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sanguo_vnpy/archive/2026-04-29-cleanup/test/backtest/simple_backtest.py
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2026-04-29 20:15:25 +08:00

155 lines
4.4 KiB
Python

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