- Introduced `CryptoQuantClient` for fetching data from the CryptoQuant API. - Added `regime_detection.py` for advanced regime detection analysis using machine learning. - Updated dependencies in `pyproject.toml` and `uv.lock` to include `scikit-learn`, `matplotlib`, `plotly`, `requests`, and `python-dotenv`. - Enhanced `.gitignore` to exclude `regime_results.html` and CSV files. - Created an interactive HTML plot for regime detection results and saved it as `regime_results.html`.
30 lines
572 B
TOML
30 lines
572 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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]
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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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