
AI Backtesting Engine
Research and test trading strategies against historical market data before deploying them in live evaluations.
What the feature is for
- testing strategy logic against historical data
- reviewing strategy behavior before deployment
- supporting AI-native trading workflows
Current live workflow
The live app exposes a backtesting workspace built around user-created sessions. Users can currently:- create a new backtesting session
- name the session
- choose a starting balance
- choose a historical date range
- open a session workspace for deeper analysis
Current product state
This feature is part of the platform’s AI-native tooling. Backtesting is already a user-facing surface, even if the full workflow still needs deeper documentation. Detailed strategy inputs, result interpretation, and execution assumptions should be expanded as the live product surface matures.Next steps
- Read the platform overview.
- Explore the AI copilot.

