I have an AI-driven trading concept that I’m ready to move from theory to live execution. The core task is to link a Python back-end—where my Machine Learning logic will live—with MetaTrader so trades fire automatically, positions update in real time, and performance data loops back for continuous model improvement. Here’s what I need from you: • A reliable bridge between Python (preferably using MetaTrader’s native APIs, MetaTrader5 module, or an efficient DLL/REST solution) and MT4/MT5. • Clean, well-documented Python scripts that load my ML model, fetch price data, generate signals, send orders, and track open positions and account metrics. • Robust handling for connectivity drops, order confirmation, and basic risk limits (SL/TP, max exposure). • A quick demo showing the strategy running on a demo account so I can validate order flow and latency. I’ll provide the model file, broker demo credentials, and any required feature specs. Deliver the complete source code, step-by-step setup instructions, and a brief video or screen share walkthrough so I can replicate the environment on my side. Let’s get this AI strategy trading.