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.

tasks/lowkey-training.service

@@ -0,0 +1,15 @@
+[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