7 datasets found
  1. A

    ‘Crypto Fear and Greed Index’ analyzed by Analyst-2

    • analyst-2.ai
    Updated May 28, 2018
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    Analyst-2 (analyst-2.ai) / Inspirient GmbH (inspirient.com) (2018). ‘Crypto Fear and Greed Index’ analyzed by Analyst-2 [Dataset]. https://analyst-2.ai/analysis/kaggle-crypto-fear-and-greed-index-e01d/latest
    Explore at:
    Dataset updated
    May 28, 2018
    Dataset authored and provided by
    Analyst-2 (analyst-2.ai) / Inspirient GmbH (inspirient.com)
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Analysis of ‘Crypto Fear and Greed Index’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://www.kaggle.com/adelsondias/crypto-fear-and-greed-index on 13 February 2022.

    --- Dataset description provided by original source is as follows ---

    Crypto Fear and Greed Index

    Each day, the website https://alternative.me/crypto/fear-and-greed-index/ publishes this index based on analysis of emotions and sentiments from different sources crunched into one simple number: The Fear & Greed Index for Bitcoin and other large cryptocurrencies.

    Why Measure Fear and Greed?

    The crypto market behaviour is very emotional. People tend to get greedy when the market is rising which results in FOMO (Fear of missing out). Also, people often sell their coins in irrational reaction of seeing red numbers. With our Fear and Greed Index, we try to save you from your own emotional overreactions. There are two simple assumptions:

    • Extreme fear can be a sign that investors are too worried. That could be a buying opportunity.
    • When Investors are getting too greedy, that means the market is due for a correction.

    Therefore, we analyze the current sentiment of the Bitcoin market and crunch the numbers into a simple meter from 0 to 100. Zero means "Extreme Fear", while 100 means "Extreme Greed". See below for further information on our data sources.

    Data Sources

    We are gathering data from the five following sources. Each data point is valued the same as the day before in order to visualize a meaningful progress in sentiment change of the crypto market.

    First of all, the current index is for bitcoin only (we offer separate indices for large alt coins soon), because a big part of it is the volatility of the coin price.

    But let’s list all the different factors we’re including in the current index:

    Volatility (25 %)

    We’re measuring the current volatility and max. drawdowns of bitcoin and compare it with the corresponding average values of the last 30 days and 90 days. We argue that an unusual rise in volatility is a sign of a fearful market.

    Market Momentum/Volume (25%)

    Also, we’re measuring the current volume and market momentum (again in comparison with the last 30/90 day average values) and put those two values together. Generally, when we see high buying volumes in a positive market on a daily basis, we conclude that the market acts overly greedy / too bullish.

    Social Media (15%)

    While our reddit sentiment analysis is still not in the live index (we’re still experimenting some market-related key words in the text processing algorithm), our twitter analysis is running. There, we gather and count posts on various hashtags for each coin (publicly, we show only those for Bitcoin) and check how fast and how many interactions they receive in certain time frames). A unusual high interaction rate results in a grown public interest in the coin and in our eyes, corresponds to a greedy market behaviour.

    Surveys (15%) currently paused

    Together with strawpoll.com (disclaimer: we own this site, too), quite a large public polling platform, we’re conducting weekly crypto polls and ask people how they see the market. Usually, we’re seeing 2,000 - 3,000 votes on each poll, so we do get a picture of the sentiment of a group of crypto investors. We don’t give those results too much attention, but it was quite useful in the beginning of our studies. You can see some recent results here.

    Dominance (10%)

    The dominance of a coin resembles the market cap share of the whole crypto market. Especially for Bitcoin, we think that a rise in Bitcoin dominance is caused by a fear of (and thus a reduction of) too speculative alt-coin investments, since Bitcoin is becoming more and more the safe haven of crypto. On the other side, when Bitcoin dominance shrinks, people are getting more greedy by investing in more risky alt-coins, dreaming of their chance in next big bull run. Anyhow, analyzing the dominance for a coin other than Bitcoin, you could argue the other way round, since more interest in an alt-coin may conclude a bullish/greedy behaviour for that specific coin.

