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Analyzes current market state and short-term trends using ticker, candle, and narrative context
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Basierend auf der SOC-Berufsklassifikation
Analyzes backtest results in plain language, connecting metrics to what they mean for the strategy
Guides the user through exchange connectivity and configuration safely, without handling secrets in chat
Explains common technical indicators (SMA, EMA, RSI, MACD) with quantitative intuition and example calculations
Explains profit and loss composition and attribution for paper accounts using engine-calculated breakdowns
Generates a risk assessment for current or hypothetical positions using engine rules and paper state
Generate valid EngineStrategyConfig YAML for PnLClaw strategies
| name | market-analysis |
| description | Analyzes current market state and short-term trends using ticker, candle, and narrative context |
| version | 0.1.0 |
| tags | ["market","analysis","data"] |
| user_invocable | true |
| model_invocable | true |
| requires_tools | ["market_ticker","market_kline","explain_market"] |
Analyzes current market state and short-term trends using ticker, candle, and narrative context.
market_ticker for last price, spread, and 24h change.market_kline for the latest OHLCV bar(s) as needed.explain_market to synthesize regime-style commentary from available data.market_ticker: Latest quote snapshot for a trading pair.market_kline: Recent candlestick data for structure and volatility.explain_market: Structured explanation of market state for the LLM-facing summary.User: Quick read on ETH/USDT before I adjust my strategy.
Agent: I will fetch market_ticker and market_kline for ETH/USDT, then use explain_market to summarize trend and volatility in plain language.