72 datasets found
  1. F

    Dow Jones Industrial Average

    • fred.stlouisfed.org
    json
    Updated Jul 11, 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 11, 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 2015-07-13 to 2025-07-11 about stock market, average, industry, and USA.

  2. M

    Alphabet - 21 Year Stock Price History | GOOGL

    • macrotrends.net
    csv
    Updated Jun 30, 2025
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    MACROTRENDS (2025). Alphabet - 21 Year Stock Price History | GOOGL [Dataset]. https://www.macrotrends.net/stocks/charts/GOOGL/alphabet/stock-price-history
    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

    The latest closing stock price for Alphabet as of June 18, 2025 is 173.86. An investor who bought $1,000 worth of Alphabet stock at the IPO in 2004 would have $68,661 today, roughly 69 times their original investment - a 22.39% compound annual growth rate over 21 years. The all-time high Alphabet stock closing price was 205.89 on February 04, 2025. The Alphabet 52-week high stock price is 207.05, which is 19.1% above the current share price. The Alphabet 52-week low stock price is 140.53, which is 19.2% below the current share price. The average Alphabet stock price for the last 52 weeks is 172.15. For more information on how our historical price data is adjusted see the Stock Price Adjustment Guide.

  3. 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/
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    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.

  4. M

    Microsoft - 39 Year Stock Price History | MSFT

    • macrotrends.net
    csv
    Updated Jun 30, 2025
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    MACROTRENDS (2025). Microsoft - 39 Year Stock Price History | MSFT [Dataset]. https://www.macrotrends.net/stocks/charts/MSFT/microsoft/stock-price-history
    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

    The latest closing stock price for Microsoft as of June 18, 2025 is 480.24. An investor who bought $1,000 worth of Microsoft stock at the IPO in 1986 would have $8,056,718 today, roughly 8,057 times their original investment - a 25.94% compound annual growth rate over 39 years. The all-time high Microsoft stock closing price was 480.24 on June 18, 2025. The Microsoft 52-week high stock price is 481.00, which is 0.2% above the current share price. The Microsoft 52-week low stock price is 344.79, which is 28.2% below the current share price. The average Microsoft stock price for the last 52 weeks is 422.77. For more information on how our historical price data is adjusted see the Stock Price Adjustment Guide.

  5. F

    Median Sales Price of Houses Sold for the United States

    • fred.stlouisfed.org
    json
    Updated Apr 23, 2025
    + more versions
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    (2025). Median Sales Price of Houses Sold for the United States [Dataset]. https://fred.stlouisfed.org/series/MSPUS
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Apr 23, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Area covered
    United States
    Description

    Graph and download economic data for Median Sales Price of Houses Sold for the United States (MSPUS) from Q1 1963 to Q1 2025 about sales, median, housing, and USA.

  6. T

    United Kingdom Stock Market Index (GB100) Data

    • tradingeconomics.com
    • ko.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Jun 13, 2025
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    TRADING ECONOMICS, 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 13, 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 - Jul 11, 2025
    Area covered
    United Kingdom
    Description

    United Kingdom's main stock market index, the GB100, fell to 8941 points on July 11, 2025, losing 0.38% from the previous session. Over the past month, the index has climbed 0.63% and is up 8.34% 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 July of 2025.

  7. S&P 500 stock data

    • kaggle.com
    zip
    Updated Aug 11, 2017
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    Cam Nugent (2017). S&P 500 stock data [Dataset]. https://www.kaggle.com/camnugent/sandp500
    Explore at:
    zip(31994392 bytes)Available download formats
    Dataset updated
    Aug 11, 2017
    Authors
    Cam Nugent
    License

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

    Description

    Context

    Stock market data can be interesting to analyze and as a further incentive, strong predictive models can have large financial payoff. The amount of financial data on the web is seemingly endless. A large and well structured dataset on a wide array of companies can be hard to come by. Here I provide a dataset with historical stock prices (last 5 years) for all companies currently found on the S&P 500 index.

    The script I used to acquire all of these .csv files can be found in this GitHub repository In the future if you wish for a more up to date dataset, this can be used to acquire new versions of the .csv files.

