69 datasets found
  1. T

    United Kingdom Stock Market Index (GB100) Data

    • tradingeconomics.com
    • ko.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated May 11, 2021
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    TRADING ECONOMICS (2021). United Kingdom Stock Market Index (GB100) Data [Dataset]. https://tradingeconomics.com/united-kingdom/stock-market
    Explore at:
    excel, xml, json, csvAvailable download formats
    Dataset updated
    May 11, 2021
    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 3, 1984 - Jun 6, 2025
    Area covered
    United Kingdom
    Description

    United Kingdom's main stock market index, the GB100, rose to 8838 points on June 6, 2025, gaining 0.30% from the previous session. Over the past month, the index has climbed 3.25% and is up 7.19% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks this benchmark index from United Kingdom. United Kingdom Stock Market Index (GB100) - values, historical data, forecasts and news - updated on June of 2025.

  2. Monthly development S&P 500 Index 2018-2024

    • statista.com
    Updated Feb 28, 2025
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    Statista (2025). Monthly development S&P 500 Index 2018-2024 [Dataset]. https://www.statista.com/statistics/697624/monthly-sandp-500-index-performance/
    Explore at:
    Dataset updated
    Feb 28, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jan 2018 - Dec 2024
    Area covered
    United States
    Description

    The S&P 500, an index of 500 publicly traded companies in the United States, closed at 5,881.63 points on the last trading day of December 2024. What is the S&P 500? The S&P 500 is a stock market index that tracks the evolution of 500 companies. In contrast to the Dow Jones Industrial Index, which measures the performance of thirty large U.S. companies, the S&P 500 shows the sentiments in the broader market. Publicly traded companies Companies on the S&P 500 are publicly traded, meaning that anyone can invest in them. A large share of adults in the United States invest in the stock market, though many of these are through a retirement account or mutual fund. While most people make a modest return, the most successful investors have made billions of U.S. dollars through investing.

  3. Countries with largest stock markets globally 2024

    • statista.com
    Updated Mar 10, 2025
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    Statista (2025). Countries with largest stock markets globally 2024 [Dataset]. https://www.statista.com/statistics/710680/global-stock-markets-by-country/
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    Dataset updated
    Mar 10, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2023
    Area covered
    Worldwide
    Description

    In 2024, stock markets in the United States accounted for roughly 60 percent of world stocks. The next largest country by stock market share was Japan, followed by the United Kingdom. The New York Stock Exchange (NYSE) and the NASDAQ are the largest stock exchange operators worldwide. What is a stock exchange? The first modern publicly traded company was the Dutch East Industry Company, which sold shares to the general public to fund expeditions to Asia. Since then, groups of companies have formed exchanges in which brokers and dealers can come together and make transactions in one space. Stock market indices group companies trading on a given exchange, giving an idea of how they evolve in real time. Appeal of stock ownership Over half of adults in the United States are investing money in the stock market. Stocks are an attractive investment because the possible return is higher than offered by other financial instruments.

  4. T

    Russia Stock Market Index MOEX CFD Data

    • tradingeconomics.com
    • ko.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Apr 15, 2025
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    TRADING ECONOMICS (2025). Russia Stock Market Index MOEX CFD Data [Dataset]. https://tradingeconomics.com/russia/stock-market
    Explore at:
    json, csv, excel, xmlAvailable download formats
    Dataset updated
    Apr 15, 2025
    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
    Sep 22, 1997 - Jun 6, 2025
    Area covered
    Russia
    Description

    Russia's main stock market index, the MOEX, fell to 2788 points on June 6, 2025, losing 2.39% from the previous session. Over the past month, the index has declined 1.58% and is down 13.76% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks this benchmark index from Russia. Russia Stock Market Index MOEX CFD - values, historical data, forecasts and news - updated on June of 2025.

  5. Stock Market Dataset (NIFTY-500)

    • kaggle.com
    Updated Jun 10, 2023
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    Sourav Banerjee (2023). Stock Market Dataset (NIFTY-500) [Dataset]. https://www.kaggle.com/datasets/iamsouravbanerjee/nifty500-stocks-dataset
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Jun 10, 2023
    Dataset provided by
    Kaggle
    Authors
    Sourav Banerjee
    Description

    Context

    NIFTY 500 is India’s first broad-based stock market index of the Indian stock market. It contains the top 500 listed companies on the NSE. The NIFTY 500 index represents about 96.1% of free-float market capitalization and 96.5% of the total turnover on the National Stock Exchange (NSE).

