Sign in

Repository Index

70,234 visible repositories in the index

Tags: Finance and trading
Tags

A repository shows when it has any selected Tag.

Clear Tags
Filters

Filters

Clear all filters

1–24 of 36 · Most stars

Python quantitative trading strategies including VIX Calculator, Pattern Recognition, Commodity Trading Advisor, Monte Carlo, Options Straddle, Shooting Star, London Breakout, Heikin-Ashi, Pair Trading, RSI, Bollinger Bands, Parabolic SAR, Dual Thrust, Awesome, MACD

:chart_with_upwards_trend: 韭菜盒子插件,兼容 VS Code 生态编辑器。在你用 AI 专注于写代码的同时,它在后台实时且隐蔽地追踪着市场,绝不打断你的任何工作流。

A Python Finance Library that focuses on the pricing and risk-management of Financial Derivatives, including fixed-income, equity, FX and credit derivatives.

  • risk
  • pricing
  • risk-management
  • asset-allocation

Open Source AI trading agent that operates autonomously across 1000+ markets - Polymarket, Kalshi, Binance, Hyperliquid, Solana DEXs, 5 EVM chains. Scans for edge, executes instantly, manages risk while you sleep. Agent commerce protocol for machine-to-machine payments. Self-hosted. Built on Claude.

High-performance technical analysis indicators and backtesting framework in Go. Zero dependencies. ✨ See how! 👀

Notebooks for financial economics. Keywords: Jupyter notebook pandas Federal Reserve FRED Ferbus GDP CPI PCE inflation unemployment wage income debt Case-Shiller housing asset portfolio equities SPX bonds TIPS rates currency FX euro EUR USD JPY yen XAU gold Brent WTI oil Holt-Winters time-series forecasting statistics econometrics

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.

Web-based software to manage a non-profit food coop (product catalog, ordering, accounting, job scheduling).

  • food-cooperative
  • foodcoop
  • food
  • cooperative

Every day, millions of traders around the world are trying to make money by trading stocks. These days, physical traders are also being replaced by automated trading robots. Algorithmic trading market has experienced significant growth rate and large number of firms are using it. I have tried to build a Deep Q-learning reinforcement agent model to do automated stock trading.