82 datasets found
  1. F

    Dow Jones Industrial Average

    • fred.stlouisfed.org
    json
    Updated Jul 18, 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
    Jul 18, 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 2015-07-20 to 2025-07-18 about stock market, average, industry, and USA.

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

    • statista.com
    • ai-chatbox.pro
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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.

  3. Best years in the history of Dow Jones Industrial Average index 1897-2024

    • statista.com
    Updated Jul 16, 2025
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    Statista (2025). Best years in the history of Dow Jones Industrial Average index 1897-2024 [Dataset]. https://www.statista.com/statistics/261785/the-best-years-of-the-dow-jones-index-since-1897/
    Explore at:
    Dataset updated
    Jul 16, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    The statistic shows the best years of the Dow Jones Industrial Average index from 1897 to 2024. The best year in the history of the index was 1915, when the index value increased by ***** percent to close at ***** points compared to ***** in the previous year.

  4. Worst years in the history of Dow Jones Industrial Average index 1897-2024

    • statista.com
    Updated Jan 15, 2025
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    Statista (2025). Worst years in the history of Dow Jones Industrial Average index 1897-2024 [Dataset]. https://www.statista.com/statistics/261787/the-worst-years-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

    There have been ups and downs in the history of the Dow Jones Industrial Average index (DJIA). Some years brought as much as 30 percent of decrease in its value. Great Recession, however, took the largest toll on the Dow. In 1931, the index lost 52.67 percent of its value.

    Index history

    Dow Jones Industrial Average index (DJIA) is one of the most important stock market indices worldwide. It was created in 1896 by Charles Dow and Edward Jones. DJIA is the second oldest U.S. stock index after the Dow Jones Transportation Average, which was established in 1984.

    Index components

    DJIA reflects the performance of thirty large U.S. publicly traded companies. When the index was created, it was primarily composed of industrial companies, hence the index name. With time, the economic situation in the U.S. has changed and apart from industrial companies, which played a huge role in the market in the 19th and the beginning of the 20th century, also companies from other leading industries were incorporated into the index. At present, the DJIA index is composed of most renowned U.S. corporations, such as Coca Cola, Microsoft or Walt Disney.

  5. T

    United States Stock Market Index Data

    • tradingeconomics.com
    • es.tradingeconomics.com
    • +10more
    csv, excel, json, xml
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    TRADING ECONOMICS, United States Stock Market Index Data [Dataset]. https://tradingeconomics.com/united-states/stock-market
    Explore at:
    excel, xml, json, csvAvailable download formats
    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 - Jul 21, 2025
    Area covered
    United States
    Description

    The main stock market index of United States, the US500, rose to 6313 points on July 21, 2025, gaining 0.25% from the previous session. Over the past month, the index has climbed 4.77% and is up 13.45% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks this benchmark index from United States. United States Stock Market Index - values, historical data, forecasts and news - updated on July of 2025.

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

    • statista.com
    • ai-chatbox.pro
    Updated Mar 20, 2023
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    Statista (2023). 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 20, 2023
    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. M

    Dow Jones YTD Performance (1914-2025)

    • macrotrends.net
    csv
    Updated Jun 30, 2025
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    MACROTRENDS (2025). Dow Jones YTD Performance (1914-2025) [Dataset]. https://www.macrotrends.net/2505/dow-jones-ytd-performance
    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
    1914 - 2025
    Area covered
    United States
    Description

    Interactive chart showing the YTD daily performance of the Dow Jones Industrial Average stock market index. Performance is shown as the percentage gain from the last trading day of the previous year.

  8. F

    S&P 500

    • fred.stlouisfed.org
    json
    Updated Jul 21, 2025
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    (2025). S&P 500 [Dataset]. https://fred.stlouisfed.org/series/SP500
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Jul 21, 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.

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

    • statista.com
    Updated Jul 16, 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
    Jul 16, 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.

  10. F

    Dow-Jones Industrial Stock Price Index for United States

    • fred.stlouisfed.org
    json
    Updated Aug 15, 2012
    + more versions
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    (2012). Dow-Jones Industrial Stock Price Index for United States [Dataset]. https://fred.stlouisfed.org/series/M1109BUSM293NNBR
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Aug 15, 2012
    License

    https://fred.stlouisfed.org/legal/#copyright-citation-requiredhttps://fred.stlouisfed.org/legal/#copyright-citation-required

    Area covered
    United States
    Description

    Graph and download economic data for Dow-Jones Industrial Stock Price Index for United States (M1109BUSM293NNBR) from Dec 1914 to Dec 1968 about stock market, industry, price index, indexes, price, and USA.