    Content

    The data is presented in a couple of formats to suit different individual's needs or computational limitations. I have included files containing 5 years of stock data (in the all_stocks_5yr.csv and corresponding folder) and a smaller version of the dataset (all_stocks_1yr.csv) with only the past year's stock data for those wishing to use something more manageable in size.

    The folder individual_stocks_5yr contains files of data for individual stocks, labelled by their stock ticker name. The all_stocks_5yr.csv and all_stocks_1yr.csv contain this same data, presented in merged .csv files. Depending on the intended use (graphing, modelling etc.) the user may prefer one of these given formats.

    All the files have the following columns: Date - in format: yy-mm-dd Open - price of the stock at market open (this is NYSE data so all in USD) High - Highest price reached in the day Low Close - Lowest price reached in the day Volume - Number of shares traded Name - the stock's ticker name

    Acknowledgements

    I scraped this data from Google finance using the python library 'pandas_datareader'. Special thanks to Kaggle, Github and The Market.

    Inspiration

    This dataset lends itself to a some very interesting visualizations. One can look at simple things like how prices change over time, graph an compare multiple stocks at once, or generate and graph new metrics from the data provided. From these data informative stock stats such as volatility and moving averages can be easily calculated. The million dollar question is: can you develop a model that can beat the market and allow you to make statistically informed trades!

  8. Annual returns of Nasdaq 100 Index 1986-2024

    • statista.com
    Updated Jun 27, 2025
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    Annual returns of Nasdaq 100 Index 1986-2024 [Dataset]. https://www.statista.com/statistics/1330833/nasdaq-100-index-annual-returns/
    Explore at:
    Dataset updated
    Jun 27, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    The annual returns of the Nasdaq 100 Index from 1986 to 2024. fluctuated significantly throughout the period considered. The Nasdaq 100 index saw its lowest performance in 2008, with a return rate of ****** percent, while the largest returns were registered in 1999, at ****** percent. As of June 11, 2024, the rate of return of Nasdaq 100 Index stood at ** percent. The Nasdaq 100 is a stock market index comprised of the 100 largest and most actively traded non-financial companies listed on the Nasdaq stock exchange. How has the Nasdaq 100 evolved over years? The Nasdaq 100, which was previously heavily influenced by tech companies during the dot-com boom, has undergone significant diversification. Today, it represents a broader range of high-growth, non-financial companies across sectors like consumer services and healthcare, reflecting the evolving landscape of the global economy. The annual development of the Nasdaq 100 recently has generally been positive, except for 2022, when the NASDAQ experienced a decline due to worries about escalating inflation, interest rates, and regulatory challenges. What are the leading companies on Nasdaq 100? In August 2023, ***** was the largest company on the Nasdaq 100, with a market capitalization of **** trillion euros. Also, ****************************************** were among the five leading companies included in the index. Market capitalization is one of the most common ways of measuring how big a company is in the financial markets. It is calculated by multiplying the total number of outstanding shares by the current market price.

  9. T

    India - Stock Market Return (%, Year-on-year)

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Jul 1, 2017
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    TRADING ECONOMICS (2017). India - Stock Market Return (%, Year-on-year) [Dataset]. https://tradingeconomics.com/india/stock-market-return-percent-year-on-year-wb-data.html
    Explore at:
    excel, json, xml, csvAvailable download formats
    Dataset updated
    Jul 1, 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
    India
    Description

    Stock market return (%, year-on-year) in India was reported at 21.5 % in 2021, according to the World Bank collection of development indicators, compiled from officially recognized sources. India - Stock market return (%, year-on-year) - actual values, historical data, forecasts and projections were sourced from the World Bank on July of 2025.

  10. M

    Exxon - 41 Year Stock Price History | XOM

    • macrotrends.net
    csv
    Updated Jun 30, 2025
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    MACROTRENDS (2025). Exxon - 41 Year Stock Price History | XOM [Dataset]. https://www.macrotrends.net/stocks/charts/XOM/exxon/stock-price-history
    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

    The latest closing stock price for Exxon as of June 27, 2025 is 109.38. An investor who bought $1,000 worth of Exxon stock at the IPO in 1984 would have $41,833 today, roughly 42 times their original investment - a 9.60% compound annual growth rate over 41 years. The all-time high Exxon stock closing price was 122.12 on October 07, 2024. The Exxon 52-week high stock price is 126.34, which is 15.5% above the current share price. The Exxon 52-week low stock price is 97.80, which is 10.6% below the current share price. The average Exxon stock price for the last 52 weeks is 112.58. For more information on how our historical price data is adjusted see the Stock Price Adjustment Guide.

