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.
14 lines
295 B
Python
14 lines
295 B
Python
"""Database module for live trading persistence."""
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from .database import get_db, init_db
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from .models import Trade, DailySummary, Session
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from .metrics import MetricsCalculator
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__all__ = [
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"get_db",
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"init_db",
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"Trade",
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"DailySummary",
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"Session",
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"MetricsCalculator",
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]
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