    NIFTY 500 companies are disaggregated into 72 industry indices. Industry weights in the index reflect industry weights in the market. For example, if the banking sector has a 5% weight in the universe of stocks traded on the NSE, banking stocks in the index would also have an approximate representation of 5% in the index. NIFTY 500 can be used for a variety of purposes such as benchmarking fund portfolios, launching index funds, ETFs, and other structured products.

    • Other Notable Indices -
      • NIFTY 50: Top 50 listed companies on the NSE. A diversified 50-stock index accounting for 13 sectors of the Indian economy.
      • NIFTY Next 50: Also called NIFTY Juniors. Represents 50 companies from NIFTY 100 after excluding the NIFTY 50 companies.
      • NIFTY 100: Diversified 100 stock index representing major sectors of the economy. NIFTY 100 represents the top 100 companies based on full market capitalization from NIFTY 500.
      • NIFTY 200: Designed to reflect the behavior and performance of large and mid-market capitalization companies.

    Content

    The dataset comprises various parameters and features for each of the NIFTY 500 Stocks, including Company Name, Symbol, Industry, Series, Open, High, Low, Previous Close, Last Traded Price, Change, Percentage Change, Share Volume, Value in Indian Rupee, 52 Week High, 52 Week Low, 365 Day Percentage Change, and 30 Day Percentage Change.

    Dataset Glossary (Column-Wise)

    Company Name: Name of the Company.

    Symbol: A stock symbol is a unique series of letters assigned to a security for trading purposes.

    Industry: Name of the industry to which the stock belongs.

    Series: EQ stands for Equity. In this series intraday trading is possible in addition to delivery and BE stands for Book Entry. Shares falling in the Trade-to-Trade or T-segment are traded in this series and no intraday is allowed. This means trades can only be settled by accepting or giving the delivery of shares.

    Open: It is the price at which the financial security opens in the market when trading begins. It may or may not be different from the previous day's closing price. The security may open at a higher price than the closing price due to excess demand for the security.

    High: It is the highest price at which a stock is traded during the course of the trading day and is typically higher than the closing or equal to the opening price.

    Low: Today's low is a security's intraday low trading price. Today's low is the lowest price at which a stock trades over the course of a trading day.

    Previous Close: The previous close almost always refers to the prior day's final price of a security when the market officially closes for the day. It can apply to a stock, bond, commodity, futures or option co-contract, market index, or any other security.

    Last Traded Price: The last traded price (LTP) usually differs from the closing price of the day. This is because the closing price of the day on NSE is the weighted average price of the last 30 mins of trading. The last traded price of the day is the actual last traded price.

    Change: For a stock or bond quote, change is the difference between the current price and the last trade of the previous day. For interest rates, change is benchmarked against a major market rate (e.g., LIBOR) and may only be updated as infrequently as once a quarter.

    Percentage Change: Take the selling price and subtract the initial purchase price. The result is the gain or loss. Take the gain or loss from the investment and divide it by the original amount or purchase price of the investment. Finally, multiply the result by 100 to arrive at the percentage change in the investment.

    Share Volume: Volume is an indicator that means the total number of shares that have been bought or sold in a specific period of time or during the trading day. It will also involve the buying and selling of every share during a specific time period.

    Value (Indian Rupee): Market value—also known as market cap—is calculated by multiplying a company's outstanding shares by its current market price.

    52-Week High: A 52-week high is the highest share price that a stock has traded at during a passing year. Many market aficionados view the 52-week high as an important factor in determining a stock's current value and predicting future price movement. 52-week High prices are adjusted for Bonus, Split & Rights Corporate actions.

    52-Week Low: A 52-week low is the lowest ...

