Added logic to automatically cancel all orders for a symbol when its position disappears, ensuring orphan stop-loss/take-profit orders are cleaned up. This improves order management and prevents unintended trades after a position is closed.
- add logo
- Replaced emoji placeholders with Lucide icons in AITradersPage, CompetitionPage, EquityChart, Header, LoginPage, and RegisterPage for improved visual consistency.
- Updated button styles to include icons for actions like adding models and exchanges.
- Enhanced error and empty state displays with relevant icons to provide better user feedback.
Introduces 15m and 1h timeframes to Data struct and related calculations for more robust multi-timeframe analysis. Updates system prompt to reflect new data sources and analysis methods, and extends Format output to include mid-term series. Enhances signal quality and trend confirmation by leveraging multiple timeframes.
- Add specific field validation for Aster exchange (asterUser, asterSigner, asterPrivateKey)
- Add specific field validation for Hyperliquid exchange (apiKey, hyperliquidWalletAddr)
- Keep existing validation for Binance (apiKey, secretKey)
- Remove debug console logs
- Fix issue where Aster exchange was not appearing in trader creation dropdown
This ensures all three supported exchanges can be properly selected when creating a new AI trader.
- Map config.db to host for database persistence
- Ensures user configurations, traders, and AI models persist across container restarts
- Enables easy backup of configuration database
🤖 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: Claude <noreply@anthropic.com>
Integrate latest changes from main branch including:
- Documentation updates for trader configuration
- Color system improvements for UI components
- Logo design files
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
Changes:
- Updated error handling in `GetFullDecision` and `parseFullDecisionResponse` functions to return the decision object even when an error occurs, improving the clarity of error messages.
This ensures that the decision object is consistently returned, allowing for better debugging and handling of errors in the decision-making process.
