A simple EA based on Bollinger Bands Indicator and Moving average

Deleting Folders which are Not in use . (Minor) (Two Folders) . Making Sure Technical Aspect is at par with Live Chart Executions . Validating Expert . Handling Environment Changes

Act as a professional Quantitative Developer and Risk Manager. I want to build a systematic trading strategy rulebook that prioritizes capital preservation and statistical edge over raw performance. Please generate a structured trading strategy using the following framework: 1. ASSET CLASS & TIMEFRAME: - Asset: [e.g., Apple (AAPL), Bitcoin (BTC), or EUR/USD] - Timeframe: [e.g., 5-minute, 1-hour, Daily] 2. CORE

Мне нужен простой торговый бот, написанный исключительно на Python. Бот должен подключаться к терминалу MetaTrader 5 через официальную библиотеку Python "MetaTrader5". Объем кода невелик (около 250 строк). КРИТИЧЕСКИ ВАЖНЫЕ ТРЕБОВАНИЯ: 1. НЕТ КОДА MQL5: Весь проект должен быть написан только на Python. 2. ВНЕШНЯЯ КОНФИГУРАЦИЯ: У бота должен быть внешний конфигурационный файл (config.ini или settings.json). Я должен

Part 1: Project setup Input settings (risk, stop loss, take profit, EMA periods) Indicator initialization Trade management framework Part 2: Trading logic EMA crossover detection Buy/Sell entry rules One-trade-per-symbol check Part 3: Risk management Automatic lot size calculation Stop-loss and take-profit placement Trade execution and error handling Part 4: Final touches On-screen information Optimization

Hello, I am reopening this project with a fully updated and clarified specification. I am looking for a high‑level MQL5 developer who can deliver a clean, stable, and professional Phase 1 version of my: Institutional‑Grade Multi‑Currency MT5 EA (A2SR + SMC + Smart Recovery + Smart Grid + Liquidity + Volatility + Safety Filters) This EA is not a simple indicator conversion or a basic strategy. It is a structured

I am looking for an experienced MQL5 or MQL4 developer with a strong understanding of high-frequency trading (HFT) concepts who can explain how certain HFT-style strategies have historically been able to pass proprietary firm evaluations while also being profitable on demo accounts and capable of transitioning successfully to live trading. I am interested in understanding the legitimate trading logic, execution