bitmart优化完成

交易/bitmart-三分之一策略交易.py

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