60 datasets found
  1. Largest point gains of the Dow Jones Average 2025

    • statista.com
    Updated Jul 11, 2025
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    Statista (2025). Largest point gains of the Dow Jones Average 2025 [Dataset]. https://www.statista.com/statistics/274196/largest-single-day-gains-of-the-dow-jones-index/
    Explore at:
    Dataset updated
    Jul 11, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    April 9, 2025, saw the largest one-day gain in the history of the Dow Jones Industrial Average (DJIA), follwing Trump's announcement of 90-day delay in the introduction of tariffs imposed on imports from all countries. The second-largest one-day gain occurred on March 24, 2020, with the index increasing ******** points. This occurred approximately two weeks after the largest one-day point loss occurred on March 9, 2020, which was triggered by the growing panic about the coronavirus outbreak worldwide. Index fluctuations The DJIA is an index of ** large companies traded on the New York Stock Exchange. It is one of the numbers that financial analysts watch closely, using it as a bellwether for the United States economy. Seeing when these large gains occur, as well as the largest one-day point losses, gives insight to why these fluctuations may occur. The gains in 2009 are likely adjustments after major losses during the Financial Crisis, but those in 2018 are probably signs of high market volatility. Other leading financial indicators While the DJIA is closely watched, it only gives insight on the performance of thirty leading U.S. companies. An index like the S&P 500, tracking *** companies, can give a more comprehensive overview of the United States economy. Even so, this only reflects investment. Other parts of the economy, such as consumer spending or unemployment rate are not well reflected in stock market indices.

  2. Largest point losses of the Dow Jones Average 2025

    • statista.com
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    Statista, Largest point losses of the Dow Jones Average 2025 [Dataset]. https://www.statista.com/statistics/274327/largest-single-day-losses-of-the-dow-jones-index/
    Explore at:
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    Following the announcement of sweeping tariffs on all countries by Donald Trump, ************* became the day with the third-highest point losses for the Dow Jones Industrial Average in history. Worse than the loss experienced on that day were only the losses that occurred following the beginning of the COVID-19 pandemic. The Dow Jones Industrial Average posted significant points losses due to the global impact of the coronavirus pandemic in 2020. With stocks falling sharply, the Dow recorded its worst single-day points drop ever, plunging ***** points – nearly ** percent – on **************.

  3. Worst days in the history of Dow Jones Industrial Average index 1897-2024

    • statista.com
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    Statista, Worst days in the history of Dow Jones Industrial Average index 1897-2024 [Dataset]. https://www.statista.com/statistics/261797/the-worst-days-of-the-dow-jones-index-since-1897/
    Explore at:
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    The statistic shows the worst days of the Dow Jones Industrial Average index from 1897 to 2024. The worst day in the history of the index was ****************, when the index value decreased by ***** percent. The largest single day loss in points was on ***********.

  4. Best days in the history of Dow Jones Industrial Average index 1897-2024

    • statista.com
    Updated Jan 15, 2025
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    Statista (2025). Best days in the history of Dow Jones Industrial Average index 1897-2024 [Dataset]. https://www.statista.com/statistics/261794/the-best-days-of-the-dow-jones-index-since-1897/
    Explore at:
    Dataset updated
    Jan 15, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    The statistic shows the best days of the Dow Jones Industrial Average index from 1897 to 2024. The best day in the history of the index was October 6, 1931, when the index value increased by almost ** percent - although it should be noted that this occured one day after the Dow Jones experienced its fourth-worst day of all time, dropping over **** percent. The largest gain in points occurred on October 13, 2008.

  5. F

    S&P 500

    • fred.stlouisfed.org
    json
    Updated Dec 1, 2025
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    (2025). S&P 500 [Dataset]. https://fred.stlouisfed.org/series/SP500
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Dec 1, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-pre-approvalhttps://fred.stlouisfed.org/legal/#copyright-pre-approval

    Description

    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.

