Dark Mode
Eight-Year Bitcoin Price Prediction Data
Crypto & Blockchain Transactions
Tags and Keywords
Trusted By
"No reviews yet"
Free
About
Bitcoin price data for the past eight years, from 2015 to March 2024, is available for in-depth analysis of its market behaviour. This dataset features daily opening, highest, lowest, and closing prices, alongside trading volume. It incorporates various technical indicators to help analyse trends and market conditions. The primary goal of this data is to aid in forecasting the Bitcoin closing price for the subsequent day, making it a valuable resource for predicting market movements.
Columns
- date: The transaction date.
- open: The opening price of Bitcoin for the day.
- high: The highest price reached by Bitcoin during the day.
- low: The lowest price reached by Bitcoin during the day.
- close: The closing price of Bitcoin for the day.
- volume: The trading volume of Bitcoin for the day.
- rsi_7: The 7-day Relative Strength Index, used to identify if the asset is overbought or oversold.
- rsi_14: The 14-day Relative Strength Index, also used to identify if the asset is overbought or oversold.
- cci_7: The 7-day Commodity Channel Index, which compares the current price to the historical average to highlight short-term trends.
- cci_14: The 14-day Commodity Channel Index, used for spotting medium-term trends by comparing the current price to its historical average.
- sma_50: The 50-day Simple Moving Average, providing insight into the asset's trend direction.
- ema_50: The 50-day Exponential Moving Average, also indicating the asset's trend direction.
- sma_100: The 100-day Simple Moving Average, useful for understanding longer-term trend direction.
- ema_100: The 100-day Exponential Moving Average, offering insight into longer-term trend direction.
- macd: The Moving Average Convergence Divergence indicator.
- bollinger: Bollinger Bands, used for assessing price volatility.
- TrueRange: The True Range indicator.
- atr_7: The 7-day Average True Range, offering insights into market volatility.
- atr_14: The 14-day Average True Range, providing further insights into market volatility.
- next_day_close: The forecasted closing price for the next day.
Distribution
The dataset is provided in a tabular format, specifically as a CSV file named
btc_2015_2024.csv, with a file size of 1.07 MB. It contains 20 columns and 3406 valid records. The data is expected to be updated quarterly.Usage
This dataset is ideal for:
- Forecasting Bitcoin's closing price for the next day.
- Conducting technical analysis of Bitcoin price trends over an extended period.
- Developing predictive models for cryptocurrency market movements.
- Identifying periods when Bitcoin is potentially overbought or oversold using RSI.
- Analysing short-term and medium-term price trends with CCI.
- Understanding the overall trend direction through various moving averages.
- Assessing market volatility using indicators like Bollinger Bands and Average True Range.
Coverage
The data covers Bitcoin price behaviour over an eight-year period, specifically from 2nd January 2015 to 29th April 2024. The scope is focused on Bitcoin price data and related technical indicators.
License
CC0: Public Domain
Who Can Use It
This dataset is suitable for:
- Financial Analysts: For detailed market analysis and trend identification.
- Data Scientists and Machine Learning Engineers: For building and training models to predict Bitcoin prices.
- Traders and Investors: To inform trading strategies and investment decisions.
- Researchers: For academic studies on cryptocurrency market dynamics and behaviour.
Dataset Name Suggestions
- Bitcoin Historical Price & Technical Indicators
- BTC Daily Trends Dataset (2015-2024)
- Eight-Year Bitcoin Price Prediction Data
- Cryptocurrency Market Analysis Data
Attributes
Original Data Source: Eight-Year Bitcoin Price Prediction Data
QUALITY