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as 12-18-2024 1:35pm EST

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Stocks

Consumer Discretionary

Food Distributors

Nasdaq

Amcon Distributing Co is engaged in the wholesale and retail distribution of consumer products such as cigarettes, tobacco, confectionery, health food, and others. It operates in two segments: Wholesale distribution segment distributing consumer products to the retail outlets including convenience stores, grocery stores, liquor stores, drug stores, and tobacco shops in the Central, Rocky Mountain, and Southern regions of the United States; and the Retail health food segment is a specialty retailer of natural/organic groceries and dietary supplements throughout the Midwest and Florida. The company earns a majority of the revenue from the Wholesale distribution segment.

More About Our DIT ML Model...

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

To train our stocks DIT 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 DIT 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 DIT 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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