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