MT5 专业开发服务

//+------------------------------------------------------------------+
//|                                                      TrendEA.mq5 |
//|                        Copyright 2026, MetaQuotes Software Corp. |
//+------------------------------------------------------------------+
#property strict

input double LotSize    = 0.10;   // 交易手数
input int    MA_Period  = 50;    // 均线周期
input double StopLoss   = 30.0;  // 止损点数
input double TakeProfit = 60.0;  // 止盈点数

int OnInit() {
   return(INIT_SUCCEEDED);
}

void OnTick() {
   double ma = iMA(_Symbol, _Period, MA_Period,
                  0, MODE_SMA, PRICE_CLOSE, 1);
   double price = iClose(_Symbol, _Period, 0);

   // 趋势入场 + 风控检查
   if(price > ma && CheckRisk()) {
      OpenOrder(ORDER_TYPE_BUY, LotSize,
                StopLoss, TakeProfit);
   }
}

import MetaTrader5 as mt5
import pandas as pd
import torch
from sklearn.ensemble import RandomForestClassifier

# ① 初始化 MT5 连接
mt5.initialize()

# ② 获取历史数据 & 特征工程
rates = mt5.copy_rates_from_pos(
    "EURUSD", mt5.TIMEFRAME_H1, 0, 5000)
df = pd.DataFrame(rates)
df['return'] = df['close'].pct_change()
features = build_features(df)

# ③ 训练 ML 预测模型
model = RandomForestClassifier(
    n_estimators=200, max_depth=8)
model.fit(X_train, y_train)

# ④ 实时订阅 → 信号 → 执行
while True:
    tick = mt5.symbol_info_tick("EURUSD")
    signal = model.predict(live_features)
    if signal == 1:
        execute_order("BUY", lot=0.1)