Individual skill

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.

skills/trade-hypothesis-ideator/SKILL.md

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Repository stars (not skill ratings): 3,772
Repository last updated: Nov 10, 2026
License: MIT

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SKILL.mdcore · 2,784 bytes
SKILL.mdcore · 2,784 bytes
SKILL.mdcore · 2,784 bytes
examples/example_input.jsonasset · 2,557 bytes
examples/example_output.jsonasset · 3,405 bytes
examples/sample_input.jsonasset · 1,843 bytes
prompts/critique_prompt_template.mddoc · 309 bytes
prompts/developer_prompt_template.mddoc · 405 bytes
prompts/system_prompt.mddoc · 406 bytes
references/evidence_quality_guide.mddoc · 654 bytes
references/hypothesis_types.mddoc · 428 bytes
requirements.txtdoc · 123 bytes
schemas/hypothesis_card.schema.jsonasset · 3,038 bytes
schemas/input_bundle.schema.jsonasset · 2,300 bytes
schemas/output_bundle.schema.jsonasset · 1,538 bytes
schemas/raw_hypotheses.schema.jsonasset · 388 bytes
scripts/pipeline/__init__.pyruns · 0 bytes
scripts/pipeline/evidence_extractor.pyruns · 3,851 bytes
scripts/pipeline/format_output.pyruns · 13,093 bytes
scripts/pipeline/normalize.pyruns · 6,727 bytes
scripts/pipeline/ranking.pyruns · 2,673 bytes
scripts/pipeline/strategy_exporter.pyruns · 10,055 bytes
scripts/run_hypothesis_ideator.pyruns · 6,824 bytes
scripts/tests/conftest.pyruns · 1,105 bytes
scripts/tests/test_evidence_extractor.pyruns · 2,749 bytes
scripts/tests/test_format_output.pyruns · 4,210 bytes
scripts/tests/test_guardrails.pyruns · 5,628 bytes
scripts/tests/test_normalize.pyruns · 5,474 bytes
scripts/tests/test_ranking.pyruns · 2,775 bytes
scripts/tests/test_strategy_exporter.pyruns · 8,187 bytes

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# 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`