tomatocream
4e5af95272
- Add defeatbeta-api as primary financial data source (replaces yfinance for analysis) - Add comprehensive Jupyter notebook tutorial (defeatbeta_tutorial.ipynb) - Add API comparison script (compare_apis.py) - Add data exploration script (explore_data.py) - Add basic test script (test_defeatbeta.py) - Add notebook runner script (run_notebook.sh) - Add org-mode mapping documentation (docs/defeatbeta_mapping.org) - Update pyproject.toml with defeatbeta-api dependency - Add defeatbeta-api as git submodule for reference DefeatBeta Advantages: - No rate limits (HuggingFace hosted) - Historical financial ratios (ROE, ROIC, WACC time series) - Earnings call transcripts access - Revenue segmentation by product/geography - Automated DCF valuation with Excel output - DuckDB-powered fast queries Note: .envrc, .jupyter_checkpoints/, __marimo__/, AAPL.xlsx, tearsheet.html and other generated files intentionally excluded
53 lines
1.2 KiB
TOML
53 lines
1.2 KiB
TOML
[project]
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name = "learn-trading"
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version = "0.0.1"
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description = "Combined trading research environment"
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readme = "README.md"
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requires-python = ">=3.12"
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dependencies = [
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"marimo>=0.23.2",
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"arch>=8.0.0",
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"backtesting>=0.6.5",
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"backtrader>=1.9.78.123",
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"ccxt>=4.5.50",
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"empyrical-reloaded>=0.5.12",
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"finta>=1.3",
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"hmmlearn>=0.3.3",
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"jupyterlab>=4.5.6",
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"lightgbm>=4.6.0",
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"lxml>=6.1.0",
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"matplotlib>=3.10.8",
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"mplfinance>=0.12.10b0",
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"numpy>=2.2.6,<2.3",
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"pandas>=2.3.3",
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"pandas-ta>=0.4.71b0",
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"plotly>=6.7.0",
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"polars>=1.40.1",
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"pyarrow>=24.0.0",
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"pyportfolioopt>=1.6.0",
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"qlib>=0.0.2.dev20",
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"quantstats>=0.0.81",
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"riskfolio-lib>=7.2.1",
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"scikit-learn>=1.7.2",
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"scipy>=1.17.1",
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"sktime>=0.40.1",
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"statsmodels>=0.14.6",
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"ta>=0.11.0",
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"ta-lib>=0.6.8",
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"torch>=2.0.0",
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"transformers>=4.0.0",
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"tscv>=0.1.3",
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"vectorbt>=1.0.0",
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"xgboost>=3.2.0",
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"yfinance>=1.3.0",
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"defeatbeta-api>=0.0.45",
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]
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[[tool.uv.index]]
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name = "pytorch-cpu"
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url = "https://download.pytorch.org/whl/cpu"
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explicit = true
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[tool.uv.sources]
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torch = { index = "pytorch-cpu" }
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