4 datasets found
  1. ETH-USD Stock Market @Kraken

    • kaggle.com
    Updated Mar 8, 2022
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    olmatz (2022). ETH-USD Stock Market @Kraken [Dataset]. https://www.kaggle.com/datasets/olmatz/ethusd-stock-market-kraken
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Mar 8, 2022
    Dataset provided by
    Kaggle
    Authors
    olmatz
    License

    https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

    Description

    Context

    Real and up to date stock market exchange of cryptocurrencies can be quite expensive and are hard to get. However, historical financial data are the starting point to develop algorithm(s) to analyze market trend and why not beat the market by predicting market movement.

    Content

    Data provided in this dataset are historical data from the beginning of ETH-USD pair market on Kraken exchange up to the present (2021 December). This data comes frome real trades on one of the most popular cryptocurrencies exchange.

    Trading history

    Historical market data, also known as trading history, time and sales or tick data, provides a detailed record of every trade that happens on Kraken exchange, and includes the following information: - Timestamp - The exact date and time of each trade. - Price - The price at which each trade occurred. - Volume - The amount of volume that was traded.

    OHLCVT

    In addition, OHLCVT data are provided for the most common period interval: 1 min, 5 min, 15 min, 1 hour, 12 hours and 1 day. OHLCVT stands for Open, High, Low, Close, Volume and Trades and represents the following trading information for each time period: - Open - The first traded price - High - The highest traded price - Low - The lowest traded price - Close - The final traded price - Volume - The total volume traded by all trades - Trades - The number of individual trades

    Don't hesitate to tell me if you need other period interval đŸ˜‰ ...

    Update

    This dataset will be updated every quarter to add new and up to date market trend. Let me know if you need an update more frequently.

    Inspiration

    Can you beat the market? Let see what you can do with these data!

  2. XRP-XBT Stock Market @Kraken

    • kaggle.com
    Updated Mar 8, 2022
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    olmatz (2022). XRP-XBT Stock Market @Kraken [Dataset]. https://www.kaggle.com/olmatz/xrpxbt-stock-market-kraken/code
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Mar 8, 2022
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    olmatz
    License

    https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

    Description

    Context

    Real and up to date stock market exchange of cryptocurrencies can be quite expensive and are hard to get. However, historical financial data are the starting point to develop algorithm(s) to analyze market trend and why not beat the market by predicting market movement.

    Content

    Data provided in this dataset are historical data from the beginning of XRP-XBT pair market on Kraken exchange up to the present (2021 December). This data comes frome real trades on one of the most popular cryptocurrencies exchange.

    Trading history

    Historical market data, also known as trading history, time and sales or tick data, provides a detailed record of every trade that happens on Kraken exchange, and includes the following information: - Timestamp - The exact date and time of each trade. - Price - The price at which each trade occurred. - Volume - The amount of volume that was traded.

    OHLCVT

    In addition, OHLCVT data are provided for the most common period interval: 1 min, 5 min, 15 min, 1 hour, 12 hours and 1 day. OHLCVT stands for Open, High, Low, Close, Volume and Trades and represents the following trading information for each time period: - Open - The first traded price - High - The highest traded price - Low - The lowest traded price - Close - The final traded price - Volume - The total volume traded by all trades - Trades - The number of individual trades

    Don't hesitate to tell me if you need other period interval đŸ˜‰ ...

    Update

    This dataset will be updated every quarter to add new and up to date market trend. Let me know if you need an update more frequently.

    Inspiration

    Can you beat the market? Let see what you can do with these data!

  3. US Stock Market and Commodities Data (2020-2024)

    • kaggle.com
    Updated Sep 1, 2024
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    Muhammad Ehsan (2024). US Stock Market and Commodities Data (2020-2024) [Dataset]. https://www.kaggle.com/datasets/muhammadehsan02/us-stock-market-and-commodities-data-2020-2024/code
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Sep 1, 2024
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Muhammad Ehsan
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    The US_Stock_Data.csv dataset offers a comprehensive view of the US stock market and related financial instruments, spanning from January 2, 2020, to February 2, 2024. This dataset includes 39 columns, covering a broad spectrum of financial data points such as prices and volumes of major stocks, indices, commodities, and cryptocurrencies. The data is presented in a structured CSV file format, making it easily accessible and usable for various financial analyses, market research, and predictive modeling. This dataset is ideal for anyone looking to gain insights into the trends and movements within the US financial markets during this period, including the impact of major global events.

    Key Features and Data Structure

    The dataset captures daily financial data across multiple assets, providing a well-rounded perspective of market dynamics. Key features include:

    • Commodities: Prices and trading volumes for natural gas, crude oil, copper, platinum, silver, and gold.
    • Cryptocurrencies: Prices and volumes for Bitcoin and Ethereum, including detailed 5-minute interval data for Bitcoin.
    • Stock Market Indices: Data for major indices such as the S&P 500 and Nasdaq 100.
    • Individual Stocks: Prices and volumes for major companies including Apple, Tesla, Microsoft, Google, Nvidia, Berkshire Hathaway, Netflix, Amazon, and Meta.

