- 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.
11 lines
168 B
SYSTEMD
11 lines
168 B
SYSTEMD
[Unit]
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Description=Run Lowkey Backtest Training Daily
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[Timer]
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OnCalendar=*-*-* 00:30:00
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Persistent=true
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Unit=lowkey-training.service
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[Install]
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WantedBy=timers.target
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