Discussing the article: "Building AI-Powered Trading Systems in MQL5 (Part 6): Introducing Chat Deletion and Search Functionality"
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Check out the new article: Building AI-Powered Trading Systems in MQL5 (Part 6): Introducing Chat Deletion and Search Functionality.
In Part 6 of our MQL5 AI trading system series, we advance the ChatGPT-integrated Expert Advisor by introducing chat deletion functionality through interactive delete buttons in the sidebar, small/large history popups, and a new search popup, allowing traders to manage and organize persistent conversations efficiently while maintaining encrypted storage and AI-driven signals from chart data.
Chat deletion and search features in AI trading interfaces play a pivotal role in maintaining an organized and efficient workspace, allowing us to remove irrelevant or outdated conversations that clutter the history, freeing up focus for current market analysis and preventing confusion during high-pressure trading sessions. Search functionality complements this by enabling quick retrieval of specific chats through keyword matching in titles or content, saving time when referencing past AI-generated insights like signal recommendations or strategy discussions, which is especially beneficial in volatile markets where historical context can inform rapid decisions. Together, these will enhance usability by reducing cognitive load, promoting data privacy through selective removal, and improving overall productivity, ensuring the AI assistant remains a streamlined tool rather than a disorganized archive.
Our approach is to add hover-activated delete buttons to the sidebar, small/large history popups, and search results using Wingdings icons, implement real-time filtering in a dedicated search popup with case-insensitive matching and a custom scrollbar, update chat storage logic to handle deletions while preserving the active chat or switching to the latest, and ensure seamless UI refreshes across all views, building a more manageable AI trading assistant for efficient conversation handling and quick access to relevant insights. We will also alter a couple of things slightly to match the upgraded UI, like using toggle icons as we promised in the previous version. Below is a visual representation of the features we aim to achieve.
Author: Allan Munene Mutiiria