Agent skill

Trade Hypothesis Ideator

by tradermonty in tradermonty/claude-trading-skills

Generate falsifiable trade strategy hypotheses from market data, trade logs, and journal snippets.

MITAuto-check passedResearch & Science

Install Trade Hypothesis Ideator

skills CLI
$ npx skills add tradermonty/claude-trading-skills --skill trade-hypothesis-ideator -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install tradermonty/claude-trading-skills trade-hypothesis-ideator --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/tradermonty/claude-trading-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/trade-hypothesis-ideator .claude/skills/trade-hypothesis-ideator && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
trade-hypothesis-ideator
GitHub stars
3k
Used in
1 other repo
Token cost
~693 tokens
SKILL.md length
214 words
Files
29 (incl. scripts, references)
Skills in repo
74
Repo updated
First seen
Licence
MIT

At a glance

Generate falsifiable trade strategy hypotheses from market data, trade logs, and journal snippets.

  • Works in 6 steps: Receive input JSON bundle. → Run pass 1 normalization + evidence… → Generate hypotheses with prompts → …
  • You have a structured input bundle and want ranked hypothesis cards with experiment designs
  • SKILL.md covers When to Use, Prerequisites, Workflow and Scripts, plus 2 more sections
  • Runs Python scripts from its folder; calls python3

What it does

Trade Hypothesis Ideator is an agent skill from tradermonty/claude-trading-skills. 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.

Its SKILL.md is about 690 tokens, which your agent loads only when the skill is triggered. The skill folder holds 34 other files, including scripts and reference files (for example `examples/example_input.json`, `examples/example_output.json` and `examples/sample_input.json`).

It sits in Research & Science, covering Experimental design and Stock and market analysis. The repository describes itself as: Claude Code skills for equity investors and traders — market analysis, technical charting, economic calendars, screeners, and trading strategy development. The licence is MIT.

When your agent uses it

  • You have a structured input bundle and want ranked hypothesis cards with experiment designs
  • Optional strategy.yaml export compatible with edge-finder-candidate/v1

Example prompts

  • “/trade-hypothesis-ideator”

Requirements

  • Python 3

Workflow steps

6 steps, taken from the first numbered list in SKILL.md.

  1. Receive input JSON bundle.
  2. Run pass 1 normalization + evidence extraction.
  3. Generate hypotheses with prompts
  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.

What it can do on your machine

Read from SKILL.md and the folder at commit c8d58f0. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Ships 1 file in scripts/ (Python, from the files we listed), which the agent can run.

    Shell commands in SKILL.md call:

    • python3

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Trade Hypothesis Ideator loads about 693 tokens when it runs, and up to ~964 if it reads all its reference files. Until then it costs about 79 tokens; SKILL.md has 214 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~79
When it runs · the whole SKILL.md, loaded when a task matches
~693
With references · SKILL.md plus every file in references/, read only if the agent opens them
~964

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.

SKILL.md

The full file from tradermonty/claude-trading-skills at commit c8d58f0, republished under its MIT licence (© tradermonty). 214 words, ~693 tokens.

Download SKILL.mdSave it as .claude/skills/trade-hypothesis-ideator/SKILL.md (or your agent's skills folder). This skill also uses 28 other files; get the full folder from GitHub.
name
trade-hypothesis-ideator
description
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.

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):
bash
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):
bash
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-strategies

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

© tradermonty, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 28 other files (scripts, references) in skills/trade-hypothesis-ideator of tradermonty/claude-trading-skills.

  • SKILL.md
  • examples/example_input.json
  • examples/example_output.json
  • examples/sample_input.json
  • prompts/critique_prompt_template.md
  • prompts/developer_prompt_template.md
  • prompts/system_prompt.md
  • references/evidence_quality_guide.md
  • references/hypothesis_types.md
  • requirements.txt
  • schemas/hypothesis_card.schema.json
  • schemas/input_bundle.schema.json
  • schemas/output_bundle.schema.json
  • schemas/raw_hypotheses.schema.json
  • scripts/pipeline/__init__.py
  • … and 14 more

Open the folder on GitHubat commit c8d58f0

Used in 1 other repository

We found 1 copy of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in tradermonty/claude-trading-skills, which our catalogue first saw on October 7, 2026.

