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Use our Stock prices dataset to access comprehensive financial and corporate data, including company profiles, stock prices, market capitalization, revenue, and key performance metrics. This dataset is tailored for financial analysts, investors, and researchers to analyze market trends and evaluate company performance.
Popular use cases include investment research, competitor benchmarking, and trend forecasting. Leverage this dataset to make informed financial decisions, identify growth opportunities, and gain a deeper understanding of the business landscape. The dataset includes all major data points: company name, company ID, summary, stock ticker, earnings date, closing price, previous close, opening price, and much more.
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Coffee fell to 288.72 USd/Lbs on July 11, 2025, down 0.41% from the previous day. Over the past month, Coffee's price has fallen 16.63%, but it is still 15.90% higher than a year ago, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. Coffee - values, historical data, forecasts and news - updated on July of 2025.
Fixed full version - https://www.kaggle.com/jacksoncrow/stock-market-dataset
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Gasoline rose to 2.19 USD/Gal on July 11, 2025, up 1.65% from the previous day. Over the past month, Gasoline's price has risen 1.03%, but it is still 12.72% lower than a year ago, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. Gasoline - values, historical data, forecasts and news - updated on July of 2025.
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Brazil Market Expectation: Regulated Prices: Next Calendar Year: Standard Deviation data was reported at 0.430 % in Jun 2019. This records a decrease from the previous number of 0.510 % for May 2019. Brazil Market Expectation: Regulated Prices: Next Calendar Year: Standard Deviation data is updated monthly, averaging 0.615 % from May 2003 (Median) to Jun 2019, with 194 observations. The data reached an all-time high of 1.430 % in Nov 2003 and a record low of 0.250 % in Jan 2018. Brazil Market Expectation: Regulated Prices: Next Calendar Year: Standard Deviation data remains active status in CEIC and is reported by Central Bank of Brazil. The data is categorized under Brazil Premium Database’s Business and Economic Survey – Table BR.SB037: Market Expectation: Regulated Prices. Market Expectations System was implemented in November 2001, previous projections were collected from incipient through telephone contacts, transcribed into spreadsheets and consolidated manually. Some empty time points occurred because the Market didn´t have the expectation for those days. Prices administered by contract and monitored Prices administered by contract and monitored are those whose sensitivity to factors of supply and demand is lower, which does not necessarily imply that they are directly regulated by the government.
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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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Expenditure on Gross and Net National Income at Constant Market Prices Data Resources (4) CSV Expenditure on Gross and Net National Income at Constant... Details Download JSON-STAT Expenditure on Gross and Net National Income at Constant... Preview Download PX Expenditure on Gross and Net National Income at Constant... Details Download XLSX Expenditure on Gross and Net National Income at Constant...
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China Market Price: Power Coal: 5500-6000 Calorie: Price at Railway Station data was reported at 572.000 RMB/Ton in Feb 2019. This records a decrease from the previous number of 577.000 RMB/Ton for Jan 2019. China Market Price: Power Coal: 5500-6000 Calorie: Price at Railway Station data is updated monthly, averaging 573.000 RMB/Ton from Apr 2014 (Median) to Feb 2019, with 59 observations. The data reached an all-time high of 690.000 RMB/Ton in Dec 2018 and a record low of 437.000 RMB/Ton in Dec 2015. China Market Price: Power Coal: 5500-6000 Calorie: Price at Railway Station data remains active status in CEIC and is reported by Price Monitoring Center, NDRC. The data is categorized under China Premium Database’s Price – Table CN.PA: Price Monitoring Center, NDRC: Market and Contract Price: Coal.
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View LSEG's ICE Data Pricing and Reference Data, and find real-time market data, time-sensitive pricing, and reference data for securities trading.
TagX is your trusted partner for stock market and financial data solutions. We specialize in delivering real-time and end-of-day data feeds that power software, trading algorithms, and risk management systems globally. Whether you're a financial institution, hedge fund, or individual investor, our reliable datasets provide essential insights into market trends, historical pricing, and key financial metrics.
TagX is committed to precision and reliability in stock market data. Our comprehensive datasets include critical information such as date, open/close/high/low prices, trading volume, EPS, P/E ratio, dividend yield, and more. Tailor your dataset to match your specific requirements, choosing from a wide range of parameters and coverage options across primary listings on NASDAQ, AMEX, NYSE, and ARCA exchanges.
Key Features of TagX Stock Market Data:
Custom Dataset Requests: Customize your data feed to focus on specific metrics and parameters crucial to your trading strategy.
Extensive Coverage: Access data from reputable exchanges and market participants, ensuring accuracy and completeness in your analyses.
