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How to Automate Trade Signal Generation Using the Deep Signal Library and Machine Learning -Thursday, May 15, 2025
How to Automate Trade Signal Generation in NinjaTrader Using the Deep Signal Library and Machine Learning
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Using Multiple Machine Learning Models in a Single NinjaTrader Strategy -Wednesday, March 5, 2025
One of the most powerful features of the Deep Signal™ Library is the ability to use multiple machine learning models within a single NinjaTrader strategy. This opens up a range of possibilities—like blending momentum signals with confirmation indicators, or stacking long-term and short-term models for more dynamic decision-making.
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Using Permutation Feature Importance to Improve Your Trading Models -Sunday, November 3, 2024
When you're building a machine learning model to power your NinjaTrader strategy, it’s easy to assume that more indicators equal better predictions. But what if some of your indicators are just adding noise? That’s where Permutation Feature Importance (PFI) comes in. This tool, built into the Deep Signal Library, helps you discover which indicators (or features) actually contribute to your model’s performance—and which ones are holding it back.
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Auto Login for NinjaTrader -Thursday, August 3, 2023

Anyone else tired of having to type your password into NinjaTrader 8.1 every time we start up NinjaTrader? We created a github repo that has source code for automatically logging in.

Please see the following link:

https://github.com/DeepSignalTech/NinjaTraderAutoLogin

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BloombergGPT -Sunday, April 2, 2023

Bloomberg has released it's own GPT version with a 50 billion parameter large language model specifically for finance.

"This model will assist Bloomberg in improving existing financial NLP tasks, such as sentiment analysis, named entity recognition, news classification, and question answering, among others."

This will be interesting to see where large language models evolve in finance and if they are suited for trading.

 

Here is the link to their story: https://www.bloomberg.com/company/press/bloomberggpt-50-billion-parameter-llm-tuned-finance/

For more details about the development of BloombergGPT, read the paper on arXiv: https://arxiv.org/abs/2303.17564

 

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Machine Learning In Trading -Friday, February 10, 2023
Machine learning has already made significant advancements in the field of stock trading and will likely continue to shape the future of this industry in various ways. Here are some potential applications and benefits.
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Data for Financial Machine Learning -Wednesday, February 8, 2023
Financial data is a critical component in the creation of machine learning models for trading. These models rely on historical data to make predictions about future market trends, so the quality and quantity of the data is essential for their accuracy.
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