AI Strategy Builder is a conversational strategy development system built into NinjaTrader Desktop. You describe a strategy’s entries, exits, and risk rules in plain language, and it generates and compiles NinjaScript for you, then runs a backtest in the same window. You refine it by continuing the conversation.
AI Strategy Builder is being released through a phased beta rollout. Additional functionality and refinements are planned before a broader production release in a future NinjaTrader version. As a beta feature, behavior and outputs may continue to evolve between releases.
The distance between having a trading idea and having something you can actually test has always been the code. You either learned NinjaScript, NinjaTrader’s C#-based language, or you built your logic through an interface. This is a third route, and it changes the shape of the work: you write the idea the way you’d explain it to another trader, and you spend your time on the strategy instead of the syntax.
What is AI Strategy Builder?
AI Strategy Builder sits inside NinjaTrader Desktop and turns a sentence into code that runs. You don't need to know NinjaScript to use it, and the script is still there when you want to look.
AI Strategy Builder sits inside NinjaTrader Desktop and turns a sentence into code that runs.
Where it lives and how to open it
AI Strategy Builder is part of NinjaTrader Desktop. Open the Control Center, then select New > AI Strategy Builder. The window that opens combines two things you’d otherwise use separately: a chat interface where you describe what you want, and the Strategy Analyzer panel where the backtest results land.
What it actually produces
AI Strategy Builder produces working NinjaScript—not pseudocode, not a description of a strategy, but a compiled strategy that runs in the platform. You can open the annotated script and read exactly what it built, which is worth doing either way.
This is a code generator with a conversation on the front of it, and the code is the real output.
How it differs from the point-and-click Strategy Builder
NinjaTrader’s strategy-building tools come in two forms, and they suit different types of traders. The NinjaTrader Strategy Builder is the visual one: you assemble conditions from dropdown menus using the Condition Builder, and it generates NinjaScript behind the scenes. AI Strategy Builder starts from a sentence instead.
| Strategy Builder | AI Strategy Builder | |
|---|---|---|
| How you express the idea | Dropdown menus and the Condition Builder | A plain-language description |
| What happens next | Generates NinjaScript behind the scenes | Generates NinjaScript, compiles it, and backtests it |
| How you change it | Adjust conditions in the interface | Keep talking in the same chat session |
| Suits you if | You like seeing every rule laid out explicitly | You’d rather describe the idea and iterate fast |
Both write NinjaScript, so you can open either tool's output and edit it as code. If you want the visual route, our walkthrough of getting started with the Strategy Builder covers it step by step.
The choice isn’t about whether you can code. It’s about how you’d rather express an idea, and how fast you want to iterate on it.
Describing a strategy the AI can actually build
AI Strategy Builder builds the strategy you describe, not necessarily the one you had in mind. How specific you are—periods, thresholds, tick counts, etc.—sets the quality of what you get back.
Here’s the kind of description that works, taken from NinjaTrader’s own documentation:
“Go long when the 20 EMA crosses above the 50 EMA and RSI is below 30. Exit when RSI crosses above 50 or after 10 bars. Include a 20-tick profit target and 40-tick stop loss, 1 contract at a time.”
An example of phrasing, not a strategy recommendation.
Note what that does: it names the exponential moving average (EMA) periods, it gives the relative strength index (RSI) indicator a threshold, it defines both an exit condition and a time-based exit, and it sets risk and size. Nothing is left for the AI to infer.
Five things to be explicit about
- Entry and exit conditions: Say what triggers each one, not just what you’re looking for.
- Order quantity: State the default size you want to trade.
- Indicators and parameters: Name the indicator and its settings rather than describing the effect you want.
- Risk management: Include your stop loss and profit target in the description.
- Nothing vague: Terms like “strong trend” have no definition the system can act on. Replace them with a condition.
If you’re not sure what your rules actually are yet, that’s a different problem, and our guide to building a trading strategy is the better starting point.
From description to backtest in one window
AI Strategy Builder runs the whole cycle in one window: description in, NinjaScript out, backtest results underneath. The only thing it asks of you first is a clean compile environment.
