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as 06-20-2024 4:00pm EST

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Stocks

Technology

Computer Software: Prepackaged Software

Nasdaq

Founded in 2012, Snowflake is a data lake, warehousing, and sharing company that came public in 2020. To date, the company has over 3,000 customers, including nearly 30% of the Fortune 500 as its customers. Snowflake's data lake stores unstructured and semistructured data that can then be used in analytics to create insights stored in its data warehouse. Snowflake's data sharing capability allows enterprises to easily buy and ingest data almost instantaneously compared with a traditionally months-long process. Overall, the company is known for the fact that all of its data solutions that can be hosted on various public clouds.

More About Our SNOW ML Model...

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

To train our stocks SNOW 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 SNOW 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 SNOW 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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