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Senior MQL5/Python AI Developer for 100% AI-Driven Gold (XAU/USD) Trading EA

MQL5 Experts

Tâche terminée

Temps d'exécution 1 heure
Commentaires du client
Awesome work.

Spécifications

We are looking for an experienced MQL4/MQL5 developer with strong skills in AI/Deep Learning integration to build a next-generation Expert Advisor (EA) for MetaTrader 5.

The project will start in early October 2025.


1. Project Overview

We are seeking a highly skilled and experienced developer to build a next-generation Forex Expert Advisor (EA) for MetaTrader 5. The core innovation of this project is an EA that relies 100% on a custom deep learning AI model (e.g., LSTM, Transformer) for generating all trading signals. The EA will trade the XAU/USD (Gold) instrument.

The developer must be proficient not only in advanced MQL5 programming but also in Python-based AI/ML, specifically in creating, training, and deploying deep learning models for time-series forecasting. The final product will be a hybrid system where an MQL5 EA client communicates with a Python AI server via a local socket connection.

The EA will combine:

  • Deep Learning Models (LSTM, CNN, Reinforcement Learning, etc.) for price prediction and pattern recognition.

  • Deepseek Integration for real-time sentiment analysis (news, tweets, economic data).

  • Dynamic Risk Management including SL/TP adjustments based on volatility.

  • Correlation Hedging (e.g. gold vs silver).

  • Multi-Timeframe Analysis (M1, M15, H1).

Requirements:

  • Proven experience in MQL4/MQL5 EA development.

  • Knowledge of machine learning / Python API integration.

  • Ability to integrate external APIs (e.g. ChatGPT, Deepseek or sentiment feeds) into MT5.

  • Strong understanding of trading strategies (breakouts, trend following, hedging).

  • Previous work with AI-driven or data-driven trading systems is a big plus.

Deliverables:

  1. Fully functional EA for MT5.

  2. Ability to connect to external Python models & ChatGPT/Deepseek API.

  3. Configurable risk management (lot size, SL/TP, max drawdown).

  4. Backtest-ready version with detailed reporting.

  5. Documentation on setup & parameters.


⚡ Goal: A highly adaptive AI-powered EA that uses both technical + sentiment data to maximize trading performance while minimizing risk.























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Informations sur le projet

Budget
100 - 1000 USD