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as of 05-18-2026 3:40pm EST

$59.47
+$1.54
+2.66%
Stocks Consumer Discretionary Business Services Nasdaq

Founded in 2005, Etsy operates a leading global marketplace, connecting roughly 87 million active buyers and 6 million sellers of unique, handmade, and vintage goods. In fiscal 2025, the firm generated $2.9 billion in revenue and almost $12 billion in gross merchandise sales. The firm monetizes its marketplace primarily through transaction fees and advertising, with core categories spanning homeware, jewelry, apparel, and craft supplies. The US drives 74% of sales, though its core geographic reach extends to the UK, Germany, Canada, and Australia.

Frequently Asked Questions

Learn more about our ETSY ML prediction model

What parameters are used to train the ETSY ML model?

Our stocks ETSY 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 ETSY 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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