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as 12-18-2024 2:34pm EST

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Stocks

Technology

Computer Software: Prepackaged Software

Nasdaq

CyberArk is a cybersecurity vendor focused on the identity market. The company's core privileged access management offering is a market leader within that subsegment, with more than half of the Fortune 500 CyberArk customers. The identity security vendor was founded in 1999 and has around 9,000 customers across various industries. While historically, CyberArk has sold its security solutions primarily via on-premises licenses, over the past few years, it has transitioned to a subscription, recurring revenue model.

More About Our CYBR ML Model...

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

To train our stocks CYBR 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 CYBR 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 CYBR 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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