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Detect current market regime using npx neural-trader — bull/bear/ranging/volatile classification with recommended strategy
Spawn nested sub-agents (agents that spawn sub-agents, up to depth=5) via Claude Code's native Task tool — for context-managed deep delegation
Author a workflow — either an MCP workflow template (persisted, lifecycle) or a native .claude/workflows/*.js orchestration script (agent/parallel/pipeline fan-out)
Run a workflow — drive an MCP workflow lifecycle (execute/pause/resume/cancel) or invoke + resume a native .claude/workflows/*.js orchestration via the Workflow tool
Side-by-side comparison of ruflo vs HAL vs other GAIA harnesses — capability gaps, design decisions, and improvement roadmap
Diagnose why a GAIA question failed — extract trace, classify failure mode, and propose a fix
Walk through a complete GAIA benchmark→submit flow — from key resolution through HAL-compatible package generation
| 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:
npm ls neural-trader 2>/dev/null || npm install --ignore-scripts neural-tradernpx neural-trader --regime-detect --symbol TICKER
npx neural-trader --regime-detect --symbols "AAPL,MSFT,GOOGL,AMZN"
npx neural-trader --symbol TICKER --indicators rsi,macd,bollinger,adx,atr
mcp__claude-flow__neural_predict({ input: "indicators: RSI=X, ADX=Y, VIX=Z" })mcp__claude-flow__memory_search({ query: "regime similar to CURRENT", namespace: "trading-analysis" })mcp__claude-flow__memory_store({ key: "regime-DATE", value: "REGIME_ANALYSIS", namespace: "trading-analysis" })