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Freelance Coder Requirements for Developing the AI-Enhanced Expert Advisor

Below is a detailed outline of the requirements for hiring a freelance coder to build the described Expert Advisor (EA) for MetaTrader 5, along with the necessary skills, timeframe, indicators, and responsibilities.

Project Overview

Create a sophisticated, AI-enhanced Expert Advisor (EA) for MetaTrader 5 (MT5) that implements a trend-following strategy with dynamic scaling, advanced exit conditions, and real-time decision-making powered by AI (ChatGPT). The EA should scan multiple instruments, incorporate multiple indicators, and allow for user-defined parameters.

Required Skills

The freelancer must possess the following skills:

1. MQL5 Development:

   • Proficiency in writing Expert Advisors, indicators, and scripts for MetaTrader 5.
   • Understanding of trade execution functions, order management, and risk management in MQL5.
   • Experience with integrating technical indicators such as Moving Averages, Stochastic Oscillators, Bollinger Bands, and Heiken Ashi candles.

2. API Integration:

   • Familiarity with integrating external APIs using Python or similar tools.
   • Experience in connecting MQL5 with external services via JSON or other formats.

3. Python Development:

   • Ability to write a robust Python script to act as an intermediary between MT5 and the ChatGPT API.
   • Knowledge of OpenAI API usage and security best practices.

4. AI Decision-Making:

   • Understanding of AI-based decision-making in trading contexts.
   • Ability to design workflows where AI evaluates and improves trading strategies.

5. Multi-Instrument Scanning:

   • Experience in building EAs that can scan and trade multiple markets simultaneously.

6. Testing and Optimization:

   • Knowledge of MT5 strategy testing and optimization techniques.
   • Familiarity with backtesting, walk-forward analysis, and parameter optimization.

Project Deliverables

1. Core Expert Advisor in MQL5:

   • Implements the predefined strategy:
     • Trend detection using Heiken Ashi and Hull Moving Average.
     • Scaling-in conditions based on 4-day and 7-day MAs, stochastic signals, and Bollinger Bands.
     • Exit rules based on ATR trailing stop, Bollinger Band touches, and Heiken Ashi reversal.
     • 10–15-day maximum holding periods with cooldown after exits.

2. AI Integration:

   • Connects the EA to ChatGPT for:
     • Real-time decision-making when strategy conditions are ambiguous.
     • Dynamic improvements to the strategy based on AI feedback.

3. Python Intermediary Script:

   • Bridges MQL5 with the OpenAI API.
   • Manages data exchange and ensures low-latency communication.

4. Customizable Parameters:

   • User-definable settings for:
     • Timeframes to monitor (15-min, 30-min, 1-hour, 4-hour charts).
     • Number of new positions per day.
     • Lot sizes, stochastic levels, Bollinger Band settings, and cooldown periods.

5. Multi-Instrument Functionality:

   • Scans and trades multiple instruments based on the strategy.
   • Includes user-selectable instruments.

6. Testing and Documentation:

   • Thoroughly backtest the EA and provide performance reports.
   • Deliver detailed documentation for installation, configuration, and use.

Indicators to Be Used

1. Heiken Ashi Candles:

   • To detect trend changes (3 consecutive candles confirm the trend).(variable by user input)

2. Hull Moving Average (20-day): (variable by user input)

   • Used to confirm trend changes with color shifts.

3. 4-Day and 7-Day Simple Moving Averages (SMA):

   • Defines the price range for valid scaling entries.

4. Stochastic Oscillator:

   • Signals scaling opportunities based on exits from the 80 or 20 levels.
   • Monitored on 15-minute, 30-minute, 1-hour, and 4-hour charts.

5. Bollinger Bands (20-period, 2 standard deviations)(varialble by user input):

   • Used for exits between days 12–14.

6. Average True Range (ATR):

   • Trailing stop calculated as ATR x 3.(variable - user input)

Timeframe

• Project Duration: 4–6 weeks
  • Week 1–2: Develop and test the core EA in MQL5 with predefined strategy logic.
  • Week 3: Implement the Python intermediary script and integrate the ChatGPT API.
  • Week 4–5: Test the AI-enhanced functionality, refine decision-making, and backtest across multiple instruments.
  • Week 6: Final testing, debugging, optimization, and documentation.

Additional Requirements

1. Communication:

   • Regular updates on progress (e.g., weekly reports or demo builds).
   • Ability to discuss and refine the strategy based on user feedback.

2. Budget:

   • Provide an estimated cost range, broken down by task (EA development, AI integration, testing).

3. Post-Delivery Support:

   • Offer a support period for bug fixes and minor adjustments after delivery.

How to Apply

Candidates should:

• Submit a portfolio of similar projects (e.g., advanced EAs, API-integrated systems).
• Demonstrate knowledge of trading strategies and AI in financial markets.
• Provide an estimated cost and timeline for the project.
• Send email to hello@seoninjas.co.za
  The strategy details will be given to the successful candidate.