    Trends (10%)

    We pull Google Trends data for various Bitcoin related search queries and crunch those numbers, especially the change of search volumes as well as recommended other currently popular searches. For example, if you check Google Trends for "Bitcoin", you can’t get much information from the search volume. But currently, you can see that there is currently a +1,550% rise of the query „bitcoin price manipulation“ in the box of related search queries (as of 05/29/2018). This is clearly a sign of fear in the market, and we use that for our index.

    There's a story behind every dataset and here's your opportunity to share yours.

    Copyright disclaimer

    This dataset is produced and maintained by the administrators of https://alternative.me/crypto/fear-and-greed-index/.

    This published version is an unofficial copy of their data, which can be also collected using their API (e.g., GET https://api.alternative.me/fng/?limit=10&format=csv&date_format=us).

    --- Original source retains full ownership of the source dataset ---

  2. b

    Bitcoin Fear & Greed Index

    • bitcoinbagger.com
    Updated Jul 7, 2025
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    (2025). Bitcoin Fear & Greed Index [Dataset]. https://bitcoinbagger.com/bitcoin-fear-and-greed-index
    Explore at:
    Dataset updated
    Jul 7, 2025
    Description

    Live Bitcoin market sentiment indicator based on multiple data sources

  3. F

    Migration Fear Index for the United States

    • fred.stlouisfed.org
    json
    Updated May 2, 2025
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    (2025). Migration Fear Index for the United States [Dataset]. https://fred.stlouisfed.org/series/USEPUFEARINDX
    Explore at:
    jsonAvailable download formats
    Dataset updated
    May 2, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Area covered
    United States
    Description

    Graph and download economic data for Migration Fear Index for the United States (USEPUFEARINDX) from Q1 1990 to Q2 2025 about uncertainty, migration, indexes, and USA.

  4. Cryptocurrency Market Sentiment & Price Data 2025

    • kaggle.com
    Updated Jul 4, 2025
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    Pratyush Puri (2025). Cryptocurrency Market Sentiment & Price Data 2025 [Dataset]. https://www.kaggle.com/datasets/pratyushpuri/crypto-market-sentiment-and-price-dataset-2025
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Jul 4, 2025
    Dataset provided by
    Kaggle
    Authors
    Pratyush Puri
    License

    https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

    Description

    Description

    This dataset, titled "Cryptocurrency Market Sentiment & Prediction," is a synthetic collection of real-time crypto market data designed for advanced analysis and predictive modeling. It captures a comprehensive range of features including price movements, social sentiment, news impact, and trading patterns for 10 major cryptocurrencies. Tailored for data scientists and analysts, this dataset is ideal for exploring market volatility, sentiment analysis, and price prediction, particularly in the context of significant events like the Bitcoin halving in 2024 and increasing institutional adoption.

    Key Features Overview: - Price Movements: Tracks current prices and 24-hour price change percentages to reflect market dynamics. - Social Sentiment: Measures sentiment scores from social media platforms, ranging from -1 (negative) to 1 (positive), to gauge public perception. - News Sentiment and Impact: Evaluates sentiment from news sources and quantifies their potential impact on market behavior. - Trading Patterns: Includes data on 24-hour trading volumes and market capitalization, crucial for understanding market activity. - Technical Indicators: Features metrics like the Relative Strength Index (RSI), volatility index, and fear/greed index for in-depth technical analysis. - Prediction Confidence: Provides a confidence score for predictive models, aiding in assessing forecast reliability.

    Purpose and Applications: - Perfect for machine learning tasks such as price prediction, sentiment-price correlation studies, and volatility classification. - Supports time series analysis for forecasting price movements and identifying volatility clusters. - Valuable for research into the influence of social media and news on cryptocurrency markets, especially during high-impact events.

    Dataset Scope: - Covers a simulated 30-day period, offering a snapshot of market behavior under varying conditions. - Focuses on major cryptocurrencies including Bitcoin, Ethereum, Cardano, Solana, and others, ensuring relevance to current market trends.

