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.
This commit is contained in:
2026-01-18 11:08:57 +08:00
parent 35992ee374
commit b5550f4ff4
27 changed files with 3582 additions and 113 deletions

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@@ -60,7 +60,7 @@ class TradingConfig:
# Position sizing
max_position_usdt: float = -1.0 # Max position size in USDT. If <= 0, use all available funds
min_position_usdt: float = 10.0 # Min position size in USDT
min_position_usdt: float = 1.0 # Min position size in USDT
leverage: int = 1 # Leverage (1x = no leverage)
margin_mode: str = "cross" # "cross" or "isolated"