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The main stock market index of United States, the US500, rose to 6074 points on June 24, 2025, gaining 0.80% from the previous session. Over the past month, the index has climbed 2.57% and is up 11.05% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks this benchmark index from United States. United States Stock Market Index - values, historical data, forecasts and news - updated on June of 2025.
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View data of the S&P 500, an index of the stocks of 500 leading companies in the US economy, which provides a gauge of the U.S. equity market.
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India's main stock market index, the SENSEX, rose to 82080 points on June 24, 2025, gaining 0.22% from the previous session. Over the past month, the index has declined 0.12%, though it remains 5.16% higher than a year ago, according to trading on a contract for difference (CFD) that tracks this benchmark index from India. BSE SENSEX Stock Market Index - values, historical data, forecasts and news - updated on June of 2025.
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France's main stock market index, the FR40, rose to 7628 points on June 24, 2025, gaining 1.20% from the previous session. Over the past month, the index has declined 2.55% and is down 0.45% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks this benchmark index from France. France Stock Market Index (FR40) - values, historical data, forecasts and news - updated on June of 2025.
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Graph and download economic data for Index of Common Stock Prices, New York Stock Exchange for United States (M11007USM322NNBR) from Jan 1902 to May 1923 about New York, stock market, indexes, and USA.
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China's main stock market index, the SHANGHAI, rose to 3382 points on June 23, 2025, gaining 0.65% from the previous session. Over the past month, the index has climbed 1.04% and is up 14.12% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks this benchmark index from China. China Shanghai Composite Stock Market Index - values, historical data, forecasts and news - updated on June of 2025.
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Euro Area's main stock market index, the EU50, rose to 5316 points on June 24, 2025, gaining 1.80% from the previous session. Over the past month, the index has declined 1.48%, though it remains 7.69% higher than a year ago, according to trading on a contract for difference (CFD) that tracks this benchmark index from Euro Area. Euro Area Stock Market Index (EU50) - values, historical data, forecasts and news - updated on June of 2025.
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New York Stock Exchange: Index: Dow Jones US Broad Stock Market Index data was reported at 13,117.170 NA in Apr 2025. This records a decrease from the previous number of 13,219.250 NA for Mar 2025. New York Stock Exchange: Index: Dow Jones US Broad Stock Market Index data is updated monthly, averaging 7,177.370 NA from Aug 2013 (Median) to Apr 2025, with 141 observations. The data reached an all-time high of 14,387.880 NA in Nov 2024 and a record low of 4,067.650 NA in Aug 2013. New York Stock Exchange: Index: Dow Jones US Broad Stock Market Index data remains active status in CEIC and is reported by Exchange Data International Limited. The data is categorized under Global Database’s United States – Table US.EDI.SE: New York Stock Exchange: Dow Jones: Monthly.
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New York Stock Exchange: Index: Dow Jones Composite Average data was reported at 13,127.020 NA in Mar 2025. This records a decrease from the previous number of 13,711.750 NA for Feb 2025. New York Stock Exchange: Index: Dow Jones Composite Average data is updated monthly, averaging 8,567.610 NA from Jul 2013 (Median) to Mar 2025, with 141 observations. The data reached an all-time high of 14,367.530 NA in Nov 2024 and a record low of 5,021.600 NA in Aug 2013. New York Stock Exchange: Index: Dow Jones Composite Average data remains active status in CEIC and is reported by Exchange Data International Limited. The data is categorized under Global Database’s United States – Table US.EDI.SE: New York Stock Exchange: Dow Jones: Monthly.
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New York Stock Exchange: Index: Dow Jones US Mid Cap Index data was reported at 1,823.120 NA in Apr 2025. This records an increase from the previous number of 1,820.520 NA for Mar 2025. New York Stock Exchange: Index: Dow Jones US Mid Cap Index data is updated monthly, averaging 1,821.820 NA from Mar 2024 (Median) to Apr 2025, with 14 observations. The data reached an all-time high of 1,987.270 NA in Nov 2024 and a record low of 1,678.780 NA in Apr 2024. New York Stock Exchange: Index: Dow Jones US Mid Cap Index data remains active status in CEIC and is reported by Exchange Data International Limited. The data is categorized under Global Database’s United States – Table US.EDI.SE: New York Stock Exchange: Dow Jones: Monthly.
