Skill Market

trader regime

Detect current market regime using npx neural-trader — bull/bear/ranging/volatile classification with recommended strategy

GitHub
githubcommunityclaudemcp
0.0
0 installs73.4K GitHub starsby ruvnet

Skill Introduction

Overview
Detect current market regime using npx neural-trader — bull/bear/ranging/volatile classification with recommended strategy

Core value

Turns reusable Development know-how into an installable skill, helping users complete github, community, claude, mcp work faster.

Target users

  • Developers, testers, and maintainers who handle Development tasks in Focus Code.
  • Teams that already trust workflows or content from ruvnet.
  • Users who want standardized prompts, steps, or conventions instead of repeating setup work.

Best practices

  • Read the skill content first to confirm required inputs, expected outputs, and dependencies.
  • Try it on a small task before relying on it for critical work.
  • Add project-specific constraints such as coding style, target platform, test expectations, and delivery format.
  • For external sources, verify the source link, version, and recent maintenance activity.

Best use cases

  • Tasks related to github, community, claude, mcp that need a reusable execution flow.
  • Converting a community repo, team convention, or personal workflow into day-to-day assistance.
  • Starting from a proven skill instead of writing prompts or procedures from scratch.

Limits and boundaries

  • Results depend on the quality of the original skill content and may need human correction.
  • It does not replace code review, tests, security review, or professional judgment.
  • External tools, APIs, account permissions, and local dependencies still need separate setup.

Differentiation

  • Structured around Development, making it easier to discover and reuse than loose prompt snippets.
  • Marked as GitHub, which helps users judge trust and maintenance expectations.
  • Keeps the original source link available for repository, documentation, or discussion follow-up.
  • Tagged with github, community, claude, mcp, so it can be filtered by concrete task intent.

Install and use

Install
Copy Install Command
focus install trader-regime-abf148
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Detail Preview

SKILL.md

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name: trader-regime description: Detect current market regime using npx neural-trader — bull/bear/ranging/volatile classification with recommended strategy allowed-tools: Bash Read mcp__claude-flow__memory_store mcp__claude-flow__memory_search mcp__claude-flow__neural_predict argument-hint: "[--symbol SPY] [--symbols AAPL,MSFT]"

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__claude-flow__neural_predict({ input: "indicators: RSI=X, ADX=Y, VIX=Z" })
  5. Search for similar historical regimes: mcp__claude-flow__memory_search({ query: "regime similar to CURRENT", namespace: "trading-analysis" })
  6. Present: regime classification, confidence, recommended strategy type, historical precedents
  7. Store analysis: mcp__claude-flow__memory_store({ key: "regime-DATE", value: "REGIME_ANALYSIS", namespace: "trading-analysis" })

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