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Bitcoin USD OHLCV Market Data
Stock & Market Data
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About
Historical price movements for Bitcoin (BTC) against the US Dollar (USD) spanning over a decade. This data product offers high-frequency market data, specifically minute-level (M1) and five-minute (M5) intervals, capturing the evolution of the cryptocurrency market from 2011 through to mid-2021. It is intended for quantitative analysis, algorithmic trading strategy development, and long-term trend research. The expected update frequency is monthly.
Columns
The data is structured using standard financial market columns:
- time: The date and time stamp for the observed interval. Coverage ranges from March 2011 to June 2021.
- open: The price at the beginning of the time interval.
- high: The highest price reached during the interval.
- low: The lowest price reached during the interval.
- close: The price at the end of the time interval.
- volume (Tick Volume): The number of price movements or ticks recorded during the interval.
Distribution
The entire collection contains approximately 1.63 million validated records. The data is typically supplied in CSV format. Validation statistics indicate that 100% of the data is valid, with no mismatched or missing values identified across the primary fields. The usability rating of the underlying data is 10.00.
Usage
This granular data is highly useful for back-testing quantitative trading algorithms or creating predictive models for cryptocurrency markets. It supports financial market research into Bitcoin's historical volatility and price discovery mechanisms. It can also be used for educational purposes to illustrate time-series analysis in finance.
Coverage
The temporal scope covers a ten-year period, beginning on 24 March 2011 and concluding on 15 June 2021. The data focuses exclusively on the price pairing of Bitcoin versus the US Dollar (BTCUSD). It includes various time frames, ranging from weekly (W1) down to minute (M1) intervals, providing flexibility for diverse analytical requirements.
License
CC BY-NC-SA 4.0
Who Can Use It
Quantitative Analysts: For developing and testing high-frequency trading strategies. Financial Researchers: For studying long-term trends and macroeconomic impacts on digital currency prices. Data Scientists: For training machine learning models based on market dynamics.
Dataset Name Suggestions
- BTC/USD High-Frequency Historical Prices (2011-2021)
- Bitcoin USD OHLCV Market Data
- BTCUSD Historical Minute and Daily Trading Data
Attributes
Original Data Source: Bitcoin USD OHLCV Market Data
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