JUKUAN/Lib/future/FutureLeftSide_v001.py

# 导入函数库
from jqdata import *
from jqdata import finance
import pandas as pd
import numpy as np
from datetime import date, datetime, timedelta, time
import re

# 期货左侧交易策略（带网格和对冲）v001
# 基于网格交易理念，结合左侧底仓建仓、网格交易和空头对冲三个策略组件
# 
# 交易逻辑分离：
# 1. 建仓逻辑：在开盘时执行（夜盘品种21:05，日盘品种09:05）
#    - 底仓左侧多头：档位价格>=当前价用市价单，否则挂最高两档限价单
#    - 网格多头：目标价格>=当前价用市价单，否则挂最高两档限价单
#    - 空头对冲：永远使用限价单
# 2. 平仓逻辑：在所有时间点执行（check_stop_profit_loss函数），包括止盈和止损

# 设置以便完整打印 DataFrame
pd.set_option('display.max_rows', None)
pd.set_option('display.max_columns', None)
pd.set_option('display.width', None)
pd.set_option('display.max_colwidth', 20)

## 初始化函数，设定基准等等
def initialize(context):
    # 设定沪深300作为基准
    set_benchmark('000300.XSHG')
    # 开启动态复权模式(真实价格)
    set_option('use_real_price', True)
    # 输出内容到日志
    log.info('期货左侧交易策略（带网格和对冲）初始化开始')

    ### 期货相关设定 ###
    # 设定账户为金融账户
    set_subportfolios([SubPortfolioConfig(cash=context.portfolio.starting_cash, type='index_futures')])
    # 期货类每笔交易时的手续费是: 买入时万分之0.23,卖出时万分之0.23,平今仓为万分之23
    set_order_cost(OrderCost(open_commission=0.000023, close_commission=0.000023, close_today_commission=0.0023), type='index_futures')
    
    # 设置期货交易的滑点
    set_slippage(StepRelatedSlippage(2))
    
    # ==================== 策略组件开关配置 ====================
    g.enable_grid_long = True  # 是否启用网格多头策略组件
    g.enable_hedge_short = True  # 是否启用空头对冲策略组件
    # 注意：底仓左侧多头始终启用
    
    # ==================== 资金管理配置 ====================
    g.usage_percentage = 0.8  # 最大资金使用比例
    g.max_margin_per_position = 20000  # 单个标的最大持仓保证金（元）
    
    # ==================== 交易品种配置 ====================
    # 期货品种完整配置字典
    g.futures_config = {
        # 贵金属（夜盘品种）
        'AU': {'margin_rate': {'long': 0.14, 'short': 0.14}, 'multiplier': 1000, 'trading_start_time': '21:00'},
        'AG': {'margin_rate': {'long': 0.14, 'short': 0.14}, 'multiplier': 15, 'trading_start_time': '21:00'},
        
        # 有色金属（夜盘品种）
        'CU': {'margin_rate': {'long': 0.09, 'short': 0.09}, 'multiplier': 5, 'trading_start_time': '21:00'},
        'AL': {'margin_rate': {'long': 0.09, 'short': 0.09}, 'multiplier': 5, 'trading_start_time': '21:00'},
        'ZN': {'margin_rate': {'long': 0.09, 'short': 0.09}, 'multiplier': 5, 'trading_start_time': '21:00'},
        'PB': {'margin_rate': {'long': 0.09, 'short': 0.09}, 'multiplier': 5, 'trading_start_time': '21:00'},
        'NI': {'margin_rate': {'long': 0.12, 'short': 0.12}, 'multiplier': 1, 'trading_start_time': '21:00'},
        'SN': {'margin_rate': {'long': 0.12, 'short': 0.12}, 'multiplier': 1, 'trading_start_time': '21:00'},
        'SS': {'margin_rate': {'long': 0.07, 'short': 0.07}, 'multiplier': 5, 'trading_start_time': '21:00'},
        
        # 黑色系（夜盘品种）
        'RB': {'margin_rate': {'long': 0.07, 'short': 0.07}, 'multiplier': 10, 'trading_start_time': '21:00'},
        'HC': {'margin_rate': {'long': 0.07, 'short': 0.07}, 'multiplier': 10, 'trading_start_time': '21:00'},
        'I': {'margin_rate': {'long': 0.1, 'short': 0.1}, 'multiplier': 100, 'trading_start_time': '21:00'},
        'JM': {'margin_rate': {'long': 0.22, 'short': 0.22}, 'multiplier': 100, 'trading_start_time': '21:00'},
        'J': {'margin_rate': {'long': 0.22, 'short': 0.22}, 'multiplier': 60, 'trading_start_time': '21:00'},
        
        # 能源化工（夜盘品种）
        'SP': {'margin_rate': {'long': 0.1, 'short': 0.1}, 'multiplier': 10, 'trading_start_time': '21:00'},
        'FU': {'margin_rate': {'long': 0.08, 'short': 0.08}, 'multiplier': 10, 'trading_start_time': '21:00'},
        'BU': {'margin_rate': {'long': 0.04, 'short': 0.04}, 'multiplier': 10, 'trading_start_time': '21:00'},
        'RU': {'margin_rate': {'long': 0.05, 'short': 0.05}, 'multiplier': 10, 'trading_start_time': '21:00'},
        'BR': {'margin_rate': {'long': 0.07, 'short': 0.07}, 'multiplier': 5, 'trading_start_time': '21:00'},
        'SC': {'margin_rate': {'long': 0.12, 'short': 0.12}, 'multiplier': 1000, 'trading_start_time': '21:00'},
        'NR': {'margin_rate': {'long': 0.13, 'short': 0.13}, 'multiplier': 10, 'trading_start_time': '21:00'},
        'LU': {'margin_rate': {'long': 0.15, 'short': 0.15}, 'multiplier': 10, 'trading_start_time': '21:00'},
        'LC': {'margin_rate': {'long': 0.1, 'short': 0.1}, 'multiplier': 1, 'trading_start_time': '09:00'},
        
        # 化工（夜盘品种）
        'FG': {'margin_rate': {'long': 0.05, 'short': 0.05}, 'multiplier': 20, 'trading_start_time': '21:00'},
        'TA': {'margin_rate': {'long': 0.05, 'short': 0.05}, 'multiplier': 5, 'trading_start_time': '21:00'},
        'MA': {'margin_rate': {'long': 0.05, 'short': 0.05}, 'multiplier': 10, 'trading_start_time': '21:00'},
        'SA': {'margin_rate': {'long': 0.05, 'short': 0.05}, 'multiplier': 20, 'trading_start_time': '21:00'},
        'L': {'margin_rate': {'long': 0.07, 'short': 0.07}, 'multiplier': 5, 'trading_start_time': '21:00'},
        'V': {'margin_rate': {'long': 0.07, 'short': 0.07}, 'multiplier': 5, 'trading_start_time': '21:00'},
        'EG': {'margin_rate': {'long': 0.05, 'short': 0.05}, 'multiplier': 10, 'trading_start_time': '21:00'},
        'PP': {'margin_rate': {'long': 0.07, 'short': 0.07}, 'multiplier': 5, 'trading_start_time': '21:00'},
        'EB': {'margin_rate': {'long': 0.12, 'short': 0.12}, 'multiplier': 5, 'trading_start_time': '21:00'},
        'PG': {'margin_rate': {'long': 0.05, 'short': 0.05}, 'multiplier': 20, 'trading_start_time': '21:00'},
        
