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as 03-31-2025 4:00pm EST

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Stocks

Consumer Discretionary

Package Goods/Cosmetics

Nasdaq

Park Ha Biological Technology Co Ltd is engaged in developing its private skincare label, direct skincare products sales and franchise alliances promotions. Its Park Ha brand focuses on providing solutions for problematic skin. The company's Operating Subsidiaries specialize in providing skincare and cosmetic products under its brand name Park Ha in China. Its Operating Subsidiaries develop its proprietary beauty products and offer complimentary after-sales beauty services in its physical stores.

More About Our PHH ML Model...

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

To train our stocks PHH 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 PHH 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 PHH 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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