8 datasets found
  1. Etsy: sellers with highest sales volume worldwide 2024

    • statista.com
    Updated Jun 23, 2025
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    Statista (2025). Etsy: sellers with highest sales volume worldwide 2024 [Dataset]. https://www.statista.com/statistics/1306498/top-etsy-sellers-sales-volume/
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    Dataset updated
    Jun 23, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Oct 16, 2024
    Area covered
    Worldwide
    Description

    As of October 16, 2024, CaitlynMinimalist was the Etsy seller with the most sales on the platform in the previous year. The store, which sells jewelry, recorded over 680,000 purchases by Etsy buyers in 12 months. Esty’s Overview Etsy, an online marketplace, generates revenue from three primary segments: marketplace revenues, this includes fees for sales transactions and listings of products; seller service revenues; and other revenues which includes third-party payment processor fees. The annual revenue of Etsy has steadily increased over the past years, reaching over *** billion U.S. dollars, which in part is due to a steady increase of investment into their advertising. Usage of Etsy When ranking the leading websites by share of visits in the United States, esty.com was fourth, outranked by amazon.com, ebay.com, and walmart.com. Still, over the past years, the number of active Etsy sellers has increased, reaching over * million in 2023. That year, Etsy's active buyers also grew, reaching over ** million, a new high for the company.

  2. Etsy Shops Dataset

    • kaggle.com
    Updated Dec 15, 2019
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    Sepideh Doost (2019). Etsy Shops Dataset [Dataset]. https://www.kaggle.com/sepidafs/etsy-shops/tasks
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Dec 15, 2019
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Sepideh Doost
    Description

    Context

    As an Etsy shop owner myself, I was interested to see how other Etsy shops are doing and if there are particular attributes of their shops (e.g. location, number of reviews and followers) that may impact their success.

    Content

    The dataset represents a few chosen attributes of 20k newly created Etsy shops in Nov and Dec 2019. You can find the script used in my GitHub repo here: https://github.com/Sepiafs/etsy_data_collection.

    Acknowledgements

    The data has been extracted using web scraping techniques and Etsy web API.

    Inspiration

    What attributes of newly created Etsy shops have positive impact on their success?

  3. k

    ETSY Emerging E-Commerce Leader? (Forecast)

    • kappasignal.com
    Updated Apr 20, 2024
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    KappaSignal (2024). ETSY Emerging E-Commerce Leader? (Forecast) [Dataset]. https://www.kappasignal.com/2024/04/etsy-emerging-e-commerce-leader.html
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    Dataset updated
    Apr 20, 2024
    Dataset authored and provided by
    KappaSignal
    License

    https://www.kappasignal.com/p/legal-disclaimer.htmlhttps://www.kappasignal.com/p/legal-disclaimer.html

    Description

    This analysis presents a rigorous exploration of financial data, incorporating a diverse range of statistical features. By providing a robust foundation, it facilitates advanced research and innovative modeling techniques within the field of finance.

    ETSY Emerging E-Commerce Leader?

    Financial data:

    • Historical daily stock prices (open, high, low, close, volume)

    • Fundamental data (e.g., market capitalization, price to earnings P/E ratio, dividend yield, earnings per share EPS, price to earnings growth, debt-to-equity ratio, price-to-book ratio, current ratio, free cash flow, projected earnings growth, return on equity, dividend payout ratio, price to sales ratio, credit rating)

    • Technical indicators (e.g., moving averages, RSI, MACD, average directional index, aroon oscillator, stochastic oscillator, on-balance volume, accumulation/distribution A/D line, parabolic SAR indicator, bollinger bands indicators, fibonacci, williams percent range, commodity channel index)

    Machine learning features:

    • Feature engineering based on financial data and technical indicators

    • Sentiment analysis data from social media and news articles

    • Macroeconomic data (e.g., GDP, unemployment rate, interest rates, consumer spending, building permits, consumer confidence, inflation, producer price index, money supply, home sales, retail sales, bond yields)

    Potential Applications:

    • Stock price prediction

    • Portfolio optimization

    • Algorithmic trading

    • Market sentiment analysis

    • Risk management

    Use Cases:

    • Researchers investigating the effectiveness of machine learning in stock market prediction

    • Analysts developing quantitative trading Buy/Sell strategies

    • Individuals interested in building their own stock market prediction models

    • Students learning about machine learning and financial applications

    Additional Notes:

    • The dataset may include different levels of granularity (e.g., daily, hourly)

    • Data cleaning and preprocessing are essential before model training

    • Regular updates are recommended to maintain the accuracy and relevance of the data

