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SNDL

SNDL Inc.

as 06-18-2024 9:30am EST

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SNDL Inc is a private-sector liquor and cannabis retailer in Canada with retail banners that include Ace Liquor, Wine and Beyond, Liquor Depot, Value Buds, and Spiritleaf. The principal activities of the company are the retailing of wines, beers, and spirits. It comprised four reportable segments: liquor retail, cannabis retail, cannabis operations, and investments. Liquor retail includes the sale of wines, beers, and spirits through owned liquor stores. The company generates maximum revenue from liquor retail.

More About Our SNDL ML Model...

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

To train our stocks SNDL 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 SNDL 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 SNDL 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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