Compare with similar skills

Trade Hypothesis Ideator next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Trade Hypothesis Ideator compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Trade Hypothesis Ideator this skilltradermonty/claude-trading-skills3k1 repos~693Automated safety check: PassMIT
Radiology Experiment Designhuang-sir1/radiology-skills1.9k—~3.6kAutomated safety check: PassCustom licence
Data Scientistmagnus919/agent-skills119—~4.1kAutomated safety check: PassMIT
Consistency Checkerfranklee16/academic-research-skills223—~2.6kAutomated safety check: PassNone
Jfm Empirical Designbrycewang-stanford/Awesome-Journal-Skills1.2k—~2.4kAutomated safety check: PassMIT
Scientific Critical Thinkingweapp-tailwindcss/weapp-tailwindcss1.9k22 repos~5.9kAutomated safety check: NotesMIT

Similar skills

  • Radiology Experiment Design

    huang-sir1/radiology-skills

    Design/audit tissue, cell, organoid, animal, perturbation and rescue validation; not physical SOP execution.

    1.9k GitHub stars~3.6k tokensUpdated 20 days ago
    Research & ScienceAuto-check passed
  • Data Scientist

    magnus919/agent-skills

    A skill your agent uses for PhD-level expertise in data science, statistics, and machine learning: rigorous statistical analysis, experimental design, causal inference, advanced modeling, research…

    119 GitHub stars~4.1k tokensUpdated today
    Research & ScienceAuto-check passed
  • Consistency Checker

    franklee16/academic-research-skills

    Systematic pre-submission consistency audit for academic manuscripts in accounting/finance.

    223 GitHub stars~2.6k tokensUpdated 22 days ago
    Research & ScienceAuto-check passed
  • Jfm Empirical Design

    brycewang-stanford/Awesome-Journal-Skills

    A skill your agent uses when the market-data design and microstructure measurement are the bottleneck for a Journal of Financial Markets (JFM) manuscript — TAQ/order-book cleaning, liquidity and…

    1.2k GitHub stars~2.4k tokensUpdated 14 days ago
    Research & ScienceAuto-check passed
  • Scientific Critical Thinking

    weapp-tailwindcss/weapp-tailwindcss

    Evaluate research rigor. An agent skill from weapp-tailwindcss/weapp-tailwindcss.

    1.9k GitHub starsUsed in 22 repos~5.9k tokens
    Research & ScienceAuto-check: notes
  • Benchmark Paper Template

    HKUSTDial/Supervisor-Skills

    Structures benchmark and evaluation papers around five pillars, with a completeness audit, an Introduction logic chain, a section skeleton and a pre-submission checklist.

    8.8k GitHub stars~2.8k tokensUpdated 1 mo ago
    Research & ScienceAuto-check passed

More from tradermonty/claude-trading-skills

All 74 skills in this repo
  • Technical Analyst

    tradermonty/claude-trading-skills

    This skill should be used when analyzing weekly price charts for stocks, stock indices, cryptocurrencies, or forex pairs.

    3k GitHub starsUsed in 4 repos~4.6k tokens
    Auto-check passed
  • Theme Detector

    tradermonty/claude-trading-skills

    Detect and analyze trending market themes across sectors. An agent skill from tradermonty/claude-trading-skills.

    3k GitHub starsUsed in 2 repos~4.9k tokens
    Auto-check passed
  • Trader Memory Core

    tradermonty/claude-trading-skills

    Track investment theses across their lifecycle — from screening idea to closed position with postmortem.

