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as 12-20-2024 4:00pm EST

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Stocks

Consumer Discretionary

Auto Manufacturing

Nasdaq

The Shyft Group Inc is engaged in specialty vehicle manufacturing and assembly for commercial vehicles (including last-mile delivery, specialty service, and vocation-specific upfit segments) and recreational vehicle industries. Its products include walk-in vans, truck bodies, cargo vans, and pick-up truck upfits used in e-commerce/parcel delivery, upfit equipment used in the mobile retail and utility trades, as well as luxury Class A diesel motorhome custom chassis and contract manufacturing and assembly services. It also supplies replacement parts and offers repair, maintenance, field service, and refurbishment services for the vehicles that the company manufactures.

More About Our SHYF ML Model...

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

To train our stocks SHYF 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 SHYF 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 SHYF 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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