86 datasets found
  1. T

    United States Stock Market Index Data

    • tradingeconomics.com
    • ar.tradingeconomics.com
    • +12more
    csv, excel, json, xml
    Updated Dec 2, 2025
    + more versions
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    TRADING ECONOMICS (2025). United States Stock Market Index Data [Dataset]. https://tradingeconomics.com/united-states/stock-market
    Explore at:
    excel, xml, json, csvAvailable download formats
    Dataset updated
    Dec 2, 2025
    Dataset authored and provided by
    TRADING ECONOMICS
    License

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

    Time period covered
    Jan 3, 1928 - Dec 2, 2025
    Area covered
    United States
    Description

    The main stock market index of United States, the US500, rose to 6818 points on December 2, 2025, gaining 0.08% from the previous session. Over the past month, the index has declined 0.50%, though it remains 12.70% higher than a year ago, according to trading on a contract for difference (CFD) that tracks this benchmark index from United States. United States Stock Market Index - values, historical data, forecasts and news - updated on December of 2025.

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

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

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

  3. T

    BSE SENSEX Stock Market Index Data

    • tradingeconomics.com
    • id.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Dec 2, 2025
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    TRADING ECONOMICS (2025). BSE SENSEX Stock Market Index Data [Dataset]. https://tradingeconomics.com/india/stock-market
    Explore at:
    excel, json, xml, csvAvailable download formats
    Dataset updated
    Dec 2, 2025
    Dataset authored and provided by
    TRADING ECONOMICS
    License

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

    Time period covered
    Apr 3, 1979 - Dec 2, 2025
    Area covered
    India
    Description

    India's main stock market index, the SENSEX, fell to 85138 points on December 2, 2025, losing 0.59% from the previous session. Over the past month, the index has climbed 1.38% and is up 5.31% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks this benchmark index from India. BSE SENSEX Stock Market Index - values, historical data, forecasts and news - updated on December of 2025.

  4. F

    Dow Jones Industrial Average

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

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

    Description

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

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

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

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

  6. F

    S&P 500

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

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

    Description

    View data of the S&P 500, an index of the stocks of 500 leading companies in the US economy, which provides a gauge of the U.S. equity market.

  7. T

    United Kingdom Stock Market Index (GB100) Data

    • tradingeconomics.com
    • ko.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Dec 2, 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
    Dec 2, 2025
    Dataset authored and provided by
    TRADING ECONOMICS
    License

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

    Time period covered
    Jan 3, 1984 - Dec 2, 2025
    Area covered
    United Kingdom
    Description

    United Kingdom's main stock market index, the GB100, fell to 9690 points on December 2, 2025, losing 0.13% from the previous session. Over the past month, the index has declined 0.12%, though it remains 15.91% higher than a year ago, 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 December of 2025.

  8. y

    S&P 500

    • ycharts.com
    html
    Updated Nov 5, 2025
    + more versions
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    Standard and Poor's (2025). S&P 500 [Dataset]. https://ycharts.com/indicators/sp_500
    Explore at:
    htmlAvailable download formats
    Dataset updated
    Nov 5, 2025
    Dataset provided by
    YCharts
    Authors
    Standard and Poor's
    License

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

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

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

  9. Netflix Stock Price With Indicators

    • kaggle.com
    zip
    Updated Apr 12, 2024
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    Aravind Pillai (2024). Netflix Stock Price With Indicators [Dataset]. https://www.kaggle.com/datasets/aspillai/netflix-stock-price-with-indicators
    Explore at:
    zip(338374 bytes)Available download formats
    Dataset updated
    Apr 12, 2024
    Authors
    Aravind Pillai
    License

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

    Description

    This dataset offers an in-depth analysis of Netflix's stock performance over the last decade, incorporating numerous technical indicators to examine its price fluctuations. It includes the recording date and several vital statistics: the opening, highest, lowest, and closing prices for each trading day, along with the trading volume. It also contains momentum indicators like the 7-day and 14-day Relative Strength Index (RSI) to determine if the stock is overbought or oversold. The Commodity Channel Index (CCI) for 7 and 14 days is also included, helping identify short- and medium-term market trends by comparing the current price to the historical average. The dataset integrates the 50-day and 100-day Simple Moving Average (SMA) and Exponential Moving Average (EMA), which shed light on the stock's trend direction. Additional important indicators are the Moving Average Convergence Divergence (MACD), Bollinger Bands for assessing price volatility, the True Range, and the 7-day and 14-day Average True Range (ATR), which provide a gauge of market volatility. This dataset is designed to forecast the closing price for the following day, making it a crucial tool for predicting future movements of Netflix's stock.

    Please find descriptions for the columns.

    • Open: The price at which a stock first trades upon the opening of an exchange on a trading day.

    • High: The highest price at which a stock traded during the trading day.

