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France - GDP, current prices was EUR739563.10 Million in March of 2025, according to the EUROSTAT. Trading Economics provides the current actual value, an historical data chart and related indicators for France - GDP, current prices - last updated from the EUROSTAT on June of 2025. Historically, France - GDP, current prices reached a record high of EUR739563.10 Million in March of 2025 and a record low of EUR528565.60 Million in June of 2020.
The gross domestic product (GDP) in current prices in Haiti was about 26.23 billion U.S. dollars in 2024. Between 1980 and 2024, the GDP rose by approximately 23.57 billion U.S. dollars, though the increase followed an uneven trajectory rather than a consistent upward trend. The GDP will steadily rise by around 14.61 billion U.S. dollars over the period from 2024 to 2030, reflecting a clear upward trend.This indicator describes the gross domestic product at current prices. The values are based upon the GDP in national currency converted to U.S. dollars using market exchange rates (yearly average). The GDP represents the total value of final goods and services produced during a year.
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Brazil Energy: Average Current Prices: Source: Coal: Vapor data was reported at 31.257 USD/BOE in 2023. This records a decrease from the previous number of 31.791 USD/BOE for 2022. Brazil Energy: Average Current Prices: Source: Coal: Vapor data is updated yearly, averaging 11.431 USD/BOE from Dec 1973 (Median) to 2023, with 51 observations. The data reached an all-time high of 39.977 USD/BOE in 2011 and a record low of 2.346 USD/BOE in 1973. Brazil Energy: Average Current Prices: Source: Coal: Vapor data remains active status in CEIC and is reported by Ministry of Mining and Energy. The data is categorized under Global Database’s Brazil – Table BR.PE001: Average Current and Constant Price. In order to keep the series, is adopted boe based on higher heating value of the source.
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GDP: linked series (current LCU) in Argentina was reported at 579245803234900 LCU in 2024, according to the World Bank collection of development indicators, compiled from officially recognized sources. Argentina - GDP at market prices: linked series (current LCU) - actual values, historical data, forecasts and projections were sourced from the World Bank on July of 2025.
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This analysis presents a rigorous exploration of financial data, incorporating a diverse range of statistical features. By providing a robust foundation, it facilitates advanced research and innovative modeling techniques within the field of finance.
Historical daily stock prices (open, high, low, close, volume)
Fundamental data (e.g., market capitalization, price to earnings P/E ratio, dividend yield, earnings per share EPS, price to earnings growth, debt-to-equity ratio, price-to-book ratio, current ratio, free cash flow, projected earnings growth, return on equity, dividend payout ratio, price to sales ratio, credit rating)
Technical indicators (e.g., moving averages, RSI, MACD, average directional index, aroon oscillator, stochastic oscillator, on-balance volume, accumulation/distribution A/D line, parabolic SAR indicator, bollinger bands indicators, fibonacci, williams percent range, commodity channel index)
Feature engineering based on financial data and technical indicators
Sentiment analysis data from social media and news articles
Macroeconomic data (e.g., GDP, unemployment rate, interest rates, consumer spending, building permits, consumer confidence, inflation, producer price index, money supply, home sales, retail sales, bond yields)
Stock price prediction
Portfolio optimization
Algorithmic trading
Market sentiment analysis
Risk management
Researchers investigating the effectiveness of machine learning in stock market prediction
Analysts developing quantitative trading Buy/Sell strategies
Individuals interested in building their own stock market prediction models
Students learning about machine learning and financial applications
The dataset may include different levels of granularity (e.g., daily, hourly)
Data cleaning and preprocessing are essential before model training
Regular updates are recommended to maintain the accuracy and relevance of the data
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Discover the key factors affecting aluminum prices on the London Metal Exchange, from global economic conditions to supply and demand dynamics. Learn how market trends, environmental regulations, and strategic planning play a role in price fluctuations and risk management for businesses reliant on this essential commodity.
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The price of US oil per barrel today is influenced by global supply and demand, geopolitical events, economic indicators, and market speculation. Learn about the factors that impact oil prices and their effects on the global economy.
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Explore how factors like global supply and demand, mining costs, economic indicators, currency fluctuations, and geopolitical events influence zinc ingot prices. Stay informed to navigate this volatile market effectively.