  4. k

    Etsy Eyes Growth Opportunities? (ETSY) (Forecast)

    • kappasignal.com
    Updated Apr 2, 2024
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    KappaSignal (2024). Etsy Eyes Growth Opportunities? (ETSY) (Forecast) [Dataset]. https://www.kappasignal.com/2024/04/etsy-eyes-growth-opportunities-etsy.html
    Explore at:
    Dataset updated
    Apr 2, 2024
    Dataset authored and provided by
    KappaSignal
    License

    https://www.kappasignal.com/p/legal-disclaimer.htmlhttps://www.kappasignal.com/p/legal-disclaimer.html

    Description

    This analysis presents a rigorous exploration of financial data, incorporating a diverse range of statistical features. By providing a robust foundation, it facilitates advanced research and innovative modeling techniques within the field of finance.

    Etsy Eyes Growth Opportunities? (ETSY)

    Financial data:

    • Historical daily stock prices (open, high, low, close, volume)

    • Fundamental data (e.g., market capitalization, price to earnings P/E ratio, dividend yield, earnings per share EPS, price to earnings growth, debt-to-equity ratio, price-to-book ratio, current ratio, free cash flow, projected earnings growth, return on equity, dividend payout ratio, price to sales ratio, credit rating)

    • Technical indicators (e.g., moving averages, RSI, MACD, average directional index, aroon oscillator, stochastic oscillator, on-balance volume, accumulation/distribution A/D line, parabolic SAR indicator, bollinger bands indicators, fibonacci, williams percent range, commodity channel index)

    Machine learning features:

    • Feature engineering based on financial data and technical indicators

    • Sentiment analysis data from social media and news articles

    • Macroeconomic data (e.g., GDP, unemployment rate, interest rates, consumer spending, building permits, consumer confidence, inflation, producer price index, money supply, home sales, retail sales, bond yields)

    Potential Applications:

    • Stock price prediction

    • Portfolio optimization

    • Algorithmic trading

    • Market sentiment analysis

    • Risk management

    Use Cases:

    • Researchers investigating the effectiveness of machine learning in stock market prediction

    • Analysts developing quantitative trading Buy/Sell strategies

    • Individuals interested in building their own stock market prediction models

    • Students learning about machine learning and financial applications

    Additional Notes:

    • The dataset may include different levels of granularity (e.g., daily, hourly)

    • Data cleaning and preprocessing are essential before model training

    • Regular updates are recommended to maintain the accuracy and relevance of the data

  5. ETSY's Earnings: A Sign of E-commerce Strength? (Forecast)

    • kappasignal.com
    Updated Feb 9, 2024
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    KappaSignal (2024). ETSY's Earnings: A Sign of E-commerce Strength? (Forecast) [Dataset]. https://www.kappasignal.com/2024/02/etsys-earnings-sign-of-e-commerce.html
    Explore at:
    Dataset updated
    Feb 9, 2024
    Dataset authored and provided by
    KappaSignal
    License

    https://www.kappasignal.com/p/legal-disclaimer.htmlhttps://www.kappasignal.com/p/legal-disclaimer.html

    Description

    This analysis presents a rigorous exploration of financial data, incorporating a diverse range of statistical features. By providing a robust foundation, it facilitates advanced research and innovative modeling techniques within the field of finance.

    ETSY's Earnings: A Sign of E-commerce Strength?

    Financial data:

    • Historical daily stock prices (open, high, low, close, volume)

    • Fundamental data (e.g., market capitalization, price to earnings P/E ratio, dividend yield, earnings per share EPS, price to earnings growth, debt-to-equity ratio, price-to-book ratio, current ratio, free cash flow, projected earnings growth, return on equity, dividend payout ratio, price to sales ratio, credit rating)

    • Technical indicators (e.g., moving averages, RSI, MACD, average directional index, aroon oscillator, stochastic oscillator, on-balance volume, accumulation/distribution A/D line, parabolic SAR indicator, bollinger bands indicators, fibonacci, williams percent range, commodity channel index)

    Machine learning features:

    • Feature engineering based on financial data and technical indicators

    • Sentiment analysis data from social media and news articles

    • Macroeconomic data (e.g., GDP, unemployment rate, interest rates, consumer spending, building permits, consumer confidence, inflation, producer price index, money supply, home sales, retail sales, bond yields)

    Potential Applications:

    • Stock price prediction

    • Portfolio optimization

    • Algorithmic trading

    • Market sentiment analysis

    • Risk management

    Use Cases:

    • Researchers investigating the effectiveness of machine learning in stock market prediction

    • Analysts developing quantitative trading Buy/Sell strategies

    • Individuals interested in building their own stock market prediction models

    • Students learning about machine learning and financial applications

    Additional Notes:

    • The dataset may include different levels of granularity (e.g., daily, hourly)

    • Data cleaning and preprocessing are essential before model training

    • Regular updates are recommended to maintain the accuracy and relevance of the data

  6. k

    Etsy: A Hold for the Next 3 Months, But a Strong Buy for the Long Term...

