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as of 11-28-2025 12:36pm EST

$912.16
+$3.24
+0.36%
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 its frugal cost structure, the firm is able to price its merchandise below that of competing retailers, driving high sales volume per warehouse and generating strong profits on thin margins. Costco operates over 600 warehouses in the United States and has over 60% share in the domestic warehouse club industry. Internationally, Costco operates about 280 warehouses, primarily in Canada, Mexico, Japan, and the UK.

Frequently Asked Questions

Learn more about our COST ML prediction model

What parameters are used to train the COST ML model?

Our stocks COST ML model is trained using historical data with over 25 parameters, including volume indicators, volatility indicators, momentum indicators, trend indicators, and other technical metrics.

How often is the COST ML model updated?

We update our ML model weekly or biweekly (depending on market capitalization) using TensorFlow, typically over the weekend to ensure the most current predictions.

Why might the model accuracy vary?

Our current data provider offers limited historical data, which can impact accuracy. As we continue to gather more data and add additional indicators, we expect the model's accuracy to improve over time.

How can I contribute data to improve accuracy?

We greatly appreciate contributions! Please contact us at info@finquota.com to discuss how you can help improve our models.

Are shorter timeframe predictions available?

Yes, we offer predictions for strategy purposes with shorter intervals including 1 minute, 2 minutes, 5 minutes, 15 minutes, and 30 minutes timeframes.

Should I use this for financial decisions?

Our ML model is designed for educational purposes only and should not be used as the sole basis for financial decisions. Always consult with a qualified financial advisor before making any investment decisions.

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