100+ 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/
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    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/
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    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. T

    United States Stock Market Index Data

    • tradingeconomics.com
    • ar.tradingeconomics.com
    • +12more
    csv, excel, json, xml
    Updated Dec 2, 2025
    + more versions
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    TRADING ECONOMICS (2025). United States Stock Market Index Data [Dataset]. https://tradingeconomics.com/united-states/stock-market
    Explore at:
    excel, xml, json, csvAvailable 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
    Jan 3, 1928 - Dec 2, 2025
    Area covered
    United States
    Description

    The main stock market index of United States, the US500, rose to 6818 points on December 2, 2025, gaining 0.08% from the previous session. Over the past month, the index has declined 0.50%, though it remains 12.70% higher than a year ago, 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 December of 2025.

  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. 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/
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    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.

  7. F

    Dow Jones Industrial Average

    • fred.stlouisfed.org
    json
    Updated Dec 1, 2025
    + more versions
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    (2025). Dow Jones Industrial Average [Dataset]. https://fred.stlouisfed.org/series/DJIA
    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

    Graph and download economic data for Dow Jones Industrial Average (DJIA) from 2015-12-02 to 2025-12-01 about stock market, average, industry, and USA.

  8. 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.

  9. 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.

  10. T

    Japan Stock Market Index (JP225) Data

    • tradingeconomics.com
    • ko.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Dec 2, 2025
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    TRADING ECONOMICS (2025). Japan Stock Market Index (JP225) Data [Dataset]. https://tradingeconomics.com/japan/stock-market
    Explore at:
    excel, csv, xml, 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
    Jan 5, 1965 - Dec 2, 2025
    Area covered
    Japan
    Description

    Japan's main stock market index, the JP225, rose to 49553 points on December 2, 2025, gaining 0.51% from the previous session. Over the past month, the index has declined 3.78%, though it remains 26.25% higher than a year ago, according to trading on a contract for difference (CFD) that tracks this benchmark index from Japan. Japan Stock Market Index (JP225) - values, historical data, forecasts and news - updated on December of 2025.

  11. 💱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="">

  12. Stock Market Dataset (NIFTY-500)

    • kaggle.com
    zip
    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:
    zip(35684 bytes)Available download formats
    Dataset updated
    Jun 10, 2023
    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 ...

  13. 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.

  14. T

    United States Stock Market Index (US30) - Index Price | Live Quote |...

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Dec 2, 2025
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    TRADING ECONOMICS (2025). United States Stock Market Index (US30) - Index Price | Live Quote | Historical Chart | Trading Economics [Dataset]. https://tradingeconomics.com/indu:ind
    Explore at:
    json, xml, excel, csvAvailable 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
    Jan 1, 2000 - Dec 2, 2025
    Area covered
    United States
    Description

    Prices for United States Stock Market Index (US30) including live quotes, historical charts and news. United States Stock Market Index (US30) was last updated by Trading Economics this December 2 of 2025.

  15. 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?

  16. 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…

  17. y

    S&P 500 1 Year Return

    • ycharts.com
    html
    Updated Nov 5, 2025
    + more versions
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    Standard and Poor's (2025). S&P 500 1 Year Return [Dataset]. https://ycharts.com/indicators/sp_500_1_year_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 1 Year Return
    Description

    View monthly updates and historical trends for S&P 500 1 Year Return. from United States. Source: Standard and Poor's. Track economic data with YCharts an…

  18. Toronto Stock Exchange statistics

    • www150.statcan.gc.ca
    • open.canada.ca
    • +2more
    Updated Nov 1, 2023
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    Government of Canada, Statistics Canada (2023). Toronto Stock Exchange statistics [Dataset]. http://doi.org/10.25318/1010012501-eng
    Explore at:
    Dataset updated
    Nov 1, 2023
    Dataset provided by
    Statistics Canadahttps://statcan.gc.ca/en
    Area covered
    Canada
    Description

    This table contains 25 series, with data for years 1956 - present (not all combinations necessarily have data for all years). This table contains data described by the following dimensions (Not all combinations are available): Geography (1 items: Canada ...), Toronto Stock Exchange Statistics (25 items: Standard and Poor's/Toronto Stock Exchange Composite Index; high; Standard and Poor's/Toronto Stock Exchange Composite Index; close; Toronto Stock Exchange; oil and gas; closing quotations; Standard and Poor's/Toronto Stock Exchange Composite Index; low ...).

  19. 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/
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    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.

  20. T

    France Stock Market Index (FR40) Data

    • tradingeconomics.com
    • pl.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Dec 2, 2025
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    TRADING ECONOMICS (2025). France Stock Market Index (FR40) Data [Dataset]. https://tradingeconomics.com/france/stock-market
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    json, xml, csv, 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
    Jul 9, 1987 - Dec 2, 2025
    Area covered
    France
    Description

    France's main stock market index, the FR40, rose to 8121 points on December 2, 2025, gaining 0.29% from the previous session. Over the past month, the index has climbed 0.13% and is up 11.93% 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 December of 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/
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Largest point gains of the Dow Jones Average 2025

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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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