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as 05-30-2025 4:00pm EST

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EUDA Health Holdings Ltd is a non-invasive healthcare company across Southeast Asia and China. The Company has two reportable segments: property management services and holistic wellness consumer products and services. Key revenue is generated from property management services that include common area property management services that contain cleaning, landscaping, public facilities maintenance and other traditional services and also include security property management services provided to all tenants and property owners.

More About Our EUDA ML Model...

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

To train our stocks EUDA 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 EUDA 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 EUDA 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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