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Stock Market GitHub Repositories (2026) · Open Source Tools
Discover the best Stock Market open source repositories on GitHub. Explore trending tools, live star counts, source code, and developer projects updated daily.
11 Claude skills that copy the investors you trust, watch the news and Congress, size every trade to your budget, and never place an order without your yes.
A package that lets you create TradingView screeners in Python
Stock market MCP server for Yahoo Finance data, technical analysis, portfolio tracking, and Python backtesting. Runs locally with no API key for core tools.
US stock analysis skills for LLMs (Claude code, Gemini ...) | #AI
Glanceable market data for you
OpenStock is an open-source alternative to expensive market platforms. Track real-time prices, set personalized alerts, and explore detailed company insights — built openly, for everyone, forever free.
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.
Self-hosted, open-source financial data MCP server for AI agents — SEC filings, XBRL financials, 13F holdings, insider & congressional trades, short interest, FRED, CFTC/CBOE and daily prices across 64 MCP tools. Equibles Cloud adds earnings call transcripts, live quotes, options chains with Greeks, guidance and a screener.
⚡ Python library for getting publically available Mutual Funds data in India
IQFeed.CSharpApiClient is fastest and the most well-designed C# DTN IQFeed socket API connector available
AI industry-chain stock pool with US/A-share mapping, active discovery, policy pressure, and one-click deployment.
A Discord bot and CLI tool for automating Reverse Split Arbitrage stock trading!
The official Go client library for the Massive REST and WebSocket API.
Stock Indicators for .NET is a C# NuGet package that transforms raw equity, commodity, forex, or cryptocurrency financial market price quotes into technical indicators and trading insights. You'll need this essential data in the investment tools that you're building for algorithmic trading, technical analysis, machine learning, or visual charting.