        # 农产品（夜盘品种）
        'RM': {'margin_rate': {'long': 0.05, 'short': 0.05}, 'multiplier': 10, 'trading_start_time': '21:00'},
        'OI': {'margin_rate': {'long': 0.05, 'short': 0.05}, 'multiplier': 10, 'trading_start_time': '21:00'},
        'CF': {'margin_rate': {'long': 0.05, 'short': 0.05}, 'multiplier': 5, 'trading_start_time': '21:00'},
        'SR': {'margin_rate': {'long': 0.05, 'short': 0.05}, 'multiplier': 10, 'trading_start_time': '21:00'},
        'PF': {'margin_rate': {'long': 0.1, 'short': 0.1}, 'multiplier': 5, 'trading_start_time': '21:00'},
        'C': {'margin_rate': {'long': 0.07, 'short': 0.07}, 'multiplier': 10, 'trading_start_time': '21:00'},
        'CS': {'margin_rate': {'long': 0.07, 'short': 0.07}, 'multiplier': 10, 'trading_start_time': '21:00'},
        'CY': {'margin_rate': {'long': 0.15, 'short': 0.15}, 'multiplier': 5, 'trading_start_time': '21:00'},
        'A': {'margin_rate': {'long': 0.07, 'short': 0.07}, 'multiplier': 10, 'trading_start_time': '21:00'},
        'B': {'margin_rate': {'long': 0.05, 'short': 0.05}, 'multiplier': 10, 'trading_start_time': '21:00'},
        'M': {'margin_rate': {'long': 0.07, 'short': 0.07}, 'multiplier': 10, 'trading_start_time': '21:00'},
        'Y': {'margin_rate': {'long': 0.05, 'short': 0.05}, 'multiplier': 10, 'trading_start_time': '21:00'},
        'P': {'margin_rate': {'long': 0.05, 'short': 0.05}, 'multiplier': 10, 'trading_start_time': '21:00'},
        
        # 股指期货（日盘品种，9:30开始交易）
        'IF': {'margin_rate': {'long': 0.08, 'short': 0.08}, 'multiplier': 300, 'trading_start_time': '09:30'},
        'IH': {'margin_rate': {'long': 0.08, 'short': 0.08}, 'multiplier': 300, 'trading_start_time': '09:30'},
        'IC': {'margin_rate': {'long': 0.08, 'short': 0.08}, 'multiplier': 200, 'trading_start_time': '09:30'},
        'IM': {'margin_rate': {'long': 0.08, 'short': 0.08}, 'multiplier': 200, 'trading_start_time': '09:30'},
        'TL': {'margin_rate': {'long': 0.01, 'short': 0.01}, 'multiplier': 10000, 'trading_start_time': '09:30'},
        
        # 其他日盘品种（9:00开始交易）
        'AP': {'margin_rate': {'long': 0.08, 'short': 0.08}, 'multiplier': 10, 'trading_start_time': '09:00'},
        'CJ': {'margin_rate': {'long': 0.09, 'short': 0.09}, 'multiplier': 5, 'trading_start_time': '09:00'},
        'PK': {'margin_rate': {'long': 0.05, 'short': 0.05}, 'multiplier': 5, 'trading_start_time': '09:00'},
        'JD': {'margin_rate': {'long': 0.07, 'short': 0.07}, 'multiplier': 10, 'trading_start_time': '09:00'},
        'LH': {'margin_rate': {'long': 0.1, 'short': 0.1}, 'multiplier': 16, 'trading_start_time': '09:00'},
        'UR': {'margin_rate': {'long': 0.05, 'short': 0.05}, 'multiplier': 20, 'trading_start_time': '21:00'}
    }
    
    # 策略品种选择配置
    g.strategy_focus_symbols = ['TL']  # 交易品种列表
    
    # ==================== 底仓左侧多头配置 ====================
    # 价格-数量网格：价格越低，买入手数越多
    g.base_position_grid = {
        'TL': {118: 1, 117: 1, 116: 1, 115: 1, 114: 2, 113: 2},
    }
    
    # 底仓退出价格（止盈）
    g.base_position_exit_price = {
        'TL': 121,
    }
    
    # ==================== 网格多头配置 ====================
    g.grid_config = {
        'TL': {
            'start_price': 118,      # 网格开始价格
            'grid_size': 1,          # 网格大小
            'quantity_per_grid': 1,  # 每网格数量
            'exit_grid_size': 1      # 退出网格大小
        },
    }
    
    # ==================== 空头对冲配置 ====================
    g.hedge_profit_pullback_pct = 0.003  # 止盈回撤百分比（0.3%）
    g.hedge_stoploss_pct = 0.01          # 止损百分比（1%）
    g.hedge_level1_recovery_pct = 0.30   # 一级止盈回升百分比（30%）
    g.hedge_level2_recovery_pct = 0.60   # 二级止盈回升百分比（60%）
    g.hedge_cost_area_pct = 0.02         # 成本区域百分比（2%）
    
    # ==================== 全局变量初始化 ====================
    # 持仓跟踪
    g.base_positions = {}      # 底仓持仓 {symbol: {level_key: {'entry_price': price, 'quantity': qty, 'entry_date': date}}}
    g.grid_positions = {}      # 网格持仓 {symbol: [{'entry_price': price, 'quantity': qty, 'target_price': target_price, 'entry_date': date}]}
    g.hedge_positions = {}     # 对冲持仓 {symbol: {level_key: {'entry_price': price, 'quantity': qty, 'entry_date': date}}}
    
    # 网格状态跟踪
    g.grid_buy_levels = {}     # 网格已建仓目标价集合 {symbol: set()}
    
    # 对冲状态跟踪
    g.hedge_state = {}         # {symbol: {'max_profit': 0, 'max_profit_price': 0, ...}}
    
    # 订单策略信息记录
    g.order_strategy_info = {} # {order_id: {'strategy_type': '策略类型', 'target_price': 价格}}
    
    # ==================== 定时任务设置 ====================
    # 日盘止损止盈检查（每个时间点）
    run_daily(check_open_positions, time='09:35:00', reference_security='IF1808.CCFX')
    run_daily(check_stop_profit_loss, time='10:05:00', reference_security='IF1808.CCFX')
    run_daily(check_stop_profit_loss, time='10:35:00', reference_security='IF1808.CCFX')
    run_daily(check_stop_profit_loss, time='11:05:00', reference_security='IF1808.CCFX')
    run_daily(check_stop_profit_loss, time='13:35:00', reference_security='IF1808.CCFX')
    run_daily(check_stop_profit_loss, time='14:05:00', reference_security='IF1808.CCFX')
    run_daily(check_stop_profit_loss, time='14:55:00', reference_security='IF1808.CCFX')
    
    # 建仓逻辑（开盘时执行：夜盘21:05，日盘09:05）
    run_daily(check_open_positions, time='21:05:00', reference_security='IF1808.CCFX')  # 夜盘品种
    run_daily(check_open_positions, time='09:05:00', reference_security='IF1808.CCFX')  # 日盘品种
    
    # 夜盘止损止盈检查（仅对有夜盘的品种）
    run_daily(check_stop_profit_loss, time='21:05:00', reference_security='IF1808.CCFX')
    run_daily(check_stop_profit_loss, time='21:35:00', reference_security='IF1808.CCFX')
    run_daily(check_stop_profit_loss, time='22:05:00', reference_security='IF1808.CCFX')
    
    # 收盘后
    run_daily(after_market_close, time='15:30:00', reference_security='IF1808.CCFX')
    
    log.info("=" * 50)
    log.info("策略组件配置:")
    log.info(f"  底仓左侧多头: 始终启用")
    log.info(f"  网格多头策略: {'启用' if g.enable_grid_long else '禁用'}")
    log.info(f"  空头对冲策略: {'启用' if g.enable_hedge_short else '禁用'}")
    log.info(f"交易品种: {g.strategy_focus_symbols}")
    log.info("=" * 50)

############################ 主程序执行函数 ###################################

def check_open_positions(context):
    """建仓检查函数（仅在14:35执行）"""
    log.info("=" * 60)
    log.info(f"执行建仓检查逻辑 - 时间: {context.current_dt}")
    log.info("=" * 60)

