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as 01-21-2025 4:00pm EST

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Stocks

Technology

Computer Software: Programming Data Processing

Nasdaq

Dada Nexus provides on-demand retail platform services and fulfillment services to retailers to sell their products, and online advertising and marketing services to its customers such as brand owners or their agents. It also provides last-mile, intracity and intercity delivery services to logistics companies, merchants and individuals on the Dada Now platform. The group fulfills the delivery needs of retailers on JD Now and customers on Dada Now mostly by utilizing registered riders on Dada Now. Dada's average delivery time for on-demand intracity delivery orders was within 30 minutes in 2023, faster than traditional e-commerce where delivery can take days. As of Sept. 16, 2024, JD.com owned 63.2% of Dada Nexus. Dada Nexus competes with Meituan, Ele.me, Douyin, and SF Intra-city.

More About Our DADA ML Model...

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

To train our stocks DADA 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 DADA 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 DADA 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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