155 lines
4.4 KiB
Python
155 lines
4.4 KiB
Python
#!/usr/bin/env python3
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"""
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在Docker容器内直接运行回测 - 简化版
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"""
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import types
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import sys
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# vnpy.app兼容性
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vnpy_app = types.ModuleType('vnpy.app')
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sys.modules['vnpy.app'] = vnpy_app
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for name in ['cta_strategy', 'cta_backtester', 'data_manager']:
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mod = types.ModuleType(f'vnpy.app.{name}')
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sys.modules[f'vnpy.app.{name}'] = mod
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setattr(vnpy_app, name, mod)
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from vnpy_ctastrategy import CtaTemplate
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sys.modules['vnpy.app.cta_strategy'].CtaTemplate = CtaTemplate
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from vnpy_ctabacktester import BacktesterEngine
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sys.modules['vnpy.app.cta_backtester'].BacktesterEngine = BacktesterEngine
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# 导入其他必要模块
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from vnpy.event import EventEngine
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from vnpy.trader.engine import MainEngine
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from vnpy.trader.constant import Exchange, Interval
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from vnpy.trader.database import get_database
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from datetime import datetime
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import traceback
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# 定义策略
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class TestStrategy(CtaTemplate):
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"""简化测试策略"""
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parameters = []
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variables = []
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def on_init(self):
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self.write_log("策略初始化")
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self.load_bar(100)
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def on_bar(self, bar):
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# 简单策略:第一天买入,最后一天卖出
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if self.bar_count == 100:
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self.write_log("首次进入,不操作")
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elif self.bar_count == 101:
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if self.pos == 0:
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self.buy(bar.close_price, 10000)
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self.write_log(f"买入: {bar.close_price}")
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elif self.bar_count == 1044: # 接近最后一天
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if self.pos > 0:
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self.sell(bar.close_price, abs(self.pos))
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self.write_log(f"卖出: {bar.close_price}")
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print("=" * 80)
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print("🚀 初始化回测引擎...")
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print("=" * 80)
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event_engine = EventEngine()
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main_engine = MainEngine(event_engine)
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backtester_engine = BacktesterEngine(main_engine, event_engine)
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backtester_engine.classes["TestStrategy"] = TestStrategy
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print("✅ BacktesterEngine 初始化完成")
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# 加载数据
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print("\n加载数据...")
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db = get_database()
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symbol = "510300"
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exchange = Exchange.SSE
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interval = Interval.DAILY
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start = datetime(2021, 1, 1)
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end = datetime(2026, 3, 1)
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bars = db.load_bar_data(symbol, exchange, interval, start, end)
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print(f"✅ 加载了 {len(bars)} 条bar数据")
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if len(bars) == 0:
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print("❌ 数据为空,无法回测")
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sys.exit(1)
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print(f"时间范围: {bars[0].datetime} ~ {bars[-1].datetime}")
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# 运行回测
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print("\n运行回测...")
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backtester_setting = {
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"vt_symbol": "510300.SSE",
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"interval": "1d",
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"start": start,
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"end": end,
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"rate": 0.00003,
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"slippage": 0.002,
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"size": 10000,
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"pricetick": 0.001,
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"capital": 1000000,
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}
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print(f"回测参数: {backtester_setting}")
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try:
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# 设置回测参数 (按照官方API)
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backtester_engine.capital = backtester_setting["capital"]
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backtester_engine.rate = backtester_setting["rate"]
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backtester_engine.slippage = backtester_setting["slippage"]
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backtester_engine.size = backtester_setting["size"]
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backtester_engine.pricetick = backtester_setting["pricetick"]
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# 设置策略
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backtester_engine.strategy_name = "TestStrategy"
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backtester_engine.strategy_class = TestStrategy
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backtester_engine.strategy_setting = {}
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# 设置时间范围
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backtester_engine.start = backtester_setting["start"]
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backtester_engine.end = backtester_setting["end"]
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backtester_engine.interval = backtester_setting["interval"]
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backtester_engine.symbol = symbol
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backtester_engine.exchange = exchange
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print("✅ 参数设置完成")
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# 运行回测 (会自动加载数据)
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backtester_engine.run_backtesting()
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print("✅ 回测完成")
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# 获取结果
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result = backtester_engine.calculate_result()
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print("\n" + "=" * 80)
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print("回测结果:")
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print("=" * 80)
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# 打印关键指标
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print(f"总收益率: {result['total_return']:.2%}")
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print(f"年化收益率: {result['annual_return']:.2%}")
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print(f"最大回撤: {result['max_drawdown']:.2%}")
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print(f"夏普比率: {result['sharpe_ratio']:.2f}")
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print(f"总交易次数: {result['total_trades']}")
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print(f"胜率: {result['win_rate']:.2%}")
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print("\n详细结果:")
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for key, value in result.items():
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print(f" {key}: {value}")
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except Exception as e:
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print(f"❌ 回测失败: {e}")
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traceback.print_exc()
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sys.exit(1)
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print("\n✅ 回测执行完成!")
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