    # 先检查换月移仓
    switch_success, switch_failed = position_auto_switch(context)
    if switch_failed:
        log.info("检测到移仓换月失败，跳过后续建仓检查")
        for failed in switch_failed:
            log.info(f"换月失败详情: {failed}")
        return
    
    # 获取当前时间
    current_time = str(context.current_dt.time())[:2]
    
    # 筛选可交易品种（根据交易开始时间判断是否为夜盘品种）
    tradable_symbols = []
    for symbol in g.strategy_focus_symbols:
        is_night_symbol = is_night_session_symbol(symbol)
        if current_time in ('21', '22'):
            # 夜盘时间：只考虑夜盘品种
            if is_night_symbol:
                tradable_symbols.append(symbol)
        else:
            # 日盘时间：所有品种都可以交易
            tradable_symbols.append(symbol)
    
    if not tradable_symbols:
        log.info("当前时段无可交易品种")
        return
    
    log.info(f"可交易品种: {tradable_symbols}")
    
    # 对每个品种执行建仓检查
    for symbol in tradable_symbols:
        try:
            # 获取主力合约
            dominant_future = get_dominant_future(symbol)
            if not dominant_future:
                log.warning(f"{symbol} 未找到主力合约")
                continue
            
            # 获取当前价格
            current_data = get_current_data()[dominant_future]
            current_price = current_data.last_price
            
            log.info(f"建仓检查 - 品种: {symbol}, 主力合约: {dominant_future}, 当前价格: {current_price}")
            
            # 策略组件1: 底仓左侧多头建仓（始终启用）
            check_base_position_open(context, symbol, dominant_future, current_price)
            
            # 策略组件2: 网格多头建仓（可配置）
            if g.enable_grid_long:
                check_grid_trading_open(context, symbol, dominant_future, current_price)
            
            # 策略组件3: 空头对冲建仓（可配置）
            if g.enable_hedge_short:
                check_hedge_position_open(context, symbol, dominant_future, current_price)
            
        except Exception as e:
            log.warning(f"建仓检查处理{symbol}时出错: {str(e)}")
            continue

def check_stop_profit_loss(context):
    """止损止盈检查函数（所有时间点执行）"""
    # log.info("=" * 60)
    # log.info(f"执行止损止盈检查 - 时间: {context.current_dt}")
    # log.info("=" * 60)

    # 先检查换月移仓
    switch_success, switch_failed = position_auto_switch(context)
    if switch_failed:
        log.info("检测到移仓换月失败，跳过后续止盈止损检查")
        for failed in switch_failed:
            log.info(f"换月失败详情: {failed}")
        return
    
    # 获取当前时间
    current_dt = context.current_dt
    current_time = current_dt.time()
    current_time_str = current_dt.strftime("%H:%M:%S")
    in_night_session = current_time >= time(21, 0) or current_time < time(2, 30)
    in_day_session = time(9, 0) <= current_time <= time(15, 0)
    
    # 筛选可交易品种（根据交易开始时间判断是否为夜盘品种）
    tradable_symbols = []
    for symbol in g.strategy_focus_symbols:
        is_night_symbol = is_night_session_symbol(symbol)
        if not is_night_symbol:
            if in_night_session:
                log.info(f"{symbol} 为日盘合约，当前夜间时段 {current_time_str} 跳过止损止盈检查")
                continue
            if not in_day_session:
                log.info(f"{symbol} 为日盘合约，当前非交易时段 {current_time_str} 跳过止损止盈检查")
                continue
        else:
            if in_night_session:
                log.info(f"{symbol} 夜盘合约在夜间时段 {current_time_str} 执行止损止盈检查")
            elif not in_day_session:
                log.info(f"{symbol} 夜盘合约当前非活跃时段 {current_time_str} 仍执行止损止盈检查以覆盖全天风险")
        tradable_symbols.append(symbol)
    
    if not tradable_symbols:
        return
    
    # 对每个品种执行止损止盈检查
    for symbol in tradable_symbols:
        try:
            # 获取主力合约
            dominant_future = get_dominant_future(symbol)
            if not dominant_future:
                continue
            
            # 获取当前价格
            current_data = get_current_data()[dominant_future]
            current_price = current_data.last_price
            
            # 策略组件1: 底仓左侧多头止盈（始终启用）
            check_base_position_close(context, symbol, dominant_future, current_price)
            
            # 策略组件2: 网格多头止盈（可配置）
            if g.enable_grid_long:
                check_grid_trading_close(context, symbol, dominant_future, current_price)
            
            # 策略组件3: 空头对冲止损止盈（可配置）
            if g.enable_hedge_short:
                check_hedge_position_close(context, symbol, dominant_future, current_price)
            
        except Exception as e:
            log.warning(f"止损止盈检查处理{symbol}时出错: {str(e)}")
            continue

############################ 策略组件1: 底仓左侧多头 ###################################

def check_base_position_open(context, symbol, dominant_future, current_price):
    """检查底仓左侧多头建仓
    
    逻辑：
    1. 遍历所有未建仓的价格档位
    2. 如果档位价格 >= 当前价格：使用市价单立即成交
    3. 如果档位价格 < 当前价格：记录到待挂限价单列表
    4. 从待挂限价单列表中选择最高的两个档位挂限价单
    """
    
    # 时间检查：判断是否已达到该品种的交易开始时间
    if not is_trading_time_reached(context, symbol):
        log.info(f"底仓建仓跳过: {symbol} 未达到交易开始时间")
        return
    
    # 检查是否有底仓配置
    if symbol not in g.base_position_grid:
        return
    
    grid = g.base_position_grid[symbol]
    
    # 初始化持仓记录
    if dominant_future not in g.base_positions:
        g.base_positions[dominant_future] = {}
    
    log.info(f"底仓建仓检查: {symbol} 当前价格 {current_price}")
    log.info(f"底仓持仓: {g.base_positions[dominant_future]}")
    # 收集未建仓的档位
    market_order_levels = []  # 需要市价单的档位
    limit_order_levels = []   # 需要限价单的档位
    
    for price_level, quantity in sorted(grid.items(), reverse=True):
        level_key = f"{price_level}"
        
        # 跳过已建仓的档位
        if level_key in g.base_positions[dominant_future]:
            continue
        
        # 判断使用市价单还是限价单
        if price_level >= current_price:
            # 档位价格 >= 当前价格，使用市价单
            market_order_levels.append((price_level, quantity))
            log.info(f"  档位 {price_level}（{quantity}手）>= 当前价 {current_price}，将使用市价单")
        else:
            # 档位价格 < 当前价格，加入限价单候选
            limit_order_levels.append((price_level, quantity))
    
    # 执行市价单
    for price_level, quantity in market_order_levels:
        level_key = f"{price_level}"
        strategy_info = {'strategy_type': '基础左侧', 'target_price': price_level}
        success = open_position(context, dominant_future, quantity, 'long', 
                              f'底仓市价建仓(目标档位{price_level})', 
                              strategy_info=strategy_info)
        if success:
            # 获取实际成交价格（从订单记录中获取）
            actual_price = current_price  # 市价单按当前价记录
            g.base_positions[dominant_future][level_key] = {
                'entry_price': actual_price,
                'quantity': quantity,
                'entry_date': context.current_dt
            }
            log.info(f"底仓市价单成交: {symbol} 目标档位 {price_level}, 实际价格 {actual_price}, 数量 {quantity}")
    
    # 执行限价单（固定挂两个档位）
    if limit_order_levels:
        # 选择价格最高的两个档位
        top_two_levels = sorted(limit_order_levels, reverse=True)[:2]
        log.info(f"  准备挂限价单，候选档位: {[p for p, q in limit_order_levels]}, 选择最高两个: {[p for p, q in top_two_levels]}")
        
        for price_level, quantity in top_two_levels:
            level_key = f"{price_level}"
            strategy_info = {'strategy_type': '基础左侧', 'target_price': price_level}
            success = open_position(context, dominant_future, quantity, 'long', 
                                  f'底仓限价建仓@{price_level}', 
                                  limit_price=price_level,
                                  strategy_info=strategy_info)
            if success:
                g.base_positions[dominant_future][level_key] = {
                    'entry_price': price_level,  # 限价单按委托价记录
                    'quantity': quantity,
                    'entry_date': context.current_dt
                }
                log.info(f"底仓限价单挂单: {symbol} 档位 {price_level}, 数量 {quantity}")

def check_base_position_close(context, symbol, dominant_future, current_price):
    """检查底仓左侧多头平仓（止盈）"""
    
