The core workflow
Specification first. Code second. Evidence always.
OpenQuant separates strategy work into explicit Spec, Code, and Analyze phases. AI first helps make data, signals, entries, exits, risk, execution assumptions, parameters, and acceptance criteria explicit. Only then is the reviewed specification converted to a SmartQuant C# project and tested.
See all three phasesDesktop research workspace
Work with projects, versions, instruments, market data, source, configuration, build output, strategy logs, structured reports, and AI discussion without leaving the application.
Controlled local automation
Repository-owned build and backtest tools keep execution deterministic. Bounded AI loops can repair compile errors or add targeted diagnostics without silently changing the strategy.
SmartQuant C# underneath
The generated output is not locked inside a proprietary prompt format. It is an inspectable SmartQuant C# strategy project with visible configuration that developers can edit and run directly.
Versioned evidence
Every version ties together the current specification, discussion, code, diffs, config, logs, backtest report, analysis, and next-version feedback.
AI remains accountable to visible artifacts
OpenQuant’s AI workflow reads explicit local files and writes explicit results. The strategy specification is the implementation contract; the structured run report is the canonical evidence; and recommendations become reviewable feedback for a new version. You can inspect, challenge, or replace every AI-produced artifact.