Autres commandes - Trading robot/indicator debugging - nouveau

//+------------------------------------------------------------------+ //| M5 Trend Pullback EA | //| Exness / MT5 | //| Forex + XAUUSD | //| Risk: 0.5% per trade | //+------------------------------------------------------------------+ #property strict #property version "1.00" #property description "M5 EMA50/EMA200 + RSI + ATR Trend Pullback EA" #include <Trade/Trade.mqh> CTrade trade;

I NEED ONE ROBOT WHO TRED AS INPUT I SATING I PAY U THAT FINAL .BUT ONE THING IS THERE FREIST ONE OR 2 WEAK TEST ON LIVE GOLD ONLY THERE AFTER I PAY U. I SELF MY PROBLEM IN THIS ONLY.TREDING CODE WHO GIVWEN ME TREDING 2 MOVING AVEAGES CROSS OVER THEN THERE THING I PUT MY SELF ONLY TREDING CODE MUST BE I NEED MY EMAILS TRILOKALGO@GMAIL.COM SEND ME YOUR REPOND...HEADER OF EMAIL WITH THIS 2MA I SEEN IF I NOT RESPOND 2

I need a TradingView Pine Script (v6) indicator that gives BUY and SELL signals in real time on the live chart. MAIN REQUIREMENT – NO REPAINTING: 1. Signals must appear only when the candle closes (barstate.isconfirmed). Example: on 1-min chart, signal for the 10:35 candle must appear at 10:36 and never disappear or move. 2. Signals on historical bars must look exactly the same as they looked live. 3. No lookahead

I’m looking for an experienced MT5/MQL5 freelancer to help install and configure several existing EAs on IC Markets MT5 accounts using a Windows VPS. The work will include setting up the EAs on separate demo accounts and later running several together on one account with different risk settings. I also need help with MT5 backtesting and strategy optimisation, including comparing different risk levels and reviewing

I am looking for someone with strong experience using QuantAnalyzer, StrategyQuant Portfolio Master, or a similar portfolio-analysis tool to create an accurate backtest of several existing MT5 EAs running together as one portfolio. The individual EAs can be backtested separately in MT5. My main requirement is to combine those results into a portfolio backtest using different risk allocations for each EA. For example