Goldman Sachs Python Toolkit

[Andy Nguyen]

GS Quant is a Python toolkit for quantitative finance, created on top of one of the world’s most powerful risk transfer platforms. Designed to accelerate development of quantitative trading strategies and risk management solutions, crafted over 25 years of experience navigating global markets.

It is created and maintained by quantitative developers (quants) at Goldman Sachs to enable the development of trading strategies and analysis of derivative products. GS Quant can be used to facilitate derivative structuring, trading, and risk management, or as a set of statistical packages for data analytics applications.

GitHub - goldmansachs/gs-quant: Python toolkit for quantitative finance

Python toolkit for quantitative finance. Contribute to goldmansachs/gs-quant development by creating an account on GitHub.

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