Edge Strategy Designer

Bridges the gap between high-level edge hypotheses and concrete strategy specifications by generating multiple risk-calibrated variants (conservative, balanced, aggressive) from your edge_concepts.yaml file. The main value is the hypothesis-type-aware exit calibration: breakout strategies get different stop-loss and reward-to-risk parameters than panic reversals or earnings drift plays. It clamps reward-to-risk at 1.5 minimum to avoid downstream validation failures and can optionally export v1-ready ticket YAMLs that plug straight into the edge-candidate-agent export pipeline. Useful when you've synthesized concepts and need testable strategy specs without manually tuning exits for each hypothesis type.