Python toolkit for quantitative finance
- gs-quant
- goldman-sachs
- risk-management
- trading-strategies
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Python toolkit for quantitative finance
11 Claude skills for day trading: scan thousands of charts, track breaking news, time every entry and exit, and replay every outcome before you risk a dollar.
A Python Finance Library that focuses on the pricing and risk-management of Financial Derivatives, including fixed-income, equity, FX and credit derivatives.
Python library for portfolio optimization, factor model construction, and risk management built on scikit-learn
Common financial risk and performance metrics. Used by zipline and pyfolio.
Oracle3: open-source trading engine and MCP server for prediction markets. Finds fee-adjusted no-arbitrage violations across related event contracts and trades them live on Kalshi, Polymarket and Solana, or on paper, under pre-trade risk limits. 13 MCP tools, JSON CLI, agent skills, 600+ tests.
Contingency Random Number Generator — numbers with controllable fat tails, volatility clustering, and scale convergence