  6. T

    Kenya Stock Market (NSE20) Data

    • tradingeconomics.com
    • fa.tradingeconomics.com
    • +14more
    csv, excel, json, xml
    Updated Dec 10, 2015
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    TRADING ECONOMICS (2015). Kenya Stock Market (NSE20) Data [Dataset]. https://tradingeconomics.com/kenya/stock-market
    Explore at:
    excel, xml, csv, jsonAvailable download formats
    Dataset updated
    Dec 10, 2015
    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
    Nov 25, 1997 - Jun 5, 2025
    Area covered
    Kenya
    Description

    Kenya's main stock market index, the Nairobi 20, rose to 2212 points on June 5, 2025, gaining 0.87% from the previous session. Over the past month, the index has climbed 5.38% and is up 25.43% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks this benchmark index from Kenya. Kenya Stock Market (NSE20) - values, historical data, forecasts and news - updated on June of 2025.

  7. T

    Israel Stock Market (TA-125) Data

    • tradingeconomics.com
    • ar.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Jun 9, 2025
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    TRADING ECONOMICS (2025). Israel Stock Market (TA-125) Data [Dataset]. https://tradingeconomics.com/israel/stock-market
    Explore at:
    excel, json, csv, xmlAvailable download formats
    Dataset updated
    Jun 9, 2025
    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
    Oct 8, 1992 - Jun 9, 2025
    Area covered
    Israel
    Description

    Israel's main stock market index, the TA-125, fell to 2746 points on June 9, 2025, losing 0.21% from the previous session. Over the past month, the index has climbed 2.86% and is up 40.16% 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.

  8. Annual performance of the Dow Jones Composite Index 2000-2024

    • statista.com
    Updated Mar 10, 2025
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    Statista (2025). Annual performance of the Dow Jones Composite Index 2000-2024 [Dataset]. https://www.statista.com/statistics/189758/dow-jones-composite-index-closing-year-end-values-since-2000/
    Explore at:
    Dataset updated
    Mar 10, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    The Dow Jones Composite Index finished the year 2024 at 13,391.71 points, an increase compared to the previous year. Even with the economic effects of the global coronavirus (COVID-19) pandemic, 2021 had the highest point of the index in the past two decades. What is Dow Jones Composite Index? The Dow Jones Composite Index is one of the indices from the Dow Jones index family. It is composed of 65 leading U.S. companies: 30 stocks forming the Dow Jones Industrial Average index, 20 stocks from the Dow Jones Transportation index and 15 stocks from the Dow Jones Utility Average index. Importance of stock indices A stock market index shows an average performance of companies from a given section of the market. It is usually a weighted average, meaning that such factors as price of companies or their market capitalization are taken into consideration when calculating the index value. Stock indices are very useful for the financial market participants, as they instantly show the sentiments prevailing on a given market. They are also commonly used as a benchmark against portfolio performance, showing if a given portfolio has outperformed, or underperformed the market.

  9. T

    Indonesia Stock Market (JCI) Data

    • tradingeconomics.com
    • jp.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated May 15, 2025
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    TRADING ECONOMICS (2025). Indonesia Stock Market (JCI) Data [Dataset]. https://tradingeconomics.com/indonesia/stock-market
    Explore at:
    csv, excel, json, xmlAvailable download formats
    Dataset updated
    May 15, 2025
    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
    Apr 6, 1990 - Jun 5, 2025
    Area covered
    Indonesia
    Description

    Indonesia's main stock market index, the JCI, rose to 7113 points on June 5, 2025, gaining 0.63% from the previous session. Over the past month, the index has climbed 3.12% and is up 1.99% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks this benchmark index from Indonesia. Indonesia Stock Market (JCI) - values, historical data, forecasts and news - updated on June of 2025.

  10. Annual development Nasdaq 100 Index 1986-2024

    • statista.com
    Updated Feb 28, 2025
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    Statista (2025). Annual development Nasdaq 100 Index 1986-2024 [Dataset]. https://www.statista.com/statistics/261720/annual-development-of-the-sunds-500-index/
    Explore at:
    Dataset updated
    Feb 28, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    In 2021, the Nasdaq 100 closed at 16,320.08 points, which was the second highest value on record despite the economic effects of the global coronavirus (COVID-19) pandemic. The index value closed at 21,012.17 points in 2024, an increase of more than 4,000 points compared to its closing value for the previous year. What does the NASDAQ tell us? The Nasdaq 100 index is comprised of 100 largest and most actively traded non-financial companies listed on the Nasdaq stock exchange. Financial firms are represented by the NASDAQ Bank Index. A stock market index is a measurement of average performance of companies forming the index. It gives a snapshot of what investors are thinking at that particular moment. Other indices The Dow Jones Industrial Average gets more attention than the NASDAQ 100, though it only represents 30 companies. It’s best and worst days mark some of the major financial events of the past century. This helps to put more meaning behind events like Black Monday, the Wall Street crash of 1929, or the 2008 Financial Crisis, as well as the speed of their recoveries in financial markets.

