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as 06-14-2024 4:00pm EST

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Trucking Freight/Courier Services

Nasdaq

Knight-Swift is the largest truckload, or TL, carrier in the us, with a diversified transportation offering. Pro forma for the us Xpress deal, about 82% of revenue derives from Knight's asset-based trucking business, with full-truckload (for-hire dry van, refrigerated, and dedicated contract) making up 69% and LTL at 13%. Truck brokerage and other asset-light logistics services make up 9% of revenue, with intermodal near 6%. Knight's intermodal operations use the Class-I railroads for the underlying movement of its shipping containers and also include drayage (regional trucking services to and from inland intermodal ramps/terminals). The remainder of revenue reflects services offered to shippers and third-party truckers including equipment maintenance and leasing.

More About Our KNX ML Model...

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

To train our stocks KNX 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 KNX 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 KNX 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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