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Israel's main stock market index, the TA-125, rose to 2917 points on June 24, 2025, gaining 1.26% from the previous session. Over the past month, the index has climbed 10.67% and is up 50.28% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks this benchmark index from Israel. Israel Stock Market (TA-125) - values, historical data, forecasts and news - updated on June of 2025.
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This dataset contains the essential files for conducting a dynamic stock market analysis using Power BI. The data is sourced from Yahoo Finance and includes historical stock prices, which can be dynamically updated by adding new stock codes to the provided Excel sheet.
Files Included: Power BI Report (.pbix): The interactive Power BI report that includes various visualizations such as Candle Charts, Line Charts for Support and Resistance, and Technical Indicators like SMA, EMA, Bollinger Bands, and RSI. The report is designed to provide a comprehensive analysis of stock performance over time.
Stock Data Excel Sheet (.xlsx): This Excel sheet is connected to the Power BI report and allows for dynamic data loading. By adding new stock codes to this sheet, the Power BI report automatically refreshes to include the new data, enabling continuous updates without manual intervention.
Overview and Chart Pages Snapshots for better understanding about the Report.
Key Features: Dynamic Data Loading: Easily update the dataset by adding new stock codes to the Excel sheet. The Power BI report will automatically pull the corresponding data from Yahoo Finance. Comprehensive Visualizations: Analyze stock trends using Candle Charts, identify key price levels with Support and Resistance lines, and explore market behavior through various technical indicators. Interactive Analysis: The Power BI report includes slicers and navigation buttons to switch between different time periods and visualizations, providing a tailored analysis experience. Use Cases: Ideal for financial analysts, traders, or anyone interested in conducting a detailed stock market analysis. Can be used to monitor the performance of individual stocks or compare trends across multiple stocks over time. Tags: Stock Market Power BI Financial Analysis Yahoo Finance Data Visualization
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The latest closing stock price for Exxon as of June 02, 2025 is 103.05. An investor who bought $1,000 worth of Exxon stock at the IPO in 1984 would have $40,929 today, roughly 41 times their original investment - a 9.54% compound annual growth rate over 41 years. The all-time high Exxon stock closing price was 122.12 on October 07, 2024. The Exxon 52-week high stock price is 126.34, which is 22.6% above the current share price. The Exxon 52-week low stock price is 97.80, which is 5.1% below the current share price. The average Exxon stock price for the last 52 weeks is 112.83. For more information on how our historical price data is adjusted see the Stock Price Adjustment Guide.
The value of global domestic equity market increased from 65.04 trillion U.S. dollars in 2013 to 124.63 trillion U.S. dollars in 2023. The United States was by far the leading country with the largest share of total world stocks as of 2024. Global market capitalization in different regions The market capitalization of domestic companies listed varied across different regions of the world. As of Decmber 2024, the Americas region had the largest domestic equity market, totaling 62 trillion U.S. dollars. This region is home to the NYSE and Nasdaq, which are the two largest stock exchange operators in the world. The market capitalization of these two exchanges alone exceeded 60 billion U.S. dollars as of January 2025, larger than the total market capitalization in the Asia-Pacific, and in the EMEA regions in the same period. Largest Stock Exchanges in Latin America As of December 2024, the B3 (Brasil Bolsa Balcao) was the biggest stock exchange in Latin America in terms of market capitalization and the second-largest in terms of number of listed companies. Following the B3 were the Mexican Stock Exchange and the Santiago Stock Exchange in Chile. The most valuable company in Latin America is listed on the Mexican Stock Exchange: Fomento Económico Mexicano, a multinational beverage and retail company headquartered in Monterrey, had market cap of 177 billion U.S. dollars as of March 2025.
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New York Stock Exchange: Index: Dow Jones US Chemicals Index data was reported at 800.920 NA in Apr 2025. This records a decrease from the previous number of 839.540 NA for Mar 2025. New York Stock Exchange: Index: Dow Jones US Chemicals Index data is updated monthly, averaging 883.145 NA from Mar 2024 (Median) to Apr 2025, with 14 observations. The data reached an all-time high of 938.600 NA in Sep 2024 and a record low of 800.920 NA in Apr 2025. New York Stock Exchange: Index: Dow Jones US Chemicals Index data remains active status in CEIC and is reported by Exchange Data International Limited. The data is categorized under Global Database’s United States – Table US.EDI.SE: New York Stock Exchange: Dow Jones: Monthly.
