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829 lines (661 loc) · 35.2 KB
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"""
交易策略模块，实现具体的交易策略逻辑
优化版本：统一止盈止损逻辑，优先处理止损，支持模拟交易
"""
import time
import threading
from datetime import datetime
import pandas as pd
import numpy as np
import config
from logger import get_logger
from data_manager import get_data_manager
from indicator_calculator import get_indicator_calculator
from position_manager import get_position_manager
from trading_executor import get_trading_executor
from sell_strategy import SellStrategy
# 获取logger
logger = get_logger("strategy")
class TradingStrategy:
"""交易策略类，实现各种交易策略"""
def __init__(self):
"""初始化交易策略"""
self.data_manager = get_data_manager()
self.indicator_calculator = get_indicator_calculator()
self.position_manager = get_position_manager()
self.trading_executor = get_trading_executor()
# 初始化卖出策略
self.sell_strategy = SellStrategy()
# 策略运行线程
self.strategy_thread = None
self.stop_flag = False
# 防止频繁交易的冷却时间记录
self.last_trade_time = {}
# 已处理的止盈止损信号记录
self.processed_signals = set()
# 添加这行 - 重试计数器
self.retry_counts = {}
def init_grid_trading(self, stock_code):
"""
初始化网格交易
参数:
stock_code (str): 股票代码
返回:
bool: 是否初始
8000
成功
"""
try:
if not config.ENABLE_GRID_TRADING:
logger.info(f"网格交易功能未启用，跳过 {stock_code} 的网格初始化")
return False
# 获取持仓信息
position = self.position_manager.get_position(stock_code)
if not position:
logger.warning(f"未持有 {stock_code}，无法初始化网格交易")
return False
# 获取最新行情
latest_quote = self.data_manager.get_latest_data(stock_code)
if not latest_quote:
logger.error(f"未能获取 {stock_code} 的最新行情，无法初始化网格交易")
return False
current_price = latest_quote.get('lastPrice')
position_volume = position['volume']
# 清除旧的网格记录
# 这里需要在position_manager中添加一个清除网格交易的方法，暂时跳过
# 创建网格
grid_count = min(config.GRID_MAX_LEVELS, 5) # 最多创建5个网格
grid_volume = int(position_volume * config.GRID_POSITION_RATIO / grid_count)
if grid_volume < 100:
logger.warning(f"{stock_code} 持仓量不足，无法创建有效的网格交易")
return False
for i in range(grid_count):
# 买入价格递减，卖出价格递增
buy_price = current_price * (1 - config.GRID_STEP_RATIO * (i + 1))
sell_price = current_price * (1 + config.GRID_STEP_RATIO * (i + 1))
# 创建网格交易
grid_id = self.position_manager.add_grid_trade(
stock_code, i + 1, buy_price, sell_price, grid_volume
)
if grid_id < 0:
logger.error(f"创建 {stock_code} 的网格交易记录失败")
return False
logger.info(f"初始化 {stock_code} 的网格交易成功，创建了 {grid_count} 个网格")
return True
except Exception as e:
logger.error(f"初始化 {stock_code} 的网格交易时出错: {str(e)}")
return False
def execute_grid_trading(self, stock_code):
"""
执行网格交易策略
参数:
stock_code (str): 股票代码
返回:
bool: 是否执行成功
"""
try:
if not config.ENABLE_GRID_TRADING:
return False
# 检查是否有网格交易信号
grid_signals = self.position_manager.check_grid_trade_signals(stock_code)
# 处理买入信号
for signal in grid_signals['buy_signals']:
grid_id = signal['grid_id']
price = signal['price']