    # 时间检查：判断是否已达到该品种的交易开始时间
    if not is_trading_time_reached(context, symbol):
        log.info(f"底仓止盈跳过: {symbol} 未达到交易开始时间")
        return
    
    # 检查是否有底仓配置
    if symbol not in g.base_position_exit_price:
        return
    
    exit_price = g.base_position_exit_price.get(symbol)
    
    # 检查退出条件（止盈）
    if exit_price and current_price >= exit_price:
        # 检查是否有持仓需要平仓
        subportfolio = context.subportfolios[0]
        if dominant_future in subportfolio.long_positions:
            position = subportfolio.long_positions[dominant_future]
            if position.total_amount > 0:
                log.info(f"底仓触发止盈: {symbol} 当前价格 {current_price} >= 退出价格 {exit_price}")
                close_position(context, dominant_future, position.total_amount, 'long', '底仓止盈')
                if dominant_future in g.base_positions:
                    g.base_positions[dominant_future] = {}
                return

############################ 策略组件2: 网格多头策略 ###################################

def check_grid_trading_open(context, symbol, dominant_future, current_price):
    """检查网格多头建仓
    
    逻辑：
    1. 找出所有应该买入但未买入的网格层级
    2. 对于每个层级的目标价格：
       - 如果目标价格 >= 当前价格：使用市价单
       - 如果目标价格 < 当前价格：记录到待挂限价单列表
    3. 从待挂限价单列表中选择价格最高的两个层级挂限价单
    """
    
    # 时间检查：判断是否已达到该品种的交易开始时间
    if not is_trading_time_reached(context, symbol):
        log.info(f"网格建仓跳过: {symbol} 未达到交易开始时间")
        return
    
    # 检查是否有网格配置
    if symbol not in g.grid_config:
        return
    
    config = g.grid_config[symbol]
    start_price = config['start_price']
    grid_size = config['grid_size']
    quantity_per_grid = config['quantity_per_grid']
    
    # 初始化网格持仓记录
    if dominant_future not in g.grid_positions:
        g.grid_positions[dominant_future] = []
    if dominant_future not in g.grid_buy_levels:
        g.grid_buy_levels[dominant_future] = set()
    
    # 只在价格低于起始价格时才执行网格交易
    if current_price >= start_price:
        return
    
    log.info(f"网格建仓检查: {symbol} 当前价格 {current_price}, 起始价格 {start_price}")
    
    # 计算当前价格对应的最低网格档位数量
    max_grid_index = int((start_price - current_price) / grid_size)
    
    # 收集需要建仓的网格档位
    market_order_grids = []  # 需要市价单的网格
    limit_order_grids = []   # 需要限价单的网格
    
    # 遍历所有应该触发的网格档位（从0到max_grid_index）
    for grid_index in range(max_grid_index + 1):
        # 计算该档位的目标买入价格
        target_price = start_price - grid_index * grid_size

        # 跳过已经买入的目标价
        if target_price in g.grid_buy_levels[dominant_future]:
            continue

        grid_info = (grid_index, target_price)
        
        # 判断使用市价单还是限价单
        if target_price >= current_price:
            # 目标价格 >= 当前价格，使用市价单
            market_order_grids.append(grid_info)
            log.info(f"  网格目标价 {target_price} >= 当前价 {current_price}，将使用市价单 (档位索引 {grid_index})")
        else:
            # 目标价格 < 当前价格，加入限价单候选
            limit_order_grids.append(grid_info)
    
    # 执行市价单
    for _, target_price in market_order_grids:
        strategy_info = {'strategy_type': '网格', 'target_price': target_price}
        success = open_position(context, dominant_future, quantity_per_grid, 'long', 
                              f'网格市价买入(目标价{target_price})',
                              strategy_info=strategy_info)
        if success:
            # 市价单按实际成交价记录（这里用当前价近似）
            g.grid_positions[dominant_future].append({
                'entry_price': current_price,
                'quantity': quantity_per_grid,
                'target_price': target_price,
                'entry_date': context.current_dt
            })
            g.grid_buy_levels[dominant_future].add(target_price)
            log.info(f"网格市价单成交: {symbol} 目标价 {target_price}, 实际价 {current_price}, 数量 {quantity_per_grid}")
    
    # 执行限价单（固定挂两个层级）
    if limit_order_grids:
        # 选择价格最高的两个目标价（档位数越小价格越高）
        top_two_grids = sorted(limit_order_grids, key=lambda x: x[1], reverse=True)[:2]
        log.info(f"  准备挂限价单，候选目标价: {[(l, p) for l, p in limit_order_grids]}, 选择最高两个: {[(l, p) for l, p in top_two_grids]}")

        for _, target_price in top_two_grids:
            strategy_info = {'strategy_type': '网格', 'target_price': target_price}
            success = open_position(context, dominant_future, quantity_per_grid, 'long', 
                                  f'网格限价买入@目标价{target_price}', 
                                  limit_price=target_price,
                                  strategy_info=strategy_info)
            if success:
                g.grid_positions[dominant_future].append({
                    'entry_price': target_price,  # 限价单按委托价记录
                    'quantity': quantity_per_grid,
                    'target_price': target_price,
                    'entry_date': context.current_dt
                })
                g.grid_buy_levels[dominant_future].add(target_price)
                log.info(f"网格限价单挂单: {symbol} 目标价 {target_price}, 数量 {quantity_per_grid}")

def check_grid_trading_close(context, symbol, dominant_future, current_price):
    """检查网格多头平仓（止盈）"""
    
    # 时间检查：判断是否已达到该品种的交易开始时间
    if not is_trading_time_reached(context, symbol):
        log.info(f"网格止盈跳过: {symbol} 未达到交易开始时间")
        return
    
    # 检查是否有网格配置
    if symbol not in g.grid_config:
        return
    
    config = g.grid_config[symbol]
    exit_grid_size = config['exit_grid_size']
    
    # 初始化网格持仓记录
    if dominant_future not in g.grid_positions:
        g.grid_positions[dominant_future] = []
    if dominant_future not in g.grid_buy_levels:
        g.grid_buy_levels[dominant_future] = set()
    
    # 检查卖出条件：对每个持仓检查是否达到退出条件
    positions_to_remove = []
    for i, position in enumerate(g.grid_positions[dominant_future]):
        target_price = position['target_price']
        exit_price = target_price + exit_grid_size
        if current_price >= exit_price:
            # 执行网格卖出
            success = close_position(context, dominant_future, position['quantity'], 'long', 
                                   f'网格卖出@目标价{target_price}')
            if success:
                profit_per_unit = current_price - position['entry_price']
                log.info(f"网格卖出: {symbol} 目标价 {target_price}, 计划退出价 {exit_price}, "
                        f"买入价 {position['entry_price']}, 卖出价 {current_price}, "
                        f"盈利 {profit_per_unit * position['quantity'] * get_multiplier(symbol)}")
                positions_to_remove.append(i)
                # 移除该网格目标价标记，允许重新买入
                if target_price in g.grid_buy_levels[dominant_future]:
                    g.grid_buy_levels[dominant_future].remove(target_price)
    
    # 移除已平仓的网格持仓记录
    for i in reversed(positions_to_remove):
        g.grid_positions[dominant_future].pop(i)

############################ 策略组件3: 空头对冲策略 ###################################

def check_hedge_position_open(context, symbol, dominant_future, current_price):
    """检查空头对冲建仓
    