    Dataset Structure Table:

    Column NameDescriptionData TypeRange/Value Example
    timestampDate and time of data recorddatetimeLast 30 days (e.g., 2025-06-04 20:36:49)
    cryptocurrencyName of the cryptocurrencystring10 major cryptos (e.g., Bitcoin)
    current_price_usdCurrent trading price in USDfloatMarket-realistic (e.g., 47418.4096)
    price_change_24h_percent24-hour price change percentagefloat-25% to +27% (e.g., 1.05)
    trading_volume_24h24-hour trading volumefloatVariable (e.g., 1800434.38)
    market_cap_usdMarket capitalization in USDfloatCalculated (e.g., 343755257516049.1)
    social_sentiment_scoreSentiment score from social mediafloat-1 to 1 (e.g., -0.728)
    news_sentiment_scoreSentiment score from news sourcesfloat-1 to 1 (e.g., -0.274)
    news_impact_scoreQuantified impact of news on marketfloat0 to 10 (e.g., 2.73)
    social_mentions_countNumber of mentions on social mediaintegerVariable (e.g., 707)
    fear_greed_indexMarket fear and greed indexfloat0 to 100 (e.g., 35.3)
    volatility_indexPrice volatility indexfloat0 to 100 (e.g., 36.0)
    rsi_technical_indicatorRelative Strength Indexfloat0 to 100 (e.g., 58.3)
    prediction_confidenceConfidence level of predictive modelsfloat0 to 100 (e.g., 88.7)

    Dataset Statistics Table:

    StatisticValue
    Total Rows2,063
    Total Columns14
    Cryptocurrencies10 major tokens
    Time RangeLast 30 days
    File FormatCSV
    Data QualityRealistic correlations between features

    This dataset is a powerful resource for machine learning projects, sentiment analysis, and crypto market research, providing a robust foundation for AI/ML model development and testing.

  5. T

    Turkey Stock Market Data

    • tradingeconomics.com
    • ar.tradingeconomics.com
    • +13more
    csv, excel, json, xml
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    TRADING ECONOMICS, Turkey Stock Market Data [Dataset]. https://tradingeconomics.com/turkey/stock-market
    Explore at:
    xml, json, excel, csvAvailable download formats
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 2, 1988 - Jul 14, 2025
    Area covered
    Turkey
    Description

    Turkey's main stock market index, the BIST 100, fell to 10255 points on July 14, 2025, losing 1.00% from the previous session. Over the past month, the index has climbed 9.68%, though it remains 7.94% lower than a year ago, according to trading on a contract for difference (CFD) that tracks this benchmark index from Turkey. Turkey Stock Market - values, historical data, forecasts and news - updated on July of 2025.

  6. د

    شاخص ترس و طمع بازار کریپتو

    • parsiancrypto.com
    json
    Updated Jul 15, 2025
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    The citation is currently not available for this dataset.
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Jul 15, 2025
    Dataset authored and provided by
    پارسیان کریپتو
    License

    https://parsiancrypto.com/privacy-policyhttps://parsiancrypto.com/privacy-policy

    Area covered
    Global
    Variables measured
    شاخص ترس و طمع
    Description

    شاخص لحظه‌ای ترس و طمع بازار ارزهای دیجیتال همراه با نمودار تغییرات روزانه و تحلیل روندهای بازار.

  7. F

    群衆指数(Crowd Index)

    • fierly.jp
    webp
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    FIerly, 群衆指数(Crowd Index) [Dataset]. https://fierly.jp/crowdindex
    Explore at:
    webpAvailable download formats
    Dataset authored and provided by
    FIerly
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    群衆指数は、米国株 約10,000銘柄の動向を日次で集計し、市場心理のトレンドを可視化する指標です。Fear and Greed Indexと異なり、実データに基づいた中立かつ長期的視点の投資判断が可能です。

  8. Not seeing a result you expected?
    Learn how you can add new datasets to our index.

Share
FacebookFacebook
TwitterTwitter
Email
Click to copy link
Link copied
Close
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Analyst-2 (analyst-2.ai) / Inspirient GmbH (inspirient.com) (2018). ‘Crypto Fear and Greed Index’ analyzed by Analyst-2 [Dataset]. https://analyst-2.ai/analysis/kaggle-crypto-fear-and-greed-index-e01d/latest

‘Crypto Fear and Greed Index’ analyzed by Analyst-2

Explore at:
Dataset updated
May 28, 2018
Dataset authored and provided by
Analyst-2 (analyst-2.ai) / Inspirient GmbH (inspirient.com)
License

Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically

Description

Analysis of ‘Crypto Fear and Greed Index’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://www.kaggle.com/adelsondias/crypto-fear-and-greed-index on 13 February 2022.