volume = signal['volume']
# 检查同一网格是否已经在冷却期
cool_key = f"grid_buy_{stock_code}_{grid_id}"
if cool_key in self.last_trade_time:
last_time = self.last_trade_time[cool_key]
if (datetime.now() - last_time).total_seconds() < 300: # 5分钟冷却期
logger.debug(f"{stock_code} 网格 {grid_id} 买入信号在冷却期内，跳过")
continue
# 执行买入
logger.info(f"执行 {stock_code} 网格 {grid_id} 买入，价格: {price}, 数量: {volume}")
order_id = self.trading_executor.buy_stock(stock_code, volume, price, strategy='grid')
if order_id:
# 更新网格状态为活跃
self.position_manager.update_grid_trade_status(grid_id, 'ACTIVE')
# 记录交易时间
self.last_trade_time[cool_key] = datetime.now()
# 处理卖出信号
for signal in grid_signals['sell_signals']:
grid_id = signal['grid_id']
price = signal['price']
volume = signal['volume']
# 检查同一网格是否已经在冷却期
cool_key = f"grid_sell_{stock_code}_{grid_id}"
if cool_key in self.last_trade_time:
last_time = self.last_trade_time[cool_key]
if (datetime.now() - last_time).total_seconds() < 300: # 5分钟冷却期
logger.debug(f"{stock_code} 网格 {grid_id} 卖出信号在冷却期内，跳过")
continue
# 执行卖出
logger.info(f"执行 {stock_code} 网格 {grid_id} 卖出，价格: {price}, 数量: {volume}")
order_id = self.trading_executor.sell_stock(stock_code, volume, price, strategy='grid')
if order_id:
# 更新网格状态为完成
self.position_manager.update_grid_trade_status(grid_id, 'COMPLETED')
# 记录交易时间
self.last_trade_time[cool_key] = datetime.now()
return True
except Exception as e:
logger.error(f"执行 {stock_code} 的网格交易时出错: {str(e)}")
return False
# ========== 新增：统一的止盈止损执行逻辑 ==========
def execute_trading_signal_direct(self, stock_code, signal_type, signal_info):
"""直接执行指定的交易信号"""
try:
if signal_type == 'stop_loss':
return self._execute_stop_loss_signal(stock_code, signal_info)
elif signal_type == 'take_profit_half':
return self._execute_take_profit_half_signal(stock_code, signal_info)
elif signal_type == 'take_profit_full':
return self._execute_take_profit_full_signal(stock_code, signal_info)
else:
logger.warning(f"未知的信号类型: {signal_type}")
return False
except Exception as e:
logger.error(f"执行 {stock_code} 的 {signal_type} 信号时出错: {str(e)}")
return False
# def execute_trading_signal(self, stock_code):
# """
# 执行统一的交易信号处理 - 优化版本
# 参数:
# stock_code (str): 股票代码
# 返回:
# bool: 是否执行了交易操作
# """
# try:
# # 使用统一的信号检查函数
# signal_type, signal_info = self.position_manager.check_trading_signals(stock_code)
# if not signal_type:
# return False
# # 检查是否已处理过该信号（防重复处理）
# signal_key = f"{signal_type}_{stock_code}_{datetime.now().strftime('%Y%m%d_%H')}"
# if signal_key in self.processed_signals:
# logger.debug(f"{stock_code} {signal_type} 信号已处理，跳过")
# return False
# logger.info(f"处理 {stock_code} 的 {signal_type} 信号")
# # 根据信号类型执行相应操作
# success = False
# if signal_type == 'stop_loss':
# success = self._execute_stop_loss_signal(stock_code, signal_info)
# elif signal_type == 'take_profit_half':
# success = self._execute_take_profit_half_signal(stock_code, signal_info)
# elif signal_type == 'take_profit_full':
# success = self._execute_take_profit_full_signal(stock_code, signal_info)
# if success:
# # 记录已处理信号
# self.processed_signals.add(signal_key)
# logger.info(f"{stock_code} {signal_type} 信号处理成功")
# return success
# except Exception as e:
# logger.error(f"执行 {stock_code} 的交易信号时出错: {str(e)}")
# return False
def _execute_stop_loss_signal(self, stock_code, signal_info):
