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as 06-21-2024 4:00pm EST

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Stocks

Technology

Computer Software: Prepackaged Software

Nasdaq

Appian is a low-code enterprise platform-as-a-service company focusing on business process management. The Appian platform is an integrated automation platform providing tools for organizations to design, automate, and optimize end-to-end processes and complex business operations. Capabilities include case management, robotic process automation, artificial intelligence, data fabric, and process mining. Most of Appian's revenue is subscription based with the remainder from services, with much of its subscription revenue being derived from its cloud-based platform, Appian Cloud.

More About Our APPN ML Model...

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

To train our stocks APPN 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 APPN 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 APPN 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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