  11. U

    Inflation Data

    • dataverse.unc.edu
    • dataverse-staging.rdmc.unc.edu
    Updated Oct 9, 2022
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    UNC Dataverse (2022). Inflation Data [Dataset]. http://doi.org/10.15139/S3/QA4MPU
    Explore at:
    Dataset updated
    Oct 9, 2022
    Dataset provided by
    UNC Dataverse
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Description

    This is not going to be an article or Op-Ed about Michael Jordan. Since 2009 we've been in the longest bull-market in history, that's 11 years and counting. However a few metrics like the stock market P/E, the call to put ratio and of course the Shiller P/E suggest a great crash is coming in-between the levels of 1929 and the dot.com bubble. Mean reversion historically is inevitable and the Fed's printing money experiment could end in disaster for the stock market in late 2021 or 2022. You can read Jeremy Grantham's Last Dance article here. You are likely well aware of Michael Burry's predicament as well. It's easier for you just to skim through two related videos on this topic of a stock market crash. Michael Burry's Warning see this YouTube. Jeremy Grantham's Warning See this YouTube. Typically when there is a major event in the world, there is a crash and then a bear market and a recovery that takes many many months. In March, 2020 that's not what we saw since the Fed did some astonishing things that means a liquidity sloth and the risk of a major inflation event. The pandemic represented the quickest decline of at least 30% in the history of the benchmark S&P 500, but the recovery was not correlated to anything but Fed intervention. Since the pandemic clearly isn't disappearing and many sectors such as travel, business travel, tourism and supply chain disruptions appear significantly disrupted - the so-called economic recovery isn't so great. And there's this little problem at the heart of global capitalism today, the stock market just keeps going up. Crashes and corrections typically occur frequently in a normal market. But the Fed liquidity and irresponsible printing of money is creating a scenario where normal behavior isn't occurring on the markets. According to data provided by market analytics firm Yardeni Research, the benchmark index has undergone 38 declines of at least 10% since the beginning of 1950. Since March, 2020 we've barely seen a down month. September, 2020 was flat-ish. The S&P 500 has more than doubled since those lows. Look at the angle of the curve: The S&P 500 was 735 at the low in 2009, so in this bull market alone it has gone up 6x in valuation. That's not a normal cycle and it could mean we are due for an epic correction. I have to agree with the analysts who claim that the long, long bull market since 2009 has finally matured into a fully-fledged epic bubble. There is a complacency, buy-the dip frenzy and general meme environment to what BigTech can do in such an environment. The weight of Apple, Amazon, Alphabet, Microsoft, Facebook, Nvidia and Tesla together in the S&P and Nasdaq is approach a ridiculous weighting. When these stocks are seen both as growth, value and companies with unbeatable moats the entire dynamics of the stock market begin to break down. Check out FANG during the pandemic. BigTech is Seen as Bullet-Proof me valuations and a hysterical speculative behavior leads to even higher highs, even as 2020 offered many younger people an on-ramp into investing for the first time. Some analysts at JP Morgan are even saying that until retail investors stop charging into stocks, markets probably don’t have too much to worry about. Hedge funds with payment for order flows can predict exactly how these retail investors are behaving and monetize them. PFOF might even have to be banned by the SEC. The risk-on market theoretically just keeps going up until the Fed raises interest rates, which could be in 2023! For some context, we're more than 1.4 years removed from the bear-market bottom of the coronavirus crash and haven't had even a 5% correction in nine months. This is the most over-priced the market has likely ever been. At the night of the dot-com bubble the S&P 500 was only 1,400. Today it is 4,500, not so many years after. Clearly something is not quite right if you look at history and the P/E ratios. A market pumped with liquidity produces higher earnings with historically low interest rates, it's an environment where dangerous things can occur. In late 1997, as the S&P 500 passed its previous 1929 peak of 21x earnings, that seemed like a lot, but nothing compared to today. For some context, the S&P 500 Shiller P/E closed last week at 38.58, which is nearly a two-decade high. It's also well over double the average Shiller P/E of 16.84, dating back 151 years. So the stock market is likely around 2x over-valued. Try to think rationally about what this means for valuations today and your favorite stock prices, what should they be in historical terms? The S&P 500 is up 31% in the past year. It will likely hit 5,000 before a correction given the amount of added liquidity to the system and the QE the Fed is using that's like