tasks/lowkey-training.service

[Unit]
Description=Lowkey Backtest Daily Model Training
After=network.target

[Service]
Type=oneshot
WorkingDirectory=/home/tamaya/Documents/Work/TCP/lowkey_backtest_live
ExecStart=/home/tamaya/Documents/Work/TCP/lowkey_backtest_live/train_daily.sh
User=tamaya
Group=tamaya
StandardOutput=append:/home/tamaya/Documents/Work/TCP/lowkey_backtest_live/logs/training.log
StandardError=append:/home/tamaya/Documents/Work/TCP/lowkey_backtest_live/logs/training.log

[Install]
WantedBy=multi-user.target
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			`[Unit]`
			`Description=Lowkey Backtest Daily Model Training`
			`After=network.target`

			`[Service]`
			`Type=oneshot`
			`WorkingDirectory=/home/tamaya/Documents/Work/TCP/lowkey_backtest_live`
			`ExecStart=/home/tamaya/Documents/Work/TCP/lowkey_backtest_live/train_daily.sh`
			`User=tamaya`
			`Group=tamaya`
			`StandardOutput=append:/home/tamaya/Documents/Work/TCP/lowkey_backtest_live/logs/training.log`
			`StandardError=append:/home/tamaya/Documents/Work/TCP/lowkey_backtest_live/logs/training.log`

			`[Install]`
			`WantedBy=multi-user.target`