goldmansachs/gs-quant
Python toolkit for quantitative finance
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Where it stands
Rank, growth pace and release cadence relative to everything GStars tracks.
5 releases in the last 90 days, the latest today, with 20 contributors on GitHub.
Peaked at #49 in the weekly ranking the week of Aug 23, its best in the past year.
Use Cases & Benefits
- Provides a Python toolkit for developing quantitative trading strategies and risk management solutions in finance.
- Offers a powerful, institution-grade platform built on Goldman Sachs' extensive market experience and risk transfer infrastructure.
- Use for building and backtesting derivative trading strategies with access to advanced financial models.
- Use for implementing risk management frameworks to analyze and mitigate portfolio risks in real time.
- Use for conducting statistical data analytics and quantitative research on financial market data.
Should you depend on it?
License terms, project hygiene and risks, from GitHub metadata and GStars' snapshots.
License
Apache 2.0
Permissive: commercial use, modification and redistribution are allowed with attribution; includes an explicit patent grant from contributors.
Community files
- README: present
- Contributing guide: present
- Code of conduct: present
Watch-outs
No watch-outs from GStars' checks.
General guidance from repository metadata, not legal advice. How we score
From the README
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.
In order to access the APIs you will need a client id and secret. These are available to institutional clients of Goldman Sachs. Please speak to your sales coverage or Marquee Sales for further information.
Please refer to Goldman Sachs Developer for additional information.
Daily snapshots
Stars gained per day, and how forks and open issues moved, from GStars' daily snapshots
+2,002 stars over 87 days across 8 snapshot days; best day +29 on Aug 29.
Forks
1.9K+315
Open issues
89+28
Compared with peers in Backend
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| goldmansachs/gs-quant | 13.9K | — | 28 | today |
| Category median | 94.7K | +2.0K | 75 | — |
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