60fa0c113d
Sets up project structure with yfinance-based OHLCV fetcher for top 100 S&P companies, Jupyter notebook scaffold, and uv-managed deps. Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
52 lines
1.1 KiB
TOML
52 lines
1.1 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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]
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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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