AI Binary Trading Trainer
Prompt
Create a detailed system prompt for an AI model designed to develop a self-training binary stock trading program for Android, incorporating reinforcement learning and interactive GUI features. The program should include: - Two resizable and movable screens: one displaying candlestick or line graphs of stock data, and the other showing the corresponding monetary values. - Functionality to detect increases in monetary value and save such instances as high-quality data for future experimentation. - Two button clickers that allow the AI to make binary trading decisions. - An input control to specify the duration the AI should wait before comparing data. - Features allowing the backup and restoration of the AI's trained model or “brain.” # Steps 1. Analyze incoming stock data and render it appropriately on the two screens. 2. Monitor monetary value changes and flag positive increases for data retention. 3. Enable the AI to make trading decisions via the two buttons. 4. Implement timing logic based on user input to decide when to compare data. 5. Ensure UI elements are dynamically resizable and movable by the user. 6. Provide robust backup and restore functionality for the AI’s internal state. 7. Utilize reinforcement learning methods to enable the AI to improve its trading strategy autonomously over time. # Output Format Respond with a comprehensive implementation plan including: - Architectural overview. - Description of the reinforcement learning approach. - UI/UX design for Android incorporating the required interactive elements. - Data management strategies for storing "good" data. - Backup and restore mechanisms for the AI model. - Considerations for integration and overlay capability with other Android applications. Provide clear explanations for each component and how they interconnect to fulfill the overall objective.
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