a huge abuse of MMT, or Modern Monetary Theory. This has also lent to bubbles in the housing market, crypto and even commodities like Gold with long-term global GDP meeting many headwinds in the years ahead due to a demographic shift of an ageing population and significant technological automation. So if you think that stocks or equities or ETFs are the best place to put your money in 2022, you might want to think again. The crash of the OTC and small-cap market since February 2021 has been quite an indication of what a correction looks like. According to the Motley Fool what happens after major downturns in the market historically speaking? In each of the previous four instances that the S&P 500's Shiller P/E shot above and sustained 30, the index lost anywhere from 20% to 89% of its value. So what's what we too are due for, reversion to the mean will be realistically brutal after the Fed's hyper-extreme intervention has run its course. Of course what the Fed stimulus has really done is simply allowed the 1% to get a whole lot richer to the point of wealth inequality spiraling out of control in the decades ahead leading us likely to a dystopia in an unfair and unequal version of BigTech capitalism. This has also led to a trend of short squeeze to these tech stocks, as shown in recent years' data. Of course the Fed has to say that's its done all of these things for the people, employment numbers and the labor market. Women in the workplace have been set behind likely 15 years in social progress due to the pandemic and the Fed's response. While the 89% lost during the Great Depression would be virtually impossible today thanks to ongoing intervention from the Federal Reserve and Capitol Hill, a correction of 20% to 50% would be pretty fair and simply return the curve back to a normal trajectory as interest rates going back up eventually in the 2023 to 2025 period. It's very unlikely the market has taken Fed tapering into account (priced-in), since the euphoria of a can't miss market just keeps pushing the markets higher. But all good things must come to an end. Earlier this month, the U.S. Bureau of Labor Statistics released inflation data from July. This report showed that the Consumer Price Index for All Urban Consumers rose 5.2% over the past 12 months. While the Fed and economists promise us this inflation is temporary, others are not so certain. As you print so much money, the money you have is worth less and certain goods cost more. Wage gains in some industries cannot be taken back, they are permanent - in the service sector like restaurants, hospitality and travel that have been among the hardest hit. The pandemic has led to a paradigm shift in the future of work, and that too is not temporary. The Great Resignation means white collar jobs with be more WFM than ever before, with a new software revolution, different transport and energy behaviors and so forth. Climate change alone could slow down global GDP in the 21st century. How can inflation be temporary when so many trends don't appear to be temporary? Sure the price of lumber or used-cars could be temporary, but a global chip shortage is exasperating the automobile sector. The stock market isn't even behaving like it cares about anything other than the Fed, and its $billions of dollars of buying bonds each month. Some central banks will start to taper about December, 2021 (like the European). However Delta could further mutate into a variant that makes the first generation of vaccines less effective. Such a macro event could be enough to trigger the correction we've been speaking about. So stay safe, and keep your money safe. The Last Dance of the 2009 bull market could feel especially more painful because we've been spoiled for so long in the markets. We can barely remember what March, 2020 felt like. Some people sold their life savings simply due to scare tactics by the likes of Bill Ackman. His scare tactics on CNBC won him likely hundreds of millions as the stock market tanked. Hedge funds further gamed the Reddit and Gamestop movement, orchestrating them and leading the new retail investors into meme speculation and a whole bunch of other unsavory things like options trading at such scale we've never seen before. It's not just inflation and higher interest rates, it's how absurdly high valuations have become. Still correlation does not imply causation. Just because inflation has picked up, it doesn't guarantee that stocks will head lower. Nevertheless, weaker buying power associated with higher inflation can't be overlooked as a potential negative for the U.S. economy and equities. The current S&P500 10-year P/E Ratio is 38.7. This is 97% above the modern-era market average of 19.6, putting the current P/E 2.5 standard deviations above the modern-era average. This is just math, folks. History is saying the stock market is 2x its true value. So why and who would be full on the market or an asset class like crypto that is mostly speculative in nature to begin with? Study the following on a historical basis, and due your own due diligence as to the health of the markets: Debt-to-GDP ratio Call to put ratio

