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as 06-14-2024 4:00pm EST

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Stocks

Consumer Discretionary

Industrial Machinery/Components

Nasdaq

Snap-on manufactures premium tools and software for repair professionals. Hand tools are sold through a franchisee-operated mobile van network that serve auto technicians who purchase tools at their own expense. A unique element of its business model is that franchisees bear significant risk, as they must invest in the mobile van, inventory, and software. At the same time, franchisees extend personal credit directly to technicians on an individual tool basis. Snap-on currently operates three segments: repair systems and information, commercial and industrial, and tools. Its finance arm provides financing to franchisees to run their operations, which includes offering loans and leases for mobile vans.

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 [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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