3 datasets found
  1. Ethereum Price USD (2018-2023)

    • kaggle.com
    Updated Aug 6, 2023
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Ahmad Waleed (2023). Ethereum Price USD (2018-2023) [Dataset]. https://www.kaggle.com/ahmadwaleed1/ethereum-price-usd-2016-2023/discussion
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Aug 6, 2023
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Ahmad Waleed
    License

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

    Description

    Description: The "Ethereum Price USD (2018-2023)" dataset on Kaggle presents a comprehensive collection of historical Ethereum cryptocurrency price data in USD from the year 2018 to 2023. This dataset serves as a valuable resource for researchers, analysts, and enthusiasts interested in studying the trends and patterns of Ethereum's price movement over the years.

    The dataset is carefully curated and includes daily price data for Ethereum, one of the leading cryptocurrencies in the market. Each entry in the dataset contains essential information, such as the date, closing price, and trading volume, enabling users to perform a wide range of analyses and gain insights into Ethereum's market behavior.

    It includes the following columns:

    Date: This column represents the date on which the price data was recorded. It typically follows the format of YYYY-MM-DD (year-month-day), indicating the specific day for which the price information is provided.

    Price: The "Price" column contains the closing price of Ethereum on the corresponding date. It represents the value at which Ethereum was traded at the end of the trading day in USD.

    Open: The "Open" column denotes the opening price of Ethereum on the given date. It signifies the price at which the first trade occurred on that day.

    High: The "High" column shows the highest price of Ethereum recorded on the date. It represents the peak price level reached during the trading session.

    Low: The "Low" column displays the lowest price of Ethereum recorded on the date. It indicates the minimum price level reached during the trading session.

    Vol. (Volume): The "Volume" column represents the trading volume of Ethereum on the date. It reflects the total number of Ethereum coins traded during the entire trading session.

    Change %: The "Change %" column provides the percentage change in Ethereum's price from the previous trading day's closing price to the current day's closing price. It shows how much the price has increased or decreased in percentage terms.

    Key Features: 1. Timeframe: The dataset spans from the year 2016, capturing the early stages of Ethereum's existence, up to the current year 2023. This extensive temporal coverage allows users to observe how Ethereum's price has evolved over time, through both bullish and bearish market conditions.

    1. Price Data: For each date in the dataset, the closing price of Ethereum in USD is provided. This data is crucial for analyzing price trends, volatility, and identifying significant price movements.

    2. Trading Volume: In addition to price information, the dataset also includes daily trading volume, enabling users to assess the liquidity and trading activity surrounding Ethereum on any given day.

    Potential Use Cases: The "Ethereum Price USD (2018-2023)" dataset opens up a wide range of possibilities for data analysis and research. Some potential use cases include:

    1. Trend Analysis: Researchers can use this dataset to identify long-term price trends, recurring patterns, and cycles in Ethereum's price movement.

    2. Volatility Assessment: Traders and analysts can study the volatility of Ethereum's price over different time periods and understand its impact on market sentiment.

    3. Event Correlation: By combining this dataset with external event data, users can explore correlations between specific events (e.g., technological developments, regulatory changes) and Ethereum's price fluctuations.

    4. Predictive Modeling: Data scientists and machine learning enthusiasts can use this dataset to build predictive models for forecasting Ethereum's future price movements.

    5. Investment Strategy: Investors can analyze historical price data to make informed decisions about Ethereum's potential as an investment asset.

    Data Source: The "Ethereum Price USD (2018-2023)" dataset is sourced from reliable and reputable cryptocurrency exchanges and market data providers. Users can be confident in the accuracy and quality of the data, ensuring the reliability of their analyses and insights.

    Note: As with any financial dataset, users are advised to exercise caution and perform their due diligence when using this data for investment decisions or any other financial purposes. Historical price data may not guarantee future performance, and cryptocurrency markets can be highly volatile.

