bitmart优化完成
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@@ -73,7 +73,7 @@ class BitmartOneThirdStrategy:
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self.min_body_size = 0.1 # 最小实体大小
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self.kline_step = 5 # K线周期（5分钟）
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self.kline_count = 20 # 获取的K线数量，用于向前查找有效K线
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# 实时监测参数
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self.check_interval = 3 # 检测间隔（秒）
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self.last_trigger_kline_id = None # 记录上次触发信号的K线ID，避免同一K线重复触发
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@@ -137,7 +137,7 @@ class BitmartOneThirdStrategy:
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return None, None
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# 基于收盘价的双向触发价格
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long_trigger = p_close + body / 3 # 从收盘价往上涨1/3触发做多
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long_trigger = p_close + body / 3 # 从收盘价往上涨1/3触发做多
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short_trigger = p_close - body / 3 # 从收盘价往下跌1/3触发做空
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return long_trigger, short_trigger
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@@ -423,6 +423,7 @@ class BitmartOneThirdStrategy:
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direction_str = "做多" if marketPriceLongOrder == 1 else "做空"
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logger.info(f"执行{direction_str}操作，金额: {size}")
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size = 25
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try:
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if marketPriceLongOrder == -1:
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self.click_safe('x://button[normalize-space(text()) ="市价"]')
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@@ -504,12 +505,33 @@ class BitmartOneThirdStrategy:
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self.click_safe('x://button[normalize-space(text()) ="市价"]')
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logger.info(f"开始实时监测，检测间隔: {self.check_interval}秒")
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# 用于定时发送持仓信息（每5分钟发一次）
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last_report_time = 0
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report_interval = 300 # 5分钟报告一次持仓
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while True:
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# 1. 打开浏览器
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for i in range(5):
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if self.openBrowser():
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break
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time.sleep(5)
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else:
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self.ding("打开浏览器失败！", error=True)
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return
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logger.info("浏览器打开成功")
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if self.close_extra_tabs_in_browser():
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logger.info('关闭多余标签页成功')
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else:
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logger.info('关闭多余标签页失败')
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self.page.get("https://derivatives.bitmart.com/zh-CN/futures/ETHUSDT")
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time.sleep(2)
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self.click_safe('x://button[normalize-space(text()) ="市价"]')
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try:
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# 获取K线数据
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kline_data = self.get_klines()
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@@ -526,13 +548,13 @@ class BitmartOneThirdStrategy:
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# 获取当前K线信息用于日志
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curr = kline_data[-1]
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curr_time_str = datetime.datetime.fromtimestamp(curr['id']).strftime('%H:%M:%S')
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# ========== 实时信号检测 ==========
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direction, trigger_price, valid_prev, curr_kline = self.check_realtime_trigger(kline_data)
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if direction:
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curr_kline_id = curr_kline['id']
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# 检查是否在同一K线内已经交易过（防止频繁反手）
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if self.last_trade_kline_id == curr_kline_id:
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logger.debug(f"同一K线内已交易，跳过本次{direction}信号")
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@@ -541,7 +563,7 @@ class BitmartOneThirdStrategy:
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self.last_trigger_direction = direction
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time.sleep(self.check_interval)
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continue
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# 获取持仓状态
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if not self.get_position_status():
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logger.warning("获取仓位信息失败")
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@@ -560,10 +582,12 @@ class BitmartOneThirdStrategy:
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time.sleep(self.check_interval)
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continue
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logger.info(f"{'='*50}")
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logger.info(f"{'=' * 50}")
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logger.info(f"🚨 检测到{direction}信号！触发价格: {trigger_price:.2f}")
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logger.info(f" 有效前一根[{prev_time}]: {prev_type} 实体={prev_body:.2f} O={valid_prev['open']:.2f} C={valid_prev['close']:.2f}")
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logger.info(f" 当前K线: H={curr_kline['high']:.2f} L={curr_kline['low']:.2f} C={curr_kline['close']:.2f}")
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logger.info(
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f" 有效前一根[{prev_time}]: {prev_type} 实体={prev_body:.2f} O={valid_prev['open']:.2f} C={valid_prev['close']:.2f}")
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logger.info(
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f" 当前K线: H={curr_kline['high']:.2f} L={curr_kline['low']:.2f} C={curr_kline['close']:.2f}")
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logger.info(f" 当前持仓: {self.start} (1=多, -1=空, 0=无)")
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# ========== 执行交易逻辑 ==========
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@@ -600,7 +624,7 @@ class BitmartOneThirdStrategy:
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# 记录本次触发
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self.last_trigger_kline_id = curr_kline_id
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self.last_trigger_direction = direction
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if executed:
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# 记录交易K线，防止同一K线内频繁反手
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self.last_trade_kline_id = curr_kline_id
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@@ -609,11 +633,12 @@ class BitmartOneThirdStrategy:
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self._send_position_message(curr_kline)
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last_report_time = time.time()
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logger.info(f"{'='*50}")
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logger.info(f"{'=' * 50}")
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else:
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# 没有信号时，显示实时价格
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logger.debug(f"[{curr_time_str}] 现价: {curr['close']:.2f} H={curr['high']:.2f} L={curr['low']:.2f}")
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logger.debug(
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f"[{curr_time_str}] 现价: {curr['close']:.2f} H={curr['high']:.2f} L={curr['low']:.2f}")
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# ========== 定时发送持仓信息 ==========
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current_time = time.time()
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@@ -629,6 +654,10 @@ class BitmartOneThirdStrategy:
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logger.error(f"主循环异常: {e}")
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time.sleep(self.check_interval)
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time.sleep(15)
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self.page.close()
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time.sleep(15)
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def _send_position_message(self, latest_kline):
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"""发送持仓信息到钉钉"""
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current_price = float(latest_kline["close"])
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@@ -638,7 +667,8 @@ class BitmartOneThirdStrategy:
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if self.start != 0:
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open_avg_price = float(self.open_avg_price) if self.open_avg_price else 0.0
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current_amount = float(self.current_amount) if self.current_amount else 0.0
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position_cross = float(self.position_cross) if hasattr(self, 'position_cross') and self.position_cross else 0.0
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position_cross = float(self.position_cross) if hasattr(self,
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'position_cross') and self.position_cross else 0.0
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# 计算浮动盈亏
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if self.start == 1: # 多头
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