3 Commits

Author	SHA1	Message	Date
Simon Moisy	b5550f4ff4	Add daily model training scripts and terminal UI for live trading ... - Introduced `train_daily.sh` for automating daily model retraining, including data download and model training steps. - Added `install_cron.sh` for setting up a cron job to run the daily training script. - Created `setup_schedule.sh` for configuring Systemd timers for daily training tasks. - Implemented a terminal UI using Rich for real-time monitoring of trading performance, including metrics display and log handling. - Updated `pyproject.toml` to include the `rich` dependency for UI functionality. - Enhanced `.gitignore` to exclude model and log files. - Added database support for trade persistence and metrics calculation. - Updated README with installation and usage instructions for the new features.	2026-01-18 11:08:57 +08:00
Simon Moisy	21b14d4fe4	Enhance backtesting functionality by adding date range parameters to load_data, improving ATR calculation, and refining trade logic with meta Supertrend signals. Update README with detailed usage instructions and requirements. Add CSV logging for trade results and performance metrics. Include ta library as a dependency in pyproject.toml.	2025-08-12 10:33:17 +08:00
Simon	cac0629dcd	Initial commit	2025-07-29 20:51:11 +00:00