- 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.
36 lines
715 B
TOML
36 lines
715 B
TOML
[project]
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name = "lowkey-backtest"
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version = "0.1.0"
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description = "Add your description here"
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readme = "README.md"
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requires-python = ">=3.12"
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dependencies = [
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"ccxt>=4.5.32",
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"numpy>=2.3.2",
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"pandas>=2.3.1",
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"ta>=0.11.0",
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"vectorbt>=0.28.2",
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"scikit-learn>=1.6.0",
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"matplotlib>=3.10.0",
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"plotly>=5.24.0",
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"requests>=2.32.5",
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"python-dotenv>=1.2.1",
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# Terminal UI
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"rich>=13.0.0",
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# API dependencies
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"fastapi>=0.115.0",
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"uvicorn[standard]>=0.34.0",
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"sqlalchemy>=2.0.0",
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]
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[project.optional-dependencies]
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dev = [
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"pytest>=8.0.0",
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]
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[tool.pytest.ini_options]
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pythonpath = ["."]
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markers = [
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"network: marks tests as requiring network access",
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]
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