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Today's oil prices on the stock market have been quite volatile. Factors such as supply and demand dynamics, geopolitical events, economic indicators, and market speculation influence the price of oil. This article explores the impact of the ongoing conflict in the Middle East, global demand trends, supply levels, and market speculation on oil prices. It also highlights the potential for rapid changes in oil prices due to various geopolitical, economic, and market factors.
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The latest closing stock price for Professional Diversity Network as of July 07, 2025 is 2.10. An investor who bought $1,000 worth of Professional Diversity Network stock at the IPO in 2013 would have $-998 today, roughly -1 times their original investment - a -41.19% compound annual growth rate over 12 years. The all-time high Professional Diversity Network stock closing price was 1227.20 on March 05, 2013. The Professional Diversity Network 52-week high stock price is 11.20, which is 433.3% above the current share price. The Professional Diversity Network 52-week low stock price is 0.97, which is 53.8% below the current share price. The average Professional Diversity Network stock price for the last 52 weeks is 4.27. For more information on how our historical price data is adjusted see the Stock Price Adjustment Guide.
In 2023, the value of wholesale at current prices in Poland amounted to 1,998.6 billion zloty, a decrease over the previous year.
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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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Graph and download economic data for Current Prices Received for Finished Goods; Percentage Reporting Decreases for Texas (PFGDUAMFRBDAL) from Jun 2004 to Jun 2025 about finished, percent, goods, TX, price, and USA.
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The latest closing stock price for Martin Midstream Partners as of June 13, 2025 is 3.20. An investor who bought $1,000 worth of Martin Midstream Partners stock at the IPO in 2002 would have $44 today, roughly 0 times their original investment - a 0.19% compound annual growth rate over 23 years. The all-time high Martin Midstream Partners stock closing price was 20.73 on October 23, 2013. The Martin Midstream Partners 52-week high stock price is 4.13, which is 29.1% above the current share price. The Martin Midstream Partners 52-week low stock price is 2.56, which is 20% below the current share price. The average Martin Midstream Partners stock price for the last 52 weeks is 3.55. For more information on how our historical price data is adjusted see the Stock Price Adjustment Guide.
The gross domestic product (GDP) at current prices of El Salvador was estimated at about 35.34 billion Salvadoran colones in 2024. Between 1980 and 2024, the GDP rose by approximately 31.43 billion Salvadoran colones, though the increase followed an uneven trajectory rather than a consistent upward trend. The GDP will steadily rise by around 11.10 billion Salvadoran colones over the period from 2024 to 2030, reflecting a clear upward trend.
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This dataset shows the Gross Domestic Product by kind of economic activity at current prices, 1987- 2021, Malaysia Footnote value for year 2020 are estimate value for year 2021 are preliminary Source: DEPARTMENT OF STATISTICS MALAYSIA No. of Views : 84
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This dataset provides estimates of GDP by economic activity for Q2 2024 at current prices (in million QAR). It includes comparisons with Q1 2024 and Q2 2023, showing both quarterly and annual percentage changes.
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GDP: linked series (current LCU) in San Marino was reported at 1739426829 LCU in 2022, according to the World Bank collection of development indicators, compiled from officially recognized sources. San Marino - GDP at market prices: linked series (current LCU) - actual values, historical data, forecasts and projections were sourced from the World Bank on July of 2025.
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TSSOS Current Input Prices; Diffusion for Texas was 20.50000 Index in May of 2025, according to the United States Federal Reserve. Historically, TSSOS Current Input Prices; Diffusion for Texas reached a record high of 59.40000 in March of 2022 and a record low of -1.70000 in April of 2009. Trading Economics provides the current actual value, an historical data chart and related indicators for TSSOS Current Input Prices; Diffusion for Texas - last updated from the United States Federal Reserve on July of 2025.
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France - GDP, current prices was EUR739563.10 Million in March of 2025, according to the EUROSTAT. Trading Economics provides the current actual value, an historical data chart and related indicators for France - GDP, current prices - last updated from the EUROSTAT on June of 2025. Historically, France - GDP, current prices reached a record high of EUR739563.10 Million in March of 2025 and a record low of EUR528565.60 Million in June of 2020.