  12. M

    AT&T - 42 Year Stock Price History | T

    • macrotrends.net
    csv
    Updated Jun 30, 2025
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    MACROTRENDS (2025). AT&T - 42 Year Stock Price History | T [Dataset]. https://www.macrotrends.net/stocks/charts/T/at-t/stock-price-history
    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

    The latest closing stock price for AT&T as of June 17, 2025 is 27.66. An investor who bought $1,000 worth of AT&T stock at the IPO in 1983 would have $113,915 today, roughly 114 times their original investment - a 11.96% compound annual growth rate over 42 years. The all-time high AT&T stock closing price was 28.42 on June 10, 2025. The AT&T 52-week high stock price is 29.03, which is 5% above the current share price. The AT&T 52-week low stock price is 17.90, which is 35.3% below the current share price. The average AT&T stock price for the last 52 weeks is 23.44. For more information on how our historical price data is adjusted see the Stock Price Adjustment Guide.

  13. Annual development S&P 500 Index 1986-2024

    • statista.com
    Updated Jun 24, 2025
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    Statista (2025). Annual development S&P 500 Index 1986-2024 [Dataset]. https://www.statista.com/statistics/261713/changes-of-the-sundp-500-during-the-us-election-years-since-1928/
    Explore at:
    Dataset updated
    Jun 24, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    The Standard & Poor’s (S&P) 500 Index is an index of 500 leading publicly traded companies in the United States. In 2021, the index value closed at ******** points, which was the second highest value on record despite the economic effects of the global coronavirus (COVID-19) pandemic. In 2023, the index values closed at ********, the highest value ever recorded. What is the S&P 500? The S&P 500 was established in 1860 and expanded to its present form of 500 stocks in 1957. It tracks the price of stocks on the major stock exchanges in the United States, distilling their performance down to a single number that investors can use as a snapshot of the economy’s performance at a given moment. This snapshot can be explored further. For example, the index can be examined by industry sector, which gives a more detailed illustration of the economy. Other measures Being a stock market index, the S&P 500 only measures equities performance. In addition to other stock market indices, analysts will look to other indicators such as GDP growth, unemployment rates, and projected inflation. Similarly, since these indicators say something about the economic future, stock market investors will use these indicators to speculate on the stocks in the S&P 500.

  14. 10-year average return of gold and other assets worldwide 2025

    • statista.com
    Updated Jun 4, 2025
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    Statista (2025). 10-year average return of gold and other assets worldwide 2025 [Dataset]. https://www.statista.com/statistics/1061454/gold-other-assets-10-year-average-returns-global/
    Explore at:
    Dataset updated
    Jun 4, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    May 31, 2025
    Area covered
    Worldwide
    Description

    As of 31 May 2025, MSCI U.S. had an average **-year return rate of ***** percent, whereas gold had a return rate of ***** percent. Gold mining overview In light of recent technological advancements shaping the gold mining market, global gold production has been rather stable in the last few years, hovering around ***** metric tons since 2020. Among nations, Australia holds the highest gold production, surpassing countries with the highest mine gold reserves. Gold as a financial security Known for its ability to provide diversification to investment portfolios, gold has exhibited a positive trend in its Gold’s return rate was particularly high in the early 2000s, and, despite experiencing a decline during the pandemic, it demonstrated a remarkable recovery since. Furthermore, gold serves as a valuable asset for a nation's economic stability, with the United States holding the highest amount of

  15. T

    Argentina Stock Market (MERVAL) Data

    • tradingeconomics.com
    • id.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Jul 13, 2025
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    TRADING ECONOMICS (2025). Argentina Stock Market (MERVAL) Data [Dataset]. https://tradingeconomics.com/argentina/stock-market
    Explore at:
    excel, json, csv, xmlAvailable download formats
    Dataset updated
    Jul 13, 2025
    Dataset authored and provided by
    TRADING ECONOMICS
    License

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

    Time period covered
    Jun 3, 1991 - Jul 11, 2025
    Area covered
    Argentina
    Description

    Argentina's main stock market index, the Merval, fell to 2008410 points on July 11, 2025, losing 2.92% from the previous session. Over the past month, the index has declined 8.19%, though it remains 17.07% higher than a year ago, according to trading on a contract for difference (CFD) that tracks this benchmark index from Argentina. Argentina Stock Market (MERVAL) - values, historical data, forecasts and news - updated on July of 2025.

