Files
mt5_python_ea_suite/strategies/momentum_breakout.py
T
2025-07-25 17:35:01 +08:00

55 lines
1.9 KiB
Python

import MetaTrader5 as mt5
import pandas as pd
from utils import get_rates, has_open_position, close_all, send_order
from logger import logger
class Strategy:
def __init__(self):
self.symbol = "XAUUSD"
self.timeframe = mt5.TIMEFRAME_M1
self.breakout_period = 20
def _calculate_indicators(self, df):
"""
计算动量突破指标
"""
df['high_20'] = df['high'].rolling(self.breakout_period).max()
df['low_20'] = df['low'].rolling(self.breakout_period).min()
return df
def generate_signal(self):
"""
动量突破策略实盘
价格突破过去20根K线最高点买入,突破最低点卖出
"""
rates = get_rates(self.symbol, self.timeframe, self.breakout_period + 30)
if rates is None or len(rates) < self.breakout_period:
return 0
df = pd.DataFrame(rates)
df = self._calculate_indicators(df)
if df['close'].iloc[-2] > df['high_20'].iloc[-3]:
logger.info(f"价格突破{self.breakout_period}日最高点,产生买入信号: {self.symbol}")
return 1
elif df['close'].iloc[-2] < df['low_20'].iloc[-3]:
logger.info(f"价格突破{self.breakout_period}日最低点,产生卖出信号: {self.symbol}")
return -1
return 0
def run_backtest(self, df):
"""
动量突破回测方法
过去20根K线最高最低突破生成买卖信号
"""
df = df.copy()
df = self._calculate_indicators(df)
signals = pd.Series(0, index=df.index)
for i in range(self.breakout_period, len(df)):
if df['close'].iloc[i-1] > df['high_20'].iloc[i-2]:
signals.iat[i] = 1
elif df['close'].iloc[i-1] < df['low_20'].iloc[i-2]:
signals.iat[i] = -1
return signals