Market Pattern

Scan ingested OHLCV data for known candlestick patterns, classify them by type and reliability, and store for future reference.

When to use

When you need to identify candlestick patterns (doji, hammer, engulfing, head-shoulders, etc.) in market data. Requires data to be ingested first via market-ingest.

Steps

1. Load candles -- call mcp__claude-flow__memory_search (or memory_list) on the market-data namespace to retrieve normalized OHLCV data for the symbol and period. The memory_* tool family routes by namespace; the agentdb_hierarchical-* family does NOT (it routes by tier), so use memory_* for namespaced reads.
2. Scan for patterns -- iterate through candle sequences looking for:
   • Single-candle: doji (open ~= close), hammer (long lower wick), inverted hammer
   • Two-candle: bullish/bearish engulfing
   • Three-candle: morning star, evening star, three white soldiers, three black crows
   • Multi-candle: head & shoulders, double top/bottom, cup & handle
3. Classify -- for each detection, assign: pattern name, type (reversal/continuation), direction (bullish/bearish), reliability score (0.0-1.0)
4. Rank -- sort by reliability score descending
5. Store -- two paths (per ruflo-cost-tracker ADR-0001 dual-path pattern):