You will get ML.NET Machine Learning Integration
Top Rated

Project details
Want to go beyond technical indicators? I’ll help you embed machine learning models (ML.NET) inside NinjaTrader 8 strategies.
What’s included:
Train on historical data
Predict signals or market states
Full C# integration, no external server needed
Custom model architecture (regression, classification)
Welcome to algo trading 2.0 — built directly into NT8.
What’s included:
Train on historical data
Predict signals or market states
Full C# integration, no external server needed
Custom model architecture (regression, classification)
Welcome to algo trading 2.0 — built directly into NT8.
Machine Learning Tools
Accord.NET Framework, Azure Machine Learning, ChatGPT, fastText, GPT-3, MLflow, NLTK, NumPy, Open Neural Network Exchange, OpenCV, SQL, TensorFlowWhat's included
| Service Tiers |
Starter
$600
|
Standard
$800
|
Advanced
$2,000
|
|---|---|---|---|
| Delivery Time | 3 days | 7 days | 14 days |
Number of Revisions | 2 | 3 | Unlimited |
Number of Model Variations | 1 | 2 | 3 |
Number of Scenarios | 1 | 2 | 3 |
Number of Graphs/Charts | 1 | 2 | 3 |
Model Validation/Testing | - | - | - |
Model Documentation | - | - | - |
Data Source Connectivity | - | - | - |
Source Code | - | - | - |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$1,000 - $4,000
Additional Revision
+$80Frequently asked questions
28 reviews
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RG
Rafael G.
Sep 30, 2025
You will get access to one of the subscription plans
RG
Rafael G.
Aug 31, 2025
You will get access to one of the subscription plans
CP
Carlos P.
Aug 4, 2025
You will get access to one of the subscription plans
JA
JP A.
Apr 6, 2025
NinjaTrader 8 Strategy Backtesting Tool Development
JN
Jake N.
Mar 13, 2025
Ninjatrader Automated Strategy Developer
He is the real deal! Excellent coder and works hard to bring ideas to life.
About Andrii
C# Developer,JavaScript Developer,Tech Lead,Vendor NinjaTrader
100%
Job Success
Odessa, Ukraine - 5:21 pm local time
Risk disclosure:
Futures and forex trading contains substantial risk and is not for every investor. An investor could potentially lose all or more than the initial investment. Risk capital is money that can be lost without jeopardizing ones’ financial security or life style. Only risk capital should be used for trading and only those with sufficient risk capital should consider trading. Past performance is not necessarily indicative of future results.
Hypothetical performance disclosure:
Hypothetical performance results have many inherent limitations, some of which are described below. no representation is being made that any account will or is likely to achieve profits or losses similar to those shown; in fact, there are frequently sharp differences between hypothetical performance results and the actual results subsequently achieved by any particular trading program. One of the limitations of hypothetical performance results is that they are generally prepared with the benefit of hindsight. In addition, hypothetical trading does not involve financial risk, and no hypothetical trading record can completely account for the impact of financial risk of actual trading. for example, the ability to withstand losses or to adhere to a particular trading program in spite of trading losses are material points which can also adversely affect actual trading results. There are numerous other factors related to the markets in general or to the implementation of any specific trading program which cannot be fully accounted for in the preparation of hypothetical performance results and all which can adversely affect trading results.
Testimonials: Testimonials appearing on this website may not be representative of other clients or customers and is not a guarantee of future performance or success.
Steps for completing your project
After purchasing the project, send requirements so Andrii can start the project.
Delivery time starts when Andrii receives requirements from you.
Andrii works on your project following the steps below.
Revisions may occur after the delivery date.
Requirements Gathering
Collect details about your trading goals, data, and desired ML functionality. Clarify any questions.
Data Preparation & Analysis
Review and preprocess your data to ensure it’s suitable for machine learning.