    • kappasignal.com
    Updated Jun 7, 2023
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    KappaSignal (2023). Etsy: A Hold for the Next 3 Months, But a Strong Buy for the Long Term (Forecast) [Dataset]. https://www.kappasignal.com/2023/06/etsy-hold-for-next-3-months-but-strong.html
    Explore at:
    Dataset updated
    Jun 7, 2023
    Dataset authored and provided by
    KappaSignal
    License

    https://www.kappasignal.com/p/legal-disclaimer.htmlhttps://www.kappasignal.com/p/legal-disclaimer.html

    Description

    This analysis presents a rigorous exploration of financial data, incorporating a diverse range of statistical features. By providing a robust foundation, it facilitates advanced research and innovative modeling techniques within the field of finance.

    Etsy: A Hold for the Next 3 Months, But a Strong Buy for the Long Term

    Financial data:

    • Historical daily stock prices (open, high, low, close, volume)

    • Fundamental data (e.g., market capitalization, price to earnings P/E ratio, dividend yield, earnings per share EPS, price to earnings growth, debt-to-equity ratio, price-to-book ratio, current ratio, free cash flow, projected earnings growth, return on equity, dividend payout ratio, price to sales ratio, credit rating)

    • Technical indicators (e.g., moving averages, RSI, MACD, average directional index, aroon oscillator, stochastic oscillator, on-balance volume, accumulation/distribution A/D line, parabolic SAR indicator, bollinger bands indicators, fibonacci, williams percent range, commodity channel index)

    Machine learning features:

    • Feature engineering based on financial data and technical indicators

    • Sentiment analysis data from social media and news articles

    • Macroeconomic data (e.g., GDP, unemployment rate, interest rates, consumer spending, building permits, consumer confidence, inflation, producer price index, money supply, home sales, retail sales, bond yields)

    Potential Applications:

    • Stock price prediction

    • Portfolio optimization

    • Algorithmic trading

    • Market sentiment analysis

    • Risk management

    Use Cases:

    • Researchers investigating the effectiveness of machine learning in stock market prediction

    • Analysts developing quantitative trading Buy/Sell strategies

    • Individuals interested in building their own stock market prediction models

    • Students learning about machine learning and financial applications

    Additional Notes:

    • The dataset may include different levels of granularity (e.g., daily, hourly)

    • Data cleaning and preprocessing are essential before model training

    • Regular updates are recommended to maintain the accuracy and relevance of the data

  7. k

    Etsy's Artistic Adventure: Will It Paint a Profitable Picture? (ETSY)...

    • kappasignal.com
    Updated Feb 7, 2024
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    KappaSignal (2024). Etsy's Artistic Adventure: Will It Paint a Profitable Picture? (ETSY) (Forecast) [Dataset]. https://www.kappasignal.com/2024/02/etsys-artistic-adventure-will-it-paint.html
    Explore at:
    Dataset updated
    Feb 7, 2024
    Dataset authored and provided by
    KappaSignal
    License

    https://www.kappasignal.com/p/legal-disclaimer.htmlhttps://www.kappasignal.com/p/legal-disclaimer.html

    Description

    This analysis presents a rigorous exploration of financial data, incorporating a diverse range of statistical features. By providing a robust foundation, it facilitates advanced research and innovative modeling techniques within the field of finance.

    Etsy's Artistic Adventure: Will It Paint a Profitable Picture? (ETSY)

    Financial data:

    • Historical daily stock prices (open, high, low, close, volume)

    • Fundamental data (e.g., market capitalization, price to earnings P/E ratio, dividend yield, earnings per share EPS, price to earnings growth, debt-to-equity ratio, price-to-book ratio, current ratio, free cash flow, projected earnings growth, return on equity, dividend payout ratio, price to sales ratio, credit rating)

    • Technical indicators (e.g., moving averages, RSI, MACD, average directional index, aroon oscillator, stochastic oscillator, on-balance volume, accumulation/distribution A/D line, parabolic SAR indicator, bollinger bands indicators, fibonacci, williams percent range, commodity channel index)

    Machine learning features:

    • Feature engineering based on financial data and technical indicators

    • Sentiment analysis data from social media and news articles

    • Macroeconomic data (e.g., GDP, unemployment rate, interest rates, consumer spending, building permits, consumer confidence, inflation, producer price index, money supply, home sales, retail sales, bond yields)

