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as 10-06-2025 2:33pm EST

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Stocks

Consumer Discretionary

Industrial Machinery/Components

Nasdaq

Snap-on is a manufacturer of premium tools, equipment, and diagnostics for professional technicians, primarily involved in the repair of passenger cars, but has expanded into other industrial applications. The company's legacy business is selling hand tools through franchisee-operated mobile vans to technicians who purchase the tools at their own expense. The company also operates a commercial and industrial business, focusing on repair facilities that serve other industries. The third segment, repair systems and information, targets auto OEMs and large dealerships more directly, also offering substantial diagnostic solutions to aid in repairs. The company's finance arm provides financing to franchisees to support their operations, as well as underwrites end-customer purchases.

More About Our SNA ML Model...

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

To train our stocks SNA 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 SNA 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 SNA 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 info@finquota.com

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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