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edge-strategy-designer
Convert abstract edge concepts into strategy draft variants and optional exportable ticket YAMLs for edge-candidate-agent export/validation.
用 Codex 或 Claude 帮你安装 复制这段 Prompt,粘贴到 Codex、Claude 或其他助手里,让它检查 Skill 页面并帮你完成安装。
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Convert abstract edge concepts into strategy draft variants and optional exportable ticket YAMLs for edge-candidate-agent export/validation.
用 Codex 或 Claude 帮你安装 复制这段 Prompt,粘贴到 Codex、Claude 或其他助手里,让它检查 Skill 页面并帮你完成安装。
基于 SOC 职业分类
Quick backtest a strategy on a symbol. Creates a complete .py script with data fetch, signals, backtest, stats, and plots.
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.
Abstract detector tickets and hints into reusable edge concepts with thesis, invalidation signals, and strategy playbooks before strategy design/export.
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.
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.
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.
| name | edge-strategy-designer |
| description | Convert abstract edge concepts into strategy draft variants and optional exportable ticket YAMLs for edge-candidate-agent export/validation. |
Translate concept-level hypotheses into concrete strategy draft specs. This skill sits after concept synthesis and before pipeline export validation.
edge_concepts.yaml and need strategy candidates.PyYAMLedge_concepts.yaml produced by concept synthesisstrategy_drafts/*.yamlstrategy_drafts/run_manifest.jsonexportable_tickets/*.yaml for downstream export_candidate.pyedge_concepts.yaml.conservative, balanced, aggressive).HYPOTHESIS_EXIT_OVERRIDES to adjust stop-loss, reward-to-risk, time-stop, and trailing-stop per hypothesis type (breakout, earnings_drift, panic_reversal, etc.).RR_FLOOR=1.5 to prevent C5 review failures.skills/edge-candidate-agent/scripts/export_candidate.py.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
skills/edge-strategy-designer/scripts/design_strategy_drafts.pyreferences/strategy_draft_schema.mdskills/edge-candidate-agent/scripts/export_candidate.py