  11. D

    Broad Based Index Fund Market Report | Global Forecast From 2025 To 2033

    • dataintelo.com
    csv, pdf, pptx
    Updated Jan 7, 2025
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    Dataintelo (2025). Broad Based Index Fund Market Report | Global Forecast From 2025 To 2033 [Dataset]. https://dataintelo.com/report/broad-based-index-fund-market
    Explore at:
    csv, pptx, pdfAvailable download formats
    Dataset updated
    Jan 7, 2025
    Dataset authored and provided by
    Dataintelo
    License

    https://dataintelo.com/privacy-and-policyhttps://dataintelo.com/privacy-and-policy

    Time period covered
    2024 - 2032
    Area covered
    Global
    Description

    Broad Based Index Fund Market Outlook



    The global broad-based index fund market size was valued at USD 5.3 trillion in 2023 and is projected to reach USD 11.2 trillion by 2032, growing at a compound annual growth rate (CAGR) of 8.5% during the forecast period. This substantial growth is driven by increasing investor interest in passive investment strategies, along with the rising emphasis on cost-effective and diversified portfolio management.



    The surge in demand for broad-based index funds can be attributed to several key growth factors. Firstly, the growing awareness and education about the benefits of passive investing over active management have played a significant role. Investors are increasingly leaning towards index funds due to their lower expense ratios, tax efficiency, and the ability to provide broad market exposure with minimal effort. Secondly, technological advancements and the rise of fintech have made these funds more accessible to a wider audience through online platforms and robo-advisors, democratizing investment opportunities for retail investors globally. Lastly, regulatory changes in many regions are encouraging greater transparency and lower fees in the financial services industry, which further bolsters the attractiveness of index funds as a preferred investment vehicle.



    The popularity of broad-based index funds is also bolstered by their performance resilience during market volatility. Historical data indicates that while actively managed funds often struggle to outperform the market consistently, index funds tend to provide more stable returns over the long term. This trend has been particularly noticeable during economic downturns and periods of market uncertainty, where investors seek the relative safety and predictability offered by broad-based diversified portfolios. Additionally, the increased focus on retirement planning and the shift from defined benefit to defined contribution retirement plans have spurred the growth of index funds as they are often the preferred choice in retirement accounts due to their long-term growth potential and lower costs.



    The regional outlook for the broad-based index fund market highlights significant growth potential across various geographies. North America, particularly the United States, remains the largest market for index funds, driven by the deep-rooted culture of investing and a well-established financial infrastructure. Europe follows closely, with growth fueled by regulatory support and increasing investor awareness. The Asia Pacific region is expected to witness the highest growth rate, propelled by the burgeoning middle class, rising disposable incomes, and increasing penetration of financial services. Latin America and the Middle East & Africa are also anticipated to demonstrate steady growth as financial markets in these regions continue to develop and mature.



    Mutual Funds Sales have seen a notable uptick as investors increasingly seek diversified investment options that align with their financial goals. This trend is particularly evident in the context of broad-based index funds, where mutual funds offer a structured approach to investing in a wide array of assets. The appeal of mutual funds lies in their ability to pool resources from multiple investors, enabling access to a diversified portfolio that might otherwise be unattainable for individual investors. This collective investment model not only reduces risk but also provides investors with professional management and oversight. As the financial landscape evolves, mutual funds continue to play a crucial role in facilitating access to index funds, thereby driving sales and expanding their market presence.



    Fund Type Analysis



    Equity index funds represent a significant portion of the broad-based index fund market. These funds track a variety of stock indices, such as the S&P 500, NASDAQ, and MSCI World Index, providing investors with exposure to a wide array of equity markets. The appeal of equity index funds lies in their ability to offer broad market diversification at a low cost. Investors benefit from the lower fees associated with passive management and the reduced risk of individual stock selection. As a result, equity index funds have become a staple in both retail and institutional portfolios, driving robust demand and growth in this segment.



