Skip to content
Development
Skill

/market-ingest

Ingest and normalize market data into OHLCV vectors with HNSW indexing

From plugin
claude-flow
67k200 skills157 agents194 commands1 MCP
Install
$ npx -y skills add ruvnet/claude-flow --skill market-ingest --agent claude-code

How it fires

How this skill gets triggered: by you, by Claude, or both.

  • Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
  • You can call itInvoke it directly when you want it.
  • Slash command/market-ingest

Context preview

The summary Claude sees to decide when to auto-load this skill.

Ingest and normalize market data into OHLCV vectors with HNSW indexing

SKILL.md

market-ingest.SKILL.md
name: market-ingest
description: Ingest and normalize market data into OHLCV vectors with HNSW indexing
argument-hint: "<symbol> [--source api]"
allowed-tools: Bash mcp__plugin_ruflo-core_ruflo__memory_store mcp__plugin_ruflo-core_ruflo__memory_search mcp__plugin_ruflo-core_ruflo__ruvllm_hnsw_create mcp__plugin_ruflo-core_ruflo__ruvllm_hnsw_add mcp__plugin_ruflo-core_ruflo__embeddings_generate

Market Ingest

Fetch market data for a symbol, normalize to OHLCV vectors, and store with HNSW indexing for fast pattern search.

When to use

When you need to ingest raw market data (price and volume) for a symbol and prepare it for pattern detection and similarity search. This is the first step before running pattern detection or comparison.

Steps

1. **Fetch data** -- retrieve OHLCV data for the symbol from the configured data source (REST API, CSV file, or manual input) 2. **Normalize** -- convert raw prices to relative values:

  • Open: `(open - prev_close) / prev_close`
  • High: `(high - open) / open`
  • Low: `(low - open) / open`
  • Close: `(close - open) / open`
  • Volume: Z-score against rolling mean/std

3. **Vectorize** -- encode each candle as a 64-dimension padded vector (5 normalized OHLCV values + padding). For semantic embeddings of pattern descriptions, use `mcp__plugin_ruflo-core_ruflo__embeddings_generate` (NOT `embeddings_embed` — that tool name does not exist). 4. **Store** -- call `mcp__plugin_ruflo-core_ruflo__memory_store --namespace market-data` to persist normalized OHLCV data with symbol+date keys. The `memory_*` tool family routes by namespace; the `agentdb_hierarchical-*` family routes by tier (`working|episodic|semantic`) and ignores namespace strings, so use `memory_*` here. 5. **Index** -- call `mcp__plugin_ruflo-core_ruflo__ruvllm_hnsw_add` to add vectors to the HNSW index for nearest-neighbor search. 6. **Report** -- summarize: candles ingested, date range, price range, average volume

CLI alternative

npx @claude-flow/cli@latest memory store --namespace market-data --key "symbol-SYMBOL-DATE" --value "OHLCV_JSON"
Read more
Ships withclaude-flow

An agent meta-harness for Claude Code and Codex. Agent = Model + Harness. The model writes; the harness gives it tools, memory, loops, sandboxes, and controls so it can actually work.

Get the whole plugin

Other skills on claude-flow.