trader-signal
Generate trading signals using npx neural-trader anomaly detection engine with Z-score scoring and neural prediction
npx skills add ruvnet/ruflo --skill trader-signal --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
Generate trading signals using neural-trader's anomaly detection engine. Steps: 1. Ensure neural-trader is available: `npm ls neural-trader 2>/dev/null || npm install --ignore-scripts neural-trader` 2. 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> ``` 3. If --strategy specified, load strategy filters: `mcp__plugin_ruflo-core_ruflo__memory_retrieve({ key: "strategy-NAME", namespace: "trading-strategies" })` 4. neural-trader classifies anomalies automatically: - **spike** (maxZ > 5): breakout — momentum entry or mean-reversion fade - **drift** (sustained high Z): trend forming — trend-following signal - **flatline** (low Z): consolidation — prepare for breakout - **oscillation** (alternating): range-bound — mean-reversion at extremes - **pattern-break** (multiple dims): regime change — close and reassess - **cluster-outlier** (>50% dims): multi-factor dislocation — arbitrage 5. Use SONA for regime prediction: `mcp__plugin_ruflo-core_ruflo__neural_predict({ input: "anomaly types: [DETECTED], scores: [SCORES]" })` 6. Search historical pattern match
npx neural-trader --signal scan --symbols <TICKERS> npx neural-trader --signal scan --strategy <name> --symbols <TICKERS>
What does the trader-signal skill do?
Generate trading signals using npx neural-trader anomaly detection engine with Z-score scoring and neural prediction
How do I install it?
Run `npx skills add ruvnet/ruflo --skill trader-signal --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From ruvnet/ruflo, a repository with 67,015 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.