Advanced MQL5 EA Development with External AI Integration (Session-Based SMC Logic)

We are developing a next-generation Expert Advisor for MetaTrader 5 that integrates with a Python-based AI backend.
This EA will act as the execution engine, communicating with the AI via API requests to receive trading bias, entry logic, and risk parameters in real time.

This is not a basic robot — it’s a professional build intended for mass distribution under a subscription model.
Only apply if you have experience in modular EA development, JSON communication, and production-grade trading logic.

Core Objectives

• Build an EA capable of autonomous trading across multiple pairs using SMC-style logic.

• Communicate with an external FastAPI server to receive directional bias and setup confirmation.

• Execute trades automatically using received parameters (direction, risk %, SL, TP, timing window, etc.).

• Log every trade (pair, time, result, etc.) locally and remotely (to server via POST request).

• Include license validation (API key check before activation).

• Include fail-safe logic if API connection fails — EA should trade in backup “local mode.”

• Fully compatible with the latest MetaTrader 5 build.

EA Logic Summary

1. Determine trading session (London / New York).

2. Request AI bias from backend (previous session high/low + MSS + OB/FVG logic).

3. Use received parameters to set direction (bullish if previous low swept, bearish if high swept).

4. Manage trade lifecycle (entry → partials → breakeven → full TP).

5. Write structured logs for AI retraining data.

Technical Requirements

• Language: MQL5

• Integration: HTTPS WebRequest / JSON Parsing

• Data Handling: Export OHLCV, ATR, volume, session time, etc.

• Testing: Must run in Strategy Tester (no DLLs)

• UI: Simple on-chart control panel (Start/Stop, Status, Connection indicator)

• Optimization Ready: EA parameters should be clearly defined and adjustable.

Skills Required

• Strong MQL5 experience with EA development and debugging

• Experience integrating EAs with Python/FastAPI or web APIs

• Familiar with SMC / liquidity / session-based strategies

• Understanding of JSON, REST, and server requests

• Clean, commented, and modular code delivery

Deliverables

• Fully functional MT5 EA (.ex5 + source)

• Configurable inputs file (.set)

• Sample API connection template (GET/POST)

• Short video demo or doc showing communication test

• Code handover and basic documentation

Budget & Timeline

• Budget: $1,000–$1,500 (depending on experience and speed)

• Timeline: 2–3 weeks for delivery

• Potential for long-term collaboration (ongoing updates, integrations, licensing).

Bonus (if applicable)

Experience with:

• Neural network integration or ML output interpretation

• Secure token validation for SaaS bots

• Data compression and efficient WebRequest handling

To Apply

Please include:

1. Examples of EAs you’ve built that communicate with web APIs or external systems.

2. A short description of how you’d structure the communication loop between MT5 and the AI.

3. Your estimated time to complete the MVP.