100+ datasets found
  1. 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.

  2. T

    United States Stock Market Index Data

    • tradingeconomics.com
    • ar.tradingeconomics.com
    • +12more
    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 - Jun 30, 2025
    Area covered
    United States
    Description

    The main stock market index of United States, the US500, rose to 6201 points on June 30, 2025, gaining 0.44% from the previous session. Over the past month, the index has climbed 4.46% and is up 13.25% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks this benchmark index from United States. United States Stock Market Index - values, historical data, forecasts and news - updated on June of 2025.

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

    • statista.com
    • ai-chatbox.pro
    Updated Jun 26, 2025
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    Statista (2025). Monthly development Dow Jones Industrial Average Index 2018-2025 [Dataset]. https://www.statista.com/statistics/261690/monthly-performance-of-djia-index/
    Explore at:
    Dataset updated
    Jun 26, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jan 2018 - Mar 2025
    Area covered
    United States
    Description

    The value of the DJIA index amounted to ********* at the end of March 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.

  4. S&P 500 performance during major crashes as of August 2020

    • statista.com
    Updated Jan 11, 2022
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    Statista (2022). S&P 500 performance during major crashes as of August 2020 [Dataset]. https://www.statista.com/statistics/1175227/s-and-p-500-major-crashes-change/
    Explore at:
    Dataset updated
    Jan 11, 2022
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    As of August 2020, the S&P 500 index had lost 34 percent of its value due to the COVID-19 pandemic. However, the Great Crash, which began with Black Tuesday, remains the most significant loss in value in its history. That market crash lasted for 300 months and wiped 86 percent off the index value.

  5. M

    Dow Jones - 10 Year Daily Chart

    • macrotrends.net
    csv
    Updated Jun 30, 2025
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    MACROTRENDS (2025). Dow Jones - 10 Year Daily Chart [Dataset]. https://www.macrotrends.net/1358/dow-jones-industrial-average-last-10-years
    Explore at:
    csvAvailable download formats
    Dataset updated
    Jun 30, 2025
    Dataset authored and provided by
    MACROTRENDS
    License

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

    Time period covered
    1915 - 2025
    Area covered
    United States
    Description

    Interactive chart illustrating the performance of the Dow Jones Industrial Average (DJIA) market index over the last ten years. Each point of the stock market graph is represented by the daily closing price for the DJIA. Historical data can be downloaded via the red button on the upper left corner of the chart.

  6. F

    S&P 500

    • fred.stlouisfed.org
    json
    Updated Jun 27, 2025
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    (2025). S&P 500 [Dataset]. https://fred.stlouisfed.org/series/SP500
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Jun 27, 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.

  7. T

    United States - Stock Market Return (%, Year-on-year)

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Jun 8, 2017
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    TRADING ECONOMICS (2017). United States - Stock Market Return (%, Year-on-year) [Dataset]. https://tradingeconomics.com/united-states/stock-market-return-percent-year-on-year-wb-data.html
    Explore at:
    csv, json, excel, xmlAvailable download formats
    Dataset updated
    Jun 8, 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, 1976 - Dec 31, 2025
    Area covered
    United States
    Description

    Stock market return (%, year-on-year) in United States was reported at 32.65 % in 2021, according to the World Bank collection of development indicators, compiled from officially recognized sources. United States - Stock market return (%, year-on-year) - actual values, historical data, forecasts and projections were sourced from the World Bank on June of 2025.

