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Explains profit and loss composition and attribution for paper accounts using engine-calculated breakdowns
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Basé sur la classification professionnelle SOC
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
Generates a risk assessment for current or hypothetical positions using engine rules and paper state
Generate valid EngineStrategyConfig YAML for PnLClaw strategies
| name | pnl-explain |
| description | Explains profit and loss composition and attribution for paper accounts using engine-calculated breakdowns |
| version | 0.1.0 |
| tags | ["pnl","explanation","paper-trading"] |
| user_invocable | true |
| model_invocable | true |
| requires_tools | ["explain_pnl","paper_pnl"] |
Explains profit and loss composition and attribution for paper accounts using engine-calculated breakdowns.
account_id (and optional symbol filter).paper_pnl for aggregate and per-symbol PnL figures where available.explain_pnl for realized vs unrealized decomposition and narrative detail.explain_pnl: Decompose realized and unrealized PnL with per-position context.paper_pnl: Query paper account-level PnL summaries for quick numeric grounding.User: Explain my PnL on account paper-123.
Agent: I will call paper_pnl for the headline numbers, then explain_pnl with account_id paper-123 to break down realized vs unrealized drivers.