  6. Monthly development Dow Jones Industrial Average Index 2018-2025

    • statista.com
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    Statista, Monthly development Dow Jones Industrial Average Index 2018-2025 [Dataset]. https://www.statista.com/statistics/261690/monthly-performance-of-djia-index/
    Explore at:
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jan 2018 - Jun 2025
    Area covered
    United States
    Description

    The value of the DJIA index amounted to ****** at the end of June 2025, up from ********* at the end of March 2020. Global panic about the coronavirus epidemic caused the drop in March 2020, which was the worst drop since the collapse of Lehman Brothers in 2008. Dow Jones Industrial Average index – additional information The Dow Jones Industrial Average index is a price-weighted average of 30 of the largest American publicly traded companies on New York Stock Exchange and NASDAQ, and includes companies like Goldman Sachs, IBM and Walt Disney. This index is considered to be a barometer of the state of the American economy. DJIA index was created in 1986 by Charles Dow. Along with the NASDAQ 100 and S&P 500 indices, it is amongst the most well-known and used stock indexes in the world. The year that the 2018 financial crisis unfolded was one of the worst years of the Dow. It was also in 2008 that some of the largest ever recorded losses of the Dow Jones Index based on single-day points were registered. On September 29, 2008, for instance, the Dow had a loss of ****** points, one of the largest single-day losses of all times. The best years in the history of the index still are 1915, when the index value increased by ***** percent in one year, and 1933, year when the index registered a growth of ***** percent.

  7. Biggest one-day losses Nasdaq Composite Index 2020-2024

    • statista.com
    Updated Aug 23, 2024
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    Statista (2024). Biggest one-day losses Nasdaq Composite Index 2020-2024 [Dataset]. https://www.statista.com/statistics/1027906/biggest-one-day-losses-nasdaq-composite-index/
    Explore at:
    Dataset updated
    Aug 23, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Mar 2020 - Aug 2024
    Area covered
    United States
    Description

    Between March 2020 and August 2024, four of the biggest one-day losses on the Nasdaq Composite Index occurred in the first half of 2020. The worst day was March 16, 2020, when the index fell by ***** percent. The ** worst days in terms of losses were spread across 2020 and 2022. This index includes the Big Five tech giants - Apple, Amazon, Alphabet (Google), Meta, and Microsoft - as well as many other technology-focused companies.

  8. Stock Prices

    • kaggle.com
    zip
    Updated Sep 11, 2021
    + more versions
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    mysar ahmad bhat (2021). Stock Prices [Dataset]. https://www.kaggle.com/datasets/mysarahmadbhat/stock-prices
    Explore at:
    zip(9279872 bytes)Available download formats
    Dataset updated
    Sep 11, 2021
    Authors
    mysar ahmad bhat
    License

    https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

    Description

    S&P 500 Stock Prices

    Historical stock market data for current S&P 500 companies, from 2014-2017. Each record represents a single day of trading, and includes the ticker name, volume, high, low, open and close prices.

    Recommended Analysis

    Which date in the sample saw the largest overall trading volume? On that date, which two stocks were traded most?

    On which day of the week does volume tend to be highest? Lowest?

    On which date did Amazon (AMZN) see the most volatility, measured by the difference between the high and low price?

    If you could go back in time and invest in one stock from 1/2/2014 - 12/29/2017, which would you choose? What % gain would you realize?

  9. Weekly development Dow Jones Industrial Average Index 2020-2025

    • statista.com
    Updated Mar 15, 2025
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    Statista (2025). Weekly development Dow Jones Industrial Average Index 2020-2025 [Dataset]. https://www.statista.com/statistics/1104278/weekly-performance-of-djia-index/
    Explore at:
    Dataset updated
    Mar 15, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jan 1, 2020 - Mar 2, 2025
    Area covered
    United States
    Description

    The Dow Jones Industrial Average (DJIA) index dropped around ***** points in the four weeks from February 12 to March 11, 2020, but has since recovered and peaked at ********* points as of November 24, 2024. In February 2020 - just prior to the global coronavirus (COVID-19) pandemic, the DJIA index stood at a little over ****** points. U.S. markets suffer as virus spreads The COVID-19 pandemic triggered a turbulent period for stock markets – the S&P 500 and Nasdaq Composite also recorded dramatic drops. At the start of February, some analysts remained optimistic that the outbreak would ease. However, the increased spread of the virus started to hit investor confidence, prompting a record plunge in the stock markets. The Dow dropped by more than ***** points in the week from February 21 to February 28, which was a fall of **** percent – its worst percentage loss in a week since October 2008. Stock markets offer valuable economic insights The Dow Jones Industrial Average is a stock market index that monitors the share prices of the 30 largest companies in the United States. By studying the performance of the listed companies, analysts can gauge the strength of the domestic economy. If investors are confident in a company’s future, they will buy its stocks. The uncertainty of the coronavirus sparked fears of an economic crisis, and many traders decided that investment during the pandemic was too risky.

