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@@ -47,6 +47,7 @@ A curated list of insanely awesome libraries, packages and resources for Quants
- [pysabr](https://github.com/ynouri/pysabr) - SABR model Python implementation. - [pysabr](https://github.com/ynouri/pysabr) - SABR model Python implementation.
- [FinancePy](https://github.com/domokane/FinancePy) - A Python Finance Library that focuses on the pricing and risk-management of Financial Derivatives, including fixed-income, equity, FX and credit derivatives. - [FinancePy](https://github.com/domokane/FinancePy) - A Python Finance Library that focuses on the pricing and risk-management of Financial Derivatives, including fixed-income, equity, FX and credit derivatives.
- [FinancePy-Examples](https://github.com/domokane/FinancePy-Examples) - Examples of how to use FinancePy - [FinancePy-Examples](https://github.com/domokane/FinancePy-Examples) - Examples of how to use FinancePy
- [gs-quant](https://github.com/goldmansachs/gs-quant) - Python toolkit for quantitative finance
### Indicators ### Indicators
- [pandas_talib](https://github.com/femtotrader/pandas_talib) - A Python Pandas implementation of technical analysis indicators. - [pandas_talib](https://github.com/femtotrader/pandas_talib) - A Python Pandas implementation of technical analysis indicators.