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Add [aat](https://github.com/timkpaine/aat) from @timkpaine
Add [backtesting.py](https://github.com/kernc/backtesting.py) from @kernc
Add [catalyst](https://github.com/enigmampc/catalyst) from @enigmampc
Add [zvt](https://github.com/zvtvz/zvt) from @zvtvz
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femtotrader
2019-07-13 12:40:10 +02:00
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@@ -71,6 +71,11 @@ A curated list of insanely awesome libraries, packages and resources for Quants
- [moonshot](https://github.com/quantrocket-llc/moonshot) - Vectorized backtester and trading engine for QuantRocket based on Pandas.
- [PyPortfolioOpt](https://github.com/robertmartin8/PyPortfolioOpt) - Financial portfolio optimisation in python, including classical efficient frontier and advanced methods.
- [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)
- [aat](https://github.com/timkpaine/aat) - Async Algorithmic Trading Engine
- [backtesting.py](https://github.com/kernc/backtesting.py) - Backtest trading strategies in Python
- [catalyst](https://github.com/enigmampc/catalyst) - An Algorithmic Trading Library for Crypto-Assets in Python
- [zvt](https://github.com/zvtvz/zvt) - write trading algorithm once, run it on all markets
### Risk Analysis