  10. T

    China Shanghai Composite Stock Market Index Data

    • tradingeconomics.com
    • jp.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Dec 2, 2025
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    TRADING ECONOMICS (2025). China Shanghai Composite Stock Market Index Data [Dataset]. https://tradingeconomics.com/china/stock-market
    Explore at:
    xml, csv, excel, jsonAvailable download formats
    Dataset updated
    Dec 2, 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
    Dec 19, 1990 - Dec 2, 2025
    Area covered
    China
    Description

    China's main stock market index, the SHANGHAI, fell to 3898 points on December 2, 2025, losing 0.42% from the previous session. Over the past month, the index has declined 1.98%, though it remains 15.36% higher than a year ago, 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 December of 2025.

  11. T

    Germany Stock Market Index (DE40) Data

    • tradingeconomics.com
    • zh.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Dec 2, 2025
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    TRADING ECONOMICS (2025). Germany Stock Market Index (DE40) Data [Dataset]. https://tradingeconomics.com/germany/stock-market
    Explore at:
    xml, csv, json, excelAvailable download formats
    Dataset updated
    Dec 2, 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
    Dec 30, 1987 - Dec 2, 2025
    Area covered
    Germany
    Description

    Germany's main stock market index, the DE40, rose to 23722 points on December 2, 2025, gaining 0.56% from the previous session. Over the past month, the index has declined 1.70%, though it remains 18.51% higher than a year ago, according to trading on a contract for difference (CFD) that tracks this benchmark index from Germany. Germany Stock Market Index (DE40) - values, historical data, forecasts and news - updated on December of 2025.

  12. JPMorgan Chase Stock Data 2025

    • kaggle.com
    zip
    Updated Mar 4, 2025
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    Umer Haddii (2025). JPMorgan Chase Stock Data 2025 [Dataset]. https://www.kaggle.com/datasets/umerhaddii/jpmorgan-chase-stock-data-2025
    Explore at:
    zip(277487 bytes)Available download formats
    Dataset updated
    Mar 4, 2025
    Authors
    Umer Haddii
    License

    https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

    Description

    Context

    JPMorgan Chase & Co. is an American multinational financial services firm headquartered in New York City and incorporated in Delaware. It is the largest bank in the United States and the world's largest bank by market capitalization as of 2023.

    Market cap

    Market capitalization of JPMorgan Chase (JPM)
    
    Market cap: $728.72 Billion USD
    
    

    As of March 2025 JPMorgan Chase has a market cap of $728.72 Billion USD. This makes JPMorgan Chase the world's 14th most valuable company by market cap according to our data. The market capitalization, commonly called market cap, is the total market value of a publicly traded company's outstanding shares and is commonly used to measure how much a company is worth.

    Revenue

    Revenue for JPMorgan Chase (JPM)
    
    Revenue in 2024 (TTM): $177.41 Billion USD
    

    According to JPMorgan Chase's latest financial reports the company's current revenue (TTM ) is $177.41 Billion USD. an increase over the revenue in the year 2023 that were of $155.29 Billion USD. The revenue is the total amount of income that a company generates by the sale of goods or services. Unlike with the earnings no expenses are subtracted.

    Earnings

    Earnings for JPMorgan Chase (JPM)
    
    Earnings in 2024 (TTM): $75.08 Billion USD
    

    According to JPMorgan Chase's latest financial reports the company's current earnings are $177.41 Billion USD. , an increase over its 2023 earnings that were of $61.61 Billion USD. The earnings displayed on this page is the company's Pretax Income.

    End of Day market cap according to different sources

    On Mar 3rd, 2025 the market cap of JPMorgan Chase was reported to be:

    $728.72 Billion USD by Yahoo Finance

    $728.72 Billion USD by CompaniesMarketCap

    $728.74 Billion USD by Nasdaq

    Content

    Geography: USA

    Time period: March 1980- March 2025

    Unit of analysis: Amazon Stock Data 2025

    Variables

    VariableDescription
    datedate
    openThe price at market open.
    highThe highest price for that day.
    lowThe lowest price for that day.
    closeThe price at market close, adjusted for splits.
    adj_closeThe closing price after adjustments for all applicable splits and dividend distributions. Data is adjusted using appropriate split and dividend multipliers, adhering to Center for Research in Security Prices (CRSP) standards.
    volumeThe number of shares traded on that day.

