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ADT Inc.

as 06-21-2024 4:00pm EST



Consumer Discretionary

Diversified Commercial Services


ADT Inc is a provider of monitored security, interactive home and business automation, and related monitoring services in the United States and Canada. It offers residential, commercial, and multi-site customers a comprehensive set of burglary, video, access control, fire and smoke alarm, and medical alert solutions. The company segments include Consumer and Small Business (CSB), Commercial, and Solar. It generates maximum revenue from the Commercial segment.

More About Our ADT ML Model...

What kind of parameters do you use to train ADT stocks ML model?

To train our stocks ADT ML model, we use historical data with over 25 parameters, including volume indicators, volatility indicators, momentum indicators, trend indicators, and other metrics.

How often do you update ADT ML model?

We update our ML model either weekly or biweekly, depending on the market capitalization of the stocks, using TensorFlow, typically over the weekend.

Why is the accuracy of your ADT model low?

Unfortunately, our current data provider offers limited historical data, which impacts the accuracy of our ML model. However, as we continue to gather more data over time and add more indicators, we expect the accuracy of our model to improve.

How can I provide and share more data with you to increase your ML model accuracy?

We would greatly appreciate your contribution. Please send an email to [email protected]

Do you offer an ML model for shorter time periods, such as 5 minutes or 15 minutes?

Yes, we offer it for strategy purposes only, with intervals: 1 minute, 2 minutes, 5 minutes, 15 minutes, and 30 minutes etc.

Can I rely on your ML model to make financial decisions regarding buying or selling stocks, or is it only intended for learning purposes?

Our ML model is primarily designed for educational purposes and is not intended to provide financial advice. We strongly recommend consulting with a financial advisor before making any buying or selling decisions.

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