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as 06-18-2024 9:30am EST

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Stocks

Nasdaq

Vestis Corp is a provider of uniform rentals and workplace supplies across the United States and Canada. It provides uniforms, mats, towels, linens, restroom supplies, first-aid supplies, safety products, and other workplace supplies. The Company serves customers ranging from small, family-owned operations with a single location to large corporations and national franchises with multiple locations. The company operates in the United States and Canada as reportable segments. The company earns the majority of its revenue from the United States.

More About Our VSTS ML Model...

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

To train our stocks VSTS 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 VSTS 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 VSTS 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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