59 lines
2.2 KiB
Python
59 lines
2.2 KiB
Python
from datetime import timedelta
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from src.analysis.result_analyzer import ResultAnalyzer
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# 导入 TqsdkEngine，而不是原来的 BacktestEngine
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from src.indicators.indicators import RSI, HistoricalRange, BollingerBandwidth, NormalizedATR
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from src.tqsdk_real_engine import TqsdkEngine
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# 导入你的策略类
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from src.strategies.OpenTwoFactorStrategy import SimpleLimitBuyStrategyLong, SimpleLimitBuyStrategyShort, SimpleLimitBuyStrategy
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from tqsdk import TqApi, TqBacktest, TqAuth, TqKq, TqAccount
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# --- 配置参数 ---
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# Tqsdk 的本地数据文件路径，注意 Tqsdk 要求文件名为 KQ_m@交易所_品种名_周期.csv
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# 主力合约的 symbol
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symbol = "KQ.m@SHFE.rb"
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strategy_parameters = {
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'main_symbol': 'rb', # 根据您的数据文件中的品种名称调整
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'trade_volume': 2,
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# 'lag': 1,
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# 'lag': 7,
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# 'range_factor': 2.1, # 示例值，需要通过网格搜索优化
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# 'profit_factor': 1.6, # 示例值
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# 'range_factor': 0.2, # 示例值，需要通过网格搜索优化
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# 'profit_factor': 3.8, # 示例值
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'range_factor_l': 2.1, # 示例值，需要通过网格搜索优化
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'profit_factor_l': 1.6, # 示例值
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'range_factor_s': 0.2, # 示例值，需要通过网格搜索优化
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'profit_factor_s': 3.8, # 示例值
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'max_position': 10,
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'enable_log': True,
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'stop_loss_points': 20,
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'use_indicator': True,
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# 'indicator': RSI(14, 44, 70),
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# 'indicator': NormalizedATR(window=5, down_bound=0.62, up_bound=0.76),
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'indicator_l': RSI(14, 44, 70),
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'indicator_s': NormalizedATR(window=5, down_bound=0.62, up_bound=0.76),
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'lag_l': 1,
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'lag_s': 7,
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}
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# api = TqApi(TqKq(), auth=TqAuth("emanresu", "dfgvfgdfgg"))
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api = TqApi(TqAccount('H宏源期货', '903308830', 'lzr520102'), auth=TqAuth("emanresu", "dfgvfgdfgg"))
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# --- 1. 初始化回测引擎并运行 ---
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print("\n初始化 Tqsdk 回测引擎...")
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engine = TqsdkEngine(
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strategy_class=SimpleLimitBuyStrategy,
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strategy_params=strategy_parameters,
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api=api,
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symbol=symbol,
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duration_seconds=60 * 60,
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roll_over_mode=True, # 启用换月模式检测
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history_length=50,
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close_bar_delta=timedelta(minutes=58)
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)
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engine.run() # 这是一个同步方法，内部会运行 asyncio 循环
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