  8. Effect of coronavirus on the U.S. stock market by sector 2020-2021

    • statista.com
    Updated Nov 14, 2021
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    Statista (2021). Effect of coronavirus on the U.S. stock market by sector 2020-2021 [Dataset]. https://www.statista.com/statistics/1251713/effect-coronavirus-stock-market-sector-usa/
    Explore at:
    Dataset updated
    Nov 14, 2021
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jan 5, 2020 - Nov 14, 2021
    Area covered
    United States
    Description

    As of November 14, 2021, all S&P 500 sector indices had recovered to levels above those of January 2020, prior to full economic effects of the global coronavirus (COVID-19) pandemic taking hold. However, different sectors recovered at different rates to sit at widely different levels above their pre-pandemic levels. This suggests that the effect of the coronavirus on financial markets in the United States is directly affected by how the virus has impacted various parts of the underlying economy. Which industry performed the best during the coronavirus pandemic? Companies operating in the information technology (IT) sector have been the clear winners from the pandemic, with the IT S&P 500 sector index sitting at almost ** percent above early 2020 levels as of November 2021. This is perhaps not surprising given this industry includes some of the companies who benefitted the most from the pandemic such as ************** and *******. The reason for these companies’ success is clear – as shops were shuttered and social gatherings heavily restricted due to the pandemic, online services such shopping and video streaming were in high demand. The success of the IT sector is also reflected in the performance of global share markets during the coronavirus pandemic, with tech-heavy NASDAQ being the best performing major market worldwide. Which industry performed the worst during the pandemic? Conversely, energy companies fared the worst during the pandemic, with the S&P 500 sector index value sitting below its early 2020 value as late as July 2021. Since then it has somewhat recovered, and was around ** percent above January 2020 levels as of October 2021. This reflects the fact that many oil companies were among the share prices suffering the largest declines over 2020. A primary driver for this was falling demand for fuel in line with the reduction in tourism and commuting caused by lockdowns all over the world. However, as increasing COVID-19 vaccination rates throughout 2021 led to lockdowns being lifted and global tourism reopening, demand has again risen - reflected by the recent increase in the S&P 500 energy index.

  9. M

    S&P 500 - 100 Year Historical Chart

    • macrotrends.net
    csv
    Updated Jun 30, 2025
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    MACROTRENDS (2025). S&P 500 - 100 Year Historical Chart [Dataset]. https://www.macrotrends.net/2324/sp-500-historical-chart-data
    Explore at:
    csvAvailable download formats
    Dataset updated
    Jun 30, 2025
    Dataset authored and provided by
    MACROTRENDS
    License

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

    Time period covered
    1915 - 2025
    Area covered
    United States
    Description

    Interactive chart of the S&P 500 stock market index since 1927. Historical data is inflation-adjusted using the headline CPI and each data point represents the month-end closing value. The current month is updated on an hourly basis with today's latest value.

  10. M

    Dow Jones - 100 Year Historical Chart

    • macrotrends.net
    csv
    Updated Jun 30, 2025
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    MACROTRENDS (2025). Dow Jones - 100 Year Historical Chart [Dataset]. https://www.macrotrends.net/1319/dow-jones-100-year-historical-chart
    Explore at:
    csvAvailable download formats
    Dataset updated
    Jun 30, 2025
    Dataset authored and provided by
    MACROTRENDS
    License

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

    Time period covered
    1915 - 2025
    Area covered
    United States
    Description

    Interactive chart of the Dow Jones Industrial Average (DJIA) stock market index for the last 100 years. Historical data is inflation-adjusted using the headline CPI and each data point represents the month-end closing value. The current month is updated on an hourly basis with today's latest value.

  11. Tech Giants Stock Market Data (2020-2023): Raw & P

    • kaggle.com
    Updated Jan 29, 2025
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    Fijabi J. Adekunle (2025). Tech Giants Stock Market Data (2020-2023): Raw & P [Dataset]. https://www.kaggle.com/datasets/jeleeladekunlefijabi/tech-giants-stock-market-data-raw
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Jan 29, 2025
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Fijabi J. Adekunle
    License

    MIT Licensehttps://opensource.org/licenses/MIT
    License information was derived automatically

    Description

    This dataset is an enhanced version of the raw stock data, including additional calculated columns such as daily returns, moving averages (7-day, 30-day), and cumulative returns. It provides deeper insights into stock performance over time.

    Call to Action If you find this dataset useful, upvote and share! Feel free to use it for your own financial analysis projects. Drop a comment if you have insights or suggestions.