    Bond index funds, though smaller in market share compared to their equity counterparts, are gaining traction as investors seek stable income and risk diversifi

  12. M

    Nikkei 225 Index

    • macrotrends.net
    csv
    Updated Jun 30, 2025
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    MACROTRENDS (2025). Nikkei 225 Index [Dataset]. https://www.macrotrends.net/2593/nikkei-225-index-historical-chart-data
    Explore at:
    csvAvailable download formats
    Dataset updated
    Jun 30, 2025
    Dataset authored and provided by
    MACROTRENDS
    License

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

    Time period covered
    1915 - 2025
    Area covered
    United States
    Description

    Interactive daily chart of Japan's Nikkei 225 stock market index back to 1949. Each data point represents the closing value for that trading day and is denominated in japanese yen (JPY). The current price is updated on an hourly basis with today's latest value.

  13. History of MAG7 stocks (20 years)

    • kaggle.com
    Updated Feb 13, 2025
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    IttiphoN (2025). History of MAG7 stocks (20 years) [Dataset]. https://www.kaggle.com/datasets/ittiphon/history-of-mag7-stocks-20-years
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Feb 13, 2025
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    IttiphoN
    License

    Apache License, v2.0https://www.apache.org/licenses/LICENSE-2.0
    License information was derived automatically

    Description

    1. Overview

    This dataset provides monthly stock price data for the MAG7 over the past 20 years (2004–2024). The data includes key financial metrics such as opening price, closing price, highest and lowest prices, trading volume, and percentage change. The dataset is valuable for financial analysis, stock trend forecasting, and portfolio optimization.

    2. What is MAG7 ?

    MAG7 refers to the seven largest and most influential technology companies in the U.S. stock market : - Microsoft (MSFT) - Apple (AAPL) - Google (Alphabet, GOOGL) - Amazon (AMZN) - Nvidia (NVDA) - Meta (META) - Tesla (TSLA)

    These companies are known for their market dominance, technological innovation, and significant impact on global stock indices such as the S&P 500 and Nasdaq-100.

    3. Dataset Details

    The dataset consists of historical monthly stock prices of MAG7, retrieved from Investing.com. It provides an overview of how these stocks have performed over two decades, reflecting market trends, economic cycles, and technological shifts.

    4. Columns Descriptions

    • Date The recorded month and year (DD-MM-YYYY)
    • Price The closing price of the stock at the end of the month
    • Open The price at which the stock opened at the beginning of the month
    • High The highest stock price recorded in the month
    • Low The lowest stock price recorded in the month
    • Vol. The total trading volume for the month
    • Change % The percentage change in stock price compared to the previous month # 5. Data Source & Format The dataset was obtained from Investing.com and downloaded in CSV format. The data has been processed to ensure consistency and accuracy, with date formats standardized for time-series analysis. # 6. Potential Use Cases This dataset can be used for :
    • 📈 Stock price trend analysis over 20 years
    • 📊 Building financial models for long-term investing
    • 🔎 Machine learning applications in stock market prediction
    • 📉 Evaluating market volatility and economic impact on MAG7 stocks

    7. Limitations & Considerations

    • ⚠️ The dataset is limited to monthly data, meaning short-term price fluctuations are not captured.
    • ⚠️ Trading volume (Vol.) may vary in availability due to differences in reporting.
    • ⚠️ External factors such as stock splits, dividends, and market crashes are not explicitly noted but may impact historical trends.
  14. India Equity Market Index

    • ceicdata.com
    Updated Dec 8, 2021
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    CEICdata.com (2021). India Equity Market Index [Dataset]. https://www.ceicdata.com/en/indicator/india/equity-market-index
    Explore at:
    Dataset updated
    Dec 8, 2021
    Dataset provided by
    CEIC Data
    License

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

    Time period covered
    Mar 1, 2024 - Feb 1, 2025
    Area covered
    India
    Variables measured
    Securities Exchange Index
    Description

    Key information about India Sensitive 30 (Sensex)

