Market Pattern

Scans OHLCV candlestick data for common chart patterns like doji, hammer, engulfing, and head-and-shoulders formations, then classifies each by type, direction, and reliability score. Expects you've already ingested market data via market-ingest, pulls it from memory, runs pattern detection across single to multi-candle sequences, and stores results in either the typed pattern store or a namespace-routable memory slot. Honestly most useful if you're building a signals pipeline and need structured pattern data you can query later. The dual-path storage is a bit quirky but gives you routing flexibility depending on whether your downstream tools care about namespaces or typed records.

skills.sh installs: 737
GitHub stars: 81.4K
last updated: Aug 21, 2026

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Install

$ npx -y skills add ruvnet/ruflo --skill market-pattern --agent claude-code

Installs into .claude/skills of the current project.

Files

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.