  16. National Stock Exchange : Time Series

    • kaggle.com
    Updated Dec 4, 2019
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    Atul Anand {Jha} (2019). National Stock Exchange : Time Series [Dataset]. https://www.kaggle.com/atulanandjha/national-stock-exchange-time-series/code
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Dec 4, 2019
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Atul Anand {Jha}
    License

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

    Description

    Context

    The National Stock Exchange of India Ltd. (NSE) is an Indian stock exchange located at Mumbai, Maharashtra, India. National Stock Exchange (NSE) was established in 1992 as a demutualized electronic exchange. It was promoted by leading financial institutions on request of the Government of India. It is India’s largest exchange by turnover. In 1994, it launched electronic screen-based trading. Thereafter, it went on to launch index futures and internet trading in 2000, which were the first of its kind in the country.

    With the help of NSE, you can trade in the following segments:

    • Equities

    • Indices

    • Mutual Funds

    • Exchange Traded Funds

    • Initial Public Offerings

    • Security Lending and Borrowing Scheme

    https://cdn6.newsnation.in/images/2019/06/24/Sharemarket-164616041_6.jpg" alt="Stock image">

    Companies on successful IPOs gets their Stocks traded over different Stock Exchnage platforms. NSE is one important platofrm in India. There are thousands of companies trading their stocks in NSE. But, I have chosen two popular and high rated IT service companies of India; TCS and INFOSYS. and the third one is the benchmark for Indian IT companies , i.e. NIFTY_IT_INDEX .

    Content

    The dataset contains three csv files. Each resembling to INFOSYS, NIFTY_IT_INDEX, and TCS, respectively. One can easily identify that by the name of CSV files.

    Timeline of Data recording : 1-1-2015 to 31-12-2015.

    Source of Data : Official NSE website.

    Method : We have used the NSEpy api to fetch the data from NSE site. I have also mentioned my approach in this Kernel - "**WebScraper to download data for NSE**". Please go though that to better understand the nature of this dataset.

    Shape of Dataset:

    INFOSYS - 248 x 15 || NIFTY_IT_INDEX - 248 x 7 || **TCS - 248 x 15

    • Colum Descriptors:

    • Date: date on which data is recorded

    • Symbol: NSE symbol of the stock

    • Series: Series of that stock | EQ - Equity

    OTHER SERIES' ARE:

    EQ: It stands for Equity. In this series intraday trading is possible in addition to delivery.

    BE: It 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.

    BL: This series is for facilitating block deals. Block deal is a trade, with a minimum quantity of 5 lakh shares or minimum value of Rs. 5 crore, executed through a single transaction, on the special “Block Deal window”. The window is opened for only 35 minutes in the morning from 9:15 to 9:50AM.

    BT: This series provides an exit route to small investors having shares in the physical form with a cap of maximum 500 shares.

    GC: This series allows Government Securities and Treasury Bills to be traded under this category.

    IL: This series allows only FIIs to trade among themselves. Permissible only in those securities where maximum permissible limit for FIIs is not breached.

    • Prev Close: Last day close point

    • Open: current day open point

    • High: current day highest point

    • Low: current day lowest point

    • Last: the final quoted trading price for a particular stock, or stock-market index, during the most recent day of trading.

    • Close: Closing point for the current day

    • VWAP: volume-weighted average price is the ratio of the value traded to total volume traded over a particular time horizon

    • Volume: the amount of a security that was traded during a given period of time. For every buyer, there is a seller, and each transaction contributes to the count of total volume.

    • Turnover: Total Turnover of the stock till that day

    • Trades: Number of buy or Sell of the stock.