--- Dataset description provided by original source is as follows ---

Crypto Fear and Greed Index

Each day, the website https://alternative.me/crypto/fear-and-greed-index/ publishes this index based on analysis of emotions and sentiments from different sources crunched into one simple number: The Fear & Greed Index for Bitcoin and other large cryptocurrencies.

Why Measure Fear and Greed?

The crypto market behaviour is very emotional. People tend to get greedy when the market is rising which results in FOMO (Fear of missing out). Also, people often sell their coins in irrational reaction of seeing red numbers. With our Fear and Greed Index, we try to save you from your own emotional overreactions. There are two simple assumptions:

  • Extreme fear can be a sign that investors are too worried. That could be a buying opportunity.
  • When Investors are getting too greedy, that means the market is due for a correction.

Therefore, we analyze the current sentiment of the Bitcoin market and crunch the numbers into a simple meter from 0 to 100. Zero means "Extreme Fear", while 100 means "Extreme Greed". See below for further information on our data sources.

Data Sources

We are gathering data from the five following sources. Each data point is valued the same as the day before in order to visualize a meaningful progress in sentiment change of the crypto market.

First of all, the current index is for bitcoin only (we offer separate indices for large alt coins soon), because a big part of it is the volatility of the coin price.

But let’s list all the different factors we’re including in the current index:

Volatility (25 %)

We’re measuring the current volatility and max. drawdowns of bitcoin and compare it with the corresponding average values of the last 30 days and 90 days. We argue that an unusual rise in volatility is a sign of a fearful market.

Market Momentum/Volume (25%)

Also, we’re measuring the current volume and market momentum (again in comparison with the last 30/90 day average values) and put those two values together. Generally, when we see high buying volumes in a positive market on a daily basis, we conclude that the market acts overly greedy / too bullish.

Social Media (15%)

While our reddit sentiment analysis is still not in the live index (we’re still experimenting some market-related key words in the text processing algorithm), our twitter analysis is running. There, we gather and count posts on various hashtags for each coin (publicly, we show only those for Bitcoin) and check how fast and how many interactions they receive in certain time frames). A unusual high interaction rate results in a grown public interest in the coin and in our eyes, corresponds to a greedy market behaviour.

Surveys (15%) currently paused

Together with strawpoll.com (disclaimer: we own this site, too), quite a large public polling platform, we’re conducting weekly crypto polls and ask people how they see the market. Usually, we’re seeing 2,000 - 3,000 votes on each poll, so we do get a picture of the sentiment of a group of crypto investors. We don’t give those results too much attention, but it was quite useful in the beginning of our studies. You can see some recent results here.

Dominance (10%)

The dominance of a coin resembles the market cap share of the whole crypto market. Especially for Bitcoin, we think that a rise in Bitcoin dominance is caused by a fear of (and thus a reduction of) too speculative alt-coin investments, since Bitcoin is becoming more and more the safe haven of crypto. On the other side, when Bitcoin dominance shrinks, people are getting more greedy by investing in more risky alt-coins, dreaming of their chance in next big bull run. Anyhow, analyzing the dominance for a coin other than Bitcoin, you could argue the other way round, since more interest in an alt-coin may conclude a bullish/greedy behaviour for that specific coin.

Trends (10%)

We pull Google Trends data for various Bitcoin related search queries and crunch those numbers, especially the change of search volumes as well as recommended other currently popular searches. For example, if you check Google Trends for "Bitcoin", you can’t get much information from the search volume. But currently, you can see that there is currently a +1,550% rise of the query „bitcoin price manipulation“ in the box of related search queries (as of 05/29/2018). This is clearly a sign of fear in the market, and we use that for our index.

There's a story behind every dataset and here's your opportunity to share yours.

Copyright disclaimer

This dataset is produced and maintained by the administrators of https://alternative.me/crypto/fear-and-greed-index/.

This published version is an unofficial copy of their data, which can be also collected using their API (e.g., GET https://api.alternative.me/fng/?limit=10&format=csv&date_format=us).

--- Original source retains full ownership of the source dataset ---

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