"""
执行止损信号
参数:
stock_code (str): 股票代码
signal_info (dict): 信号详细信息
返回:
bool: 是否执行成功
"""
try:
volume = signal_info['volume']
current_price = signal_info['current_price']
logger.warning(f"执行 {stock_code} 止损操作，数量: {volume}, 当前价格: {current_price:.2f}")
# 检查是否为模拟交易模式
if hasattr(config, 'ENABLE_SIMULATION_MODE') and config.ENABLE_SIMULATION_MODE:
# 模拟交易：调用优化后的模拟卖出方法
success = self.position_manager.simulate_sell_position(
stock_code=stock_code,
sell_volume=volume,
sell_price=current_price,
sell_type='full'
)
if success:
logger.warning(f"[模拟交易] {stock_code} 止损执行完成，持仓已清零")
return success
else:
# 实盘交易：调用交易接口
logger.warning(f"[实盘交易] {stock_code} 止损信号已识别，执行实盘交易stop_loss")
# 实盘交易功能
order_id = self.trading_executor.sell_stock(
stock_code, volume, price_type=5, strategy='stop_loss'
)
return order_id is not None
return False # 暂时返回False，表示未执行实盘交易
except Exception as e:
logger.error(f"执行 {stock_code} 止损信号时出错: {str(e)}")
return False
def _execute_take_profit_half_signal(self, stock_code, signal_info):
"""
执行首次止盈信号（卖出半仓）
参数:
stock_code (str): 股票代码
signal_info (dict): 信号详细信息
返回:
bool: 是否执行成功
"""
try:
total_volume = signal_info['volume']
current_price = signal_info['current_price']
sell_ratio = signal_info['sell_ratio']
# 计算卖出数量
sell_volume = int(total_volume * sell_ratio / 100) * 100
sell_volume = max(sell_volume, 100) # 至少100股
logger.info(f"执行 {stock_code} 首次止盈，卖出半仓，数量: {sell_volume}, 价格: {current_price:.2f}")
# 检查是否为模拟交易模式
if hasattr(config, 'ENABLE_SIMULATION_MODE') and config.ENABLE_SIMULATION_MODE:
# 模拟交易：调用优化后的模拟卖出方法
success = self.position_manager.simulate_sell_position(
stock_code=stock_code,
sell_volume=sell_volume,
sell_price=current_price,
sell_type='partial'
)
if success:
# 验证执行结果
updated_position = self.position_manager.get_position(stock_code)
if updated_position and updated_position.get('profit_triggered'):
logger.info(f"[验证成功] {stock_code} 首次止盈执行完成并已标记")
return True
else:
logger.error(f"[验证失败] {stock_code} 首次止盈执行后状态异常")
return False
return success
else:
# 实盘交易：调用交易接口
logger.info(f"[实盘交易] {stock_code} 首次止盈信号已识别，执行实盘卖出交易take_profit_half")
# 实盘交易
order_id = self.trading_executor.sell_stock(
stock_code, sell_volume, price_type=5, strategy='auto_partial'
)
if order_id:
logger.info(f"[实盘交易] {stock_code} 首次止盈卖出委托已下达，委托号: {order_id}")
# 标记已触发首次止盈
mark_success = self.position_manager.mark_profit_triggered(stock_code)
if mark_success:
logger.info(f"[状态标记] {stock_code} profit_triggered已标记为True")
# 返回True表示整个止盈操作成功
return True
else:
logger.error(f"[状态标记] {stock_code} profit_triggered标记失败")
return False
else:
logger.error(f"[实盘交易] {stock_code} 首次止盈卖出委托下达失败")
return False
except Exception as e:
logger.error(f"执行 {stock_code} 首次止盈信号时出错: {str(e)}")
return False
def _execute_take_profit_full_signal(self, stock_code, signal_info):
"""
执行动态止盈信号（卖出剩余仓位）
参数:
stock_code (str): 股票代码
signal_info (dict): 信号详细信息
返回:
bool: 是否执行成功
"""
try:
volume = signal_info['volume']
current_price = signal_info['current_price']
dynamic_take_profit_price = signal_info['dynamic_take_profit_price']
logger.info(f"执行 {stock_code} 动态止盈，卖出剩余仓位，数量: {volume}, "
f"当前价格: {current_price:.2f}, 止盈位: {dynamic_take_profit_price:.2f}")
# 检查是否为模拟交易模式
if hasattr(config, 'ENABLE_SIMULATION_MODE') and config.ENABLE_SIMULATION_MODE:
# 模拟交易：直接调整持仓
success = self.position_manager.simulate_sell_position(
stock_code=stock_code,
sell_volume=volume,
sell_price=current_price,
sell_type='full'
)
if success:
logger.info(f"[模拟交易] {stock_code} 动态止盈执行完成，持仓已清零")
return success
else:
# 实盘交易：调用交易接口
logger.info(f"[实盘交易] {stock_code} 动态止盈信号已识别，执行实盘卖出交易take_profit_full")
# 实盘交易
order_id = self.trading_executor.sell_stock(
stock_code, volume, price_type=5, strategy='auto_full'
)
if order_id:
logger.info(f"[实盘交易] {stock_code} 止盈全仓卖出委托已下达，委托号: {order_id}")
return True
else:
logger.error(f"[实盘交易] {stock_code} 全仓止盈卖出委托下达失败")
return False
return False # 暂时返回False，表示未执行实盘交易
except Exception as e:
logger.error(f"执行 {stock_code} 动态全仓止盈信号时出错: {str(e)}")
return False
# ========== 向后兼容的旧版本接口 ==========
# def execute_stop_loss(self, stock_code):
# """
# 执行止损策略 - 向后兼容接口
# 参数:
# stock_code (str): 股票代码
# 返回:
# bool: 是否执行成功
# """
# try:
# # 使用新的统一信号检查
# signal_type, signal_info = self.position_manager.check_trading_signals(stock_code)
# if signal_type == 'stop_loss':
# # 检查是否已处理过该信号
# signal_key = f"stop_loss_{stock_code}_{datetime.now().strftime('%Y%m%d')}"
# if signal_key in self.processed_signals:
# logger.debug(f"{stock_code} 止损信号已处理，跳过")
# return False
# success = self._execute_stop_loss_signal(stock_code, signal_info)
# if success:
# self.processed_signals.add(signal_key)
# return success
# return False
# except Exception as e:
# logger.error(f"执行 {stock_code} 的止损策略时出错: {str(e)}")
# return False
# def execute_dynamic_take_profit(self, stock_code):
# """
# 执行动态止盈策略 - 向后兼容接口
# 参数:
# stock_code (str): 股票代码
# 返回:
# bool: 是否执行成功
# """
# try:
# # 使用新的统一信号检查
# signal_type, signal_info = self.position_manager.check_trading_signals(stock_code)
# if signal_type in ['take_profit_half', 'take_profit_full']:
# # 检查是否已处理过该信号
# signal_key = f"take_profit_{stock_code}_{signal_type}_{datetime.now().strftime('%Y%m%d')}"
# if signal_key in self.processed_signals:
# logger.debug(f"{stock_code} {signal_type} 止盈信号已处理，跳过")
# return False
# success = False
# if signal_type == 'take_profit_half':
# success = self._execute_take_profit_half_signal(stock_code, signal_info)
# elif signal_type == 'take_profit_full':
# success = self._execute_take_profit_full_signal(stock_code, signal_info)
# if success:
# self.processed_signals.add(signal_key)
# return success
# return False
# except Exception as e:
# logger.error(f"执行 {stock_code} 的动态止盈策略时出错: {str(e)}")
# return False
def execute_buy_strategy(self, stock_code):