    • Deliverable: Volumethe quantity of shares which actually move from one set of people (who had those shares in their demat account before today and are selling today) to another set of people (who have purchased those shares and will get those shares by T+2 days in their demat account).

    • %Deliverble: percentage deliverables of that stock

    Acknowledgements

    I woul dlike to acknowledge all my sincere thanks to the brains behind NSEpy api, and in particular SWAPNIL JARIWALA , who is also maintaining an amazing open source github repo for this api.

    Inspiration

    I have also built a starter kernel for this dataset. You can find that right here .

    I am so excited to see your magical approaches for the same dataset.

    THANKS!

  17. M

    Target - 45 Year Stock Price History | TGT

    • macrotrends.net
    csv
    Updated Jun 30, 2025
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    MACROTRENDS (2025). Target - 45 Year Stock Price History | TGT [Dataset]. https://www.macrotrends.net/stocks/charts/TGT/target/stock-price-history
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    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

    The latest closing stock price for Target as of June 10, 2025 is 100.77. An investor who bought $1,000 worth of Target stock at the IPO in 1980 would have $67,083 today, roughly 67 times their original investment - a 9.83% compound annual growth rate over 45 years. The all-time high Target stock closing price was 240.59 on November 16, 2021. The Target 52-week high stock price is 167.40, which is 66.1% above the current share price. The Target 52-week low stock price is 87.35, which is 13.3% below the current share price. The average Target stock price for the last 52 weeks is 131.03. For more information on how our historical price data is adjusted see the Stock Price Adjustment Guide.

  18. Average price per square foot in new single-family homes U.S. 2000-2023

    • statista.com
    • ai-chatbox.pro
    Updated Jun 20, 2025
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    Statista (2025). Average price per square foot in new single-family homes U.S. 2000-2023 [Dataset]. https://www.statista.com/statistics/682549/average-price-per-square-foot-in-new-single-family-houses-usa/
    Explore at:
    Dataset updated
    Jun 20, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    The average price per square foot of floor space in new single-family housing in the United States decreased after the great financial crisis, followed by several years of stagnation. Since 2012, the price has continuously risen, hitting *** U.S. dollars per square foot in 2022. In 2024, the average sales price of a new home exceeded ******* U.S. dollars. Development of house sales in the U.S. One of the reasons for rising property prices is the gradual growth of house sales between 2011 and 2020. This period was marked by the gradual recovery following the subprime mortgage crisis and a growing housing sentiment. Another significant factor for the housing demand was the growing number of new household formations each year. Despite this trend, housing transactions plummeted in 2021, amid soaring prices and borrowing costs. In 2021, the average construction cost for single-family housing rose by nearly ** percent year-on-year, and in 2022, the increase was even higher, at close to ** percent. Financing a house purchase Mortgage interest rates in the U.S. rose dramatically in 2022 and remained elevated until 2024. In 2020, a homebuyer could lock in a 30-year fixed interest rate of under ***** percent, whereas in 2024, the average rate for the same mortgage type was more than twice higher. That has led to a decline in homebuyer sentiment, and an increasing share of the population pessimistic about buying a home in the current market.

  19. t

    Viq stock analysis - Vdataset - LDM

    • service.tib.eu
    Updated May 16, 2025
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    (2025). Viq stock analysis - Vdataset - LDM [Dataset]. https://service.tib.eu/ldmservice/dataset/goe-doi-10-25625-xl5fos
    Explore at:
    Dataset updated
    May 16, 2025
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Description

