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as 02-21-2025 4:00pm EST

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Nasdaq

Founded in 2013 and headquartered in San Francisco, DoorDash is an online delivery demand aggregator. Consumers can use its app to order food items on-demand for delivery or in-store from merchants. Through the acquisition of Wolt in 2022, the firm also provides this service in Europe and Asia. DoorDash creates a marketplace for merchants to establish a presence online, market their offerings, and meet demand through delivery. The firm provides similar service to nonrestaurant businesses, such as grocery, retail, and pet supplies. Dash is also rolling out nascent technology like drone delivery in an effort to continually innovate and provide the best possible service to supply-side and demand-side contingents of its marketplace.

More About Our DASH ML Model...

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

To train our stocks DASH 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 DASH 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 DASH 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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