Mt4 terminal crossconnect in python

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

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

# H4 Zone Retest EA (MQL5) An automated trading Expert Advisor (EA) for MetaTrader 5, developed in MQL5. The EA trades gold (XAUUSD) using a multi-timeframe breakout and retest strategy: it defines the first H4 candle of each day as a trading zone, detects breakouts on the M5 chart, waits for a retest, and executes trades with risk management, trailing stops, and optional news filtering. --- ## Features - H4 → M5

I require a custom EA and an accompanying custom indicator built in MQL5 for Meta Trader 4/5. The EA must be fully automated (Algo Trading); Telegram-Signal-Linked and named 'AMK Fx'