edge-strategy-designer

Edge Strategy Designer Overview Translate concept-level hypotheses into concrete strategy draft specs. This skill sits after concept synthesis and before pipeline export validation. When to Use You have edge_concepts.yaml and need strategy candidates. You want multiple variants (core/conservative/research-probe) per concept. You want optional exportable ticket files for interface v1 families. Prerequisites Python 3.9+ PyYAML edge_concepts.yaml produced by concept synthesis Output strategy_drafts/.yaml strategy_drafts/run_manifest.json Optional exportable_tickets/.yaml for downstream export_candidate.py Workflow Load edge_concepts.yaml . Choose risk profile ( conservative , balanced , aggressive ). Generate per-concept variants with hypothesis-type exit calibration. Apply HYPOTHESIS_EXIT_OVERRIDES to adjust stop-loss, reward-to-risk, time-stop, and trailing-stop per hypothesis type (breakout, earnings_drift, panic_reversal, etc.). Clamp reward-to-risk at RR_FLOOR=1.5 to prevent C5 review failures. Export v1-ready ticket YAML when applicable. Hand off exportable tickets to skills/edge-candidate-agent/scripts/export_candidate.py . Quick Commands Generate drafts only: python3 skills/edge-strategy-designer/scripts/design_strategy_drafts.py \ --concepts /tmp/edge-concepts/edge_concepts.yaml \ --output-dir /tmp/strategy-drafts \ --risk-profile balanced Generate drafts + exportable tickets: python3 skills/edge-strategy-designer/scripts/design_strategy_drafts.py \ --concepts /tmp/edge-concepts/edge_concepts.yaml \ --output-dir /tmp/strategy-drafts \ --exportable-tickets-dir /tmp/exportable-tickets \ --risk-profile conservative Resources skills/edge-strategy-designer/scripts/design_strategy_drafts.py references/strategy_draft_schema.md skills/edge-candidate-agent/scripts/export_candidate.py