// Explains common technical indicators (SMA, EMA, RSI, MACD) with quantitative intuition and example calculations
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
Analyzes current market state and short-term trends using ticker, candle, and narrative context
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 | indicator-guide |
| description | Explains common technical indicators (SMA, EMA, RSI, MACD) with quantitative intuition and example calculations |
| version | 0.1.0 |
| tags | ["indicators","education","technical-analysis"] |
| user_invocable | true |
| model_invocable | true |
| requires_tools | ["market_kline"] |
Explains common technical indicators (SMA, EMA, RSI, MACD) with quantitative intuition and example calculations.
market_kline: Optional OHLCV context when the user wants a concrete worked example on a symbol.User: Explain MACD in simple terms with numbers. Agent: MACD compares a fast and slow EMA of price, then smooths their difference (signal). For example, if fast EMA is 102 and slow EMA is 100, the MACD line is about +2; the signal line is an EMA of that series. Crossovers and histogram slope are common signal building blocks—always validate on your interval and costs.