    对冲逻辑：
    1. 对冲数量只对应基础左侧持仓，不包括网格持仓
    2. 对冲永远使用限价单，价格为各档位的目标价格
    3. 针对每个基础左侧档位分别建立对应的空头对冲单
    """
    
    # 时间检查：判断是否已达到该品种的交易开始时间
    if not is_trading_time_reached(context, symbol):
        log.info(f"对冲建仓跳过: {symbol} 未达到交易开始时间")
        return
    
    # 初始化对冲状态
    if dominant_future not in g.hedge_state:
        g.hedge_state[dominant_future] = {
            'max_profit': 0,
            'max_profit_price': 0,
            'profit_stage': 0  # 0: 未盈利, 1: 一级盈利, 2: 二级盈利
        }
    
    # 初始化对冲持仓记录
    if dominant_future not in g.hedge_positions:
        g.hedge_positions[dominant_future] = {}
    
    # 检查是否有底仓持仓（作为建立对冲的条件）
    if dominant_future not in g.base_positions or not g.base_positions[dominant_future]:
        log.info(f"对冲建仓检查: {symbol} 当前无基础左侧持仓，无需对冲")
        return
    
    log.info(f"对冲建仓检查: {symbol} 当前价格 {current_price}")
    
    # 针对每个基础左侧档位建立对应的对冲单
    for level_key, position_info in g.base_positions[dominant_future].items():
        # 跳过已经建立对冲的档位
        if level_key in g.hedge_positions[dominant_future]:
            continue
        
        target_price = level_key # 目标价格本质就是对冲档位
        quantity = position_info['quantity']
        
        log.info(f"  对冲档位 {level_key}: 目标价格 {target_price}, 数量 {quantity}手")
        
        # 建立空头对冲（永远使用限价单，价格为档位目标价）
        strategy_info = {'strategy_type': '对冲', 'target_price': target_price}
        success = open_position(context, dominant_future, quantity, 'short', 
                              f'建立空头对冲@{target_price}', 
                              limit_price=target_price,
                              strategy_info=strategy_info)
        if success:
            try:
                entry_price_value = float(target_price)
            except (TypeError, ValueError):
                log.error(f"对冲建仓记录失败: 档位 {level_key} 目标价无法转换为浮点数 -> {target_price}")
                entry_price_value = target_price
            g.hedge_positions[dominant_future][level_key] = {
                'entry_price': entry_price_value,
                'quantity': quantity,
                'entry_date': context.current_dt
            }
            log.info(f"对冲限价单挂单: {symbol} 档位 {level_key}, 价格 {target_price}, 数量 {quantity}手")

def check_hedge_position_close(context, symbol, dominant_future, current_price):
    """检查空头对冲平仓（止损止盈）
    
    对冲平仓逻辑：
    1. 分别检查每个档位的对冲持仓
    2. 每个档位独立计算盈亏和止损止盈条件
    """
    
    # 时间检查：判断是否已达到该品种的交易开始时间
    if not is_trading_time_reached(context, symbol):
        log.info(f"对冲止损止盈跳过: {symbol} 未达到交易开始时间")
        return
    
    # 检查是否已有对冲持仓记录
    if dominant_future not in g.hedge_positions or not g.hedge_positions[dominant_future]:
        return
    
    # 检查实际空头持仓
    subportfolio = context.subportfolios[0]
    has_hedge_position = dominant_future in subportfolio.short_positions and \
                        subportfolio.short_positions[dominant_future].total_amount > 0
    
    if not has_hedge_position:
        return
    
    # 遍历每个档位的对冲持仓
    levels_to_remove = []
    for level_key, hedge_info in g.hedge_positions[dominant_future].items():
        try:
            entry_price = float(hedge_info['entry_price'])
        except (TypeError, ValueError):
            log.error(f"对冲止损止盈计算失败: 档位 {level_key} 入场价无法转换为浮点数 -> {hedge_info.get('entry_price')}")
            continue
        quantity = hedge_info['quantity']
        
        # 计算当前盈亏率（空头：入场价格 > 当前价格为盈利）
        profit_rate = (entry_price - current_price) / entry_price
        
        # 更新最大盈利
        if profit_rate > g.hedge_state[dominant_future]['max_profit']:
            g.hedge_state[dominant_future]['max_profit'] = profit_rate
            g.hedge_state[dominant_future]['max_profit_price'] = current_price
            
            # 更新盈利阶段
            if profit_rate >= g.hedge_level2_recovery_pct * g.hedge_profit_pullback_pct:
                g.hedge_state[dominant_future]['profit_stage'] = 2
            elif profit_rate >= g.hedge_level1_recovery_pct * g.hedge_profit_pullback_pct:
                g.hedge_state[dominant_future]['profit_stage'] = 1
        
        # 检查止损条件
        if profit_rate <= -g.hedge_stoploss_pct:
            log.info(f"对冲触发止损: {symbol} 档位 {level_key}, 入场价 {entry_price}, 亏损率 {profit_rate:.2%}")
            close_position(context, dominant_future, quantity, 'short', f'对冲止损@档位{level_key}')
            levels_to_remove.append(level_key)
            continue
        
        # 检查回撤止盈条件
        max_profit = g.hedge_state[dominant_future]['max_profit']
        profit_drawdown = max_profit - profit_rate
        
        if profit_drawdown >= g.hedge_profit_pullback_pct:
            log.info(f"对冲触发回撤止盈: {symbol} 档位 {level_key}, 最大盈利 {max_profit:.2%}, "
                    f"当前盈利 {profit_rate:.2%}, 回撤 {profit_drawdown:.2%}")
            close_position(context, dominant_future, quantity, 'short', f'对冲回撤止盈@档位{level_key}')
            levels_to_remove.append(level_key)
            continue
        
        # 检查成本区域止盈条件
        if abs(profit_rate) <= g.hedge_cost_area_pct:
            profit_stage = g.hedge_state[dominant_future]['profit_stage']
            if profit_stage >= 1:  # 曾经达到过一级或二级盈利
                log.info(f"对冲触发成本区域止盈: {symbol} 档位 {level_key}, 当前盈利 {profit_rate:.2%} "
                        f"在成本区域内，曾达到盈利阶段 {profit_stage}")
                close_position(context, dominant_future, quantity, 'short', f'对冲成本区域止盈@档位{level_key}')
                levels_to_remove.append(level_key)
                continue
    
    # 移除已平仓的档位
    for level_key in levels_to_remove:
        del g.hedge_positions[dominant_future][level_key]
    
    # 如果所有对冲持仓都已平仓，重置对冲状态
    if not g.hedge_positions[dominant_future]:
        g.hedge_state[dominant_future] = {'max_profit': 0, 'max_profit_price': 0, 'profit_stage': 0}

############################ 交易执行函数 ###################################

def open_position(context, security, quantity, direction, reason='', limit_price=None, strategy_info=None):
    """开仓
    
    Args:
        context: 上下文对象
        security: 合约代码
        quantity: 开仓数量
        direction: 方向 ('long' 或 'short')
        reason: 开仓原因
        limit_price: 限价单价格，None表示使用市价单
        strategy_info: 策略信息字典 {'strategy_type': '策略类型', 'target_price': 目标价格}
        
    注：订单提交后filled=0，实际成交信息需要在收盘后通过get_trades()获取
    """
    try:
        order_type = "限价单" if limit_price is not None else "市价单"
        price_info = f"@{limit_price}" if limit_price is not None else ""
        log.info(f"提交开仓订单: {security} {direction} {quantity}手 {order_type}{price_info} - {reason}")
        
