Simon Moisy
b5550f4ff4
- 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.
16 lines
497 B
Desktop File
16 lines
497 B
Desktop File
[Unit]
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Description=Lowkey Backtest Daily Model Training
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After=network.target
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[Service]
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Type=oneshot
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WorkingDirectory=/home/tamaya/Documents/Work/TCP/lowkey_backtest_live
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ExecStart=/home/tamaya/Documents/Work/TCP/lowkey_backtest_live/train_daily.sh
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User=tamaya
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Group=tamaya
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StandardOutput=append:/home/tamaya/Documents/Work/TCP/lowkey_backtest_live/logs/training.log
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StandardError=append:/home/tamaya/Documents/Work/TCP/lowkey_backtest_live/logs/training.log
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[Install]
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WantedBy=multi-user.target
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