market-pattern
Detect and classify candlestick patterns from ingested OHLCV data
Best for tradersWorks with GitHubLow risk
⌘source
- author
@ruvnet- repo
- ruvnet/ruflo
- language
- TypeScript
★46kstars
5.1kforks
May 5, 2026
✦overview.md
Key Features
- ·Detects single, two, three, and multi-candle patterns
- ·Classifies patterns by type and reliability
- ·Stores results for future reference
- ·Works with ingested OHLCV data
Use Cases
- →Identify candlestick patterns in historical market data
- →Classify patterns as reversal or continuation signals
- →Store pattern detections for backtesting or strategy development
Best for
- ✓traders
- ✓quantitative analysts
- ✓market data exploration
Not ideal for
- !real-time trading without pre-ingested data
FAQs
name
market-pattern
description
Detect and classify candlestick patterns from ingested OHLCV data
argument-hint:<symbol> [--period 1D]
allowed-tools:mcp__claude-flow__memory_search mcp__claude-flow__memory_list mcp__claude-flow__memory_store mcp__claude-flow__agentdb_pattern-store mcp__claude-flow__agentdb_pattern-search mcp__claude-flow__ruvllm_hnsw_route Bash
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
- Load candles -- call
mcp__claude-flow__memory_search(ormemory_list) on themarket-datanamespace to retrieve normalized OHLCV data for the symbol and period. Thememory_*tool family routes by namespace; theagentdb_hierarchical-*family does NOT (it routes by tier), so usememory_*for namespaced reads. - 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)
$install
1-click copynpx skills add ruvnet/ruflo --skill market-patternSafety assessment
★
Clarity score
How clear and easy to understand the SKILL.md instructions are, rated from 1 to 5.
4/ 5
very goodClear and well structured, with only minor parts that might need a second read.
◎
Actionability score
How directly an agent can act on the SKILL.md instructions, rated from 1 to 5.
4/ 5
highMostly actionable with clear steps; only a few small gaps remain.