    • India Sensitive 30 (Sensex) closed at 73,198.1 points in Feb 2025, compared with 77,500.6 points at the previous month end
    • India Equity Market Index: Month End: BSE: Sensitive 30 (Sensex) data is updated monthly, available from Apr 1979 to Feb 2025, with an average number of 4,285.0 points
    • The data reached an all-time high of 84,299.8 points in Sep 2024 and a record low of 115.6 points in Nov 1979

    [COVID-19-IMPACT]


    Further information about India Sensitive 30 (Sensex)

    • In the latest reports, SENSEX recorded a daily P/E ratio of 20.6 in Mar 2025

  15. Performance difference between the S&P 500 ESG and S&P 500 indexes 2022-2025...

    • statista.com
    • ai-chatbox.pro
    Updated Apr 30, 2025
    + more versions
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    Statista (2025). Performance difference between the S&P 500 ESG and S&P 500 indexes 2022-2025 [Dataset]. https://www.statista.com/statistics/1269643/s-p-500-esg-normal-index-comparison/
    Explore at:
    Dataset updated
    Apr 30, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Apr 29, 2022 - Apr 29, 2025
    Area covered
    Worldwide
    Description

    Until the fourth quarter of 2023, the S&P 500 and the S&P 500 ESG index exhibited similar performance, both indexes were weighted to similar industries as the S&P 500 followed the leading 500 companies in the United States. Throughout 2024, the S&P 500 ESG index steadily outperformed the S&P 500 by three points on average. During the coronavirus pandemic, the technology sector was one of the best-performing sectors in the market. The major differences between the two indexes were the S&P 500 ESG index was skewed towards firms with higher environmental, social, and governance (ESG) scores and had a higher concentration of technology securities than the S&P 500 index. What is a market capitalization index? Both the S&P 500 and the S&P 500 ESG are market capitalization indexes, meaning the individual components (such as stocks and other securities) weighted to the indexes influence the overall value. Market trends such as inflation, interest rates, and international issues like the coronavirus pandemic and the popularity of ESG among professional investors affect the performance of stocks. When weighted components rise in value this causes an increase in the overall value of the index they are weighted too. What trends are driving index performance? Recent economic and social trends have led to higher levels of ESG integration and maintenance among firms worldwide and higher prioritization from investors to include ESG-focused firms in their investment choices. From a global survey group over one-third of the respondents were willing to prioritize ESG benefits over a higher return on their investment. These trends influenced the performance of securities on the market, leading to an increased value of individual weighted stocks, resulting in an overall increase in the index value.

  16. Reliance share fluctuations in latest year

    • kaggle.com
    Updated May 25, 2023
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    Jai Chauhan (2023). Reliance share fluctuations in latest year [Dataset]. https://www.kaggle.com/datasets/jack232126/reliance-share-fluctuations-in-latest-year
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    May 25, 2023
    Dataset provided by
    Kaggle
    Authors
    Jai Chauhan
    License

    http://www.gnu.org/licenses/lgpl-3.0.htmlhttp://www.gnu.org/licenses/lgpl-3.0.html

    Description

    Description

    The Nifty 50 index is a free-float market-capitalization-weighted index of the top 50 companies listed on the National Stock Exchange of India. This means that the index is calculated by taking the market capitalization of each company and weighting it according to the free float of shares. The free float is the number of shares that are available for trading on the open market.

    The data is from the NSE website and is updated daily. This means that you can use the data to track the performance of the Nifty 50 index on a daily basis. You can also use the data to identify trends in the Indian stock market. For example, if you see that the Nifty 50 index is consistently rising, this could be a sign that the Indian stock market is doing well.

    The data can also be used to make investment decisions. For example, if you see that a particular company is consistently performing well, you may want to consider investing in that company. However, it is important to remember that past performance is not necessarily indicative of future results.

    Overall, the data is a valuable resource for anyone who is interested in the Indian stock market. It can be used to track the performance of the Nifty 50 index, identify trends in the market, and make investment decisions.

    Date: 25 May, 2023

    Data This data is related to share market and I personally collecting this data on NSE official website with the help of web scrapping. This data helps you to enhancing the trading skills also you can build the project with this real time data.

  17. f

    Statistics of ‘diffrate’.