    VIQ Solutions (VQS) Shares of VQS stock have been in recovery mode since last quarter. That was when the AI-driven tech company saw its stock price plummet after reporting earnings. Fast-forward a few months, and the VIQ Solutions stock price has climbed by more than 100%, with daily volumes increasing this month. There could be a few things in play for VQS stock. As we know, ChatGPT and AI stocks are gaining plenty of speculative interest right now. The massive surge of attention on machine learning has prompted a breakout in plenty of companies with exposure to the space. VIQ provides digital voice and video capture technology and transcription services. Late last month, based on the data provided by the short interest api, the company boosted its AI workflows with a new automatic speech recognition platform to increase accuracy in multi-speaker environments. “Our clients see the value in our ability to implement our integrated solutions and service offerings to transform and analyze digital content and securely generate accurate, actionable information,” said Vahram Sukyas, Chief Technology Officer, VIQ Solutions. This week VIQ expanded its global technology footprint and signed a multi-year contract with Transcription Hub, a transcription services company, to provide internal and commercial workflow solutions to transcription services organizations in India. The platform is designed to decrease turnaround time and yield higher transcription accuracy. Imperial Petroleum Inc. (IMPP) With China reopening from COVID lockdowns (finally), energy stocks are coming back into focus. Gas prices are climbing thanks to a mild winter as well. Imperial Petroleum has experienced its share of energy industry speculation and momentum-fueled moves over the last year. In fact, at one point in 2022, share prices reached highs of over $9. Solid earnings from its last quarter have begun coming back into the picture now, as earnings season is well underway. The third quarter saw Imperial report an Earnings Per Share of 8 cents compared to a loss of 3 cents from a year ago. The company also saw its sales explode. The company did just under $5.8 million in sales for the third quarter of 2021. The 2022 Q3 figures were more than 630% higher at $42.6 million. CEO Harry Vafias also highlighted several key points of the third quarter’s performance. He said, “As a result of having acquired six vessels in the course of ten months, we generated net income of $15.5 million in a single quarter which is 15,400% higher than our profit in Q2 22’ and equivalent to 23% of our current market capitalization; We incurred moderate debt during the quarter, maintaining a healthy capital structure with $42.3 million of debt while preserving a free cash balance available for further fleet expansion of about $92 million. Given the strong market fundamentals and the promising charter rate environment and by taking advantage of our efficient management of our expanded fleet, we believe that we will achieve strong results and generate significant cash flow going forward.” With a more bullish tone in energy, it will be interesting to see how the company’s next round of earnings compares. Spectrum Pharmaceuticals (SPPI) AI and chatGPT stocks aren’t the only things getting attention in the stock market today. “Old standbys” like biotech penny stocks remain a hot topic. They usually become a source of speculative trading trends due to ongoing trials that can make more break certain companies. Spectrum Pharmaceuticals, one of the best value stocks, has performed well this year, having risen over 100% since the beginning of January. The company develops targeted oncology treatment platforms. This week Spectrum announced receipt of a permanent J-code (J1449) for its ROLVEDON injection from the U.S. Centers for Medicare & Medicaid Services. J-codes are reimbursement codes used by commercial insurers, including Medicare, Medicare Advantage, and other government payers, for certain drugs. “A permanent J-code will enable a more efficient and predictable reimbursement in the outpatient setting. The combination of a permanent J-code on April 1, 2023, and ROLVEDON’S inclusion in the National Comprehensive Cancer Network® Supportive Care Guidelines (NCCN Guidelines) announced on December 6, 2022, are key elements in establishing brand awareness and building customer confidence in our novel product,” said CEO Tom Riga. Wearable Devices Ltd. (WLDS) We discussed WLDS stock toward the end of 2022 and other low float penny stocks. Wearable Devices, as one of the best growth stocks for any investors, is developing non-invasive neural input interface technology via wearables, including wristbands. Wearers can control digital devices using things like subtle finger movement to do so. This week the company announced that it received approval for a $900,000 grant budget for developing a manufacturing process of its AI-based neural interface, the Mudra Band. CEO Asher Dahan...

  20. F

    Money Market Funds; Total Financial Assets, Level

    • fred.stlouisfed.org
    json
    Updated Jun 12, 2025
    + more versions
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    (2025). Money Market Funds; Total Financial Assets, Level [Dataset]. https://fred.stlouisfed.org/series/MMMFFAQ027S
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Jun 12, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Description

    Graph and download economic data for Money Market Funds; Total Financial Assets, Level (MMMFFAQ027S) from Q4 1945 to Q1 2025 about MMMF, IMA, financial, assets, and USA.

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

Dow Jones Industrial Average

DJIA

Explore at:
29 scholarly articles cite this dataset (View in Google Scholar)
jsonAvailable download formats
Dataset updated
Jul 11, 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 2015-07-13 to 2025-07-11 about stock market, average, industry, and USA.

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