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as 06-21-2024 10:32am EST

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Stocks

Industrials

Trucking Freight/Courier Services

Nasdaq

Landstar System is an agent based asset-light third-party logistics provider focused on domestic truck brokerage (90% of revenue). Historically, around half of its truck transportation freight is hauled by leased owner-operators with the remainder hauled by third-party broker-carriers. To a smaller degree, it offers intermodal, global air and ocean forwarding, and warehousing services. Landstar also runs a small business that offers insurance programs to captive owner-operators. It has a long history of industry-leading execution and operating profitability.

More About Our LSTR ML Model...

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

To train our stocks LSTR 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 LSTR 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 LSTR 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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