    • figshare.com
    xls
    Updated Mar 13, 2024
    + more versions
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    Yuancheng Si; Saralees Nadarajah; Zongxin Zhang; Chunmin Xu (2024). Statistics of ‘diffrate’. [Dataset]. http://doi.org/10.1371/journal.pone.0299164.t002
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Mar 13, 2024
    Dataset provided by
    PLOS ONE
    Authors
    Yuancheng Si; Saralees Nadarajah; Zongxin Zhang; Chunmin Xu
    License

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

    Description

    In the dynamic landscape of financial markets, accurate forecasting of stock indices remains a pivotal yet challenging task, essential for investors and policymakers alike. This study is motivated by the need to enhance the precision of predicting the Shanghai Composite Index’s opening price spread, a critical measure reflecting market volatility and investor sentiment. Traditional time series models like ARIMA have shown limitations in capturing the complex, nonlinear patterns inherent in stock price movements, prompting the exploration of advanced methodologies. The aim of this research is to bridge the gap in forecasting accuracy by developing a hybrid model that integrates the strengths of ARIMA with deep learning techniques, specifically Long Short-Term Memory (LSTM) and Gated Recurrent Unit (GRU) networks. This novel approach leverages the ARIMA model’s proficiency in linear trend analysis and the deep learning models’ capability in modeling nonlinear dependencies, aiming to provide a comprehensive tool for market prediction. Utilizing a comprehensive dataset covering the period from December 20, 1990, to June 2, 2023, the study develops and assesses the efficacy of ARIMA, LSTM, GRU, ARIMA-LSTM, and ARIMA-GRU models in forecasting the Shanghai Composite Index’s opening price spread. The evaluation of these models is based on key statistical metrics, including Mean Squared Error (MSE) and Mean Absolute Error (MAE), to gauge their predictive accuracy. The findings indicate that the hybrid models, ARIMA-LSTM and ARIMA-GRU, perform better in forecasting the opening price spread of the Shanghai Composite Index than their standalone counterparts. This outcome suggests that combining traditional statistical methods with advanced deep learning algorithms can enhance stock market prediction. The research contributes to the field by providing evidence of the potential benefits of integrating different modeling approaches for financial forecasting, offering insights that could inform investment strategies and financial decision-making.

  18. T

    Ireland Stock Market (ISEQ) Data

    • tradingeconomics.com
    • de.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated May 16, 2025
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    TRADING ECONOMICS (2025). Ireland Stock Market (ISEQ) Data [Dataset]. https://tradingeconomics.com/ireland/stock-market
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    xml, excel, csv, jsonAvailable download formats
    Dataset updated
    May 16, 2025
    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
    Mar 1, 1989 - Jun 6, 2025
    Area covered
    Ireland
    Description

    Ireland's main stock market index, the ISEQ, rose to 11622 points on June 6, 2025, gaining 0.14% from the previous session. Over the past month, the index has climbed 7.59% and is up 18.16% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks this benchmark index from Ireland. Ireland Stock Market (ISEQ) - values, historical data, forecasts and news - updated on June of 2025.

  19. f

    Hyperparameters used in the baseline models.

    • plos.figshare.com
    xls
    Updated May 9, 2025
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    Shafiqah Azman; Dharini Pathmanathan; Vimala Balakrishnan (2025). Hyperparameters used in the baseline models. [Dataset]. http://doi.org/10.1371/journal.pone.0323015.t004
    Explore at:
    xlsAvailable download formats
    Dataset updated
    May 9, 2025
    Dataset provided by
    PLOS ONE
    Authors
    Shafiqah Azman; Dharini Pathmanathan; Vimala Balakrishnan
    License

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

    Description

    The heteroscedastic and volatile characteristics of stock price data have attracted the interest of researchers from various disciplines, particularly in the realm of price forecasting. The stock market’s non-stationary and volatile nature, driven by complex interrelationships among financial assets, economic developments, and market participants, poses significant challenges for accurate forecasting. This research aims to develop a robust forecasting model to improve the accuracy and reliability of stock price predictions using machine learning. A two-stage forecasting model is introduced. First, a random forest subset-based (RFS) feature selection with repeated -fold cross-validation selects the best subset of features from eight predictors: highest price, lowest price, closing price, volume, change, price change ratio, and amplitude. These features are then used as input in a bidirectional gated recurrent unit with an attention mechanism (BiGRU-AM) model to forecast daily opening prices of ten stock indices. The proposed model exhibits superior forecasting performance across ten stock indices when compared to twelve benchmarks, evaluated using root mean squared error (RMSE), mean absolute error (MAE), and the coefficient of determination, . The improved prediction accuracy enables financial professionals to make more reliable investment decisions, reducing risks and increasing profits.