        # 使用order按手数开仓（避免order_target取消之前的未完成订单）
        # 根据是否有限价选择订单类型
        if limit_price is not None:
            order_obj = order(security, quantity, LimitOrderStyle(limit_price), side=direction)
        else:
            order_obj = order(security, quantity, side=direction)
        
        if order_obj is not None:
            log.info(f"订单已提交: order_id={order_obj.order_id}, 状态={order_obj.status}, "
                    f"已成交={order_obj.filled}/{quantity}手")
            
            # 保存策略信息到订单记录中，用于收盘后的汇总显示
            if strategy_info:
                if not hasattr(g, 'order_strategy_info'):
                    g.order_strategy_info = {}
                g.order_strategy_info[order_obj.order_id] = strategy_info
                log.info(f"订单策略信息已记录: {strategy_info}")
            
            return True
        else:
            log.warning(f"订单提交失败: {security} {direction} {quantity}手")
            return False
            
    except Exception as e:
        log.warning(f"开仓异常 {security}: {str(e)}")
    
    return False

def close_position(context, security, quantity, direction, reason=''):
    """平仓
    
    注：平仓使用order_target是安全的，因为通常不会有多个平仓订单同时进行
    订单提交后filled=0，实际成交信息需要在收盘后通过get_trades()获取
    """
    try:
        log.info(f"提交平仓订单: {security} {direction} {quantity}手 - {reason}")
        
        # 使用order_target平仓
        subportfolio = context.subportfolios[0]
        current_position = 0
        if direction == 'long' and security in subportfolio.long_positions:
            current_position = subportfolio.long_positions[security].total_amount
        elif direction == 'short' and security in subportfolio.short_positions:
            current_position = subportfolio.short_positions[security].total_amount
        
        target_quantity = max(0, current_position - quantity)
        order_obj = order_target(security, target_quantity, side=direction)
        
        if order_obj is not None:
            log.info(f"平仓订单已提交: order_id={order_obj.order_id}, 状态={order_obj.status}, "
                    f"已成交={order_obj.filled}/{quantity}手")
            return True
        else:
            log.warning(f"平仓订单提交失败: {security} {direction} {quantity}手")
            return False
            
    except Exception as e:
        log.warning(f"平仓异常 {security}: {str(e)}")
    
    return False

############################ 辅助函数 ###################################

def get_futures_config(underlying_symbol, config_key=None, default_value=None):
    """获取期货品种配置信息的辅助函数"""
    if underlying_symbol not in g.futures_config:
        if config_key and default_value is not None:
            return default_value
        return {}
    
    if config_key is None:
        return g.futures_config[underlying_symbol]
    
    return g.futures_config[underlying_symbol].get(config_key, default_value)

def is_night_session_symbol(symbol):
    """判断品种是否为夜盘品种
    
    Args:
        symbol: 期货品种代码（如'IF'、'AU'等）
    
    Returns:
        bool: True表示夜盘品种，False表示日盘品种
    """
    trading_start_time = get_futures_config(symbol, 'trading_start_time', '09:00')
    
    # 解析配置的时间
    try:
        start_hour, _ = map(int, trading_start_time.split(':'))
        # 如果开始时间 >= 21:00，则为夜盘品种
        return start_hour >= 21
    except (ValueError, AttributeError):
        log.warning(f"{symbol} 交易开始时间配置格式错误: {trading_start_time}，默认判断为日盘品种")
        return False

def is_trading_time_reached(context, symbol):
    """判断当前时间是否已达到该品种的交易开始时间
    
    Args:
        context: 上下文对象
        symbol: 期货品种代码（如'IF'、'AU'等）
    
    Returns:
        bool: True表示已达到交易时间，False表示未达到
    """
    # 获取配置的交易开始时间
    trading_start_time = get_futures_config(symbol, 'trading_start_time', '09:05')
    
    # 解析配置的时间（格式为 "HH:MM"）
    try:
        start_hour, start_minute = map(int, trading_start_time.split(':'))
        configured_start_time = time(start_hour, start_minute)
    except (ValueError, AttributeError):
        log.warning(f"{symbol} 交易开始时间配置格式错误: {trading_start_time}，默认使用09:05")
        configured_start_time = time(9, 5)
    
    # 获取当前时间
    current_time = context.current_dt.time()
    
    # 判断逻辑：
    # 1. 如果配置时间是夜盘时间（>=21:00），且当前时间也在夜盘时段（>=21:00 或 <03:00），直接比较
    # 2. 如果配置时间是日盘时间（<21:00），且当前时间也在日盘时段（09:00-15:00），直接比较
    # 3. 其他情况返回False（例如日盘品种在夜盘时段）
    
    is_night_start = configured_start_time >= time(21, 0)
    is_current_night = current_time >= time(21, 0) or current_time < time(3, 0)
    is_current_day = time(9, 0) <= current_time <= time(15, 0)
    
    if is_night_start:
        # 配置为夜盘开始时间
        if is_current_night:
            # 当前也在夜盘时段
            if current_time >= time(21, 0):
                # 当前在21:00之后
                result = current_time >= configured_start_time
            else:
                # 当前在凌晨（已经过了配置的开始时间）
                result = True
            log.info(f"[时间检查] {symbol} 配置夜盘开始 {trading_start_time}, 当前时间 {current_time.strftime('%H:%M:%S')}, 判断结果: {result}")
            return result
        elif is_current_day:
            # 夜盘品种在日盘时段，允许交易
            log.info(f"[时间检查] {symbol} 夜盘品种在日盘时段 {current_time.strftime('%H:%M:%S')}, 允许交易")
            return True
        else:
            # 其他时段不允许交易
            log.info(f"[时间检查] {symbol} 夜盘品种在非交易时段 {current_time.strftime('%H:%M:%S')}, 不允许交易")
            return False
    else:
        # 配置为日盘开始时间
        if is_current_night:
            # 日盘品种在夜盘时段，不允许交易
            # log.debug(f"[时间检查] {symbol} 日盘品种在夜盘时段 {current_time.strftime('%H:%M:%S')}, 不允许交易")
            return False
        elif is_current_day:
            # 当前在日盘时段，比较时间
            result = current_time >= configured_start_time
            # log.debug(f"[时间检查] {symbol} 配置日盘开始 {trading_start_time}, 当前时间 {current_time.strftime('%H:%M:%S')}, 判断结果: {result}")
            return result
        else:
            # 其他时段（如午休、收盘后）不允许建仓，但允许止盈止损
            # log.debug(f"[时间检查] {symbol} 日盘品种在非开盘时段 {current_time.strftime('%H:%M:%S')}, 不允许交易")
            return False

def get_margin_rate(underlying_symbol, direction, default_rate=0.10):
    """获取保证金比例的辅助函数"""
    return g.futures_config.get(underlying_symbol, {}).get('margin_rate', {}).get(direction, default_rate)

def get_multiplier(underlying_symbol, default_multiplier=10):
    """获取合约乘数的辅助函数"""
    return g.futures_config.get(underlying_symbol, {}).get('multiplier', default_multiplier)

def after_market_close(context):
    """收盘后运行函数
    
    使用get_trades()获取当日所有成交记录
    使用get_open_orders()获取所有未成交订单
    """
    log.info(str('函数运行时间(after_market_close):'+str(context.current_dt.time())))
    
    # 获取当日所有成交记录
    trades = get_trades()
    
    # 获取当日所有未完成订单
    open_orders = get_open_orders()
    
    # 打印交易汇总
    print_daily_trading_summary(context, trades, open_orders)
    
    log.info('##############################################################')

def print_daily_trading_summary(context, trades, open_orders):
    """打印当日交易汇总
    
    Args:
        context: 上下文对象
        trades: 当日成交记录字典 {trade_id: UserTrade对象}
        open_orders: 未完成订单字典 {order_id: Order对象}
        
