// Helps users create quantitative strategies through guided conversation and validation
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
| name | strategy-draft |
| description | Helps users create quantitative strategies through guided conversation and validation |
| version | 0.1.0 |
| tags | ["strategy","quant","drafting"] |
| user_invocable | true |
| model_invocable | true |
| requires_tools | ["strategy_validate"] |
Helps users create quantitative strategies through guided conversation and validation.
strategy_validate with a complete strategy config object and iterate on errors.strategy_validate: Check parameter ranges, indicator availability, and config consistency before backtesting.User: I want a simple SMA crossover on BTC/USDT hourly with 10 and 50 periods.
Agent: Here is a draft config. I will run strategy_validate with symbols BTC/USDT, interval 1h, and parameters sma_short=10, sma_long=50. If validation passes, we can refine entry/exit rules or move to a backtest.