    Potential Applications:

    • Stock price prediction

    • Portfolio optimization

    • Algorithmic trading

    • Market sentiment analysis

    • Risk management

    Use Cases:

    • Researchers investigating the effectiveness of machine learning in stock market prediction

    • Analysts developing quantitative trading Buy/Sell strategies

    • Individuals interested in building their own stock market prediction models

    • Students learning about machine learning and financial applications

    Additional Notes:

    • The dataset may include different levels of granularity (e.g., daily, hourly)

    • Data cleaning and preprocessing are essential before model training

    • Regular updates are recommended to maintain the accuracy and relevance of the data

  8. ETSY Stock Forecast: A Buy For The Next 4 Weeks (Forecast)

    • kappasignal.com
    Updated Jun 14, 2023
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    KappaSignal (2023). ETSY Stock Forecast: A Buy For The Next 4 Weeks (Forecast) [Dataset]. https://www.kappasignal.com/2023/06/etsy-stock-forecast-buy-for-next-4-weeks.html
    Explore at:
    Dataset updated
    Jun 14, 2023
    Dataset authored and provided by
    KappaSignal
    License

    https://www.kappasignal.com/p/legal-disclaimer.htmlhttps://www.kappasignal.com/p/legal-disclaimer.html

    Description

    This analysis presents a rigorous exploration of financial data, incorporating a diverse range of statistical features. By providing a robust foundation, it facilitates advanced research and innovative modeling techniques within the field of finance.

    ETSY Stock Forecast: A Buy For The Next 4 Weeks

    Financial data:

    • Historical daily stock prices (open, high, low, close, volume)

    • Fundamental data (e.g., market capitalization, price to earnings P/E ratio, dividend yield, earnings per share EPS, price to earnings growth, debt-to-equity ratio, price-to-book ratio, current ratio, free cash flow, projected earnings growth, return on equity, dividend payout ratio, price to sales ratio, credit rating)

    • Technical indicators (e.g., moving averages, RSI, MACD, average directional index, aroon oscillator, stochastic oscillator, on-balance volume, accumulation/distribution A/D line, parabolic SAR indicator, bollinger bands indicators, fibonacci, williams percent range, commodity channel index)

    Machine learning features:

    • Feature engineering based on financial data and technical indicators

    • Sentiment analysis data from social media and news articles

    • Macroeconomic data (e.g., GDP, unemployment rate, interest rates, consumer spending, building permits, consumer confidence, inflation, producer price index, money supply, home sales, retail sales, bond yields)

    Potential Applications:

    • Stock price prediction

    • Portfolio optimization

    • Algorithmic trading

    • Market sentiment analysis

    • Risk management

    Use Cases:

    • Researchers investigating the effectiveness of machine learning in stock market prediction

    • Analysts developing quantitative trading Buy/Sell strategies

    • Individuals interested in building their own stock market prediction models

    • Students learning about machine learning and financial applications

    Additional Notes:

    • The dataset may include different levels of granularity (e.g., daily, hourly)

    • Data cleaning and preprocessing are essential before model training

    • Regular updates are recommended to maintain the accuracy and relevance of the data

  9. Not seeing a result you expected?
    Learn how you can add new datasets to our index.

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Statista (2025). Etsy: sellers with highest sales volume worldwide 2024 [Dataset]. https://www.statista.com/statistics/1306498/top-etsy-sellers-sales-volume/
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Etsy: sellers with highest sales volume worldwide 2024

Explore at:
Dataset updated
Jun 23, 2025
Dataset authored and provided by
Statistahttp://statista.com/
Time period covered
Oct 16, 2024
Area covered
Worldwide
Description

As of October 16, 2024, CaitlynMinimalist was the Etsy seller with the most sales on the platform in the previous year. The store, which sells jewelry, recorded over 680,000 purchases by Etsy buyers in 12 months. Esty’s Overview Etsy, an online marketplace, generates revenue from three primary segments: marketplace revenues, this includes fees for sales transactions and listings of products; seller service revenues; and other revenues which includes third-party payment processor fees. The annual revenue of Etsy has steadily increased over the past years, reaching over *** billion U.S. dollars, which in part is due to a steady increase of investment into their advertising. Usage of Etsy When ranking the leading websites by share of visits in the United States, esty.com was fourth, outranked by amazon.com, ebay.com, and walmart.com. Still, over the past years, the number of active Etsy sellers has increased, reaching over * million in 2023. That year, Etsy's active buyers also grew, reaching over ** million, a new high for the company.

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