    Disclaimer: The dataset provided on Kaggle is intended for informational and educational purposes only. The uploader and Kaggle are not responsible for any financial or investment decisions made based on the data. Users are encouraged to seek professional financial advice before making any investment decisions.

  2. Bitcoin (BTC) blockchain size as of May 13, 2025

    • statista.com
    • ai-chatbox.pro
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Statista, Bitcoin (BTC) blockchain size as of May 13, 2025 [Dataset]. https://www.statista.com/statistics/647523/worldwide-bitcoin-blockchain-size/
    Explore at:
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Worldwide
    Description

    Bitcoin's blockchain size was close to reaching 5450 gigabytes in 2024, as the database saw exponential growth by nearly one gigabyte every few days. The Bitcoin blockchain contains a continuously growing and tamper-evident list of all Bitcoin transactions and records since its initial release in January 2009. Bitcoin has a set limit of 21 million coins, the last of which will be mined around 2140, according to a forecast made in 2017. Bitcoin mining: A somewhat uncharted world Despite interest in the topic, there are few accurate figures on how big Bitcoin mining is on a country-by-country basis. Bitcoin's design philosophy is at the heart of this. Created out of protest against governments and central banks, Bitcoin's blockchain effectively hides both the country of origin and the destination country within a (mining) transaction. Research involving IP addresses placed the United States as the world's most Bitcoin mining country in 2022 - but the source admits IP addresses can easily be manipulated using VPN. Note that mining figures are different from figures on Bitcoin trading: Africa and Latin America were more interested in buying and selling BTC than some of the world's developed economies. Bitcoin developments Bitcoin's trade volume slowed in the second quarter of 2023, after hitting a noticeable growth at the beginning of the year. The coin outperformed most of the market. Some attribute this to the announcement in June 203 that BlackRock filed for a Bitcoin ETF. This iShares Bitcoin Trust was to use Coinbase Custody as its custodian. Regulators in the United States had not yet approved any applications for spot ETFs on Bitcoin.

  3. datasheet1_A Mechanism to Detect and Prevent Ethereum Blockchain Smart...

    • cryptodata.center
    Updated Dec 4, 2024
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    cryptodata.center (2024). datasheet1_A Mechanism to Detect and Prevent Ethereum Blockchain Smart Contract Reentrancy Attacks.pdf - Dataset - CryptoData Hub [Dataset]. https://cryptodata.center/dataset/mechanism-to-detect-and-prevent-ethereum-blockchain-smart-contract-reentrancy-attacks
    Explore at:
    Dataset updated
    Dec 4, 2024
    Dataset provided by
    CryptoDATA
    License

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

    Description

    In Ethereum blockchain, smart contracts are immutable, public, and distributed. However, they are subject to many vulnerabilities stemming from coding errors made by developers. Seven cybersecurity incidents occurred in Ethereum smart contracts between 2016 and 2018, which led to financial losses estimated to be over US$ 289 million. Reentrancy vulnerability was the cause of two of these incidents, and the impacts went far beyond financial loss. Several reentrancy countermeasures are available, which are based on predefined patterns that are used to prevent vulnerability exploitation before the deployment of a smart contract; however, several limitations have been identified in these countermeasures. Motivated by all these issues, the objective of this article is to help developers improve the cybersecurity of smart contracts by proposing a solution that calculates the difference between the contract balance and the total balance of all participants in a smart contract before and after any operation in a transaction that changes its state. Proof-of-concept implementations show that this solution can provide a detection and prevention mechanism against reentrancy attacks during the execution of any smart contract.