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

    • statista.com
    Updated Jun 27, 2025
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    Statista (2025). 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 updated
    Jun 27, 2025
    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 ***********.

  12. Dow Jones Industrial Average Index Target Price Prediction (Forecast)

    • kappasignal.com
    Updated Oct 25, 2022
    + more versions
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    KappaSignal (2022). Dow Jones Industrial Average Index Target Price Prediction (Forecast) [Dataset]. https://www.kappasignal.com/2022/10/dow-jones-industrial-average-index_25.html
    Explore at:
    Dataset updated
    Oct 25, 2022
    Dataset authored and provided by
    KappaSignal
    License

    https://www.kappasignal.com/p/legal-disclaimer.htmlhttps://www.kappasignal.com/p/legal-disclaimer.html

    Description

    This analysis presents a rigorous exploration of financial data, incorporating a diverse range of statistical features. By providing a robust foundation, it facilitates advanced research and innovative modeling techniques within the field of finance.

    Dow Jones Industrial Average Index Target Price Prediction

    Financial data:

    • Historical daily stock prices (open, high, low, close, volume)

    • Fundamental data (e.g., market capitalization, price to earnings P/E ratio, dividend yield, earnings per share EPS, price to earnings growth, debt-to-equity ratio, price-to-book ratio, current ratio, free cash flow, projected earnings growth, return on equity, dividend payout ratio, price to sales ratio, credit rating)

    • Technical indicators (e.g., moving averages, RSI, MACD, average directional index, aroon oscillator, stochastic oscillator, on-balance volume, accumulation/distribution A/D line, parabolic SAR indicator, bollinger bands indicators, fibonacci, williams percent range, commodity channel index)

    Machine learning features:

    • Feature engineering based on financial data and technical indicators

    • Sentiment analysis data from social media and news articles

    • Macroeconomic data (e.g., GDP, unemployment rate, interest rates, consumer spending, building permits, consumer confidence, inflation, producer price index, money supply, home sales, retail sales, bond yields)

    Potential Applications:

    • Stock price prediction

    • Portfolio optimization

    • Algorithmic trading

    • Market sentiment analysis

    • Risk management

    Use Cases:

    • Researchers investigating the effectiveness of machine learning in stock market prediction

    • Analysts developing quantitative trading Buy/Sell strategies

    • Individuals interested in building their own stock market prediction models

    • Students learning about machine learning and financial applications

    Additional Notes:

    • The dataset may include different levels of granularity (e.g., daily, hourly)

    • Data cleaning and preprocessing are essential before model training

    • Regular updates are recommended to maintain the accuracy and relevance of the data

  13. Dow Jones: monthly value 1920-1955

    • statista.com
    Updated Aug 9, 2024
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    Statista (2024). Dow Jones: monthly value 1920-1955 [Dataset]. https://www.statista.com/statistics/1249670/monthly-change-value-dow-jones-depression/
    Explore at:
    Dataset updated
    Aug 9, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jan 1920 - Dec 1955
    Area covered
    United States
    Description

    Throughout the 1920s, prices on the U.S. stock exchange rose exponentially, however, by the end of the decade, uncontrolled growth and a stock market propped up by speculation and borrowed money proved unsustainable, resulting in the Wall Street Crash of October 1929. This set a chain of events in motion that led to economic collapse - banks demanded repayment of debts, the property market crashed, and people stopped spending as unemployment rose. Within a year the country was in the midst of an economic depression, and the economy continued on a downward trend until late-1932.

    It was during this time where Franklin D. Roosevelt (FDR) was elected president, and he assumed office in March 1933 - through a series of economic reforms and New Deal policies, the economy began to recover. Stock prices fluctuated at more sustainable levels over the next decades, and developments were in line with overall economic development, rather than the uncontrolled growth seen in the 1920s. Overall, it took over 25 years for the Dow Jones value to reach its pre-Crash peak.

  14. Dow Jones Industrial Average Index assigned short-term B1 & long-term Ba1...

    • kappasignal.com
    Updated Oct 24, 2022
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    KappaSignal (2022). Dow Jones Industrial Average Index assigned short-term B1 & long-term Ba1 forecasted stock rating. (Forecast) [Dataset]. https://www.kappasignal.com/2022/10/dow-jones-industrial-average-index.html
    Explore at:
    Dataset updated
    Oct 24, 2022
    Dataset authored and provided by
    KappaSignal
    License

    https://www.kappasignal.com/p/legal-disclaimer.htmlhttps://www.kappasignal.com/p/legal-disclaimer.html

    Description

    This analysis presents a rigorous exploration of financial data, incorporating a diverse range of statistical features. By providing a robust foundation, it facilitates advanced research and innovative modeling techniques within the field of finance.

