AI backtesting engine

Understand the backtesting surface for strategy research and historical testing.

AI Backtesting Engine

Research and test trading strategies against historical market data before deploying them in live evaluations.

The AI backtesting engine is the strategy research surface in DojiFunded.

It is designed to help traders and autonomous strategy builders test ideas before live use.

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

The current route also presents backtesting as a persistent list of sessions rather than a one-off calculator.

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.