MCPInstall

trader-regime

by ruvnet

Detect current market regime using npx neural-trader — bull/bear/ranging/volatile classification with recommended strategy. Use when the user asks about market conditions, wants to pick a strategy for current conditions, or before running a backtest/signal that should be regime-aware.

Installs
731
Last 24h
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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-regime
  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 trader-regime 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.

Detect the current market regime using neural-trader's regime detection engine.

Steps:

  1. Ensure neural-trader is available: npm ls neural-trader 2>/dev/null || npm install --ignore-scripts neural-trader
  2. Run regime detection: 
    npx neural-trader --regime-detect --symbol TICKER
    For multiple symbols: 
    npx neural-trader --regime-detect --symbols "AAPL,MSFT,GOOGL,AMZN"
  3. Get technical indicators for context: 
    npx neural-trader --symbol TICKER --indicators rsi,macd,bollinger,adx,atr
  4. Use SONA for regime prediction: mcp__plugin_ruflo-core_ruflo__neural_predict({ input: "indicators: RSI=X, ADX=Y, VIX=Z" })
  5. Search for similar historical regimes: mcp__plugin_ruflo-core_ruflo__memory_search({ query: "regime similar to CURRENT", namespace: "trading-analysis" })
  6. Present: regime classification, confidence, recommended strategy type, historical precedents
  7. Store analysis: mcp__plugin_ruflo-core_ruflo__memory_store({ key: "regime-DATE", value: "REGIME_ANALYSIS", namespace: "trading-analysis" })

FAQ

What does the trader-regime skill do?

Detect current market regime using npx neural-trader — bull/bear/ranging/volatile classification with recommended strategy. Use when the user asks about market conditions, wants to pick a strategy for current conditions, or before running a backtest/signal that should be regime-aware.

How do I install trader-regime?

Run npx skills add https://github.com/ruvnet/ruflo --skill trader-regime 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-regime/ (personal) or .claude/skills/trader-regime/ (project).

Which AI agents can use trader-regime?

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-regime 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-regime?

It is published by ruvnet in ruvnet/ruflo. It has 731 recorded installs.

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