    Dow Jones Industrial Average Index assigned short-term B1 & long-term Ba1 forecasted stock rating.

    Financial data:

    • Historical daily stock prices (open, high, low, close, volume)

    • Fundamental data (e.g., market capitalization, price to earnings P/E ratio, dividend yield, earnings per share EPS, price to earnings growth, debt-to-equity ratio, price-to-book ratio, current ratio, free cash flow, projected earnings growth, return on equity, dividend payout ratio, price to sales ratio, credit rating)

    • Technical indicators (e.g., moving averages, RSI, MACD, average directional index, aroon oscillator, stochastic oscillator, on-balance volume, accumulation/distribution A/D line, parabolic SAR indicator, bollinger bands indicators, fibonacci, williams percent range, commodity channel index)

    Machine learning features:

    • Feature engineering based on financial data and technical indicators

    • Sentiment analysis data from social media and news articles

    • Macroeconomic data (e.g., GDP, unemployment rate, interest rates, consumer spending, building permits, consumer confidence, inflation, producer price index, money supply, home sales, retail sales, bond yields)

    Potential Applications:

    • Stock price prediction

    • Portfolio optimization

    • Algorithmic trading

    • Market sentiment analysis

    • Risk management

    Use Cases:

    • Researchers investigating the effectiveness of machine learning in stock market prediction

    • Analysts developing quantitative trading Buy/Sell strategies

    • Individuals interested in building their own stock market prediction models

    • Students learning about machine learning and financial applications

    Additional Notes:

    • The dataset may include different levels of granularity (e.g., daily, hourly)

    • Data cleaning and preprocessing are essential before model training

    • Regular updates are recommended to maintain the accuracy and relevance of the data

  15. Will the Dow Jones Industrial Average Index Rise Today? (Forecast)

    • kappasignal.com
    Updated Aug 10, 2024
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    KappaSignal (2024). Will the Dow Jones Industrial Average Index Rise Today? (Forecast) [Dataset]. https://www.kappasignal.com/2024/08/will-dow-jones-industrial-average-index_10.html
    Explore at:
    Dataset updated
    Aug 10, 2024
    Dataset authored and provided by
    KappaSignal
    License

    https://www.kappasignal.com/p/legal-disclaimer.htmlhttps://www.kappasignal.com/p/legal-disclaimer.html

    Description

    This analysis presents a rigorous exploration of financial data, incorporating a diverse range of statistical features. By providing a robust foundation, it facilitates advanced research and innovative modeling techniques within the field of finance.

    Will the Dow Jones Industrial Average Index Rise Today?

    Financial data:

    • Historical daily stock prices (open, high, low, close, volume)

    • Fundamental data (e.g., market capitalization, price to earnings P/E ratio, dividend yield, earnings per share EPS, price to earnings growth, debt-to-equity ratio, price-to-book ratio, current ratio, free cash flow, projected earnings growth, return on equity, dividend payout ratio, price to sales ratio, credit rating)

    • Technical indicators (e.g., moving averages, RSI, MACD, average directional index, aroon oscillator, stochastic oscillator, on-balance volume, accumulation/distribution A/D line, parabolic SAR indicator, bollinger bands indicators, fibonacci, williams percent range, commodity channel index)

    Machine learning features:

    • Feature engineering based on financial data and technical indicators

    • Sentiment analysis data from social media and news articles

    • Macroeconomic data (e.g., GDP, unemployment rate, interest rates, consumer spending, building permits, consumer confidence, inflation, producer price index, money supply, home sales, retail sales, bond yields)

    Potential Applications:

    • Stock price prediction

    • Portfolio optimization

    • Algorithmic trading

    • Market sentiment analysis

    • Risk management

    Use Cases:

    • Researchers investigating the effectiveness of machine learning in stock market prediction

    • Analysts developing quantitative trading Buy/Sell strategies

    • Individuals interested in building their own stock market prediction models

    • Students learning about machine learning and financial applications

    Additional Notes:

    • The dataset may include different levels of granularity (e.g., daily, hourly)

    • Data cleaning and preprocessing are essential before model training

    • Regular updates are recommended to maintain the accuracy and relevance of the data

  16. T

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

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Jun 7, 2017
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    TRADING ECONOMICS (2017). United States Stock Market Index (US30) - Index Price | Live Quote | Historical Chart [Dataset]. https://tradingeconomics.com/indu:ind
    Explore at:
    json, xml, excel, csvAvailable download formats
    Dataset updated
    Jun 7, 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
    Jan 1, 2000 - Jul 21, 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 July 21 of 2025.

