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TradeAutomation

Professional XAUUSD (Gold) trading system with session-adaptive strategies, MT5 file-based bridge, advanced risk management, Smart Position Manager, Telegram monitoring, and real-time performance analytics for 24/7 profit optimization.

TradeAutomation is a multi-component trading stack designed for disciplined execution and monitoring. It combines signal handling, risk control, and operational visibility.

This project is private and shared as a structured case study.
PythonTradingMT5AITelegram

Role

System Designer and Automation Engineer

Timeline

Ongoing

Delivery

Structured implementation across design, engineering, and release phases.

Challenge

  • Maintain robust execution under variable market conditions.
  • Connect MT5 flows with external automation logic reliably.
  • Track behavior and risk in real time without adding manual overhead.

Solution

  • Built session-adaptive strategy logic for changing volatility profiles.
  • Implemented a file-based MT5 bridge for controlled inter-process communication.
  • Integrated Telegram alerts and runtime analytics.

Architecture

  • Python orchestration layer for execution and monitoring.
  • MT5 integration through bridge files and structured command flow.
  • Risk subsystem for sizing, limits, and position control.

Outcomes

  • Reduced manual intervention in repetitive trade operations.
  • Improved observability for live strategy behavior.
  • Created a modular base for future strategy experiments.

Next Steps

  • Expand strategy sandboxing and simulation coverage.
  • Introduce more advanced anomaly detection.
  • Increase automation around post-trade analytics.

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