trader-signal

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Translated

Generate trading signals using npx neural-trader anomaly detection engine with Z-score scoring and neural prediction

6installs

Added on2026-05-03

NPX Install

npx skill4agent add ruvnet/ruflo trader-signal

Generate trading signals using neural-trader's anomaly detection engine.

Steps:

Ensure neural-trader is available:

npm ls neural-trader 2>/dev/null || npm install neural-trader

Scan for signals:

bash

npx neural-trader --signal scan --symbols <TICKERS>

With a specific strategy:

bash

npx neural-trader --signal scan --strategy <name> --symbols <TICKERS>

If --strategy specified, load strategy filters:

mcp__claude-flow__memory_retrieve({ key: "strategy-NAME", namespace: "trading-strategies" })

Use SONA for regime prediction:

mcp__claude-flow__neural_predict({ input: "anomaly types: [DETECTED], scores: [SCORES]" })

Search historical pattern matches:

mcp__claude-flow__agentdb_pattern-search({ query: "ANOMALY_TYPE score RANGE", namespace: "trading-signals" })

Present ranked signals: instrument, direction, confidence, anomaly type, entry/stop/target

Store signals:

mcp__claude-flow__memory_store({ key: "signal-TIMESTAMP", value: "SIGNALS_JSON", namespace: "trading-signals" })