    • Low: The lowest price at which a stock traded during the trading day.

    • Close: The final price at which a stock trades during a trading day.

    • Volume: The total number of shares of a stock traded during a trading day.

    • RSI_7 / RSI_14: The Relative Strength Index (RSI) is a momentum oscillator that measures the speed and change of price movements. RSI_7 and RSI_14 indicate the RSI calculated over 7 days and 14 days, respectively. https://www.investopedia.com/terms/r/rsi.asp

    • CCI_7 / CCI_14: The Commodity Channel Index (CCI) is a versatile indicator that can be used to identify a new trend or warn of extreme conditions. CCI_7 and CCI_14 are calculated over 7 days and 14 days, respectively. https://www.investopedia.com/terms/c/commoditychannelindex.asp

    • SMA_50 / SMA_100: The Simple Moving Average (SMA) is calculated by averaging the price of a stock over a specific number of days. SMA_50 and SMA_100 are the averages over 50 days and 100 days, respectively. https://www.investopedia.com/terms/s/sma.asp

    • EMA_50 / EMA_100: The Exponential Moving Average (EMA) gives more weight to more recent prices and thus reacts more quickly to price changes than the SMA. EMA_50 and EMA_100 are calculated over 50 days and 100 days, respectively. https://www.investopedia.com/terms/e/ema.asp

    • MACD: The Moving Average Convergence Divergence (MACD) is a trend-following momentum indicator that shows the relationship between two moving averages of a stock’s price. https://www.investopedia.com/terms/m/macd.asp

    • Bollinger Bands (Bollinger): A set of lines plotted two standard deviations (positively and negatively) away from a simple moving average (SMA) of a stock's price. https://www.investopedia.com/terms/b/bollingerbands.asp

    • True Range: The greatest of the following: current high minus the current low, the absolute value of the current high minus the previous close, or the absolute value of the current low minus the previous close.

    • ATR_7 / ATR_14: The Average True Range (ATR) is a measure of volatility that shows how much a stock moves, on average, over a given period. ATR_7 and ATR_14 are calculated over 7 days and 14 days, respectively. https://www.investopedia.com/terms/a/atr.asp

    • Next Day Close: Future price. Closing price of a stock for the following trading day. Can be used as target variable for regression predictions.

  10. I

    India Equity Market Index

    • ceicdata.com
    Updated Nov 15, 2025
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    CEICdata.com (2025). India Equity Market Index [Dataset]. https://www.ceicdata.com/en/indicator/india/equity-market-index
    Explore at:
    Dataset updated
    Nov 15, 2025
    Dataset provided by
    CEICdata.com
    License

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

    Time period covered
    Dec 1, 2024 - Nov 1, 2025
    Area covered
    India
    Variables measured
    Securities Exchange Index
    Description

    Key information about India Sensitive 30 (Sensex)

    • India Sensitive 30 (Sensex) closed at 85,706.7 points in Nov 2025, compared with 83,938.7 points at the previous month end
    • India Equity Market Index: Month End: BSE: Sensitive 30 (Sensex) data is updated monthly, available from Apr 1979 to Nov 2025, with an average number of 2,987.7 points
    • The data reached an all-time high of 85,706.7 points in Nov 2025 and a record low of 115.6 points in Nov 1979

    [COVID-19-IMPACT]


    Further information about India Sensitive 30 (Sensex)

    • In the latest reports, SENSEX recorded a daily P/E ratio of 23.2 in Dec 2025

  11. d

    Analysis On Profitable Meme Market Makers Over The Last 7 Days

    • dune.com
    Updated May 4, 2025
    + more versions
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    alpham2_eth (2025). Analysis On Profitable Meme Market Makers Over The Last 7 Days [Dataset]. https://dune.com/discover/content/trending?q=author%3Aalpham2_eth&resource-type=queries
    Explore at:
    Dataset updated
    May 4, 2025
    Authors
    alpham2_eth
    License

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

    Description

    Blockchain data query: Analysis On Profitable Meme Market Makers Over The Last 7 Days

  12. Meta Stock Price Technical Indicators (10 Years)

    • kaggle.com
    zip
    Updated Feb 18, 2024
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    Aravind Pillai (2024). Meta Stock Price Technical Indicators (10 Years) [Dataset]. https://www.kaggle.com/datasets/aspillai/meta-stock-price-technical-indicators-10-years
    Explore at:
    zip(334399 bytes)Available download formats
    Dataset updated
    Feb 18, 2024
    Authors
    Aravind Pillai
    License

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

    Description

    Meta stock price for past 10 years. Following technical indicators added.

