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as 06-20-2025 4:00pm EST

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Stocks

Consumer Discretionary

RETAIL: Building Materials

Nasdaq

Fastenal began as an industrial retailer, expanding its product portfolio from nuts and bolts to cutting tools, safety equipment, and janitorial supplies. It transitioned into a distributor by building out a dense network of branches close to its business customers. Once a customer becomes large enough, Fastenal installs vending machines and its own personnel on-site. Today, these on-site locations exceed Fastenal's branch count and remain the firm's main focus for expansion. Fastenal acts as a one-stop outsourcing partner for its industrial customers, offering value-added services along with a wide breadth of maintenance, repair, and operations supplies.

More About Our FAST ML Model...

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

To train our stocks FAST 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 FAST 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 FAST 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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