How to use
- Copy the installation command and review the source package before installing it in your own agent environment.
- Check the source document for required tools, credentials and supported hosts.
- Describe your input and desired deliverable; review the output against the source material.
npx skills add https://github.com/tradermonty/claude-trading-skills --skill trade-hypothesis-ideatorBefore you start
- Installation does not include a model subscription, API allowance or permission to access your files.
- Repository stars and installation counts describe activity, not an independent quality or security test.
Rendered from the source repository. Headings, examples, code, tables, links, and referenced images are preserved.
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