  20. SP500 Stock Market Index

    • kaggle.com
    Updated Sep 25, 2020
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    Elvin Aghammadzada (2020). SP500 Stock Market Index [Dataset]. https://www.kaggle.com/elvinagammed/sp500-stock-market-index/metadata
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Sep 25, 2020
    Dataset provided by
    Kaggle
    Authors
    Elvin Aghammadzada
    License

    http://opendatacommons.org/licenses/dbcl/1.0/http://opendatacommons.org/licenses/dbcl/1.0/

    Description

    Context

    The S&P 500,[2] or simply the S&P,[4] is a stock market index that measures the stock performance of 500 large companies listed on stock exchanges in the United States. It is one of the most commonly followed equity indices.[5] The average annual total return and compound annual growth rate of the index, including dividends, since inception in 1926 has been approximately 9.8%, or 6% after inflation; however, there were several years where the index declined over 30%.[6][7] The index has posted annual increases 70% of the time.[5] However, the index has only made new highs on 5% of trading days, meaning that on 95% of trading days, the index has closed below its all-time high.[8]

    For a list of the components of the index, see List of S&P 500 companies. The components that have increased their dividends in 25 consecutive years are known as the S&P 500 Dividend Aristocrats.[9]:25

    The S&P 500 index is a capitalization-weighted index and the 10 largest companies in the index account for 26% of the market capitalization of the index. The 10 largest companies in the index, in order of weighting, are Apple Inc., Microsoft, Amazon.com, Alphabet Inc., Facebook, Johnson & Johnson, Berkshire Hathaway, Visa Inc., Procter & Gamble and JPMorgan Chase, respectively.[2]

    Funds that track the index have been recommended as investments by Warren Buffett, Burton Malkiel, and John C. Bogle for investors with long time horizons.[10]

    Although the index includes only companies listed in the United States, companies in the index derive on average only 71% of their revenue in the United States.[11]

    The index is one of the factors in computation of the Conference Board Leading Economic Index, used to forecast the direction of the economy.[12]

    The index is associated with many ticker symbols, including: ^GSPC,[13] INX,[14] and $SPX, depending on market or website.[15] The index value is updated every 15 seconds, or 1,559 times per trading day, with price updates disseminated by Reuters.[16]

    The S&P 500 is maintained by S&P Dow Jones Indices, a joint venture majority-owned by S&P Global and its components are selected by a committee.[17][18]

    Content

    What's inside is more than just rows and columns. Make it easy for others to get started by describing how you acquired the data and what time period it represents, too.

    Acknowledgements

    We wouldn't be here without the help of others. If you owe any attributions or thanks, include them here along with any citations of past research.

    Inspiration

    Your data will be in front of the world's largest data science community. What questions do you want to see answered?

Share
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Close
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TRADING ECONOMICS (2021). United Kingdom Stock Market Index (GB100) Data [Dataset]. https://tradingeconomics.com/united-kingdom/stock-market

United Kingdom Stock Market Index (GB100) Data

United Kingdom Stock Market Index (GB100) - Historical Dataset (1984-01-03/2025-06-06)

Explore at:
7 scholarly articles cite this dataset (View in Google Scholar)
excel, xml, json, csvAvailable download formats
Dataset updated
May 11, 2021
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 3, 1984 - Jun 6, 2025
Area covered
United Kingdom
Description

United Kingdom's main stock market index, the GB100, rose to 8838 points on June 6, 2025, gaining 0.30% from the previous session. Over the past month, the index has climbed 3.25% and is up 7.19% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks this benchmark index from United Kingdom. United Kingdom Stock Market Index (GB100) - values, historical data, forecasts and news - updated on June of 2025.

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