Institutional intelligence,
democratized.
Stock Companion was founded in 2024 by ex-Wall Street quants and silicon valley AI researchers. We recognized that the technology gap between institutional investment firms and individual retail traders was growing exponentially. Our mission is simple: to level the playing field by providing retail traders with the same real-time sentiment scoring, advanced technical indictors, and low-latency signals used by elite hedge funds.
Meet Our Leadership
A combination of Wall Street expertise and Silicon Valley engineering excellence.
Sarah Jenkins
Ex-Goldman Sachs Partner with 15+ years managing quantitative equity portfolios. Passionate about bringing institutional-grade intelligence to retail investors.
Dr. Alex Chen
Former lead researcher in neural networks at Stanford. Designed Stock Companion's news analysis engine, built on state-of-the-art AI models trained specifically on financial data, and its signal aggregator.
Marcus Thorne
Ex-Google DevOps engineer. Architect of our ultra-low latency real-time data sync pipeline, ensuring sub-second technical scan feeds.
Global Headquarters
Located in the heart of Silicon Valley, our team operates from Palo Alto. We maintain tight integration with top cloud infrastructure partners and latency-critical exchange nodes in Chicago and New York.
Stock Companion inside your AI assistant
Our sentiment scores and trading signals are published as an open-source MCP server, so Claude, ChatGPT, Cursor and any other MCP client can read them directly. Read-only, no account, no API key, and every answer links back to the page it came from. Install it with uvx stockcompanion-mcp.