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@@ -96,6 +96,8 @@ A curated list of insanely awesome libraries, packages and resources for Quants
- [algorithmic-trading-with-python](https://github.com/chrisconlan/algorithmic-trading-with-python) - Free `pandas` and `scikit-learn` resources for trading simulation, backtesting, and machine learning on financial data. - [algorithmic-trading-with-python](https://github.com/chrisconlan/algorithmic-trading-with-python) - Free `pandas` and `scikit-learn` resources for trading simulation, backtesting, and machine learning on financial data.
- [DeepDow](https://github.com/jankrepl/deepdow) - Portfolio optimization with deep learning - [DeepDow](https://github.com/jankrepl/deepdow) - Portfolio optimization with deep learning
### Risk Analysis ### Risk Analysis
- [pyfolio](https://github.com/quantopian/pyfolio) - Portfolio and risk analytics in Python. - [pyfolio](https://github.com/quantopian/pyfolio) - Portfolio and risk analytics in Python.
@@ -109,6 +111,7 @@ A curated list of insanely awesome libraries, packages and resources for Quants
### Factor Analysis ### Factor Analysis
- [alphalens](https://github.com/quantopian/alphalens) - Performance analysis of predictive alpha factors. - [alphalens](https://github.com/quantopian/alphalens) - Performance analysis of predictive alpha factors.
- [Spectre](https://github.com/Heerozh/spectre) - GPU-accelerated Factors analysis library and Backtester
### Time Series ### Time Series