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as 06-21-2024 4:00pm EST

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Stocks

Energy

Oil & Gas Production

Nasdaq

Shell is an integrated oil and gas company that explores for, produces, and refines oil around the world. In 2023, it produced 1.5 million barrels of liquids and 7.3 billion cubic feet of natural gas per day. At end-2023, reserves stood at 9.6 billion barrels of oil equivalent, 49% of which, consisted of liquids. Its production and reserves are in Europe, Asia, Oceania, Africa, and North and South America. The company operates refineries with capacity of 1.6 mmb/d located in the Americas, Asia, Africa, and Europe and sells about 12 million tons per year of chemicals. Its largest chemical plants, often integrated with its local refineries, are in Central Europe, China, Singapore, and North America.

More About Our SHEL ML Model...

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

To train our stocks SHEL 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 SHEL 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 SHEL 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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