    Acknowledgements

    This dataset belongs to me. I’m sharing it here for free. You may do with it as you wish.

    https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F18335022%2F93ac6427f436b679bd28df417fc26045%2FScreenshot%202025-03-04%20144845.png?generation=1741081771375037&alt=media" alt="">

    https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F18335022%2F78503b08b79fa51d8d1fa7fee2716ce2%2FScreenshot%202025-03-04%20144855.png?generation=1741081787000647&alt=media" alt="">

    https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F18335022%2Ff67da9f3f22da9130252f91897c1bd8a%2FScreenshot%202025-03-04%20144904.png?generation=1741081802309054&alt=media" alt="">

  13. y

    S&P 500 Monthly Return

    • ycharts.com
    html
    Updated Nov 5, 2025
    + more versions
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    Standard and Poor's (2025). S&P 500 Monthly Return [Dataset]. https://ycharts.com/indicators/sp_500_monthly_return
    Explore at:
    htmlAvailable download formats
    Dataset updated
    Nov 5, 2025
    Dataset provided by
    YCharts
    Authors
    Standard and Poor's
    License

    https://www.ycharts.com/termshttps://www.ycharts.com/terms

    Time period covered
    Nov 30, 1999 - Oct 31, 2025
    Area covered
    United States
    Variables measured
    S&P 500 Monthly Return
    Description

    View monthly updates and historical trends for S&P 500 Monthly Return. from United States. Source: Standard and Poor's. Track economic data with YCharts a…

  14. T

    Israel Stock Market (TA-125) Data

    • tradingeconomics.com
    • ar.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Feb 10, 2017
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    TRADING ECONOMICS (2017). Israel Stock Market (TA-125) Data [Dataset]. https://tradingeconomics.com/israel/stock-market
    Explore at:
    excel, json, csv, xmlAvailable download formats
    Dataset updated
    Feb 10, 2017
    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 - Dec 2, 2025
    Area covered
    Israel
    Description

    Israel's main stock market index, the TA-125, rose to 3538 points on December 2, 2025, gaining 1.75% from the previous session. Over the past month, the index has climbed 4.40% and is up 50.06% 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 December of 2025.

  15. Annual development Dow Jones Industrial Average Index 1986-2024

    • statista.com
    Updated Nov 29, 2025
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    Statista (2025). Annual development Dow Jones Industrial Average Index 1986-2024 [Dataset]. https://www.statista.com/statistics/262889/performance-of-the-dow-jones-industrial-average-since-1975/
    Explore at:
    Dataset updated
    Nov 29, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    This statistic presents the development of the Dow Jones Industrial Average index from 1986 to 2023. The 2023 year-end value of Dow Jones Industrial Average index amounted to *********. What is the Dow Jones Industrial Average index? Along with the NASDAQ 100 index, the Dow Jones Industrial Average (DJIA) is amongst the most well-known and used stock indexes in the world. DJIA index was created in 1985 by Charles Dow. It is second oldest U.S. index and one of the most important U.S. stock market indices. It reflects the performance of 30 of the most influential U.S. based companies from various industries, such as JPMorgan Chase, IBM and Walt Disney traded on the New York Stock Exchange and the NASDAQ. Performance of the Dow Jones Industrial Average The year that the financial crisis unfolded, 2008, was one of the worst years of the Dow. It was also in 2008 that some of the largest ever recorded losses of the DJIA based on single-day points were registered. On September 29th of 2008, for instance, the Dow had a loss of ****** points, the third largest single-day loss of all times. Since 2008 the index has generally been increasing, registering a high of ********* in 2019 before the economic effects of the global coronavirus (COVID-19) pandemic caused both the largest single-day losses, and largest single-day gains of the DJIA.

