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as 06-14-2024 4:00pm EST

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Stocks

Consumer Discretionary

Department/Specialty Retail Stores

Nasdaq

Costco operates a membership-based, no-frills retail model, predicated on offering a select product assortment in bulk quantities at bargain prices. The firm avoids maintaining costly product displays by keeping inventory on pallets and limits distribution expenses by storing its inventory at point of sale in the warehouse. Given Costco's frugal cost structure, the firm is able to price its merchandise below competing retailers, driving high sales volume per warehouse and allowing the retailer to generate strong profits on thin margins. Costco operates over 600 warehouses in the United States and enjoys over 60% market share in the domestic warehouse club industry. Internationally, Costco operates another 270 warehouses, primarily in markets such as Canada, Mexico, Japan, and the UK.

More About Our COST ML Model...

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

To train our stocks COST 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 COST 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 COST 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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