Integrate machine learning lstm ea

Hello, I am seeking a Telegram copier bot that reads Telegram signal messages and executes the corresponding trades. If you already have an existing, operational tool of this nature, please share the relevant particulars (supported signal formats, execution/confirmation logic, risk controls, and error/failure handling), together with any verifiable performance evidence. I am in a position to proceed promptly should

I have a working MT5 Expert Advisor. I am NOT looking to change the strategy logic. I only need professional optimization and performance improvement. Requirements: • Parameter optimization • Risk adjustment • Max drawdown reduction • Forward testing report • Optimization for Gold (XAUUSD) Please provide previous optimization reports

50 EMA > 200 EMA → Uptrend confirmed Price pulls back to touch or cross below 50 EMA RSI > 50 ATR(14) > 20-period ATR average (volatility expanding) Current candle closes bullish ➡ Enter BUY at candle close50 EMA < 200 EMA → Downtrend Price pulls back to touch or cross above 50 EMA RSI < 50 ATR filter confirms volatility Current candle closes bearish ➡ Enter SELL at candle closeATR(14) Take Profit: 2.5 × ATR(14) This

Overview: I need a robust MQL5 Expert Advisor (Trade Manager) designed to manage trades initiated by external signals (TradingView via Webhook). The EA will not look for entries itself but will "take over" any trade opened with a specific Magic Number. Core Functionality: Magic Number Management: Monitor and manage all trades with Magic Number: xxxx . Grid/Martingale Logic: Initial Lot: xxxx (User-definable)

Good day to you, I am looking for someone who can convert the actual LuxAlgo smart money concepts indicator from pine script to mql5 and give me the source code what works the same as original indicator

​ Description: I am looking for a professional MQL4 developer/quant trader with a proven track record in EA optimization. This project involves optimizing a third-party EA that currently has a 2-year live track record. ​ The Task: ​ In-Sample Optimization: Optimize the EA parameters using historical data prior to January 1, 2024. ​ Out-of-Sample (Walk-Forward): Validate the optimized settings against the period of