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as 07-26-2024 4:00pm EST

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Uber Technologies is a technology provider that matches riders with drivers, hungry people with restaurants and food delivery service providers, and shippers with carriers. The firm's on-demand technology platform could eventually be used for additional products and services, such as autonomous vehicles, delivery via drones, and Uber Elevate, which, as the firm refers to it, provides "aerial ride-sharing." Uber Technologies is headquartered in San Francisco and operates in over 63 countries with over 150 million users who order rides or food at least once a month.

More About Our UBER ML Model...

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

To train our stocks UBER 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 UBER 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 UBER 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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