Collect top trader account L/S ratio and global L/S ratio every 15 minutes
for XRP, BTC, ETH (6 API calls/cycle) and persist to per-symbol parquet files.
Deployed as a separate Docker service reusing the bot image.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
_handle_close was not clearing _current_positions when no matching OPEN
trade was found in DB, causing all subsequent entries for the same
symbol+direction to be silently skipped. Also add PYTHONUNBUFFERED=1
and python -u to make log parser crashes visible in docker logs.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
- Changed image references for cointrader, dashboard-api, and dashboard-ui services to use the new GitLab registry URL.
- Ensured consistency in image source for better maintainability and deployment.
- Introduced a new trading dashboard consisting of a FastAPI backend (`dashboard-api`) for data retrieval and a React frontend (`dashboard-ui`) for visualization.
- Implemented a log parser to monitor and store bot logs in an SQLite database.
- Configured Docker setup for both API and UI, including necessary Dockerfiles and a docker-compose configuration.
- Added setup documentation for running the dashboard and accessing its features.
- Enhanced the Jenkins pipeline to build and push the new dashboard images.
- Added MLFilter class to load and evaluate LightGBM model for trading signals.
- Introduced retraining mechanism to update the model daily based on new data.
- Created feature engineering and label building utilities for model training.
- Updated bot logic to incorporate ML filter for signal validation.
- Added scripts for data fetching and model training.
Made-with: Cursor
