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edge-strategy-designer

スター3

フォーク1

更新日2026年5月1日 17:55

Convert abstract edge concepts into strategy draft variants and optional exportable ticket YAMLs for edge-candidate-agent export/validation.

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levalencia

levalencia/agent-god-mode

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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

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Generate and prioritize US equity long-side edge research tickets from EOD observations, then export pipeline-ready candidate specs for trade-strategy-pipeline Phase I. Use when users ask to turn hypotheses/anomalies into reproducible research tickets, convert validated ideas into `strategy.yaml` + `metadata.json`, or preflight-check interface compatibility (`edge-finder-candidate/v1`) before running pipeline backtests.

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Abstract detector tickets and hints into reusable edge concepts with thesis, invalidation signals, and strategy playbooks before strategy design/export.

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edge-hint-extractor

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Extract edge hints from daily market observations and news reactions, with optional LLM ideation, and output canonical hints.yaml for downstream concept synthesis and auto detection.

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edge-pipeline-orchestrator

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Orchestrate the full edge research pipeline from candidate detection through strategy design, review, revision, and export. Use when coordinating multi-stage edge research workflows end-to-end.

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edge-strategy-reviewer

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Critically review strategy drafts from edge-strategy-designer for edge plausibility, overfitting risk, sample size adequacy, and execution realism. Use when strategy_drafts/*.yaml exists and needs quality gate before pipeline export. Outputs PASS/REVISE/REJECT verdicts with confidence scores.

2026-05-013

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

name	edge-strategy-designer
description	Convert abstract edge concepts into strategy draft variants and optional exportable ticket YAMLs for edge-candidate-agent export/validation.