"""
执行买入策略
参数:
stock_code (str): 股票代码
返回:
bool: 是否执行成功
"""
try:
# 检查是否有买入信号
buy_signal = self.indicator_calculator.check_buy_signal(stock_code)
if buy_signal:
# 检查是否已处理过该信号
signal_key = f"buy_{stock_code}_{datetime.now().strftime('%Y%m%d')}"
if signal_key in self.processed_signals:
logger.debug(f"{stock_code} 买入信号已处理，跳过")
return False
# 检查是否已有持仓
position = self.position_manager.get_position(stock_code)
# 确定买入金额
if position:
# 已有持仓，检查是否达到补仓条件
current_price = position['current_price']
cost_price = position['cost_price']
current_value = position['market_value']
# 检查是否满足补仓格点要求
price_ratio = current_price / cost_price
# 寻找满足条件的补仓格点
buy_level = None
for i, level in enumerate(config.BUY_GRID_LEVELS):
if i > 0 and price_ratio <= level: # 不是第一格且价格比例小于等于格点比例
buy_level = i
break
if buy_level is None:
logger.info(f"{stock_code} 当前价格不满足补仓条件")
return False
# 检查是否达到最大持仓限制
if current_value >= config.MAX_POSITION_VALUE:
logger.info(f"{stock_code} 持仓已达到最大限制，不再补仓")
return False
# 确定补仓金额
buy_amount = config.POSITION_UNIT * config.BUY_AMOUNT_RATIO[buy_level]
logger.info(f"执行 {stock_code} 补仓策略，当前价格比例: {price_ratio:.2f}, 补仓格点: {buy_level}, 补仓金额: {buy_amount}")
else:
# 新建仓，使用第一个格点的金额
buy_amount = config.POSITION_UNIT * config.BUY_AMOUNT_RATIO[0]
logger.info(f"执行 {stock_code} 首次建仓，金额: {buy_amount}")
# 执行买入
order_id = self.trading_executor.buy_stock(stock_code, amount=buy_amount, price_type=0)
if order_id:
# 记录已处理信号
self.processed_signals.add(signal_key)
# 如果是新建仓，初始化网格交易
if not position and config.ENABLE_GRID_TRADING:
# 等待买入成交后再初始化网格
# 实际应用中应该通过回调函数处理
time.sleep(5) # 简单等待一下
self.init_grid_trading(stock_code)
return True
return False
except Exception as e:
logger.error(f"执行 {stock_code} 的买入策略时出错: {str(e)}")
return False
def execute_sell_strategy(self, stock_code):
"""
执行卖出策略
参数:
stock_code (str): 股票代码
返回:
bool: 是否执行成功
"""
try:
# 1. 检查高级卖出策略（8个规则）
if config.ENABLE_SELL_STRATEGY:
sell_result = self.sell_strategy.check_sell_signals(stock_code)
if sell_result:
logger.info(f"{stock_code} 触发高级卖出策略: {sell_result['rule']}")
return True
# 2. 检查传统技术指标卖出信号
sell_signal = self.indicator_calculator.check_sell_signal(stock_code)
if sell_signal:
# 检查是否已处理过该信号
signal_key = f"sell_{stock_code}_{datetime.now().strftime('%Y%m%d')}"
if signal_key in self.processed_signals:
logger.debug(f"{stock_code} 卖出信号已处理，跳过")
return False
# 获取持仓
position = self.position_manager.get_position(stock_code)
if not position:
logger.warning(f"未持有 {stock_code}，无法执行卖出策略")
return False
volume = position['volume']