  17. Largest point gains of the Dow Jones Average 2025

    • statista.com
    Updated Nov 7, 2014
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    Statista (2014). 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
    Nov 7, 2014
    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.

  18. Will the Dow Jones Industrial Average Index Soar or Sink? (Forecast)

    • kappasignal.com
    Updated Oct 19, 2024
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    KappaSignal (2024). Will the Dow Jones Industrial Average Index Soar or Sink? (Forecast) [Dataset]. https://www.kappasignal.com/2024/10/will-dow-jones-industrial-average-index.html
    Explore at:
    Dataset updated
    Oct 19, 2024
    Dataset authored and provided by
    KappaSignal
    License

    https://www.kappasignal.com/p/legal-disclaimer.htmlhttps://www.kappasignal.com/p/legal-disclaimer.html

    Description

    This analysis presents a rigorous exploration of financial data, incorporating a diverse range of statistical features. By providing a robust foundation, it facilitates advanced research and innovative modeling techniques within the field of finance.

    Will the Dow Jones Industrial Average Index Soar or Sink?

    Financial data:

    • Historical daily stock prices (open, high, low, close, volume)

    • Fundamental data (e.g., market capitalization, price to earnings P/E ratio, dividend yield, earnings per share EPS, price to earnings growth, debt-to-equity ratio, price-to-book ratio, current ratio, free cash flow, projected earnings growth, return on equity, dividend payout ratio, price to sales ratio, credit rating)

    • Technical indicators (e.g., moving averages, RSI, MACD, average directional index, aroon oscillator, stochastic oscillator, on-balance volume, accumulation/distribution A/D line, parabolic SAR indicator, bollinger bands indicators, fibonacci, williams percent range, commodity channel index)

    Machine learning features:

    • Feature engineering based on financial data and technical indicators

    • Sentiment analysis data from social media and news articles

    • Macroeconomic data (e.g., GDP, unemployment rate, interest rates, consumer spending, building permits, consumer confidence, inflation, producer price index, money supply, home sales, retail sales, bond yields)

    Potential Applications:

    • Stock price prediction

    • Portfolio optimization

    • Algorithmic trading

    • Market sentiment analysis

    • Risk management

    Use Cases:

    • Researchers investigating the effectiveness of machine learning in stock market prediction

    • Analysts developing quantitative trading Buy/Sell strategies

    • Individuals interested in building their own stock market prediction models

    • Students learning about machine learning and financial applications

    Additional Notes:

    • The dataset may include different levels of granularity (e.g., daily, hourly)

    • Data cleaning and preprocessing are essential before model training

    • Regular updates are recommended to maintain the accuracy and relevance of the data

  19. M

    Dow Market Cap 2017-2025 | DOW

    • macrotrends.net
    csv
    Updated Jun 30, 2025
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    MACROTRENDS (2025). Dow Market Cap 2017-2025 | DOW [Dataset]. https://www.macrotrends.net/stocks/charts/DOW/dow/market-cap
    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
    2010 - 2025
    Area covered
    United States
    Description

    Dow market cap as of June 14, 2025 is $19.87B. Dow market cap history and chart from 2017 to 2025. Market capitalization (or market value) is the most commonly used method of measuring the size of a publicly traded company and is calculated by multiplying the current stock price by the number of shares outstanding.

  20. Daily Dow Jones Industrial Average index performance 2022-2025

    • statista.com
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    Statista, Daily Dow Jones Industrial Average index performance 2022-2025 [Dataset]. https://www.statista.com/statistics/1332259/performance-of-djia-index-daily/
    Explore at:
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jan 3, 2022 - Mar 3, 2025
    Area covered
    United States
    Description

    The Dow Jones Industrial Average (DJI) index increased overall between January 2022 and April 2024. Between January 4 and June 17, 2022, the index dropped nearly ***** points. It then managed to recover to ********* points as of August 16, 2022, but started a sharp decrease again afterwards. As of March 3, 2025, the index stood at ********* points.

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(2025). Dow Jones Industrial Average [Dataset]. https://fred.stlouisfed.org/series/DJIA

Dow Jones Industrial Average

DJIA

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31 scholarly articles cite this dataset (View in Google Scholar)
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Dataset updated
Jul 18, 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 2015-07-20 to 2025-07-18 about stock market, average, industry, and USA.

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