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

1. Load edge_concepts.yaml.
2. Choose risk profile (conservative, balanced, aggressive).
3. Generate per-concept variants with hypothesis-type exit calibration.
4. 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.).
5. Clamp reward-to-risk at RR_FLOOR=1.5 to prevent C5 review failures.
6. Export v1-ready ticket YAML when applicable.
7. 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:

Resources

• skills/edge-strategy-designer/scripts/design_strategy_drafts.py
• references/strategy_draft_schema.md
• skills/edge-candidate-agent/scripts/export_candidate.py