Group raw detection records into reusable concepts before designing strategies. The skill produces a YAML file with shared conditions, supporting evidence counts, hypotheses, signals that would invalidate them, and readiness flags for strategy drafting.
中文简介正在准备中。当前显示英语简介。
Abstract detector tickets and hints into reusable edge concepts with thesis, invalidation signals, and strategy playbooks before strategy design/export.
实测评分 未实测
查看安装方法安装前可以查看交给 AI 代理的指令内容。
Create an abstraction layer between detection and strategy implementation.
This skill clusters ticket evidence, summarizes recurring conditions, and outputs edge_concepts.yaml with explicit thesis and invalidation logic.
PyYAMLtickets/exportable, tickets/research_only)hints.yamledge_concepts.yaml containing:
hints.yaml for context matching.scripts/synthesize_edge_concepts.py.python3 skills/edge-concept-synthesizer/scripts/synthesize_edge_concepts.py \
--tickets-dir /tmp/edge-auto/tickets \
--hints /tmp/edge-hints/hints.yaml \
--output /tmp/edge-concepts/edge_concepts.yaml \
--min-ticket-support 2
# With hint promotion and synthetic cap
python3 skills/edge-concept-synthesizer/scripts/synthesize_edge_concepts.py \
--tickets-dir /tmp/edge-auto/tickets \
--hints /tmp/edge-hints/hints.yaml \
--output /tmp/edge-concepts/edge_concepts.yaml \
--promote-hints \
--max-synthetic-ratio 1.5
# With custom dedup threshold (or disable dedup)
python3 skills/edge-concept-synthesizer/scripts/synthesize_edge_concepts.py \
--tickets-dir /tmp/edge-auto/tickets \
--output /tmp/edge-concepts/edge_concepts.yaml \
--overlap-threshold 0.6
python3 skills/edge-concept-synthesizer/scripts/synthesize_edge_concepts.py \
--tickets-dir /tmp/edge-auto/tickets \
--output /tmp/edge-concepts/edge_concepts.yaml \
--no-dedup
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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.
中文简介正在准备中。当前显示英语简介。
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.
中文简介正在准备中。当前显示英语简介。
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.
中文简介正在准备中。当前显示英语简介。
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.
中文简介正在准备中。当前显示英语简介。
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.
中文简介正在准备中。当前显示英语简介。
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.
中文简介正在准备中。当前显示英语简介。