market-pattern

Original：🇺🇸 English

Translated

Detect and classify candlestick patterns from ingested OHLCV data

5installs

Added on2026-05-03

NPX Install

npx skill4agent add ruvnet/ruflo market-pattern

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

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

.

Load candles -- call
```
mcp__claude-flow__agentdb_hierarchical-recall
```
to retrieve normalized OHLCV data for the symbol and period from
```
market-data
```
namespace
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
Classify -- for each detection, assign: pattern name, type (reversal/continuation), direction (bullish/bearish), reliability score (0.0-1.0)
Rank -- sort by reliability score descending
Store -- call
```
mcp__claude-flow__agentdb_pattern-store
```
to persist each detected pattern in
```
market-patterns
```
namespace with the pattern vector
Report -- display: pattern name, date range, direction, reliability, suggested action

bash

npx @claude-flow/cli@latest memory search --query "bullish reversal patterns" --namespace market-patterns