gs-quant
Build, price, and backtest quantitative trading strategies in Python
All Skills in This Repository (3)
Pure Emerald Level Indicators
goldmansachsgs-quant
Parse SKILL.md frontmatter and Markdown body into a GS Quant Skill Unit.
goldmansachsgs-quant-backtesting
Backtest quantitative trading strategies with GS Quant engines and triggers.
goldmansachsgs-quant-overview
Guides session setup, instrument resolution, and portfolio construction with the gs_quant Python library.
Frequently Asked Questions
FAQPage SchemaHow to install gs-quant?▼
Run `npx skills add goldmansachs/gs-quant --all -g -y` in your terminal to install all skills in this suite globally.
What is gs-quant used for?▼
It is a Python toolkit for quantitative finance used to price derivatives, manage portfolios, analyze risk, and backtest trading strategies on Goldman Sachs' analytics platform.
Do I need credentials to use gs-quant?▼
Yes. API access requires a client ID and secret, which are available to institutional clients of Goldman Sachs through Marquee sales coverage.
Can AI agents write gs-quant code for me?▼
Yes. The included skills teach your AI agent session setup, instrument construction, pricing contexts, and dataset queries so it can generate correct quant code from plain-English requests.
Can I backtest trading strategies with gs-quant?▼
Yes. The backtesting framework lets you define strategies with triggers and actions, then run them over historical date ranges to produce P&L time series.
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