Dark Mode
Cryptocurrency Market Dynamics Dataset
Crypto & Blockchain Transactions
Tags and Keywords
Trusted By
"No reviews yet"
Free
About
This dataset offers daily insights into Bitcoin's market performance and the broader cryptocurrency market sentiment. It provides daily closing prices and trading volumes for Bitcoin, alongside the Fear and Greed Index values for the overall crypto market. This unique collection enables researchers and analysts to explore the interplay between Bitcoin's price movements, trading activity, and market sentiment. By examining this data, users can uncover patterns, trends, and correlations, which can in turn inform investment strategies and decision-making within the dynamic cryptocurrency market. The dataset is ideal for gaining a nuanced understanding of market dynamics.
Columns
- Date: The date of the daily entry, spanning from 1st February 2018 to 31st March 2023.
- Fear and Greed Index Value: A numerical index representing the overall crypto market's sentiment, with values ranging from 5 to 95. The mean value is approximately 42.4.
- Value_Classification (Fear and Greed Classification): Categorical classification of market sentiment, including "Fear", "Extreme Fear", and "Other". "Fear" accounts for 34% of valid entries, while "Extreme Fear" accounts for 28%.
- BTC_Closing (Bitcoin Closing Price): The daily closing price of Bitcoin, with values ranging from approximately 3,240 to 67,600. The mean closing price is around 20,600.
- BTC_Volume (Bitcoin Volume): The daily trading volume of Bitcoin, with values ranging from approximately 2.92 billion to 351 billion. The mean volume is around 26.8 billion.
Distribution
The dataset is provided in a CSV file format and has a size of 99.06 kB. It contains 5 columns and approximately 1885 daily records. For the Fear and Greed Index Value and its classification, there are 1882 valid records, with 3 missing entries.
Usage
This dataset is suited for:
- Market Analysis: Identifying trends, patterns, and correlations between Bitcoin's price, volume, and market sentiment.
- Investment Strategy Development: Informing trading and investment decisions in the cryptocurrency market.
- Academic Research: Exploring market behaviour and dynamics in the crypto space.
- Predictive Modelling: Utilising for time series analysis, linear regression models, and applications developed with tools like PyTorch.
- Sentiment Analysis: Studying the impact of market sentiment on Bitcoin's performance.
Coverage
The data spans a time range from 1st February 2018 to 31st March 2023, providing daily observations. It focuses on Bitcoin and the overall cryptocurrency market sentiment, making it globally relevant for cryptocurrency analysis. The dataset is expected to be updated monthly.
License
CC0: Public Domain
Who Can Use It
- Financial Analysts: To assess market conditions and predict potential price movements.
- Data Scientists: For building and testing models related to cryptocurrency market forecasting.
- Researchers: Studying the economic and behavioural aspects of digital assets.
- Investors: To enhance their understanding of market drivers and make informed decisions.
- Academics: For educational purposes or in-depth studies of financial markets.
Dataset Name Suggestions
- Bitcoin Daily Market & Sentiment Data
- Crypto Fear Greed Index & BTC Metrics
- Daily Bitcoin Price, Volume, Sentiment
- Cryptocurrency Market Dynamics Dataset
- Bitcoin Trading Data with Market Sentiment
Attributes
Original Data Source: Cryptocurrency Market Dynamics Dataset
QUALITY