7.2f}") + +print() + +# ============================================================ +# 2) 连续回测 (2020-2025 一次性跑，资金连续滚动) +# ============================================================ +print("=" * 100) +print(" 【连续回测】2020-2025 资金滚动，200U 起步") +print("=" * 100) + +r_all = run_bb_backtest(df_all, cfg) + +d_all = r_all.daily_stats +pnl_all = d_all["pnl"].astype(float) +eq_all = d_all["equity"].astype(float) +peak_all = eq_all.cummax() +dd_all = float((eq_all - peak_all).min()) +dd_pct_all = dd_all / float(peak_all[eq_all - peak_all == dd_all].iloc[0]) * 100 if dd_all < 0 else 0 +final_eq_all = float(eq_all.iloc[-1]) +ret_pct_all = (final_eq_all - cfg.initial_capital) / cfg.initial_capital * 100 +n_trades_all = len(r_all.trades) +win_rate_all = sum(1 for t in r_all.trades if t.net_pnl > 0) / max(n_trades_all, 1) * 100 +avg_daily_all = float(pnl_all.mean()) +sharpe_all = float(pnl_all.mean() / pnl_all.std()) * np.sqrt(365) if pnl_all.std() > 0 else 0 +net_fee_all = r_all.total_fee - r_all.total_rebate + +print(f" 初始资金: {cfg.initial_capital:.0f} U") +print(f" 最终权益: {final_eq_all:.1f} U") +print(f" 总收益率: {ret_pct_all:+.1f}%") +print(f" 日均 PnL: {avg_daily_all:+.2f} U") +print(f" 交易次数: {n_trades_all}") +print(f" 胜率: {win_rate_all:.1f}%") +print(f" 最大回撤: {dd_all:+.1f} U ({dd_pct_all:+.1f}%)") +print(f" 总手续费: {r_all.total_fee:.1f} U") +print(f" 总返佣: {r_all.total_rebate:.1f} U") +print(f" 净手续费: {net_fee_all:.1f} U") +print(f" Sharpe: {sharpe_all:.2f}") +print() + +# 按年统计连续回测中的表现 +print(" 连续回测逐年切片:") +print(f" {'年份':>6s} {'年初权益':>10s} {'年末权益':>10s} {'年收益':>10s} {'年收益率':>8s}") +print("-" * 60) +for y in YEARS: + mask = (eq_all.index >= f'{y}-01-01') & (eq_all.index < f'{y+1}-01-01') + if mask.sum() == 0: + continue + eq_year = eq_all[mask] + start_eq = float(eq_year.iloc[0]) + end_eq = float(eq_year.iloc[-1]) + yr_ret = end_eq - start_eq + yr_pct = yr_ret / start_eq * 100 + print(f" {y:>6d} {start_eq:>10.1f} {end_eq:>10.1f} {yr_ret:>+10.1f} {yr_pct:>+7.1f}%") +print() + +# ============================================================ +# 图表 +# ============================================================ +fig, axes = plt.subplots(3, 1, figsize=(18, 18), dpi=120) + +# 图1: 逐年独立回测权益曲线 +ax1 = axes[0] +colors = plt.cm.tab10(np.linspace(0, 1, len(YEARS))) +for i, y in enumerate(YEARS): + r = year_results[y] + eq = r.equity_curve["equity"].dropna() + days = (eq.index - eq.index[0]).total_seconds() / 86400 + ax1.plot(days, eq.values, label=f"{y}", color=colors[i], linewidth=0.8) +ax1.set_title(f"BB(10,2.5) D方案 逐年独立回测 (200U起步)", fontsize=13, fontweight="bold") +ax1.set_xlabel("天数") +ax1.set_ylabel("权益 (USDT)") +ax1.axhline(y=200, color="gray", linestyle="--", alpha=0.5, label="本金200U") +ax1.legend(loc="upper left", fontsize=9) +ax1.grid(True, alpha=0.3) + +# 图2: 连续回测权益曲线 +ax2 = axes[1] +eq_curve = r_all.equity_curve["equity"].dropna() +ax2.plot(eq_curve.index, eq_curve.values, color="steelblue", linewidth=0.6) +ax2.set_title(f"BB(10,2.5) D方案 连续回测 2020-2025 (200U→{final_eq_all:.0f}U)", fontsize=13, fontweight="bold") +ax2.set_xlabel("日期") +ax2.set_ylabel("权益 (USDT)") +ax2.axhline(y=200, color="gray", linestyle="--", alpha=0.5) +ax2.grid(True, alpha=0.3) + +# 图3: 连续回测日PnL +ax3 = axes[2] +daily_pnl = r_all.daily_stats["pnl"].astype(float) +colors_pnl = ['green' if x >= 0 else 'red' for x in daily_pnl.values] +ax3.bar(daily_pnl.index, daily_pnl.values, color=colors_pnl, width=1, alpha=0.7) +ax3.set_title("日 PnL 分布", fontsize=13, fontweight="bold") +ax3.set_xlabel("日期") +ax3.set_ylabel("PnL (USDT)") +ax3.axhline(y=0, color="black", linewidth=0.5) +ax3.grid(True, alpha=0.3) + +plt.tight_layout() +chart_path = out_dir / "bb_trade_d_plan_2020_2025.png" +plt.savefig(chart_path, bbox_inches="tight") +print(f"图表已保存: {chart_path}")