    The dataset’s structure is designed for straightforward integration into various analytical tools and platforms. Each column is dedicated to a specific asset's daily price or volume, enabling users to perform a wide range of analyses, from simple trend observations to complex predictive models. The inclusion of intraday data for Bitcoin provides a detailed view of market movements.

    Applications and Usability

    This dataset is highly versatile and can be utilized for various financial research purposes:

    • Market Analysis: Track the performance of key assets, compare volatility, and study correlations between different financial instruments.
    • Risk Assessment: Analyze the impact of commodity price movements on related stock prices and evaluate market risks.
    • Educational Use: Serve as a resource for teaching market trends, asset correlation, and the effects of global events on financial markets.

    The dataset’s daily updates ensure that users have access to the most current data, which is crucial for real-time analysis and decision-making. Whether for academic research, market analysis, or financial modeling, the US_Stock_Data.csv dataset provides a valuable foundation for exploring the complexities of financial markets over the specified period.

    Acknowledgements:

    This dataset would not be possible without the contributions of Dhaval Patel, who initially curated the US stock market data spanning from 2020 to 2024. Full credit goes to Dhaval Patel for creating and maintaining the dataset. You can find the original dataset here: US Stock Market 2020 to 2024.

  4. t

    India Cryptocurrency Market Demand, Size and Competitive Analysis | TechSci...

    • techsciresearch.com
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    TechSci Research, India Cryptocurrency Market Demand, Size and Competitive Analysis | TechSci Research [Dataset]. https://www.techsciresearch.com/report/india-cryptocurrency-market/4929.html
    Explore at:
    Dataset authored and provided by
    TechSci Research
    License

    https://www.techsciresearch.com/privacy-policy.aspxhttps://www.techsciresearch.com/privacy-policy.aspx

    Area covered
    India
    Description

    India Cryptocurrency Market was valued at USD 3.98 Billion in 2025 and is expected to reach USD 11.07 Billion by 2031 with a CAGR of 18.65%.

    Pages83
    Market Size2025: USD 3.98 Billion
    Forecast Market Size2031: USD 11.07 Billion
    CAGR2026-2031: 18.65%
    Fastest Growing SegmentSoftware
    Largest MarketSouth
    Key Players1. Intel Corporation India Private Limited 2. NVIDIA Corporation 3. Microsoft Corporation India Pvt Ltd 4. Xilinx India Private Limited 5. Advanced Microdevices Pvt. Ltd. 6. Amazon India Pvt Ltd. 7. Unocoin 8. BitGo 9. Coinbase 10. Ripple Labs Private Limited

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    Learn how you can add new datasets to our index.

Share
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TwitterTwitter
Email
Click to copy link
Link copied
Close
Cite
olmatz (2022). ETH-USD Stock Market @Kraken [Dataset]. https://www.kaggle.com/datasets/olmatz/ethusd-stock-market-kraken
Organization logo

ETH-USD Stock Market @Kraken

ETH-USD stock market at Kraken Exchange

Explore at:
CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
Dataset updated
Mar 8, 2022
Dataset provided by
Kaggle
Authors
olmatz
License

https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

Description

Context

Real and up to date stock market exchange of cryptocurrencies can be quite expensive and are hard to get. However, historical financial data are the starting point to develop algorithm(s) to analyze market trend and why not beat the market by predicting market movement.

Content

Data provided in this dataset are historical data from the beginning of ETH-USD pair market on Kraken exchange up to the present (2021 December). This data comes frome real trades on one of the most popular cryptocurrencies exchange.

Trading history

Historical market data, also known as trading history, time and sales or tick data, provides a detailed record of every trade that happens on Kraken exchange, and includes the following information: - Timestamp - The exact date and time of each trade. - Price - The price at which each trade occurred. - Volume - The amount of volume that was traded.

OHLCVT

In addition, OHLCVT data are provided for the most common period interval: 1 min, 5 min, 15 min, 1 hour, 12 hours and 1 day. OHLCVT stands for Open, High, Low, Close, Volume and Trades and represents the following trading information for each time period: - Open - The first traded price - High - The highest traded price - Low - The lowest traded price - Close - The final traded price - Volume - The total volume traded by all trades - Trades - The number of individual trades

Don't hesitate to tell me if you need other period interval đŸ˜‰ ...

Update

This dataset will be updated every quarter to add new and up to date market trend. Let me know if you need an update more frequently.

Inspiration

Can you beat the market? Let see what you can do with these data!

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