> ## Documentation Index
> Fetch the complete documentation index at: https://docs.dojifunded.com/llms.txt
> Use this file to discover all available pages before exploring further.

# AI backtesting engine

> Understand the backtesting surface for strategy research and historical testing.

<div className="product-card">
  <img src="https://mintcdn.com/dojifunded-073f79a4/ZnXq9j4zRG_ReNaB/images/AIBacktest.png?fit=max&auto=format&n=ZnXq9j4zRG_ReNaB&q=85&s=147ecdc982e702b3ada4e092dc8179bd" alt="DojiFunded AI backtesting engine showing backtest sessions and strategy research workspace" width="1981" height="1090" data-path="images/AIBacktest.png" />

  <div className="product-card-caption">
    <span className="product-card-label">AI Backtesting Engine</span>
    <p className="product-card-desc">Research and test trading strategies against historical market data before deploying them in live evaluations.</p>
  </div>
</div>

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](/platform/overview).
* Explore the [AI copilot](/platform/ai-copilot).