IN THE FIELD GUIDE
stratcraft
stratcraft.ai
StratCraft is an AI-native quantitative research platform designed for individual researchers to transform market hypotheses into data-driven experiments and reproducible evidence with AI guidance and human control. It integrates capabilities typically distributed among quant researchers, data engineers, ML engineers, and programmers, lowering programming barriers while maintaining statistical standards and accountability.
THE PRODUCT, BEYOND THE PITCH
Editorially reviewed · Sources checked Sep 12, 2026
A good fit for
- Individual quantitative researchers seeking AI-assisted but human-controlled research workflows
- Researchers wanting to lower programming and coordination barriers without sacrificing statistical rigor or accountability
Know the limitations
- Currently in early product development and preparing open-source release; autonomous research and live deployment are future directions, not current features
What you can do
- Quantitative research for individual researchers to develop and validate market strategies
Features
- AI-guided research workflow with human control at every stage
- Form hypotheses into computable, falsifiable questions with explicit constraints and acceptance criteria
- AI-assisted creation and inspection of strategy, factor, and model candidates
- Run data, sweep, evaluation, and C++ backtest operations with inspectable inputs, parameters, artifacts, evidence, and lineage
- Compare models starting with transparent rule-based and linear baselines, advancing only when evidence justifies complexity
Integrations
Not confirmed yet.
Platforms & data export
- Planned open-source release for Windows, macOS, and Linux
THE COST FOR YOUR TEAM
Go beyond the starting price.
Published plan prices for your team size and usage. Results update as you type. Taxes, currency conversion and unlisted add-ons are excluded, and anything the source did not state is called out rather than guessed.
Known monthly subtotal
$0.00/month
1 of 1 tools could not be priced with these inputs, so this is not the full cost.
| Tool / plan | Monthly | Per year | What this assumes |
|---|---|---|---|
| No pricing recorded yet. Check the official site, or ask the owner to add it. | |||
A practical workflow
- AI-guided research loop with human in control, involving hypothesis, candidate generation, data, sweep, evaluation, combination, backtest, saving evidence, explanation, user decision, and next iteration
Based on the sources below. Editorial review does not imply hands-on product testing.
Alternatives to explore
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