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Migration Fear Index for the United States
- fred.stlouisfed.org
jsonUpdated May 2, 2025
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EmailClick to copy linkLink copiedCite(2025). Migration Fear Index for the United States [Dataset]. https://fred.stlouisfed.org/series/USEPUFEARINDXjsonAvailable download formatsDataset updatedMay 2, 2025Licensehttps://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain
Area coveredUnited StatesDescriptionGraph 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.
Cryptocurrency Market Sentiment & Price Data 2025
- kaggle.com
Updated Jul 4, 2025ShareFacebookTwitterEmailClick to copy linkLink copiedCitePratyush Puri (2025). Cryptocurrency Market Sentiment & Price Data 2025 [Dataset]. https://www.kaggle.com/datasets/pratyushpuri/crypto-market-sentiment-and-price-dataset-2025CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.Dataset updatedJul 4, 2025Dataset provided byKaggleAuthorsPratyush PuriLicensehttps://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/
DescriptionDescription
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 Name Description Data Type Range/Value Example timestamp Date and time of data record datetime Last 30 days (e.g., 2025-06-04 20:36:49) cryptocurrency Name of the cryptocurrency string 10 major cryptos (e.g., Bitcoin) current_price_usd Current trading price in USD float Market-realistic (e.g., 47418.4096) price_change_24h_percent 24-hour price change percentage float -25% to +27% (e.g., 1.05) trading_volume_24h 24-hour trading volume float Variable (e.g., 1800434.38) market_cap_usd Market capitalization in USD float Calculated (e.g., 343755257516049.1) social_sentiment_score Sentiment score from social media float -1 to 1 (e.g., -0.728) news_sentiment_score Sentiment score from news sources float -1 to 1 (e.g., -0.274) news_impact_score Quantified impact of news on market float 0 to 10 (e.g., 2.73) social_mentions_count Number of mentions on social media integer Variable (e.g., 707) fear_greed_index Market fear and greed index float 0 to 100 (e.g., 35.3) volatility_index Price volatility index float 0 to 100 (e.g., 36.0) rsi_technical_indicator Relative Strength Index float 0 to 100 (e.g., 58.3) prediction_confidence Confidence level of predictive models float 0 to 100 (e.g., 88.7) Dataset Statistics Table:
Statistic Value Total Rows 2,063 Total Columns 14 Cryptocurrencies 10 major tokens Time Range Last 30 days File Format CSV Data Quality Realistic 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.
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Turkey Stock Market Data
- tradingeconomics.com
- ar.tradingeconomics.com
- +13more
csv, excel, json, xmlShareFacebookTwitterEmailClick to copy linkLink copiedCiteTRADING ECONOMICS, Turkey Stock Market Data [Dataset]. https://tradingeconomics.com/turkey/stock-marketxml, json, excel, csvAvailable download formatsDataset authored and provided byTRADING ECONOMICSLicenseAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automaticallyTime period coveredJan 2, 1988 - Jul 11, 2025Area coveredTurkeyDescriptionTurkey's main stock market index, the BIST 100, rose to 10362 points on July 11, 2025, gaining 0.30% from the previous session. Over the past month, the index has climbed 8.84%, though it remains 6.35% 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.
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FacebookTwitterEmailhttps://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain
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.