# 执行卖出
logger.info(f"执行 {stock_code} 卖出策略，数量: {volume}")
order_id = self.trading_executor.sell_stock(stock_code, volume, price_type=0)
if order_id:
# 记录已处理信号
self.processed_signals.add(signal_key)
return True
return False
except Exception as e:
logger.error(f"执行 {stock_code} 的卖出策略时出错: {str(e)}")
return False
def check_and_execute_strategies(self, stock_code):
"""
检查并执行所有交易策略 - 重构版本
策略检测始终运行，但交易执行依赖ENABLE_AUTO_TRADING
"""
try:
# 添加调试日志
logger.debug(f"开始检查 {stock_code} 的交易策略，自动交易状态: {config.ENABLE_AUTO_TRADING}")
# 更新数据（始终执行）
self.data_manager.update_stock_data(stock_code)
self.indicator_calculator.calculate_all_indicators(stock_code)
# 1. 检查止盈止损信号（如果启用）
if config.ENABLE_DYNAMIC_STOP_PROFIT:
pending_signals = self.position_manager.get_pending_signals()
# 添加调试日志
logger.debug(f"{stock_code} 待处理信号: {list(pending_signals.keys())}")
if stock_code in pending_signals:
signal_data = pending_signals[stock_code]
signal_type = signal_data['type']
signal_info = signal_data['info']
logger.info(f"{stock_code} 处理待执行的{signal_type}信号")
# 检查是否已处理过该信号（防重复,每分钟3次）
retry_key = f"{signal_type}_{stock_code}_{datetime.now().strftime('%Y%m%d_%H%M')}"
retry_count = self.retry_counts.get(retry_key, 0)
if retry_count >= 3:
logger.warning(f"{stock_code} {signal_type}信号重试次数已达上限")
self.position_manager.mark_signal_processed(stock_code)
return
if config.ENABLE_AUTO_TRADING:
# 添加调试日志
logger.info(f"{stock_code} 开始执行{signal_type}信号，重试次数: {retry_count}")
success = self.execute_trading_signal_direct(stock_code, signal_type, signal_info)
if success:
self.position_manager.mark_signal_processed(stock_code)
self.retry_counts.pop(retry_key, None)
logger.info(f"{stock_code} {signal_type}信号执行成功")
else:
self.retry_counts[retry_key] = retry_count + 1
logger.warning(f"{stock_code} {signal_type}执行失败，重试次数: {retry_count + 1}")
else:
logger.info(f"{stock_code} 检测到{signal_type}信号，但自动交易已关闭")
self.position_manager.mark_signal_processed(stock_code)
else:
logger.debug(f"{stock_code} 当前无待处理信号")
# 2. 检查网格交易信号（如果启用）
if config.ENABLE_GRID_TRADING:
grid_signals = self.position_manager.check_grid_trade_signals(stock_code)
if grid_signals['buy_signals'] or grid_signals['sell_signals']:
logger.info(f"{stock_code} 检测到网格交易信号")
# 只有在启用自动交易时才执行
if config.ENABLE_AUTO_TRADING:
if self.execute_grid_trading(stock_code):
logger.info(f"{stock_code} 执行网格交易策略成功")
return
else:
logger.info(f"{stock_code} 检测到网格信号，但自动交易已关闭")
# 3. 检查技术指标买入信号
buy_signal = self.indicator_calculator.check_buy_signal(stock_code)
if buy_signal:
logger.info(f"{stock_code} 检测到买入信号")
# 只有在启用自动交易时才执行
if config.ENABLE_AUTO_TRADING:
if self.execute_buy_strategy(stock_code):
logger.info(f"{stock_code} 执行买入策略成功")
return
else:
logger.info(f"{stock_code} 检测到买入信号，但自动交易已关闭")
# 4. 检查技术指标卖出信号
sell_signal = self.indicator_calculator.check_sell_signal(stock_code)
if sell_signal:
logger.info(f"{stock_code} 检测到卖出信号")
# 只有在启用自动交易时才执行
if config.ENABLE_AUTO_TRADING:
