Pnlclaw-community

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

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

Helps users create quantitative strategies through guided conversation and validation