trader-signal
Generate trading signals using npx neural-trader anomaly detection engine with Z-score scoring and neural prediction
- Installs
- 744
- Last 24h
- —
- Trending rank
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- Security
- Not audited
Install
Works with every agent the skills CLI supports.
npx skills add https://github.com/ruvnet/ruflo --skill trader-signal- 01
Install
Run the command in your project. The CLI asks which agents to install for.
- 02
Describe the task
Ask your agent for something this skill covers. It loads trader-signal automatically when relevant.
- 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.
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 --ignore-scripts neural-trader - Scan for signals:
With a specific strategy:
npx neural-trader --signal scan --symbols <TICKERS>npx neural-trader --signal scan --strategy <name> --symbols <TICKERS> - If --strategy specified, load strategy filters:
mcp__plugin_ruflo-core_ruflo__memory_retrieve({ key: "strategy-NAME", namespace: "trading-strategies" }) - 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
- Use SONA for regime prediction:
mcp__plugin_ruflo-core_ruflo__neural_predict({ input: "anomaly types: [DETECTED], scores: [SCORES]" }) - Search historical pattern matches:
mcp__plugin_ruflo-core_ruflo__agentdb_pattern-search({ query: "ANOMALY_TYPE score RANGE", namespace: "trading-signals" }) - Present ranked signals: instrument, direction, confidence, anomaly type, entry/stop/target
- Store signals with a 24-hour TTL (intraday signals shouldn't pollute long-running memory; the
MemoryConsolidator.sweepExpired()pass introduced in ADR-125 Phase 4 — shipped in@claude-flow/memory@3.0.0-alpha.18— sweeps them out after they expire):mcp__plugin_ruflo-core_ruflo__memory_store({ key: "signal-TIMESTAMP", value: "SIGNALS_JSON", namespace: "trading-signals", expiresAt: Date.now() + 24 * 60 * 60 * 1000 })
FAQ
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 trader-signal?
Run npx skills add https://github.com/ruvnet/ruflo --skill trader-signal 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/trader-signal/ (personal) or .claude/skills/trader-signal/ (project).
Which AI agents can use trader-signal?
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 trader-signal 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 trader-signal?
It is published by ruvnet in ruvnet/ruflo. It has 744 recorded installs.
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