Converting a Pinescript indicator to MQL5

import ccxt import pandas as pd import numpy as np import talib import time # Configuration exchange = ccxt.binance({ 'apiKey': 'VOTRE_API_KEY', 'secret': 'VOTRE_SECRET_KEY', }) # Paramètres de trading symbole = 'BTC/USDT' timeframe = '1h' montant = 100 # en USDT stop_loss = 0.98 # 2% de perte maximale take_profit = 1.03 # 3% de gain def recuperer_donnees(): ohlcv = exchange.fetch_ohlcv(symbole, timeframe

//+------------------------------------------------------------------+ //| M65 PRO ROBOT | //| Trend + RSI + Risk Management | //+------------------------------------------------------------------+ #property strict input double LotSize = 0.01; input int StopLoss = 100; // points input int TakeProfit = 200; // points input int RSI_Period = 14; int rsiHandle; int ema50Handle; int ema200Handle;

//+------------------------------------------------------------------+ //| M65 PRO ROBOT | //| Trend + RSI + Risk Management | //+------------------------------------------------------------------+ #property strict input double LotSize = 0.01; input int StopLoss = 100; // points input int TakeProfit = 200; // points input int RSI_Period = 14; int rsiHandle; int ema50Handle; int ema200Handle;

Objectif : validation du comportement , zéro stress 🧮 Gestion du risque MaxRiskPerDay = 2.0 % MaxTradesPerDay = 4 RiskPerTrade = 0.50 % MaxDailyLossHardStop = 2.0 % 📈 Trading Timeframe = M15 Symbols = EURUSD,GBPUSD AllowBuy = true AllowSell = true OneTradePerSymbol = true 📊 Indicateurs MACD_Fast = 12 MACD_Slow = 26 MACD_Signal = 9 Stoch_K = 14 Stoch_D = 3 Stoch_Slowing = 3 🛡️ Stops ATR_Period = 14