if self.execute_sell_strategy(stock_code):
logger.info(f"{stock_code} 执行卖出策略成功")
return
else:
logger.info(f"{stock_code} 检测到卖出信号，但自动交易已关闭")
logger.debug(f"{stock_code} 没有检测到交易信号")
except Exception as e:
logger.error(f"检查 {stock_code} 的交易策略时出错: {str(e)}")
def start_strategy_thread(self):
"""启动策略运行线程 - 始终启动，不依赖ENABLE_AUTO_TRADING"""
if self.strategy_thread and self.strategy_thread.is_alive():
logger.warning("策略线程已在运行")
return
self.stop_flag = False
self.strategy_thread = threading.Thread(target=self._strategy_loop)
self.strategy_thread.daemon = True
self.strategy_thread.start()
logger.info("策略线程已启动（独立于自动交易开关）")
def stop_strategy_thread(self):
"""停止策略运行线程"""
if self.strategy_thread and self.strategy_thread.is_alive():
self.stop_flag = True
self.strategy_thread.join(timeout=5)
logger.info("策略线程已停止")
def _strategy_loop(self):
"""策略运行循环"""
while not self.stop_flag:
try:
# 判断是否在交易时间
if config.is_trade_time():
logger.info("开始执行交易策略")
# 遍历股票池中的每只股票
for stock_code in config.STOCK_POOL:
# 检查并执行交易策略
self.check_and_execute_strategies(stock_code)
# 避免请求过于频繁
time.sleep(1)
logger.info("交易策略执行完成")
# 等待下一次策略执行
for _ in range(30): # 每30s执行一次策略
if self.stop_flag:
break
time.sleep(1)
except Exception as e:
logger.error(f"策略循环出错: {str(e)}")
time.sleep(60) # 出错后等待一分钟再继续
def manual_buy(self, stock_code, volume=None, price=None, amount=None):
"""
手动买入股票 - 不受ENABLE_AUTO_TRADING限制
"""
try:
# 手动交易不检查ENABLE_AUTO_TRADING，但要检查ENABLE_ALLOW_BUY
if not config.ENABLE_ALLOW_BUY:
logger.warning(f"系统当前不允许买入操作")
return None
# 根据交易模式选择策略标识
is_simulation = hasattr(config, 'ENABLE_SIMULATION_MODE') and config.ENABLE_SIMULATION_MODE
strategy = 'M_simu' if is_simulation else 'M_real'
order_id = self.trading_executor.buy_stock(
stock_code, volume, price, amount, strategy=strategy
)
if order_id:
logger.info(f"手动买入 {stock_code} 成功，委托号: {order_id}，模式: {'模拟' if is_simulation else '实盘'}")
return order_id
except Exception as e:
logger.error(f"手动买入 {stock_code} 时出错: {str(e)}")
return None
def manual_sell(self, stock_code, volume=None, price=None, ratio=None):
"""
手动卖出股票 - 不受ENABLE_AUTO_TRADING限制
"""
try:
# 手动交易不检查ENABLE_AUTO_TRADING，但要检查ENABLE_ALLOW_SELL
if not config.ENABLE_ALLOW_SELL:
logger.warning(f"系统当前不允许卖出操作")
return None
# 根据交易模式选择策略标识
is_simulation = hasattr(config, 'ENABLE_SIMULATION_MODE') and config.ENABLE_SIMULATION_MODE
strategy = 'manual_simu' if is_simulation else 'manual_real'
order_id = self.trading_executor.sell_stock(
stock_code, volume, price, ratio, strategy=strategy
)
if order_id:
logger.info(f"手动卖出 {stock_code} 成功，委托号: {order_id}，模式: {'模拟' if is_simulation else '实盘'}")
return order_id
except Exception as e:
logger.error(f"手动卖出 {stock_code} 时出错: {str(e)}")
return None
# 单例模式
_instance = None
def get_trading_strategy():
"""获取TradingStrategy单例"""
global _instance
if _instance is None:
_instance = TradingStrategy()
return _instance