  12. M

    S&P 500 - 10 Year Daily Chart

    • macrotrends.net
    csv
    Updated Jun 30, 2025
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    MACROTRENDS (2025). S&P 500 - 10 Year Daily Chart [Dataset]. https://www.macrotrends.net/2488/sp500-10-year-daily-chart
    Explore at:
    csvAvailable download formats
    Dataset updated
    Jun 30, 2025
    Dataset authored and provided by
    MACROTRENDS
    License

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

    Time period covered
    1915 - 2025
    Area covered
    United States
    Description

    Interactive chart of the S&P 500 stock market index over the last 10 years. Values shown are daily closing prices. The most recent value is updated on an hourly basis during regular trading hours.

  13. T

    United Kingdom Stock Market Index (GB100) Data

    • tradingeconomics.com
    • ko.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Jun 27, 2025
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    TRADING ECONOMICS (2025). United Kingdom Stock Market Index (GB100) Data [Dataset]. https://tradingeconomics.com/united-kingdom/stock-market
    Explore at:
    excel, xml, json, csvAvailable download formats
    Dataset updated
    Jun 27, 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, 1984 - Jun 27, 2025
    Area covered
    United Kingdom
    Description

    United Kingdom's main stock market index, the GB100, rose to 8799 points on June 27, 2025, gaining 0.72% from the previous session. Over the past month, the index has climbed 0.84% and is up 7.78% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks this benchmark index from United Kingdom. United Kingdom Stock Market Index (GB100) - values, historical data, forecasts and news - updated on June of 2025.

  14. Effect of coronavirus on major global stock indices 2020-2021

    • statista.com
    Updated Dec 11, 2023
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    Statista (2023). Effect of coronavirus on major global stock indices 2020-2021 [Dataset]. https://www.statista.com/statistics/1251618/effect-coronavirus-major-global-stock-indices/
    Explore at:
    Dataset updated
    Dec 11, 2023
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jan 5, 2020 - Nov 14, 2021
    Area covered
    Worldwide
    Description

    While the global coronavirus (COVID-19) pandemic caused all major stock market indices to fall sharply in March 2020, both the extent of the decline at this time, and the shape of the subsequent recovery, have varied greatly. For example, on March 15, 2020, major European markets and traditional stocks in the United States had shed around 40 percent of their value compared to January 5, 2020. However, Asian markets and the NASDAQ Composite Index only shed around 20 to 25 percent of their value. A similar story can be seen with the post-coronavirus recovery. As of November 14, 2021 the NASDAQ composite index value was around 65 percent higher than in January 2020, while most other markets were only between 20 and 40 percent higher.

    Why did the NASDAQ recover the quickest?

    Based in New York City, the NASDAQ is famously considered a proxy for the technology industry as many of the world’s largest technology industries choose to list there. And it just so happens that technology was the sector to perform the best during the coronavirus pandemic. Accordingly, many of the largest companies who benefitted the most from the pandemic such as Amazon, PayPal and Netflix, are listed on the NADSAQ, helping it to recover the fastest of the major stock exchanges worldwide.

    Which markets suffered the most?

    The energy sector was the worst hit by the global COVID-19 pandemic. In particular, oil companies share prices suffered large declines over 2020 as demand for oil plummeted while workers found themselves no longer needing to commute, and the tourism industry ground to a halt. In addition, overall share prices in two major stock exchanges – the London Stock Exchange (as represented by the FTSE 100 index) and Hong Kong (as represented by the Hang Seng index) – have notably recovered slower than other major exchanges. However, in both these, the underlying issue behind the slower recovery likely has more to do with political events unrelated to the coronavirus than it does with the pandemic – namely Brexit and general political unrest, respectively.