A compile check first
When you open AI Strategy Builder, NinjaTrader runs a compile check on your NinjaScript environment. If there are existing compile errors, you’ll need to clear them before generating anything. It’s a prerequisite rather than a step, and it exists so that what gets generated can actually run.
Generate, compile, backtest
Submit your description and the system interprets the logic, generates the NinjaScript, and compiles it. If compilation succeeds, a backtest runs automatically and the results appear in the Strategy Analyzer panel without you moving to another window. From there, you can modify strategy parameters, adjust the backtest settings, and run it again.
Read what it wrote
Select the ellipsis to review the annotated script. This is the step most worth not skipping: it’s how you find out whether the AI understood “exit after 10 bars” the way you meant it. Also, if you ever plan to write NinjaScript yourself, this is the clearest look at how it's built.
The platform closes the loop from sentence to backtest results on its own. Reading the script is still the only way to know it built what you described.
Simulated trading does not represent actual trading and is based on hypothetical conditions. Actual trading results may differ significantly due to factors such as market conditions, liquidity, execution, and the emotional and psychological impact of risking real money. Simulated trading is provided for educational and platform-familiarization purposes only and should not be relied upon as an indication or expectation of results in a live trading environment.
Refining by conversation instead of starting over
Revision in AI Strategy Builder means redescribing the strategy, not rebuilding it. A first version is rarely the one you want, and in the ordinary workflow, every change means going back into the logic and rebuilding it. Here, you stay in the same chat session and say what’s different: tighten the stop, add a session filter, change the exit condition, try it with a different moving average period. The system regenerates the strategy and retests it.
Revision in AI Strategy Builder means redescribing the strategy, not rebuilding it.
The loop from “what if” to “here’s what that would have done” collapses to a sentence, which makes it practical to test variations you’d otherwise never bother building.
What it won’t do for you
NinjaTrader is direct about AI Strategy Builder’s limits in its own documentation:
- Generated strategies are a starting point, not final systems. Treat the output as a first draft of an idea, not a finished product.
- Review the code and validate results before trading live. The annotated script is there for exactly this.
- Complex strategies may take several iterations. The more moving parts your logic has, the more back-and-forth it can take to get right.
- Indicator support varies. If your strategy references an indicator, library, or external data source that isn’t available in NinjaTrader, the system inserts a placeholder in the generated code where that reference belongs, and you fill it in yourself later.
- There are usage limits. Hourly and daily token limits apply. If you hit one, requests pause until the limit resets.
- It works in English only. Descriptions in other languages aren’t currently supported.
AI Strategy Builder shortens the distance between an idea and a testable strategy. It doesn’t tell you whether the idea is any good, and a backtest that looks strong isn’t a prediction of anything. That judgment is still yours.
AI Strategy Builder is one of three ways futures traders can use AI on NinjaTrader; the overview is in our guide to AI trading tools. You can also connect an AI assistant to your account to work from your live positions and orders. Full setup details are in our AI Strategy Builder Beta help guide.
Ready to give it a try? Describe your first strategy and backtest it in our sim environment before you risk any capital.
FAQs on building trading strategies with AI
Can AI write a trading strategy for me?
AI Strategy Builder generates and compiles NinjaScript from a plain-language description of your entries, exits, and risk rules. It writes the code for the strategy you describe. It doesn’t decide what the strategy should be, and it doesn’t tell you whether the idea is any good. That judgment is still yours.
Can I use AI Strategy Builder if I’ve never written NinjaScript?
Yes. No coding experience is needed. You describe the strategy in plain language. Reading the generated script is worthwhile so you can confirm it matches your intent, but you don’t need to write it.
Can I backtest a strategy the AI built?
Yes. When a generated strategy compiles successfully, a backtest runs automatically in the same window and results appear in the Strategy Analyzer panel. You can adjust the parameters and backtest settings and run it again.
How is AI Strategy Builder different from the Strategy Builder?
The Strategy Builder uses point-and-click condition logic through dropdown menus. AI Strategy Builder works from a plain-language description and compiles and backtests automatically. Both produce NinjaScript.
Is an AI-generated strategy safe to trade live?
Review the generated code and validate the results before trading any generated strategy live. Backtested results are hypothetical and don’t indicate future performance, and complex strategies may need several iterations before they do what you intended.
