Turn trading hypotheses into concrete strategy drafts with multiple variants and a chosen risk profile. Adjust exit settings by hypothesis type, then optionally export YAML tickets, structured files that a downstream tool can validate and process.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
Convert abstract edge concepts into strategy draft variants and optional exportable ticket YAMLs for edge-candidate-agent export/validation.
실행 점수 미검증
설치 방법 보기설치하기 전에 에이전트에게 전달되는 지시 내용을 확인할 수 있습니다.
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.py아직 리뷰가 없습니다. 사용해 본 소감을 남겨 주세요.
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Plan and assess backtests, which test trading rules against historical data. Examine sensitivity to rule changes, trading costs, and data bias, then use supplied performance metrics to generate a structured evaluation with reasons that block adoption.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
Assess how broadly US stock market gains are shared across stocks using public CSV data and optional charts. Produce English reports covering market conditions, trading signals, scenarios, and positioning for different investment timeframes.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
Analyze chart images showing how broadly US stocks are participating in market trends. Assess medium-term conditions and short-term signals, then produce an English report with positioning guidance, alternative scenarios, and risks based on the visible data.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
Turn VCP screening results, which identify narrowing price swings, into breakout trade plans. Calculate entry, stop-loss, target prices, and position sizes using worst-case entries, while applying portfolio risk limits and producing Alpaca-compatible order templates.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
Screen US growth stocks with William O'Neil's CANSLIM method, which evaluates seven factors including earnings, price strength, trading volume, and market direction. Receive ranked candidates with composite scores, factor breakdowns, market warnings, and data quality notes.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
Combine three reports on crowded positions, failed reactions to news, and weekly price reversals into one trading setup status. Identify missing or invalid evidence and determine whether the setup is ready for planning.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.