Flexible Pricing Models: Choose pricing structures based on your selected parameters, offering cost-effective solutions tailored to your needs.
Why Choose TagX? Partner with TagX for precise, dependable, and customizable stock market data solutions. Whether you require real-time updates or end-of-day valuations, our datasets are designed to support informed decision-making and enhance your competitive edge in the financial markets. Trust TagX to deliver the data integrity and accuracy essential for maximizing your trading potential.
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BondCliQ is a central market system for the OTC corporate bond market that establishes price integrity and facilitates market modernization.
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HRC Steel fell to 876.95 USD/T on July 11, 2025, down 0.57% from the previous day. Over the past month, HRC Steel's price has risen 1.73%, and is up 31.87% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. This dataset includes a chart with historical data for HRC Steel.
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In Korea, the price of acetaldehyde for Q1 2024 reached 9850 USD/Ton in March, maintaining stability compared to the regional trends observed in the broader Asia Pacific area.
Product
| Category | Region | Price |
---|---|---|---|
Acetaldehyde | Petrochemicals | Korea | 9850 USD/Ton |
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Brazil Market Expectation: Regulated Prices: 2 Years Ahead: Standard Deviation data was reported at 0.270 % in Jun 2019. This records a decrease from the previous number of 0.340 % for May 2019. Brazil Market Expectation: Regulated Prices: 2 Years Ahead: Standard Deviation data is updated monthly, averaging 0.390 % from May 2003 (Median) to Jun 2019, with 194 observations. The data reached an all-time high of 1.670 % in Jan 2004 and a record low of 0.000 % in Feb 2012. Brazil Market Expectation: Regulated Prices: 2 Years Ahead: Standard Deviation data remains active status in CEIC and is reported by Central Bank of Brazil. The data is categorized under Brazil Premium Database’s Business and Economic Survey – Table BR.SB037: Market Expectation: Regulated Prices. Market Expectations System was implemented in November 2001, previous projections were collected from incipient through telephone contacts, transcribed into spreadsheets and consolidated manually. Some empty time points occurred because the Market didn´t have the expectation for those days. Prices administered by contract and monitored Prices administered by contract and monitored are those whose sensitivity to factors of supply and demand is lower, which does not necessarily imply that they are directly regulated by the government.
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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.
The price per unit in the 'Spices & Culinary Herbs' segment of the food market in the United States was forecast to continuously increase between 2025 and 2030 by in total 2.7 U.S. dollars (+13.33 percent). After the tenth consecutive increasing year, the price per unit is estimated to reach 22.94 U.S. dollars and therefore a new peak in 2030. Notably, the price per unit of the 'Spices & Culinary Herbs' segment of the food market was continuously increasing over the past years.Find other key market indicators concerning the revenue and volume. The Statista Market Insights cover a broad range of additional markets.
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American lumber prices have decreased threefold, closing in on pre-COVID levels, which should drive global prices down. The change in lumber prices is largely influenced by slumping demand for real estate which became more expensive from diminished access. In Russia, the world’s largest supplier, a sharp increase in lumber exports led to a shortage in the domestic market. Attempting to hold the price growth instigated by that, the Russian government implemented 10% export duties on lumber until the end of 2021. Due to this, the main importers of Russian goods may opt for other suppliers.
In 2024, the average price-to-book (P/B) ratio of stocks on the Prime Market of the Tokyo Stock Exchange (TSE) in Japan was ***. The average P/B ratio of stocks on the Standard Market was ***.
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The price of cresol in USA for Q3 2023 reached 3090 USD/MT in September.
Product
| Category | Region | Price |
---|---|---|---|
Cresol | Chemical | USA | 3090 USD/MT |
Cresol | Chemical | Belgium | 3409 USD/MT |
Explore IMARC’s newly published report, titled “Cresol Pricing Report 2024: Price Trend, Chart, Market Analysis, News, Demand, Historical and Forecast Data,” offers an in-depth analysis of cresol pricing, covering an analysis of global and regional market trends and the critical factors driving these price movements.
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Browse LSEG's Money Market (MM) Pricing Data, and benefit from our comprehensive coverage real-time and historical pricing and indices data.
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Use our Stock prices dataset to access comprehensive financial and corporate data, including company profiles, stock prices, market capitalization, revenue, and key performance metrics. This dataset is tailored for financial analysts, investors, and researchers to analyze market trends and evaluate company performance.
Popular use cases include investment research, competitor benchmarking, and trend forecasting. Leverage this dataset to make informed financial decisions, identify growth opportunities, and gain a deeper understanding of the business landscape. The dataset includes all major data points: company name, company ID, summary, stock ticker, earnings date, closing price, previous close, opening price, and much more.