  16. 💱15Y Stock Data: NVDA, AAPL, MSFT, GOOGL & AMZN💹

    • kaggle.com
    zip
    Updated Apr 20, 2025
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    maria nadeem (2025). 💱15Y Stock Data: NVDA, AAPL, MSFT, GOOGL & AMZN💹 [Dataset]. https://www.kaggle.com/datasets/marianadeem755/stock-market-data
    Explore at:
    zip(688696 bytes)Available download formats
    Dataset updated
    Apr 20, 2025
    Authors
    maria nadeem
    License

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

    Description
    • This is the Historical Stock Market Data of five major Big Tech companies: NVIDIA (NVDA), Apple (AAPL), Microsoft (MSFT), Google (GOOGL), and Amazon (AMZN) over a 15 years from January 1, 2010 to January 1, 2025.
    • It includes daily stock data with opening and closing prices, highs, lows and trading volume.
    • This dataset serves as a valuable resource for analyzing long term growth trends, volatility and market behavior of leading tech giants.
    • By analyzing this dataset, we can gain a deeper understanding of NVDA, AAPL, MSFT, GOOGL, and AMZN's historical stock behavior over 15 years and make predictions about their future performance.

    Columns Description:

    1. Date: The trading date of the stock data entry.
    2. Close_AAPL: Apple’s stock price at market close at the end of the trading days.
    3. Close_AMZN: Amazon’s stock price at market close at the end of the trading days.
    4. Close_GOOGL: Google’s stock price at market close at the end of the trading days.
    5. Close_MSFT: Microsoft’s stock price at the end of the trading days.
    6. Close_NVDA: NVIDIA’s stock price at the end of the trading days.
    7. High_AAPL: The highest price of Apple’s stock reached during the trading days.
    8. High_AMZN: The highest price of Amazon’s stock reached during the trading days.
    9. High_GOOGL: The highest price of Google’s stock reached during the trading days.
    10. High_MSFT: The highest price of Microsoft’s stock reached during the trading days.
    11. High_NVDA: The highest price of NVIDIA’s stock reached during the trading days.
    12. Low_AAPL: The lowest price of Apple’s stock reached during the trading days.
    13. Low_AMZN: The lowest price of Amazon’s stock reached during the trading days.
    14. Low_GOOGL: The lowest price of Google’s stock reached during the trading days.
    15. Low_MSFT: The lowest price of Microsoft’s stock reached during the trading days.
    16. Low_NVDA: The lowest price NVIDIA’s stock reached during the trading days.
    17. Open_AAPL: Apple’s opening stock price at the beginning of the trading days.
    18. Open_AMZN: Amazon’s opening stock price at the beginning of the trading days.
    19. Open_GOOGL: Google’s opening stock price at the beginning of the trading days.
    20. Open_MSFT: Microsoft’s opening stock price at the beginning of the trading days.
    21. Open_NVDA: NVIDIA’s opening stock price at the beginning of the trading days.
    22. Volume_AAPL: The number of shares traded of Apple’s stock during the trading days.
    23. Volume_AMZN: The number of shares traded of Amazon’s stock during the trading days.
    24. Volume_GOOGL: The number of shares traded of Google’s stock during the trading days.
    25. Volume_MSFT: The number of shares traded of Microsoft’s stock during the trading days.
    26. Volume_NVDA: The number of shares traded of NVIDIA’s stock during the trading days.

    Usefulness of Data:

    1. Trend Analysis: This dataset can be used for the analysis of long term stock price trends for major 5 tech companies. By analyzing this dataset and taking deep insights about the data and stock patterns over 15 years, investors can identify potential opportunities.
    2. Volatility and Risk Assessment: The data helps to assess the volatility of 5 big tech companies' stocks by comparing highs and lows and provides the management strategies to the investors.
    3. Predictive Modeling: With stock prices, this dataset can be used for developing predictive models such as forecasting future stock prices using techniques such as ARIMA, SARIMAX, or Deep Learning Models.
    4. Comparative Analysis: By analyzing this Dataset, researchers and analysts can compare the performance of NVIDIA, Apple, Microsoft, Google, and Amazon over 15 years, which helps to identify trends in the stock market and relative growth between these companies.
    5. Market Behavior Understanding: By analyzing how each stock reacts to major market events (e.g., earnings reports & macroeconomic changes, etc.), we can understand the companies' growth & patterns.

    https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F17226110%2Fb9d7d8fe0c03086606ebbd7e2e2db04d%2FSock%20Market%20Image.png?generation=1745136427757536&alt=media" alt="">

  17. ALL Fortune 1000 Stock Data

    • kaggle.com
    zip
    Updated Jul 26, 2022
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    Neel Gajare (2022). ALL Fortune 1000 Stock Data [Dataset]. https://www.kaggle.com/neelgajare/all-fortune-1000-stock-data
    Explore at:
    zip(114723080 bytes)Available download formats
    Dataset updated
    Jul 26, 2022
    Authors
    Neel Gajare
    Description

    Context

    The Fortune 1000 are the 1,000 largest American companies ranked by revenues, as compiled by the American business magazine Fortune. It only includes companies which are incorporated or authorized to do business in the United States, and for which revenues are publicly available (regardless of whether they are public companies listed on a stock market).