    注：UserTrade对象只有基本属性(trade_id, order_id, time, amount, price)
        需要通过order_id关联订单来获取完整信息
    """
    log.info("=" * 60)
    log.info("当日交易汇总")
    log.info("=" * 60)
    current_data = {}
    try:
        current_data = get_current_data()
    except Exception as e:
        log.warning(f"获取当前行情数据失败: {str(e)}")
        current_data = {}

    def format_datetime_value(dt_value):
        if hasattr(dt_value, 'to_pydatetime'):
            dt_value = dt_value.to_pydatetime()
        if isinstance(dt_value, datetime):
            return dt_value.strftime('%Y-%m-%d %H:%M:%S')
        if isinstance(dt_value, date):
            return datetime.combine(dt_value, datetime.min.time()).strftime('%Y-%m-%d %H:%M:%S')
        return str(dt_value) if dt_value is not None else ''
    
    # 统计成交记录
    if trades:
        log.info(f"\n【成交记录】共 {len(trades)} 笔")
        log.info("-" * 60)
        
        # 获取所有订单（包括已完成和未完成的）用于关联成交记录
        all_orders = get_orders()
        
        for trade_id, trade in trades.items():
            # 从trade获取基本信息
            security = None
            
            # 尝试通过order_id获取订单信息
            order_info = None
            if hasattr(trade, 'order_id') and trade.order_id in all_orders:
                order_info = all_orders[trade.order_id]
                security = order_info.security
            
            # 如果无法获取security，跳过这条记录
            trade_time = getattr(trade, 'time', None)
            trade_datetime_str = format_datetime_value(trade_time)

            if not security:
                log.info(f"成交记录 trade_id={trade_id}: {trade.amount}手 @{trade.price:.2f} "
                        f"成交日期时间:{trade_datetime_str} (无法获取详细信息)")
                continue
            
            underlying_symbol = security.split('.')[0][:-4]
            dominant_code = None
            if hasattr(g, 'dominant_contracts'):
                dominant_code = g.dominant_contracts.get(underlying_symbol)
            display_symbol = dominant_code if dominant_code else security.split('.')[0]
            
            # 从订单获取action和side信息
            if order_info:
                action_str = "开仓" if order_info.action == "open" else "平仓"
                side_str = "多" if order_info.side == "long" else "空"
                
                # 获取策略信息
                strategy_str = ""
                if hasattr(g, 'order_strategy_info') and trade.order_id in g.order_strategy_info:
                    strategy_info = g.order_strategy_info[trade.order_id]
                    strategy_type = strategy_info.get('strategy_type', '未知')
                    target_price = strategy_info.get('target_price', 0)
                    strategy_str = f", 策略:{strategy_type}, 策略对应价格:{target_price}"
                
                # 获取当前价格
                try:
                    current_price = current_data[security].last_price
                except Exception:
                    current_price = 0
                
                log.info(f"{action_str}{side_str}: {display_symbol}, "
                            f"数量:{trade.amount}手, 成交价:{trade.price:.2f}{strategy_str}, "
                            f"标的价格:{current_price:.2f}, "
                            f"成交日期时间:{trade_datetime_str}")
            else:
                log.info(f"成交: {underlying_symbol} {trade.amount}手 @{trade.price:.2f} "
                        f"成交日期时间:{trade_datetime_str}")
        
        log.info("-" * 60)
    else:
        log.info("\n【成交记录】无")
    
    # 统计未完成订单
    if open_orders:
        log.info(f"\n【未完成订单】共 {len(open_orders)} 个")
        log.info("-" * 60)
        
        for order_id, order_obj in open_orders.items():
            dominant_code = None
            try:
                underlying_symbol = order_obj.security.split('.')[0][:-4]
                full_symbol = order_obj.security.split('.')[0]
                if hasattr(g, 'dominant_contracts'):
                    dominant_code = g.dominant_contracts.get(underlying_symbol)
            except Exception:
                underlying_symbol = order_obj.security
            display_symbol = dominant_code if dominant_code else full_symbol
            action_str = "开仓" if order_obj.action == "open" else "平仓"
            side_str = "多" if order_obj.side == "long" else "空"
            
            # 判断订单类型
            order_type = "市价单"
            limit_price_str = ""
            if hasattr(order_obj, 'style') and order_obj.style:
                if hasattr(order_obj.style, 'limit_price') and order_obj.style.limit_price > 0:
                    order_type = "限价单"
                    limit_price_str = f" @{order_obj.style.limit_price:.2f}"
            
            log.info(f"{action_str}{side_str}: {display_symbol} "
                    f"{order_obj.amount}手 {order_type}{limit_price_str} "
                    f"状态:{order_obj.status}")
        
        log.info("-" * 60)
    else:
        log.info("\n【未完成订单】无")
    
    # 打印持仓信息
    log.info("\n【当前持仓】")
    log.info("-" * 60)
    subportfolio = context.subportfolios[0]
    holdings_logged = False
    
    for security, position in subportfolio.long_positions.items():
        if position.total_amount <= 0:
            continue
        underlying_symbol = security.split('.')[0][:-4]
        full_symbol = security.split('.')[0]
        dominant_code = None
        if hasattr(g, 'dominant_contracts'):
            dominant_code = g.dominant_contracts.get(underlying_symbol)
        display_symbol = dominant_code if dominant_code else full_symbol
        try:
            current_price = current_data[security].last_price
        except Exception:
            current_price = 0
        symbol_logged = False
        base_entries = g.base_positions.get(security, {}) if hasattr(g, 'base_positions') else {}
        for level_key, entry_info in sorted(base_entries.items()):
            quantity = entry_info.get('quantity', 0)
            if quantity <= 0:
                continue
            entry_price = float(entry_info.get('entry_price', 0))
            entry_date = entry_info.get('entry_date')
            # log.info(f"标的种类: {display_symbol}, 数量:{quantity}手, 成交价:{entry_price:.2f}, "
            #         f"策略:基础左侧, 策略对应价格:{level_key}, 当前标的价格:{current_price:.2f}, "
            #         f"成交日期时间: {format_datetime_value(entry_date)}")
            symbol_logged = True
            holdings_logged = True
        grid_entries = g.grid_positions.get(security, []) if hasattr(g, 'grid_positions') else []
        for entry_info in sorted(grid_entries, key=lambda x: x.get('target_price', 0), reverse=True):
            quantity = entry_info.get('quantity', 0)
            if quantity <= 0:
                continue
            entry_price = float(entry_info.get('entry_price', 0))
            target_price = entry_info.get('target_price', 0)
            entry_date = entry_info.get('entry_date')
            # log.info(f"标的种类: {display_symbol}, 数量:{quantity}手, 成交价:{entry_price:.2f}, "
            #         f"策略:网格, 策略对应价格:{target_price}, 当前标的价格:{current_price:.2f}, "
            #         f"成交日期时间: {format_datetime_value(entry_date)}")
            symbol_logged = True
            holdings_logged = True
        if not symbol_logged:
            # log.info(f"标的种类: {display_symbol}, 数量:{position.total_amount}手, 成交价:{position.avg_cost:.2f}, "
            #         f"策略:未分类, 策略对应价格:--, 当前标的价格:{current_price:.2f}, 成交日期时间: --")
            holdings_logged = True
    
    for security, position in subportfolio.short_positions.items():
        if position.total_amount <= 0:
            continue
        underlying_symbol = security.split('.')[0][:-4]
        dominant_code = None
        if hasattr(g, 'dominant_contracts'):
            dominant_code = g.dominant_contracts.get(underlying_symbol)
        display_symbol = dominant_code if dominant_code else full_symbol
        try:
            current_price = current_data[security].last_price
        except Exception:
            current_price = 0
        symbol_logged = False
        hedge_entries = g.hedge_positions.get(security, {}) if hasattr(g, 'hedge_positions') else {}
        for level_key, entry_info in sorted(hedge_entries.items()):
            quantity = entry_info.get('quantity', 0)
            if quantity <= 0:
                continue
            entry_price = float(entry_info.get('entry_price', 0))
            entry_date = entry_info.get('entry_date')
            log.info(f"标的种类: {display_symbol}, 数量:{quantity}手, 成交价:{entry_price:.2f}, "
                    f"策略:对冲, 策略对应价格:{level_key}, 当前标的价格:{current_price:.2f}, "
                    f"成交日期时间: {format_datetime_value(entry_date)}")
            symbol_logged = True
            holdings_logged = True
        if not symbol_logged:
            log.info(f"标的种类: {display_symbol}, 数量:{position.total_amount}手, 成交价:{position.avg_cost:.2f}, "
                    f"策略:未分类(空), 策略对应价格:--, 当前标的价格:{current_price:.2f}, 成交日期时间: --")
            holdings_logged = True
    
    if not holdings_logged:
        log.info("无持仓")
    
    log.info("-" * 60)
    log.info(f"账户总资产: {context.portfolio.total_value:.2f}")
    log.info(f"可用资金: {context.portfolio.available_cash:.2f}")
    log.info("=" * 60)

