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Decade of BTC Price and Volume Data
Crypto & Blockchain Transactions
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About
Provides the historical daily prices and volume changes for Bitcoin spanning a full ten-year period. It serves as a valuable resource for those looking to investigate investment in BTC, develop forecasting models, or study the long-term volatility and growth patterns of the world’s leading cryptocurrency.
Columns
The dataset contains seven key columns:
- Date: Specifies the calendar day for which the corresponding financial information is logged.
- Price: The closing price of BTC on the specified date, with values ranging widely from 4.2 to 67.5k.
- Open: The price at which the market began trading for the day.
- High: The maximum price reached during the trading day, with a recorded maximum of 69k.
- Low: The minimum price reached during the trading day.
- Vol. (Volume): The volume of BTC traded on that day, featuring 3345 unique values.
- Change %: The percentage change in the closing price from the previous day, which has varied between -57.2 and 337.
Distribution
The data is supplied in a CSV file format, named BTC 2012-2021.csv, with a file size of 184.6 kB. It consists of 3653 validated daily records. The data quality is high, with 100% validity across all columns and no reported missing or mismatched entries.
Usage
This dataset is ideal for advanced financial and statistical applications, including:
- Creating predictive models (e.g., using regression) to forecast future movements of Bitcoin’s price.
- Conducting detailed time series analysis to understand long-term market cycles.
- Supporting quantitative research into the factors influencing cryptocurrency volume and volatility.
- Back-testing trading strategies over a significant historical window.
Coverage
The dataset covers a full ten-year period, beginning on 1 January 2012 and concluding on 31 December 2021. The focus is global Bitcoin price data. The dataset includes daily records for every year in this range, including leap years.
License
CC0: Public Domain
Who Can Use It
- Quantitative Analysts: Utilising the data to build sophisticated trading algorithms.
- Financial Researchers: Studying the economic impact and adoption curve of Bitcoin.
- Data Scientists: Training machine learning models for high-stakes forecasting.
- Individual Investors: Performing personal due diligence and historical analysis before investing.
Dataset Name Suggestions
- Bitcoin Daily Price History (2012-2021)
- Decade of BTC Price and Volume Data
- Cryptocurrency Time Series: Bitcoin 2012-2021
- BTC Historical Price Data for Predictive Modelling
Attributes
Original Data Source:Decade of BTC Price and Volume Data
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