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@@ -71,6 +71,11 @@ A curated list of insanely awesome libraries, packages and resources for Quants
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- [moonshot](https://github.com/quantrocket-llc/moonshot) - Vectorized backtester and trading engine for QuantRocket based on Pandas.
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- [PyPortfolioOpt](https://github.com/robertmartin8/PyPortfolioOpt) - Financial portfolio optimisation in python, including classical efficient frontier and advanced methods.
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- [mlfinlab](https://github.com/hudson-and-thames/mlfinlab) - Implementations regarding "Advances in Financial Machine Learning" by Marcos Lopez de Prado. (Feature Engineering, Financial Data Structures, Meta-Labeling)
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- [aat](https://github.com/timkpaine/aat) - Async Algorithmic Trading Engine
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- [Backtesting.py](https://kernc.github.io/backtesting.py/) - Backtest trading strategies in Python
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- [catalyst](https://github.com/enigmampc/catalyst) - An Algorithmic Trading Library for Crypto-Assets in Python
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- [zvt](https://github.com/zvtvz/zvt) - write trading algorithm once, run it on all markets
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### Risk Analysis
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