aipricepatterns
AI Price Patterns provides historical market memory for AI agents through semantic vector search across years of financial market data.
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What it can do
- Pattern Search: Search for similar historical price patterns in the RLX database.
- Get Track Record: Public forecast track record: every closed bar the engine logs its own forecast BEFORE the outcome is known, then grades it against reality. Returns direction hit rate, p10-p90 band
- Search By Sketch: Search for historical patterns similar to a custom 'sketched' price trajectory (Sketch-to-Search). Useful when you want to find matches for a hypothetical or hand-drawn pattern.
What data it sees
Do you need an account
No: the server works without sign-in
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.
Server tool list (12)
Raw names from tools/list. Only developers need these.
| pattern_search | Search for similar historical price patterns in the RLX database. |
| get_track_record | Public forecast track record: every closed bar the engine logs its own forecast BEFORE the outcome is known, then grades it against reality. Returns direction hit rate, p10-p90 band coverage vs the nominal 80%, mean abs error, the active conformal calibration scale, and recent forecast-vs-actual rows. Use this to verify the engine's calibration before trusting its forecasts. |
| search_by_sketch | Search for historical patterns similar to a custom 'sketched' price trajectory (Sketch-to-Search). Useful when you want to find matches for a hypothetical or hand-drawn pattern. |
| backtest_strategy | Perform a full strategy backtest over a historical period (Walk-forward analysis). Use this for testing general rules or long-term performance. |
| get_pattern_metrics | Retrieve advanced statistical metrics and forecast distributions for a pattern search result. |
| get_trading_decision | Return a compact trader decision card for a symbol/interval: TRADEABLE, WATCH, or SKIP with direction, confidence, evidence, risk, reasons, and caveats. |
| forecast_private_memory_from_data | Create or reuse a private dataset, import candle data, and return a compact forecast card in one call. Ideal for users who want to upload exchange or ML-derived candle history, inspect analogues immediately, and only then decide whether to run RLXBT. |
| detect_market_regime | Classify current market state into one of the known market regimes. |
| get_live_polymarket_trade_decision | Auto-discover the active BTC Up/Down 15m Polymarket market, combine live Polymarket pricing with pattern memory and intrabar momentum, and return BUY_YES, BUY_NO, or SKIP with entry guardrails. |
| get_api_guide | Returns the full documentation and workflow guide for this MCP server. Call this first to understand all available tools, their use cases, and how to combine them. Includes: tool catalog, recommended workflows for Polymarket research, historical analog analysis, and example calls. |
| find_market_analogs | Find historical price patterns similar to the current (or specified) market state. Returns a list of past dates when the same pattern occurred, the price outcome after each analog, and aggregate statistics (win rate, median return, percentile range). Use cases: (1) pre-news analysis — filter by timeOfDayUTC to find analogs that happened near a specific event time (e.g., FOMC at 14:00 UTC); (2) regime research — understand historically what happens after this pattern; (3) Polymarket context — combine with get_polymarket_probabilities to validate signal with historical evidence. Returns a plain-English summary suitable for agent reasoning. |
| get_mcp_compatibility_manifest | Return the versioned MCP compatibility manifest, including canonical tools, aliases, and JSON argument schemas for remote clients. |