使用方法
- 复制安装命令,在自己的智能体环境安装前先检查源码包。
- 从原始文档核对所需工具、凭据和支持的宿主。
- 说明输入材料与期望交付物,并对照来源检查输出。
npx skills add https://github.com/tradermonty/claude-trading-skills --skill trade-hypothesis-ideator开始前需了解
- 安装不包含模型订阅、API 额度或访问文件的权限。
- 仓库星数和安装量反映活跃情况,不等于独立质量或安全测试。
按源仓库内容呈现,保留标题、案例、代码、表格、链接以及原文引用的演示图片。
Trade Hypothesis Ideator
Generate 1-5 structured hypothesis cards from a normalized input bundle, critique and rank them, then optionally export pursue cards into strategy.yaml + metadata.json artifacts.
When to Use
- After gathering trade logs, journal entries, or market observations that suggest a potential edge
- When you have a structured input bundle (JSON) with evidence snippets and want falsifiable hypotheses
- To bridge qualitative observations into quantitative experiment designs
- Before committing capital to validate a new strategy idea with kill criteria
Prerequisites
- Input JSON bundle with one or more of:
trade_log,journal_snippets,market_data,observations - Python 3.9+ with
pyyamlinstalled - No external API keys required (pure calculation skill)
Workflow
- Receive input JSON bundle.
- Run pass 1 normalization + evidence extraction.
- Generate hypotheses with prompts:
prompts/system_prompt.mdprompts/developer_prompt_template.md(inject{{evidence_summary}})
- Critique hypotheses with
prompts/critique_prompt_template.md. - Run pass 2 ranking + output formatting + guardrails.
- Optionally export
pursuehypotheses via Step H strategy exporter.
Scripts
- Pass 1 (evidence summary):
python3 skills/trade-hypothesis-ideator/scripts/run_hypothesis_ideator.py \
--input skills/trade-hypothesis-ideator/examples/example_input.json \
--output-dir reports/- Pass 2 (rank + output + optional export):
python3 skills/trade-hypothesis-ideator/scripts/run_hypothesis_ideator.py \
--input skills/trade-hypothesis-ideator/examples/example_input.json \
--hypotheses reports/raw_hypotheses.json \
--output-dir reports/ \
--export-strategiesOutput
hypothesis_cards_<date>.json— Ranked hypothesis cards with verdicts (pursue,revise,discard)hypothesis_cards_<date>.md— Human-readable summary with experiment designs and kill criteriastrategy_<hypothesis_id>.yaml— (Optional) Edge-finder-compatible strategy export forpursuecardsmetadata_<hypothesis_id>.json— (Optional) Provenance metadata for exported strategies
Resources
references/hypothesis_types.md— Taxonomy of hypothesis patterns (mean-reversion, momentum, event-driven, etc.)references/evidence_quality_guide.md— Criteria for rating evidence strength and sample size requirements