    Content

    This dataset contains 1018 text files with comma-separated values, with each file representing historical data for each company. The data in each file contains daily stock data for the company from when it became public to present. There are 7 columns: - Date - Open - High - Low - Close - Adjusted close price for splits and dividend and/or capital gain distributions - Volume

    Acknowledgements

    Thanks to Yahoo Finance!

  18. T

    Canada Stock Market Index (TSX) Data

    • tradingeconomics.com
    • de.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Dec 2, 2025
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    TRADING ECONOMICS (2025). Canada Stock Market Index (TSX) Data [Dataset]. https://tradingeconomics.com/canada/stock-market
    Explore at:
    csv, xml, excel, jsonAvailable download formats
    Dataset updated
    Dec 2, 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
    Jun 29, 1979 - Dec 2, 2025
    Area covered
    Canada
    Description

    Canada's main stock market index, the TSX, fell to 30943 points on December 2, 2025, losing 0.51% from the previous session. Over the past month, the index has climbed 2.21% and is up 20.70% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks this benchmark index from Canada. Canada Stock Market Index (TSX) - values, historical data, forecasts and news - updated on December of 2025.

  19. Foreign Exchange Market Analysis, Size, and Forecast 2025-2029: North...

    • technavio.com
    pdf
    Updated Dec 27, 2024
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    Technavio (2024). Foreign Exchange Market Analysis, Size, and Forecast 2025-2029: North America (US and Canada), Europe (Germany, Switzerland, UK), Middle East and Africa (UAE), APAC (China, India, Japan), South America (Brazil), and Rest of World (ROW) [Dataset]. https://www.technavio.com/report/foreign-exchange-market-industry-analysis
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    pdfAvailable download formats
    Dataset updated
    Dec 27, 2024
    Dataset provided by
    TechNavio
    Authors
    Technavio
    License

    https://www.technavio.com/content/privacy-noticehttps://www.technavio.com/content/privacy-notice

    Time period covered
    2025 - 2029
    Area covered
    United States
    Description

    Snapshot img

    Foreign Exchange Market Size 2025-2029

    The foreign exchange market size is valued to increase by USD 582 billion, at a CAGR of 10.6% from 2024 to 2029. Growing urbanization and digitalization will drive the foreign exchange market.

    Major Market Trends & Insights

    Europe dominated the market and accounted for a 47% growth during the forecast period.
    By Type - Reporting dealers segment was valued at USD 278.60 billion in 2023
    By Trade Finance Instruments - Currency swaps segment accounted for the largest market revenue share in 2023
    

    Market Size & Forecast

    Market Opportunities: USD 118.14 billion
    Market Future Opportunities: USD 582.00 billion
    CAGR from 2024 to 2029 : 10.6%
    

    Market Summary

    The market, a dynamic and intricate web of financial transactions, plays a pivotal role in facilitating global trade and economic interactions. Its primary function is to enable the conversion of one currency into another, thereby mitigating the risk of currency fluctuations for businesses and investors. Key drivers of this market include growing urbanization and digitalization, which have expanded trading opportunities to a 24x7 global economy. However, the uncertainty of future exchange rates poses a significant challenge, necessitating effective risk management strategies. The market's evolution reflects the increasing interconnectedness of the global economy. Transactions occur in a decentralized, over-the-counter system, with major trading centers in London, New York, and Tokyo.
    Participants include commercial banks, investment banks, hedge funds, and individual investors, all seeking to capitalize on price differences between currencies. Trends shaping the market include the increasing use of automation and artificial intelligence to analyze market data and execute trades. Regulatory changes, such as the introduction of stricter capital requirements, also impact the market's functioning. Looking ahead, the market is expected to remain a vital component of the global financial landscape, with continued growth driven by increased trade and economic interdependence. However, challenges, such as regulatory changes and geopolitical risks, will necessitate adaptability and innovation from market participants.
    

    What will be the Size of the Foreign Exchange Market during the forecast period?

    Get Key Insights on Market Forecast (PDF) Request Free Sample

    How is the Foreign Exchange Market Segmented ?

