trade-hypothesis-ideator

Generate falsifiable trade strategy hypotheses from market data, trade logs, and journal snippets. Use when you have a structured input bundle and want ranked hypothesis cards with experiment designs, kill criteria, and optional strategy.yaml export compatible with edge-finder-candidate/v1.

By tradermonty · 2,000 installs

npx skills add tradermonty/claude-trading-skills --skill trade-hypothesis-ideator

Source repository · Upstream listing

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 pyyaml installed No external API keys required (pure calculation skill) Workflow 1. Receive input JSON bundle. 2. Run pass 1 normalization + evidence extraction. 3. Generate hypotheses with prompts: prompts/system prompt.md prompts/developer prompt template.md (inject {{evidence summary}} ) 4. Critique hypotheses with prompts/critique prompt template.md . 5. Run pass 2 ranking + output formatting + guardrails. 6. Optionally export pursue hypotheses via Step H strategy exporter. Scripts Pass 1 (evidence summary): Pass 2 (rank + output + optional export): Output hypothesis cards <date .json — Ranked hypothesis cards with verdicts ( pursue , revise , discard ) hypothesis cards <date .md — Human readable summary with experiment designs and kill criteria strategy <hypothesis id .yaml — (Optional) Edge finder compatible strategy export for pursue cards metadata <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