### 计算Binance交易所今日盈亏的Python代码 为了实现这一目标，可以使用`vn.py`框架中的API接口连接到Binance并获取账户信息。通过分析账户的历史订单记录以及当前持仓情况，能够精确计算出当天的盈利或亏损状况。 ```python from vnpy.gateway.binances import BinancesGateway, LocalSymbol import pandas as pd from datetime import datetime, timedelta def calculate_daily_pnl(api_key, secret_key): gateway = BinancesGateway() setting = { "key": api_key, "secret": secret_key, "session_count": 3, "proxy_host": "", "proxy_port": 0, } gateway.connect(setting) # 获取今天的日期范围 today_start = datetime.now().replace(hour=0, minute=0, second=0, microsecond=0) today_end = today_start + timedelta(days=1) orders = [] trades = [] # 查询今天所有的订单和成交明细 all_orders = gateway.query_order() # 假设此函数返回所有未完成及已完成订单列表 for order in all_orders: create_time = datetime.fromtimestamp(order['create_timestamp']) if today_start <= create_time < today_end: orders.append(order) all_trades = gateway.query_trade() # 同样假设这个函数能获得所有交易历史 for trade in all_trades: trade_time = datetime.fromtimestamp(trade['trade_timestamp']) if today_start <= trade_time < today_end: trades.append(trade) pnl_data = {"symbol":[], "pnl":[]} symbols_set = set([item["symbol"] for item in (orders+trades)]) for symbol in symbols_set: total_cost = sum([ float(t['price']) * abs(float(t['volume']))*(-1 if t['direction']=='buy' else 1) for t in filter(lambda x:x['symbol']==symbol and 'filled_volume'in x.keys(), trades)]) current_position_value = sum([ float(o['price']) * o['current_holding']*(1 if o['side']=="LONG" else -1) for o in filter(lambda x:(x['status']=="open" or x['status']=="partially_filled")and x['symbol']==symbol , orders)]) daily_pnl = round(total_cost + current_position_value, 2) pnl_data["symbol"].append(symbol) pnl_data["pnl"].append(daily_pnl) df.pnl_report = pd.DataFrame(pnl_data).set_index('symbol') return df.pnl_report if __name__ == "__main__": API_KEY = "<your_binance_api_key>" SECRET_KEY = "<your_binance_secret_key>" result_df = calculate_daily_pnl(API_KEY, SECRET_KEY) print(result_df) ``` 这段脚本首先初始化了一个通往Binance交易平台的网关实例，并设置了必要的认证参数以便访问私有的用户端点。接着定义了辅助功能用于筛选发生在当日内的活动。最后遍历每个涉及的市场对儿（即交易品种），汇总买入成本与现有仓位价值的变化量得出最终的日收益报告[^1]。