    The foreign exchange industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD billion' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments.

    Type
    
      Reporting dealers
      Financial institutions
      Non-financial customers
    
    
    Trade Finance Instruments
    
      Currency swaps
      Outright forward and FX swaps
      FX options
    
    
    Trading Platforms
    
      Electronic Trading
      Over-the-Counter (OTC)
      Mobile Trading
    
    
    Geography
    
      North America
    
        US
        Canada
    
    
      Europe
    
        Germany
        Switzerland
        UK
    
    
      Middle East and Africa
    
        UAE
    
    
      APAC
    
        China
        India
        Japan
    
    
      South America
    
        Brazil
    
    
      Rest of World (ROW)
    

    By Type Insights

    The reporting dealers segment is estimated to witness significant growth during the forecast period.

    The market, a dynamic and ever-evolving financial landscape, is characterized by constant activity and intricate patterns. Participants engage in various trading strategies, employing advanced tools such as stop-loss and take-profit orders on forex trading platforms. Real-time data feeds and order book dynamics facilitate trade execution speed, while market microstructure and slippage minimization techniques ensure efficient transactions. Currency correlation analysis and transaction cost analysis are integral to informed decision-making, with backtesting methodologies providing valuable insights. Currency forwards contracts, position sizing techniques, and forex derivatives pricing are essential components of risk management systems. Carry trade strategies, hedging strategies, and interest rate parity are popular tactics employed by market participants.

    Algorithmic trading strategies, driven by options pricing models and trading algorithms' efficiency, significantly influence price discovery mechanisms. High-frequency trading and volatility modeling contribute to the market's liquidity risk management, while foreign exchange swaps and currency option valuation help manage risk. The market's complexities necessitate sophisticated risk management systems and intricate order routing optimization. Global payments systems facilitate the smooth transfer of funds, and liquidity risk management remains a critical concern for market participants. According to recent studies, The market is estimated to account for approximately USD6 trillion in daily trading volume, und

  20. Data from: National Stock Exchange of India

    • lseg.com
    Updated Aug 19, 2025
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    LSEG (2025). National Stock Exchange of India [Dataset]. https://www.lseg.com/en/data-analytics/financial-data/pricing-and-market-data/equities-market-data/national-stock-exchange-india
    Explore at:
    csv,delimited,gzip,html,json,pcap,pdf,python,text,user interface,xml,zip archiveAvailable download formats
    Dataset updated
    Aug 19, 2025
    Dataset provided by
    London Stock Exchange Grouphttp://www.londonstockexchangegroup.com/
    Authors
    LSEG
    License

    https://www.lseg.com/en/policies/website-disclaimerhttps://www.lseg.com/en/policies/website-disclaimer

    Area covered
    India
    Description

    Gain access to LSEG's National Stock Exchange of India data, India's largest stock exchange with more than 180,000 terminals across 600 districts.

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Statista (2025). Largest point gains of the Dow Jones Average 2025 [Dataset]. https://www.statista.com/statistics/274196/largest-single-day-gains-of-the-dow-jones-index/
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Largest point gains of the Dow Jones Average 2025

Explore at:
Dataset updated
Jul 11, 2025
Dataset authored and provided by
Statistahttp://statista.com/
Area covered
United States
Description

April 9, 2025, saw the largest one-day gain in the history of the Dow Jones Industrial Average (DJIA), follwing Trump's announcement of 90-day delay in the introduction of tariffs imposed on imports from all countries. The second-largest one-day gain occurred on March 24, 2020, with the index increasing ******** points. This occurred approximately two weeks after the largest one-day point loss occurred on March 9, 2020, which was triggered by the growing panic about the coronavirus outbreak worldwide. Index fluctuations The DJIA is an index of ** large companies traded on the New York Stock Exchange. It is one of the numbers that financial analysts watch closely, using it as a bellwether for the United States economy. Seeing when these large gains occur, as well as the largest one-day point losses, gives insight to why these fluctuations may occur. The gains in 2009 are likely adjustments after major losses during the Financial Crisis, but those in 2018 are probably signs of high market volatility. Other leading financial indicators While the DJIA is closely watched, it only gives insight on the performance of thirty leading U.S. companies. An index like the S&P 500, tracking *** companies, can give a more comprehensive overview of the United States economy. Even so, this only reflects investment. Other parts of the economy, such as consumer spending or unemployment rate are not well reflected in stock market indices.

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