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:

bash

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:

bash

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