########################## 自动移仓换月函数 #################################
def position_auto_switch(context, pindex=0, switch_func=None, callback=None):
    """
    期货自动移仓换月。默认使用市价单进行开平仓。
    """
    import re
    subportfolio = context.subportfolios[pindex]
    symbols = set(subportfolio.long_positions.keys()) | set(subportfolio.short_positions.keys())
    switch_result = []
    switch_failed = []
    for symbol in symbols:
        match = re.match(r"(?P<underlying_symbol>[A-Z]{1,})", symbol)
        if not match:
            raise ValueError("未知期货标的: {}".format(symbol))
        else:
            underlying_symbol = match.groupdict()["underlying_symbol"]
            
            # 时间检查：判断是否已达到该品种的交易开始时间
            if not is_trading_time_reached(context, underlying_symbol):
                log.info(f"换月操作跳过: {underlying_symbol} 未达到交易开始时间")
                continue
            
            dominant = get_dominant_future(underlying_symbol)
            cur = get_current_data()
            symbol_last_price = cur[symbol].last_price
            dominant_last_price = cur[dominant].last_price
            # log.debug(f'检查换月中，当前持仓合约: {symbol}, 当前主力合约: {dominant}')
            
            if dominant > symbol:
                for positions_ in (subportfolio.long_positions, subportfolio.short_positions):
                    if symbol not in positions_.keys():
                        continue
                    else :
                        p = positions_[symbol]

                    if switch_func is not None:
                        switch_func(context, pindex, p, dominant)
                    else:
                        amount = p.total_amount
                        # 跌停不能开空和平多，涨停不能开多和平空。
                        if p.side == "long":
                            symbol_low_limit = cur[symbol].low_limit
                            dominant_high_limit = cur[dominant].high_limit
                            if symbol_last_price <= symbol_low_limit:
                                log.warning("标的{}跌停，无法平仓。移仓换月取消。".format(symbol))
                                switch_failed.append({"underlying": match.groupdict()["underlying_symbol"], "before": symbol, "after": dominant, "side": p.side, "reason": "limit_close_failed"})
                                break
                            elif dominant_last_price >= dominant_high_limit:
                                log.warning("标的{}涨停，无法开仓。移仓换月取消。".format(dominant))
                                switch_failed.append({"underlying": match.groupdict()["underlying_symbol"], "before": symbol, "after": dominant, "side": p.side, "reason": "limit_open_failed"})
                                break
                            else:
                                log.info("进行移仓换月: ({0},long) -> ({1},long)".format(symbol, dominant))
                                order_old = order_target(symbol, 0, side='long')
                                if order_old != None and order_old.filled > 0:
                                    order_new = order_target(dominant, amount, side='long')
                                    if order_new != None and order_new.filled > 0:
                                        switch_result.append({"before": symbol, "after": dominant, "side": "long"})
                                        # 换月成功，更新持仓记录
                                        update_positions_after_switch(symbol, dominant, 'long')
                                    else:
                                        log.warning("标的{}交易失败，无法开仓。移仓换月失败。".format(dominant))
                                        switch_failed.append({"underlying": match.groupdict()["underlying_symbol"], "before": symbol, "after": dominant, "side": p.side, "reason": "open_order_failed"})
                                        break
                                else:
                                    log.info("标的{}平仓委托未成交，移仓换月失败，等待下次重试。".format(symbol))
                                    switch_failed.append({"underlying": match.groupdict()["underlying_symbol"], "before": symbol, "after": dominant, "side": p.side, "reason": "close_order_not_filled"})
                                    break
                        if switch_failed:
                            break
                        if p.side == "short":
                            symbol_high_limit = cur[symbol].high_limit
                            dominant_low_limit = cur[dominant].low_limit
                            if symbol_last_price >= symbol_high_limit:
                                log.warning("标的{}涨停，无法平仓。移仓换月取消。".format(symbol))
                                switch_failed.append({"underlying": match.groupdict()["underlying_symbol"], "before": symbol, "after": dominant, "side": p.side, "reason": "limit_close_failed"})
                                break
                            elif dominant_last_price <= dominant_low_limit:
                                log.warning("标的{}跌停，无法开仓。移仓换月取消。".format(dominant))
                                switch_failed.append({"underlying": match.groupdict()["underlying_symbol"], "before": symbol, "after": dominant, "side": p.side, "reason": "limit_open_failed"})
                                break
                            else:
                                log.info("进行移仓换月: ({0},short) -> ({1},short)".format(symbol, dominant))
                                order_old = order_target(symbol, 0, side='short')
                                if order_old != None and order_old.filled > 0:
                                    order_new = order_target(dominant, amount, side='short')
                                    if order_new != None and order_new.filled > 0:
                                        switch_result.append({"before": symbol, "after": dominant, "side": "short"})
                                        # 换月成功，更新持仓记录
                                        update_positions_after_switch(symbol, dominant, 'short')
                                    else:
                                        log.warning("标的{}交易失败，无法开仓。移仓换月失败。".format(dominant))
                                        switch_failed.append({"underlying": match.groupdict()["underlying_symbol"], "before": symbol, "after": dominant, "side": p.side, "reason": "open_order_failed"})
                                        break
                                else:
                                    log.info("标的{}平仓委托未成交，移仓换月失败，等待下次重试。".format(symbol))
                                    switch_failed.append({"underlying": match.groupdict()["underlying_symbol"], "before": symbol, "after": dominant, "side": p.side, "reason": "close_order_not_filled"})
                                    break
                        if callback:
                            callback(context, pindex, p, dominant)
                        if switch_failed:
                            break
                if switch_failed:
                    break
        if switch_failed:
            break
    return switch_result, switch_failed

def update_positions_after_switch(old_symbol, new_symbol, side):
    """合约切换后更新持仓记录"""
    # 更新底仓持仓记录
    if old_symbol in g.base_positions:
        g.base_positions[new_symbol] = g.base_positions[old_symbol]
        del g.base_positions[old_symbol]
        log.info(f"底仓持仓记录更新: {old_symbol} -> {new_symbol}")
    
    # 更新网格持仓记录
    if old_symbol in g.grid_positions:
        g.grid_positions[new_symbol] = g.grid_positions[old_symbol]
        del g.grid_positions[old_symbol]
        log.info(f"网格持仓记录更新: {old_symbol} -> {new_symbol}")
    
    if old_symbol in g.grid_buy_levels:
        g.grid_buy_levels[new_symbol] = g.grid_buy_levels[old_symbol]
        del g.grid_buy_levels[old_symbol]
    
    # 更新对冲持仓记录
    if old_symbol in g.hedge_positions:
        g.hedge_positions[new_symbol] = g.hedge_positions[old_symbol]
        del g.hedge_positions[old_symbol]
        log.info(f"对冲持仓记录更新: {old_symbol} -> {new_symbol}")
    
    if old_symbol in g.hedge_state:
        g.hedge_state[new_symbol] = g.hedge_state[old_symbol]
        del g.hedge_state[old_symbol]