Advanced Multi-Strategy EA for MetaTrader 5 with Integrated Risk Management and ML/News Filtering ,AI api

I am seeking a highly experienced MQL5 developer (or team) to design and develop a robust Expert Advisor (EA) for MetaTrader 5. The EA should combine multiple trading strategies (e.g., mean reversion, trend following, breakout, scalping) in a modular, object‑oriented architecture. In addition, the EA must include advanced risk and money management modules, integration points for machine learning (ML) signals, and a news filtering system to adjust or pause trading during high‑volatility events.

Key Features & Requirements:

1. Modular, Multi‑Strategy Architecture:

   • Multiple Strategies:
     • Mean Reversion: Based on RSI (and optionally other oscillators) with configurable thresholds.
     • Trend Following: Based on moving average (MA) crossovers across multiple timeframes.
     • Breakout: Based on Bollinger Bands or similar volatility channels to capture breakouts.
     • Scalping (Optional): Based on stochastic or custom indicators for short‑term trades.
   • Each strategy should be encapsulated in its own module/class with the ability to add, remove, or modify strategies easily.
   • The EA should have a central strategy manager to aggregate signals and dynamically allocate capital.

2. Advanced Risk & Money Management:

   • Dynamic Position Sizing:
     • Calculate lot sizes based on account equity, volatility (e.g., ATR‑based sizing), and strategy confidence.
   • Stop Loss & Take Profit Management:
     • Support fixed stops, dynamic trailing stops, and partial position closures.
   • Global Risk Controls:
     • Implement circuit breakers (halt trading if drawdown exceeds a certain threshold).
     • Optionally manage portfolio risk if trading multiple instruments.

3. Integration of Machine Learning & External Data:

   • Provide a module (ML Bridge) that can import external signals from a machine learning system (e.g., via a CSV file or API).
   • The EA should incorporate these signals into its decision-making process (e.g., weighting strategy signals or adjusting position sizing).

4. News Filtering:

   • Integrate a news filter module that can read scheduled news events (via an external feed or file) and adjust or pause trading during high-impact events.

5. Robust Infrastructure & Code Organization:

   • Object‑Oriented Design:
     • Code must be modular, maintainable, and well‑organized (preferably split into multiple files for each module, though a unified codebase is acceptable if clearly organized).
   • Logging & Monitoring:
     • Include detailed logging for all trading decisions and risk management actions.
     • On‑chart comments or a dashboard to display real‑time status (e.g., current strategy signals, account equity, open positions, etc.).
   • Error Handling & Resilience:
     • The EA must gracefully handle errors, connection issues, and unexpected market conditions.

6. Performance & Testing:

   • The code must be optimized for speed and minimal latency in signal generation and order execution.
   • The developer should provide documentation on backtesting results and the testing methodology used.
   • The EA should be designed to allow for future updates and optimizations.

7. Documentation & Delivery:

   • Complete source code with clear comments and documentation.
   • A brief user manual explaining how to configure inputs and deploy the EA.
   • A recommended roadmap for future enhancements.

Technical Requirements:

• The EA must be written in MQL5 and compile without errors in the latest version of MetaEditor.
• The code must follow best practices for MQL5 programming (use of proper indicator handles, efficient data structures, etc.).
• The EA must be compatible with MetaTrader 5’s trading environment and tested on demo accounts.

Budget & Timeline:

• Please include your estimated timeline and budget for a project of this scope.
• I am looking for a professional solution with robust architecture, so quality is more important than a quick, minimal solution.

Additional Notes:

• While I understand that no EA can be “unbeatable” in all market conditions, I expect a solution that is built with industry best practices and is easily extendable.
• Please provide examples of similar projects you have completed, along with any performance results if available.