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Detect current market regime using npx neural-trader — bull/bear/ranging/volatile classification with recommended strategy
---
name: trader-regime-16af823373ce
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:
```bash
npx neural-trader --regime-detect --symbol TICKER
```
For multiple symbols:
```bash
npx neural-trader --regime-detect --symbols "AAPL,MSFT,GOOGL,AMZN"
```
3. Get technical indicators for context:
```bash
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" })`
---
name: trader-regime-16af823373ce
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:
```bash
npx neural-trader --regime-detect --symbol TICKER
```
For multiple symbols:
```bash
npx neural-trader --regime-detect --symbols "AAPL,MSFT,GOOGL,AMZN"
```
3. Get technical indicators for context:
```bash
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" })`
Imported from the listed AgentSkill.sh category. Complete supplied package files and notices are retained. Required external tools and credentials are not installed. No bundled code was executed during import. Individual agent task behavior has not been tested.