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as 11-15-2024 4:00pm EST

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Stocks

Consumer Discretionary

Paints/Coatings

Nasdaq

PPG is a global producer of coatings. The company is the world's largest producer of coatings after the purchase of selected Akzo Nobel assets. PPG's products are sold to a wide variety of end users, including the automotive, aerospace, construction, and industrial markets. The company has a footprint in many regions around the globe, with less than half of sales coming from North America in recent years. PPG is focused on its coatings and specialty products and expansion into emerging regions, as exemplified by the Comex acquisition.

More About Our PPG ML Model...

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

To train our stocks PPG 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 PPG 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 PPG 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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