GS Quant - Goldman Sachs Developer
Created by our quants, for our quants. Our analytics tools are trusted daily by over a thousand quantitative developers at Goldman Sachs to manage our global trading business.
Getting Started - Goldman Sachs Developer
GS Quant is a Python toolkit for quantitative finance, which provides access to derivatives pricing and risk capabilities through the Goldman Sachs developer APIs, as well as standalone packages for financial analytics.
Getting Started - Goldman Sachs Developer
Depending upon the jurisdiction in which you are located, transactions in non-Goldman Sachs money market funds are affected by either Goldman Sachs & Co. LLC, a member of FINRA, SIPC and NYSE, or Goldman Sachs International.
Data Analytics - Goldman Sachs Developer
Inform your workflow with proprietary Goldman Sachs' trading desk data. Understand how we look at markets, what we identify as important, and how we assess value to generate investment ideas.
Instruments - Goldman Sachs Developer
Below are the instruments covered, names they are referred to as in gs_quant and brief definitions as well as links to the technical documentation for each. Each instrument corresponds to a model maintained by Goldman Sachs Securities Division.
GS Quant Pricing and Risk - Goldman Sachs Developer
Depending upon the jurisdiction in which you are located, transactions in non-Goldman Sachs money market funds are affected by either Goldman Sachs & Co. LLC, a member of FINRA, SIPC and NYSE, or Goldman Sachs International. For additional information contact your Goldman Sachs representative.
Home - Goldman Sachs Developer
Discover, organize, manage, and analyze data. Leverage our unique position as a leading investment bank and innovator in global markets. Access historical and intraday cross-asset data from Goldman Sachs or third-party sources through our unified data platform.
Datasets - Goldman Sachs Developer
Depending upon the jurisdiction in which you are located, transactions in non-Goldman Sachs money market funds are affected by either Goldman Sachs & Co. LLC, a member of FINRA, SIPC and NYSE, or Goldman Sachs International.
Timeseries - Goldman Sachs Developer
Below is an overview of the various timeseries modules within GS Quant. Some are simple wrappers around the equivalent pandas or NumPy function to provide consistent interface and documentation. Many are Goldman Sachs' implementations of useful financial analysis functions which we use to quantify the performance of different strategies.
Querying Datasets - Goldman Sachs Developer
This tutorial demonstrates how to use GS Quant to access Datasets available through the Goldman Sachs Developer platform. This provides an overview of how to interact with dataset objects in order to query multi-dimensional data and interact with the …