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Crypto Forecasting Pulse Dataset
Crypto & Blockchain Transactions
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About
A curated dataset designed for researchers and developers aiming to predict hourly Bitcoin price movements. It integrates various signals, including hourly cryptocurrency market metrics, global macroeconomic indices, and psychological sentiment indicators. It combines macro, market, and sentiment data, offering a powerful foundation for time series modeling and forecasting Bitcoin hourly price fluctuations. Features include data points on major crypto markets, global stock indices, and indicators such as the Fear & Greed Index.
Columns
The dataset features 99 columns in total, with examples including price and volume metrics, along with timestamp data.
- timestamp: Indicates the exact time of observation, formatted as YYYY-MM-DD HH:MM:SS.
- BTC_USDT_1h_open, BTC_USDT_1h_high, BTC_USDT_1h_low, BTC_USDT_1h_close: Hourly price metrics for Bitcoin (BTC).
- BNB_USDT_1h_open, BNB_USDT_1h_high, BNB_USDT_1h_low, BNB_USDT_1h_close: Hourly price metrics for Binance Coin (BNB).
- BNB_USDT_1h_volume: The hourly trading volume for Binance Coin.
- Other features include: Indicators from derivatives markets such as open interest and volatility metrics, alongside data from other crypto markets (ETH, SOL, DOGE), major global indices (NASDAQ, S&P500, DAX), and sentiment data (Google Trends, BTC dominance).
Distribution
The data is structured at an hourly frequency and is fully processed, aligned, and ready for use in time series modeling. It contains approximately 17.5k valid records. The file name is 'Bitcoin Pulse Hourly Dataset from Markets Trends and Fear.csv', occupying 20.33 MB. Updates are expected on a quarterly basis.
Usage
Ideal applications centre on quantitative finance and research focused on predicting hourly movements in the Bitcoin market. This dataset is suitable for training advanced machine learning models, assessing the impact of global macro conditions on crypto prices, and exploring how sentiment indicators influence short-term volatility.
Coverage
The dataset spans a significant period, with records dating from 9 April 2023 up to 8 April 2025. It covers key assets like BTC, ETH, and SOL, major stock market indices such as NASDAQ and DAX, and indicators reflecting market psychology.
License
CC BY-SA 4.0
Who Can Use It
- Researchers developing predictive models for digital assets.
- Developers creating automated trading bots targeting hourly price changes.
- Investment analysts requiring combined macroeconomic and crypto market data.
- Data scientists interested in multi-factor time series analysis for financial forecasting.
Dataset Name Suggestions
- Bitcoin Market, Macro, and Sentiment Hourly Data
- Hourly BTC Price Prediction Indicators
- Crypto Forecasting Pulse Dataset
- Market Trends and Fear Index for Bitcoin
Attributes
Original Data Source: Crypto Forecasting Pulse Dataset
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