Resources
Learn how OpenQuant approaches AI-assisted strategy development, how the workflow fits together, and why specifications and evidence stay at the center.
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A visual walkthrough of creating a strategy, discussing the specification, generating and building code, running analysis, reviewing diffs, creating versions, comparing results, and annotating research history.
OpenQuant.pdfProduct introduction and workflow guide · PDFA strategy is not a code snippet. It is a set of decisions about data, behavior, risk, execution, and evaluation. OpenQuant uses AI to make those decisions explicit before implementation.
Why this is differentBacktest statistics alone rarely explain whether a strategy behaved as intended. OpenQuant relates the report to the specification and can add bounded, targeted diagnostics when evidence is missing.
Explore AnalyzeTell us what you build, which markets you work with, and how your current research process is structured. We’ll focus the conversation on the workflow that matters to you.
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