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as 06-13-2024 4:00pm EST

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Stocks

Consumer Discretionary

Auto Parts:O.E.M.

Nasdaq

Apogee Enterprises Inc provider of architectural products and services for enclosing buildings, and high-performance glass and acrylic products used in applications for preservation, protection, and enhanced viewing. Its segments are Architectural Framing Systems; Architectural Glass; Architectural Services and Large-Scale Optical Technologies (LSO). It generates maximum revenue from the Architectural Framing Systems segment. The Architectural Framing Systems segment designs, engineers, fabricates, and finishes the aluminum frames used in customized aluminum and glass windows, curtainwall, storefront, and entrance systems comprising the outside skin and entrances of commercial, institutional, and others. Geographically, it derives a majority of its revenue from the United States.

More About Our APOG ML Model...

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

To train our stocks APOG 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 APOG 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 APOG 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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