NinjaTrader backtesting

How it runs

NinjaTrader’s backtesting lives in the Strategy Analyzer. You open it from the New menu in the Control Center. It runs historical analysis on automated strategies written in NinjaScript.

You pick a strategy, choose a backtest type, and run it over historical data. For a walk-forward run, “Walk Forward Optimization” is one of the backtest types. Facts here were read from NinjaTrader’s help guide in October 2026, so check the vendor for anything current.

Strategy Analyzer

The NinjaTrader tool that backtests and optimizes strategies.

NinjaScript

The code language NinjaTrader strategies are written in.

Walk forward optimization

Tuning settings on one window of history and testing them on the window after it, then sliding forward.

Basket testing

Testing a strategy on several instruments in one run.

What it can do

The help guide lists these functions under the Strategy Analyzer:

• Backtest a strategy.
• Optimize a strategy.
• Walk forward optimize a strategy.
• Multi-objective optimization.
• Basket testing of multiple instruments.
• Monte Carlo simulation.
• Reviewing performance results and understanding backtest logs.

What it needs

The walk-forward guide lists what a user needs: access to historical data, a custom NinjaScript strategy, and a good understanding of the Strategy Analyzer. Sample strategies come installed with NinjaTrader.

So there are three jobs before the first run. Write the rules as code. Load data that covers the markets and years you want. Decide the costs and check how the tool applies them.

NinjaTrader’s pricing page says strategy backtesting is free to use, with no time limit and no funding required.

Limits to know about

The tool tests coded strategies, so ambiguity in your rules turns into a coding decision. If a rule can be read two ways, the code picks one without telling you.

NinjaTrader’s help guide has pages on how historical fills are processed and on differences between real-time and backtest results. Read both. Every backtest tool has fill rules, and a number means little until you know them.

Optimization also deserves care. Running many settings and keeping whichever one looks most favourable fits the settings to the history. Walk-forward testing and held-back data exist to check for that.

Every backtest tool has fill rules. Read how yours handles historical fills before you trust a number.

Questions to ask of any tool

Which bar size does it test on? What happens when a stop and a target sit inside the same bar? How does it handle a contract roll? Does it include commission and slippage? Can you see every trade?

Our explainers on same-bar fills, data and costs go through why each matters.

Where a done-for-you service fits

We are the alternative to writing the code. You describe the rules in plain language, and we run them on CME futures data and return every trade with the assumptions used. A version is $19.