MCPInstall

market-pattern

Detect and classify candlestick patterns from ingested OHLCV data

Installs
736
Last 24h
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Install

Works with every agent the skills CLI supports.

npx skills add https://github.com/ruvnet/ruflo --skill market-pattern
  1. 01

    Install

    Run the command in your project. The CLI asks which agents to install for.

  2. 02

    Describe the task

    Ask your agent for something this skill covers. It loads market-pattern automatically when relevant.

  3. 03

    Review the result

    The agent follows the SKILL.md steps, scripts and references bundled with the skill.

SKILL.md

The instructions your agent reads when the skill is triggered.

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__plugin_ruflo-core_ruflo__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):
    • Pattern-store (typed, recommended): mcp__plugin_ruflo-core_ruflo__agentdb_pattern-store with type: 'market-pattern'. Don't pass a namespace arg — ReasoningBank routes it; on bridge unavailability the fallback writes to the reserved pattern namespace with controller: 'memory-store-fallback' (see ruflo-agentdb ADR-0001).
    • Plain store (namespace-routable): mcp__plugin_ruflo-core_ruflo__memory_store --namespace market-patterns — this DOES respect the market-patterns namespace because memory_* is namespace-routed.
  6. Report -- display: pattern name, date range, direction, reliability, suggested action

CLI alternative

npx @claude-flow/cli@latest memory search --query "bullish reversal patterns" --namespace market-patterns
npx @claude-flow/cli@latest memory store --key "pattern-AAPL-2026-05-04-doji" --value '{...}' --namespace market-patterns

FAQ

What does the market-pattern skill do?

Detect and classify candlestick patterns from ingested OHLCV data

How do I install market-pattern?

Run npx skills add https://github.com/ruvnet/ruflo --skill market-pattern in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/market-pattern/ (personal) or .claude/skills/market-pattern/ (project).

Which AI agents can use market-pattern?

Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.

Is market-pattern safe to install?

No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.

Who maintains market-pattern?

It is published by ruvnet in ruvnet/ruflo. It has 736 recorded installs.

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