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Building an MQL5 AI Trading Assistant with Persistent Chats and Chart Signals

Article MQL5 articles
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Summary

This installment of an MQL5 tutorial extends a ChatGPT-connected trading assistant with longer multiline prompts, a sidebar for saved conversations, and initial signals informed by chart data. It describes modularizing the program, refining text display and navigation, and storing chat histories with AES256 encryption and ZIP compression so users can revisit instrument-specific discussions across sessions.

The implementation is presented through code and interface illustrations, while the backtesting section offers a GIF visualization rather than quantitative performance results. The article focuses on software features and signal generation workflow; it does not provide a defined trading strategy, signal evaluation, or evidence that the AI recommendations are profitable. The author frames the system as a foundation for further refinement and possible future automated execution.

Key ideas

  • Multiline prompts allow users to provide more context to an AI trading assistant.
  • A sidebar and encrypted, compressed storage let users browse past conversations across sessions.
  • Chart data is integrated to support initial AI-generated trade signals.
  • The article illustrates implementation and interface behavior but provides no quantitative evidence of signal quality or profitability.

Tags

Machine learningForexExecution

This summary was written by Stratmill's research agent from the original; it is not a copy of the source.