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The global card stock market size was valued at approximately USD 2.8 billion in 2023 and is projected to grow to USD 4.2 billion by 2032, at a compound annual growth rate (CAGR) of 4.6% during the forecast period. This robust growth is driven by increasing demand in the packaging and printing industries, along with a burgeoning interest in crafting and DIY activities globally.
One of the primary growth factors fueling the card stock market is the rising demand for sustainable and eco-friendly packaging solutions. As consumers and businesses alike become more environmentally conscious, the demand for recyclable and biodegradable card stock has surged. This trend is particularly evident in the packaging sector, where companies are increasingly opting for card stock over plastic to meet consumer preferences and regulatory requirements aimed at reducing plastic waste.
The growth of the e-commerce industry is another significant driver for the card stock market. With the rapid expansion of online retailing, the need for secure and appealing packaging solutions has increased. Card stock is often used in packaging for its durability and printability, which helps in creating visually attractive and sturdy packaging. Moreover, the rise in personalized and custom packaging trends among e-commerce platforms has further amplified the demand for high-quality card stock.
Additionally, the increasing popularity of crafting and DIY activities has spurred the demand for various types of card stock. With more people engaging in hobbies such as scrapbooking, card-making, and other creative projects, the market for card stock has expanded significantly. This trend is further bolstered by the proliferation of social media platforms, where users share their crafting ideas and projects, thereby inspiring others and driving demand for crafting materials, including card stock.
From a regional perspective, North America and Europe hold significant shares in the card stock market, driven by high levels of consumer awareness and stringent environmental regulations. Asia Pacific, however, is expected to witness the fastest growth during the forecast period due to increasing industrialization, rising disposable income, and the growing e-commerce sector. Latin America and the Middle East & Africa are also anticipated to exhibit moderate growth, supported by expanding packaging and printing industries in these regions.
The card stock market can be segmented by product type into coated card stock, uncoated card stock, textured card stock, recycled card stock, and others. Coated card stock holds a significant share due to its smooth surface and excellent printability, which makes it ideal for high-quality printing applications. It is widely used in business cards, brochures, and luxury packaging, where visual appeal is paramount. The coating enhances the card's durability and resistance to moisture, making it suitable for various commercial uses.
Uncoated card stock, on the other hand, is preferred for applications that require a more natural and tactile feel. It is often used in stationery, greeting cards, and certain types of packaging where a rustic or minimalist aesthetic is desired. The lack of coating allows for better ink absorption, which can be advantageous for certain printing techniques and crafting projects.
Textured card stock offers a unique advantage with its distinct surface patterns, adding a tactile dimension to printed materials. This type of card stock is popular in high-end invitations, business cards, and special event stationery. The textured surface can range from subtle linen-like patterns to more pronounced embossing, catering to diverse design needs.
Recycled card stock is gaining traction due to the growing emphasis on sustainability. Made from post-consumer waste, this type of card stock appeals to eco-conscious consumers and businesses. It is used in a variety of applications, including packaging, printing, and crafting, and offers a viable alternative to traditional paper products with a lower environmental footprint.
Other types of card stock include specialty variants tailored for specific applications, such as metallic finishes, which are used for luxury packaging and special occasions. These niche products, while not as widely used as the more common types, play an important role in meeting the diverse needs of the market and offering unique solutions for specific projects.
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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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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
https://www.kappasignal.com/p/legal-disclaimer.htmlhttps://www.kappasignal.com/p/legal-disclaimer.html
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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The Report Covers Rolling Stock Manufacturers and is Segmented by Type (Locomotives, Metros, Passenger Coaches, Other Types), by Propulsion Type (Diesel, Electric, Electro-diesel), and by Geography (North America, Europe, Asia-Pacific, and Rest of the World). The report offers market size and forecasts for rolling stock market in value (USD Billion) for above all segments
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The main stock market index of United States, the US500, rose to 6074 points on June 24, 2025, gaining 0.80% from the previous session. Over the past month, the index has climbed 2.57% and is up 11.05% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks this benchmark index from United States. United States Stock Market Index - values, historical data, forecasts and news - updated on June of 2025.