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as 07-26-2024 4:00pm EST

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Stocks

Consumer Discretionary

Clothing/Shoe/Accessory Stores

Nasdaq

Gap retails apparel, accessories, and personal-care products under the Gap, Old Navy, Banana Republic, and Athleta brands. Old Navy generates more than half of Gap's sales. The firm also operates e-commerce sites, outlet stores, and specialty stores under various Gap names. Gap operates approximately 2,600 stores in North America, Europe, and Asia and franchises about 1,000 more in Asia, Europe, Latin America, and other regions. Gap was founded in 1969 and is based in San Francisco.

More About Our GPS ML Model...

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

To train our stocks GPS 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 GPS 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 GPS 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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