    3k GitHub starsUsed in 2 repos~4.3k tokens
    Auto-check passed
  • Edge Strategy Reviewer

    tradermonty/claude-trading-skills

    Critically review strategy drafts from edge-strategy-designer for edge plausibility, overfitting risk, sample size adequacy, and execution realism.

    3k GitHub starsUsed in 1 repo~988 tokens
    Auto-check passed
  • Sector Analyst

    tradermonty/claude-trading-skills

    This skill should be used when analyzing sector rotation patterns and market cycle positioning.

    3k GitHub starsUsed in 1 repo~2.3k tokens
    Auto-check passed
  • Stanley Druckenmiller Investment

    tradermonty/claude-trading-skills

    Druckenmiller Strategy Synthesizer - Integrates 8 upstream skill outputs (Market Breadth, Uptrend Analysis, Market Top, Macro Regime, FTD Detector, VCP Screener, Theme Detector, CANSLIM Screener)…

    3k GitHub starsUsed in 1 repo~2k tokens
    Auto-check passed

Questions about Trade Hypothesis Ideator

What does Trade Hypothesis Ideator do?

Generate falsifiable trade strategy hypotheses from market data, trade logs, and journal snippets. Trade Hypothesis Ideator is an agent skill from tradermonty/claude-trading-skills. Generate falsifiable trade strategy hypotheses from market data, trade logs, and journal snippets.

When should I use Trade Hypothesis Ideator?

Trade Hypothesis Ideator fits situations like: you have a structured input bundle and want ranked hypothesis cards with experiment designs; optional strategy.yaml export compatible with edge-finder-candidate/v1.

How do I install Trade Hypothesis Ideator in Claude Code?

Run `npx skills add tradermonty/claude-trading-skills --skill trade-hypothesis-ideator -a claude-code`. Or copy the skill folder (skills/trade-hypothesis-ideator in tradermonty/claude-trading-skills) into .claude/skills/trade-hypothesis-ideator in your project. Claude Code loads it when a task matches its description.

How do I install Trade Hypothesis Ideator in Codex?

Run `npx skills add tradermonty/claude-trading-skills --skill trade-hypothesis-ideator -a codex`. Or copy the skill folder (skills/trade-hypothesis-ideator in tradermonty/claude-trading-skills) into .agents/skills/trade-hypothesis-ideator in your project. Codex loads it when a task matches its description.

Can I use Trade Hypothesis Ideator in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add tradermonty/claude-trading-skills --skill trade-hypothesis-ideator -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/trade-hypothesis-ideator, .gemini/skills/trade-hypothesis-ideator, .github/skills/trade-hypothesis-ideator and .opencode/skills/trade-hypothesis-ideator in your project.

What does Trade Hypothesis Ideator need to run?

Going by SKILL.md and its folder, Trade Hypothesis Ideator needs Python for the scripts in its folder and the command-line tools its instructions call (python3). Our summary lists: Python 3.

Does Trade Hypothesis Ideator access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Trade Hypothesis Ideator safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Trade Hypothesis Ideator use?

Trade Hypothesis Ideator is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Trade Hypothesis Ideator use?

About 693 tokens (SKILL.md is roughly 2.8k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 271 tokens, read only when the agent opens those files.

What are the alternatives to Trade Hypothesis Ideator?

Skills that share tags, products or a category with Trade Hypothesis Ideator: Radiology Experiment Design (huang-sir1/radiology-skills, 1.9k stars), Data Scientist (magnus919/agent-skills, 119 stars), Consistency Checker (franklee16/academic-research-skills, 223 stars) and Jfm Empirical Design (brycewang-stanford/Awesome-Journal-Skills, 1.2k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Trade Hypothesis Ideator?

tradermonty (a GitHub user) maintains it in tradermonty/claude-trading-skills, which has 2,982 GitHub stars. The repository holds 74 skills in this directory. The repository was last updated on October 11, 2026.

Source: tradermonty/claude-trading-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.