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.

install_cron.sh

@@ -0,0 +1,29 @@
+#!/bin/bash
+# Install cron job for daily model training
+# Runs daily at 00:30
+
+PROJECT_DIR="/home/tamaya/Documents/Work/TCP/lowkey_backtest_live"
+SCRIPT_PATH="$PROJECT_DIR/train_daily.sh"
+LOG_PATH="$PROJECT_DIR/logs/training.log"
+
+# Check if script exists
+if [ ! -f "$SCRIPT_PATH" ]; then
+    echo "Error: $SCRIPT_PATH not found!"
+    exit 1
+fi
+
+# Make executable
+chmod +x "$SCRIPT_PATH"
+
+# Prepare cron entry
+# 30 0 * * * = 00:30 daily
+CRON_CMD="30 0 * * * $SCRIPT_PATH >> $LOG_PATH 2>&1"
+
+# Check if job already exists
+(crontab -l 2>/dev/null | grep -F "$SCRIPT_PATH") && echo "Cron job already exists." && exit 0
+
+# Add to crontab
+(crontab -l 2>/dev/null; echo "$CRON_CMD") | crontab -
+
+echo "Cron job installed successfully:"
+echo "$CRON_CMD"