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as 06-05-2025 4:00pm EST

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Stocks

Industrials

Office Equipment/Supplies/Services

Nasdaq

Founded in 1927, W.W. Grainger originally distributed various motors via a mail-order catalogue. Over the course of the 20th century, the firm expanded into new industrial product categories and launched its first digital catalogue in 1995. Today, the company organizes itself into two segments focused on different customer bases. Its larger segment, high-touch solutions, offers a vast array of maintenance, repair, and operations, or MRO, supplies and bespoke inventory management services to larger businesses. Its smaller segment, endless assortment, operates two online platforms, Zoro and MonotaRO, that offer comprehensive catalogues of MRO supplies to smaller businesses. Grainger has operations throughout the world but primarily generates sales within the US.

More About Our GWW ML Model...

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

To train our stocks GWW 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 GWW 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 GWW 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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