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as 07-05-2024 12:34pm EST

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Stocks

Consumer Discretionary

Apparel

Nasdaq

Jerash Holdings (US) Inc along with its subsidiaries is a manufacturer and exporter of customized, ready-made sport and outerwear from knitted fabric from its production facilities in Jordan. The company manufactures for retailers namely Walmart, Costco, Sears, Hanes, Columbia, Land's End, VF Corporation, and Philip-Van Heusen which owns brands such as The North Face, Nautica, Timberland, Wrangler, Lee, Jansport, Calvin Klein, Tommy Hilfiger, IZOD, Speedo etc. It derives its revenue from the manufacturing and sales of outerwear in the United States. The company's product offering consists of jackets, polo shirts, crew neck shirts, pants and shorts made from knitted fabric.

More About Our JRSH ML Model...

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

To train our stocks JRSH 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 JRSH 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 JRSH 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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