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as 06-18-2024 9:30am EST

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Formerly the captive financial arm of General Motors, Ally Financial became an independent publicly traded firm in 2014 and is one of the largest consumer auto lenders in the country. While the firm has expanded its product offerings over time, it remains primarily focused on auto lending with more than 70% of its loan book in consumer auto loans and dealer financing. Ally also offers auto insurance, commercial loans, credit cards, and holds a portfolio of mortgage debt, giving the bank a diversified business model, which includes brokerage services.

More About Our ALLY ML Model...

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

To train our stocks ALLY 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 ALLY 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 ALLY 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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