  15. Finance Data (S&P 500)

    • kaggle.com
    Updated Jul 21, 2020
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    Nandan Pandey (2020). Finance Data (S&P 500) [Dataset]. https://www.kaggle.com/awadhi123/finance-data-sp-500/code
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Jul 21, 2020
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Nandan Pandey
    Description

    Content

    It's a time series dataset of SP500.
    The S&P 500, or simply the S&P, is a stock market index that measures the stock performance of 500 large companies listed on stock exchanges in the United States. It is one of the most commonly followed equity indices, and many consider it to be one of the best representations of the U.S. stock market.


    Date: Date of the Stock Data Close/Last: Last close price of the company's shares on the relevant stock exchange Volume: Number of shares sold, traded over a certain period of time (Usually Daily) Open: Opening price of company's shares High: Highest price at which a stock traded during the trading day Low: Lowest price at which a stock traded during the trading day

    Inspiration

    Perform time series analysis concept on real world scenario and forecast future stock price on real world data and gain some knowledge.
    Have a fun !!!

  16. Monthly development NYSE Composite Index 2018-2024

    • statista.com
    Updated Feb 28, 2025
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    Statista (2025). Monthly development NYSE Composite Index 2018-2024 [Dataset]. https://www.statista.com/statistics/1330148/nyse-us-composite-index-monthly-development/
    Explore at:
    Dataset updated
    Feb 28, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jan 2018 - Dec 2024
    Area covered
    United States
    Description

    The NYSE Composite Index is a stock market index that the tracks the performance of all common stocks listed on the New York Stock Exchange. Since 2018, the NYSE Composite Index has reached its lowest value following the beginning of the COVID-19 pandemic. In March 2020, the index dropped to a level of 10,301.87 points. After reaching the lowest point, the index increased throughout 2020 and 2021, peaking at 17,164.13 points in December 2021. Since then, it has fluctuated significantly and reached 19,097.1 as of December 2024.

  17. M

    NASDAQ Composite - Historical Chart

    • macrotrends.net
    csv
    Updated Jun 30, 2025
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    MACROTRENDS (2025). NASDAQ Composite - Historical Chart [Dataset]. https://www.macrotrends.net/1320/nasdaq-historical-chart
    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
    1971 - 2025
    Area covered
    United States
    Description

    Interactive chart of the NASDAQ Composite stock market index since 1971. Historical data is inflation-adjusted using the headline CPI and each data point represents the month-end closing value. The current month is updated on an hourly basis with today's latest value.

  18. A

    ‘Time Series Forecasting with Yahoo Stock Price ’ analyzed by Analyst-2

    • analyst-2.ai
    Updated Jan 28, 2022
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    Analyst-2 (analyst-2.ai) / Inspirient GmbH (inspirient.com) (2022). ‘Time Series Forecasting with Yahoo Stock Price ’ analyzed by Analyst-2 [Dataset]. https://analyst-2.ai/analysis/kaggle-time-series-forecasting-with-yahoo-stock-price-9e5c/d6d871c7/?iid=002-651&v=presentation
    Explore at:
    Dataset updated
    Jan 28, 2022
    Dataset authored and provided by
    Analyst-2 (analyst-2.ai) / Inspirient GmbH (inspirient.com)
    License

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

    Description

    Analysis of ‘Time Series Forecasting with Yahoo Stock Price ’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://www.kaggle.com/arashnic/time-series-forecasting-with-yahoo-stock-price on 28 January 2022.

    --- Dataset description provided by original source is as follows ---

    Context

    Stocks and financial instrument trading is a lucrative proposition. Stock markets across the world facilitate such trades and thus wealth exchanges hands. Stock prices move up and down all the time and having ability to predict its movement has immense potential to make one rich. Stock price prediction has kept people interested from a long time. There are hypothesis like the Efficient Market Hypothesis, which says that it is almost impossible to beat the market consistently and there are others which disagree with it.

    There are a number of known approaches and new research going on to find the magic formula to make you rich. One of the traditional methods is the time series forecasting. Fundamental analysis is another method where numerous performance ratios are analyzed to assess a given stock. On the emerging front, there are neural networks, genetic algorithms, and ensembling techniques.

