How to Configure ML.NET with NinjaTrader 8

Name: How to Configure ML.NET with NinjaTrader 8
Price: 95.00 USD
Availability: InStock

Predict Market Moves using Machine Learning Algorithms. Learn How to Set Up Server Side Analysis for NinjaTrader 8

195 USD

95 USD

1 hours

6 lectures

#courses

How to Configure ML.NET with NinjaTrader 8

Start Using a Real Singular Spectrum Analysis Model in your Indicator Right Now

What you'll learn

Send data from a NinjaTrader 8 indicator to a server application
Return calculated values from the server to NinjaTrader
Set up ML.NET with a Singular Spectrum Analysis model
Plot the server's results on your NinjaTrader chart
Set up Pusher and initialize it on both sides in code
Plan the code structure of the indicator and the server
Expand the setup with your own ideas

How to Configure ML.NET with NinjaTrader 8 Description

How to Configure ML.NET with NinjaTrader 8 is a NinjaTrader machine learning course: it shows you how to connect a NinjaTrader 8 indicator to ML.NET running in a server application. AI and machine learning are moving fast, and I didn't want us to fall behind. It took me a lot of work to make it all run, so I made this course to save you that setup time. To be clear, it's about the setup: getting data out of NinjaTrader, through the model and back onto your chart. What you build on top of it is up to you. What's inside. Six lectures, about an hour. Code Structure Overview gives you the map first: an indicator in NinjaTrader that sends data to a server application, which calculates the data series and returns it for plotting. Then you set up Pusher, install the packages and initialize Pusher on both sides in code, so NinjaTrader and the server can talk to each other. The next lecture passes data from NinjaTrader to the server application. The last one sets up ML.NET with a real Singular Spectrum Analysis model and plots the values back in NinjaTrader. What you'll be able to do. You'll have NinjaTrader talking to a server and the server talking back. You'll know how to send data from an indicator, set up ML.NET to forecast price with a Singular Spectrum Analysis model, and plot the results on your chart. From there you can expand the idea further, with more data or your own calculations on the server side. Who it's for. Traders and developers who already write NinjaScript and want to bring machine learning into their indicators. You'll work on two sides, a NinjaTrader indicator and a separate server application, so some C# helps. If you've wanted to try ML.NET with NinjaTrader but didn't know where to start, this gets you a working setup. Why it still matters with AI. AI like Claude can write a lot of this code now, but connecting NinjaTrader to an outside application has many moving parts, and when something breaks you need to know where to look. To check, fix and change what AI writes, you need to understand how data leaves NinjaTrader, gets processed on the server and comes back to be plotted. That's what this course walks through. Everything in the course is coded on screen, step by step. My advice is the same as always: type it yourself as you watch rather than copy it, then use AI like Claude to explain, check or extend what you built. That's how it sticks. Enjoy the course!