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Crypto Investor Fear and Greed Historical Data
Crypto & Blockchain Transactions
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About
Measures the emotional state of the cryptocurrency market, specifically focusing on Bitcoin sentiment, using a meter from 0 (Extreme Fear) to 100 (Extreme Greed). The index crunches analysis of emotions and sentiments from different sources into a single daily number. The fundamental assumption is that extreme fear can signal a buying opportunity when investors are too worried, while extreme greed often suggests the market is due for a correction. Analysing these shifts helps users avoid emotional overreactions such as the fear of missing out (FOMO) or irrational selling.
Columns
- fng_value: The numerical Fear & Greed index value, ranging from 0 (Extreme Fear) to 100 (Extreme Greed).
- date: The day associated with the input data used to calculate the index.
- fng_classification: The qualitative classification assigned to the fng_value (e.g., Fear, Extreme Fear, Extreme Greed, Neutral).
Distribution
The data is provided in CSV format, containing 1677 valid records across all fields. The index value (fng_value) has a mean of 43.2 and a standard deviation of 22.7. The raw data for this published version has an expected update frequency of quarterly.
Usage
Ideal for informing investment decisions by providing an objective metric of market sentiment. It is frequently used for quantitative analysis of emotional trading cycles, developing trading bots that react to shifts between extreme fear and extreme greed, and back-testing strategies aimed at buying dips caused by excessive panic or selling peaks driven by excessive greed. The index factors, including Volatility, Market Momentum, Social Media, Dominance, and Google Trends, offer a multifaceted view for deep learning models.
Coverage
The current index focuses exclusively on Bitcoin, deriving its inputs from global factors like price volatility, trading volume, Google Trends searches related to Bitcoin queries, and Bitcoin's market dominance relative to other cryptocurrencies. Sentiment factors also include ongoing Twitter analysis. Note that the Surveys factor (15% weight) is currently paused, and Reddit sentiment analysis is still experimental. The data includes 1677 daily records, providing a substantial historical time series of market sentiment.
License
CC0: Public Domain
Who Can Use It
- Quantitative Analysts: Using the index value as a leading indicator in predictive models for cryptocurrency price action.
- Retail Investors: Gaining a non-emotional view of the market to prevent trading based on personal bias or media hype.
- Data Scientists: Studying the relationship between social media interaction rates (Twitter analysis) and subsequent market behaviour.
- Academics/Researchers: Analysing financial market psychology and herd mentality within the highly volatile cryptocurrency space.
Dataset Name Suggestions
- Bitcoin Fear and Greed Sentiment Index
- Daily Crypto Market Emotion Index
- Bitcoin Volatility and Sentiment Data
- Alternative.me Fear & Greed Metrics
Attributes
Original Data Source: Crypto Investor Fear and Greed Historical Data
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