MCP Server for Trading Intelligence

An AI-powered trading assistant that processes market data, RSS feeds, and analyst opinions to pressure-test investment theses without making automated trades. Individual traders can leverage LLMs to research and validate trading ideas. Target users are retail traders, individual investors, and DIY fund managers.

Retail traders have been flooding into options and equities since 2020, and the post-ChatGPT wave has created genuine demand for LLM-powered research tools that go beyond basic screeners — the MCP protocol gaining traction in late 2024 adds a timely integration angle for developers already building in that ecosystem. Perplexity and Morningstar cover parts of this problem, but neither is purpose-built for pressure-testing a specific thesis against live RSS feeds and analyst sentiment in a single workflow, so there's no clear incumbent in this exact configuration. The $2k–10k/mo revenue band is plausible given that serious retail traders and DIY fund managers routinely pay for Bloomberg terminal lite-equivalents or premium Substack research, but it requires landing users who pay, not just users who are curious — the free-tier trap kills tools like this quickly. The biggest risk is that retail traders are notoriously price-sensitive and churn-heavy, and if the LLM outputs don't demonstrably improve trade outcomes (which is hard to prove and legally fraught to claim), retention collapses.