as 11-22-2024 4:00pm EST
AppLovin Corp is a mobile app technology company. It focuses on growing the mobile app ecosystem by enabling the success of mobile app developers. The company's software solutions provide tools for mobile app developers to grow their businesses by automating and optimizing the marketing and monetization of their applications.
More About Our APP ML Model...
What kind of parameters do you use to train APP stocks ML model?
To train our stocks APP 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 APP 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 APP 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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Disclaimer
Our APP ML model is developed exclusively for educational purposes. Any information presented on this page regarding the '"APP Forecast & Prediction for November 24, 2024 Applovin Corporation" should not be considered as financial advice or as a recommendation to buy or sell stocks. It is provided strictly for educational purposes. Investing in stocks involves significant risks, and decisions should be made only after careful consideration and consultation with a qualified financial advisor.