AI Price Patterns provides historical market memory for AI agents through semantic vector search across years of financial market data. Use it to discover similar market regimes, analyze historical price patterns, retrieve market context, and accelerate quantitative research. Designed for algorithmic trading, quantitative finance, reinforcement learning, and autonomous AI agents. Features: • Semantic vector search • Historical market memory • Pattern similarity discovery • Market regime analysis • Quantitative research • Remote HTTP MCP • Works with Claude, Cursor, ChatGPT, Codex, VS Code and other MCP-compatible clients.
First seen 2 Oct 2026. One server, whatever directories list it: each directory listing keeps its own page and history.
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| Directory | Listing | Tier | First seen |
|---|---|---|---|
| Smithery | aipricepatterns | - | 2 Oct 2026 |