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

Share
FacebookFacebook
TwitterTwitter
Email
Click to copy link
Link copied
Close
Cite
Ahmad Waleed (2023). Ethereum Price USD (2018-2023) [Dataset]. https://www.kaggle.com/ahmadwaleed1/ethereum-price-usd-2016-2023/discussion
Organization logo

Ethereum Price USD (2018-2023)

Ethereum Historical Price Data USD (2018-2023)

Explore at:
CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
Dataset updated
Aug 6, 2023
Dataset provided by
Kagglehttp://kaggle.com/
Authors
Ahmad Waleed
License

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

Description

Description: The "Ethereum Price USD (2018-2023)" dataset on Kaggle presents a comprehensive collection of historical Ethereum cryptocurrency price data in USD from the year 2018 to 2023. This dataset serves as a valuable resource for researchers, analysts, and enthusiasts interested in studying the trends and patterns of Ethereum's price movement over the years.

The dataset is carefully curated and includes daily price data for Ethereum, one of the leading cryptocurrencies in the market. Each entry in the dataset contains essential information, such as the date, closing price, and trading volume, enabling users to perform a wide range of analyses and gain insights into Ethereum's market behavior.

It includes the following columns:

Date: This column represents the date on which the price data was recorded. It typically follows the format of YYYY-MM-DD (year-month-day), indicating the specific day for which the price information is provided.

Price: The "Price" column contains the closing price of Ethereum on the corresponding date. It represents the value at which Ethereum was traded at the end of the trading day in USD.

Open: The "Open" column denotes the opening price of Ethereum on the given date. It signifies the price at which the first trade occurred on that day.

High: The "High" column shows the highest price of Ethereum recorded on the date. It represents the peak price level reached during the trading session.

Low: The "Low" column displays the lowest price of Ethereum recorded on the date. It indicates the minimum price level reached during the trading session.

Vol. (Volume): The "Volume" column represents the trading volume of Ethereum on the date. It reflects the total number of Ethereum coins traded during the entire trading session.

Change %: The "Change %" column provides the percentage change in Ethereum's price from the previous trading day's closing price to the current day's closing price. It shows how much the price has increased or decreased in percentage terms.

Key Features: 1. Timeframe: The dataset spans from the year 2016, capturing the early stages of Ethereum's existence, up to the current year 2023. This extensive temporal coverage allows users to observe how Ethereum's price has evolved over time, through both bullish and bearish market conditions.

  1. Price Data: For each date in the dataset, the closing price of Ethereum in USD is provided. This data is crucial for analyzing price trends, volatility, and identifying significant price movements.

  2. Trading Volume: In addition to price information, the dataset also includes daily trading volume, enabling users to assess the liquidity and trading activity surrounding Ethereum on any given day.

Potential Use Cases: The "Ethereum Price USD (2018-2023)" dataset opens up a wide range of possibilities for data analysis and research. Some potential use cases include:

  1. Trend Analysis: Researchers can use this dataset to identify long-term price trends, recurring patterns, and cycles in Ethereum's price movement.

  2. Volatility Assessment: Traders and analysts can study the volatility of Ethereum's price over different time periods and understand its impact on market sentiment.

  3. Event Correlation: By combining this dataset with external event data, users can explore correlations between specific events (e.g., technological developments, regulatory changes) and Ethereum's price fluctuations.

  4. Predictive Modeling: Data scientists and machine learning enthusiasts can use this dataset to build predictive models for forecasting Ethereum's future price movements.

  5. Investment Strategy: Investors can analyze historical price data to make informed decisions about Ethereum's potential as an investment asset.

Data Source: The "Ethereum Price USD (2018-2023)" dataset is sourced from reliable and reputable cryptocurrency exchanges and market data providers. Users can be confident in the accuracy and quality of the data, ensuring the reliability of their analyses and insights.

Note: As with any financial dataset, users are advised to exercise caution and perform their due diligence when using this data for investment decisions or any other financial purposes. Historical price data may not guarantee future performance, and cryptocurrency markets can be highly volatile.

Disclaimer: The dataset provided on Kaggle is intended for informational and educational purposes only. The uploader and Kaggle are not responsible for any financial or investment decisions made based on the data. Users are encouraged to seek professional financial advice before making any investment decisions.

Search
Clear search
Close search
Google apps
Main menu