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@@ -89,6 +89,7 @@ A curated list of insanely awesome libraries, packages and resources for Quants
- [qtpylib](https://github.com/ranaroussi/qtpylib) - QTPyLib, Pythonic Algorithmic Trading <http://qtpylib.io> - [qtpylib](https://github.com/ranaroussi/qtpylib) - QTPyLib, Pythonic Algorithmic Trading <http://qtpylib.io>
- [Quantdom](https://github.com/constverum/Quantdom) - Python-based framework for backtesting trading strategies & analyzing financial markets [GUI :neckbeard:] - [Quantdom](https://github.com/constverum/Quantdom) - Python-based framework for backtesting trading strategies & analyzing financial markets [GUI :neckbeard:]
- [freqtrade](https://github.com/freqtrade/freqtrade) - Free, open source crypto trading bot - [freqtrade](https://github.com/freqtrade/freqtrade) - Free, open source crypto trading bot
- [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