    Another challenging problem in stock price prediction is Black Swan Event, unpredictable events that cause stock market turbulence. These are events that occur from time to time, are unpredictable and often come with little or no warning.

    A black swan event is an event that is completely unexpected and cannot be predicted. Unexpected events are generally referred to as black swans when they have significant consequences, though an event with few consequences might also be a black swan event. It may or may not be possible to provide explanations for the occurrence after the fact – but not before. In complex systems, like economies, markets and weather systems, there are often several causes. After such an event, many of the explanations for its occurrence will be overly simplistic.

    #
    #

    https://www.visualcapitalist.com/wp-content/uploads/2020/03/mm3_black_swan_events_shareable.jpg"> #
    #
    New bleeding age state-of-the-art deep learning models stock predictions is overcoming such obstacles e.g. "Transformer and Time Embeddings". An objectives are to apply these novel models to forecast stock price.

    Content

    Stock price prediction is the task of forecasting the future value of a given stock. Given the historical daily close price for S&P 500 Index, prepare and compare forecasting solutions. S&P 500 or Standard and Poor's 500 index is an index comprising of 500 stocks from different sectors of US economy and is an indicator of US equities. Other such indices are the Dow 30, NIFTY 50, Nikkei 225, etc. For the purpose of understanding, we are utilizing S&P500 index, concepts, and knowledge can be applied to other stocks as well.

    Dataset

    The historical stock price information is also publicly available. For our current use case, we will utilize the pandas_datareader library to get the required S&P 500 index history using Yahoo Finance databases. We utilize the closing price information from the dataset available though other information such as opening price, adjusted closing price, etc., are also available. We prepare a utility function get_raw_data() to extract required information in a pandas dataframe. The function takes index ticker name as input. For S&P 500 index, the ticker name is ^GSPC. The following snippet uses the utility function to get the required data.(See Simple LSTM Regression)

    Features and Terminology: In stock trading, the high and low refer to the maximum and minimum prices in a given time period. Open and close are the prices at which a stock began and ended trading in the same period. Volume is the total amount of trading activity. Adjusted values factor in corporate actions such as dividends, stock splits, and new share issuance.

    Starter Kernel(s)

    Acknowledgements

    Mining and updating of this dateset will depend upon Yahoo Finance .

    Inspiration

    Sort of variation of sequence modeling and bleeding age e.g. attention can be applied for research and forecasting

    Some Readings

    *If you download and find the data useful your upvote is an explicit feedback for future works*

    --- Original source retains full ownership of the source dataset ---

  19. T

    China Shanghai Composite Stock Market Index Data

    • tradingeconomics.com
    • jp.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Jun 27, 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
    Jun 27, 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 - Jun 27, 2025
    Area covered
    China
    Description

    China's main stock market index, the SHANGHAI, fell to 3424 points on June 27, 2025, losing 0.70% from the previous session. Over the past month, the index has climbed 2.52% and is up 15.39% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks this benchmark index from China. China Shanghai Composite Stock Market Index - values, historical data, forecasts and news - updated on June of 2025.

  20. Predicted stock market performance over next year in the U.S. August 2020

    • statista.com
    Updated May 23, 2022
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    Statista (2022). Predicted stock market performance over next year in the U.S. August 2020 [Dataset]. https://www.statista.com/statistics/1179546/stock-market-expectations-usa/
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    Dataset updated
    May 23, 2022
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Aug 9, 2020 - Aug 11, 2020
    Area covered
    United States
    Description

    In an August 2020 survey, almost 30 percent of the respondents said that they expect the stock market to increase in value by August 2021. However, a slightly higher percentage said that they weren't sure. The stock markets took a hit at the start of the COVID-19 pandemic, but had recovered by the time of this survey.

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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/
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Weekly development Dow Jones Industrial Average Index 2020-2025

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3 scholarly articles cite this dataset (View in Google Scholar)
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.

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