    1. Date: This column represents the date for which the data is recorded.
    2. Open: The opening price of a stock on a particular trading day.
    3. High: The highest price at which a stock traded during the trading day.
    4. Low: The lowest price at which a stock traded during the trading day.
    5. Close: The closing price of a stock on a particular trading day. This is the final price at which the stock is valued for the day.
    6. Volume: The number of shares or contracts traded in a security or an entire market during a given period, usually one trading day.
    7. RSI_7: 7-day Relative Strength Index. It's a momentum indicator measuring the magnitude of recent price changes to evaluate overbought or oversold conditions in the price of a stock.
    8. RSI_14: 14-day Relative Strength Index. Similar to RSI_7 but calculated over 14 days.
    9. CCI_7: 7-day Commodity Channel Index. It’s a technical indicator that measures the difference between the current price and the historical average price. When calculated over 7 days, it gives short-term trends.
    10. CCI_14: 14-day Commodity Channel Index. Like CCI_7, but over 14 days for more medium-term trends.
    11. SMA_50: 50-day Simple Moving Average. It averages the closing prices of a stock over the past 50 days.
    12. EMA_50: 50-day Exponential Moving Average. Similar to SMA_50, but gives more weight to recent prices, making it more responsive to new information.
    13. SMA_100: 100-day Simple Moving Average. It averages the closing prices over the past 100 days.
    14. EMA_100: 100-day Exponential Moving Average. Like SMA_100, but more responsive to recent price changes.
    15. MACD: Moving Average Convergence Divergence. This indicator shows the relationship between two moving averages of a stock’s price.
    16. Bollinger: Bollinger Bands. A type of price envelope developed by John Bollinger.
    17. TrueRange: Typically used in calculating the Average True Range (ATR), it is a measure of volatility that considers the range between the high, low, and previous close of a stock.
    18. ATR_7: 7-day Average True Range. It measures market volatility by decomposing the entire range of a stock for that period.
    19. ATR_14: 14-day Average True Range. Similar to ATR_7, but calculated over 14 days.

    Target

    Next_Day_Close: Represents the closing price of the stock for the next day. It is useful for predictive models trying to forecast future prices.

  13. T

    Japan Stock Market Index (JP225) Data

    • tradingeconomics.com
    • ko.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Dec 2, 2025
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    TRADING ECONOMICS (2025). Japan Stock Market Index (JP225) Data [Dataset]. https://tradingeconomics.com/japan/stock-market
    Explore at:
    excel, csv, xml, jsonAvailable download formats
    Dataset updated
    Dec 2, 2025
    Dataset authored and provided by
    TRADING ECONOMICS
    License

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

    Time period covered
    Jan 5, 1965 - Dec 2, 2025
    Area covered
    Japan
    Description

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

  14. y

    S&P 500 Monthly Return

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

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

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

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

  15. Multi-Asset Market Data 2000-2025

    • kaggle.com
    zip
    Updated Nov 2, 2025
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    Muhammad Mubashir Shafique (2025). Multi-Asset Market Data 2000-2025 [Dataset]. https://www.kaggle.com/datasets/mubashir24/multi-asset-market-data-2000-2025
    Explore at:
    zip(3207511 bytes)Available download formats
    Dataset updated
    Nov 2, 2025
    Authors
    Muhammad Mubashir Shafique
    License

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

    Description

    Multi-Asset Market Data 2000-2025

    Overview

    This dataset provides a comprehensive collection of daily market data for leading cryptocurrencies and commodities over a multi-year period (2000–2025). It includes essential features such as rolling averages, volatility, momentum, and trend indicators, making it suitable for machine learning, financial analysis, and interactive dashboard visualization.

    With over 50,000 entries, this dataset enables insights into price trends, market behavior, and multi-asset dynamics. All prices are listed in USD ($), and the dataset includes engineered features to enhance predictive and analytical capabilities.

    Columns Description

    Column NameDescription
    dateDate of the market record in YYYY-MM-DD format.
    assetAsset name (Bitcoin, Ethereum, Ripple, Litecoin, Gold, Silver).
    final_priceDaily closing price in USD ($) after discount adjustments.
    7d_avg7-day rolling average of final_price for short-term trend analysis.
    30d_avg30-day rolling average for long-term trend observation.
    daily_pct_changeDaily percentage change of final_price, measuring day-to-day market movement.
    volatility_7dStandard deviation of final_price over the past 7 days; short-term market volatility indicator.
    momentum_14dDifference between current price and price 14 days ago; captures market momentum.
    trend_signalBinary indicator: 1 if 7-day average > 30-day average (uptrend), 0 otherwise.
    price_zscoreZ-score of final_price over the past 30 days; identifies abnormal price behavior.

    Key Features

    • Includes major cryptocurrencies and commodities for multi-asset analysis.
    • Over 50,000 rows, sufficient for ML modeling and advanced analytics.
    • Price, trend, momentum, volatility, and z-score metrics included.
    • Ready for Power BI dashboards, FastAPI applications, and mobile/Flutter integrations.

    Potential Use Cases

    • Machine learning models for price prediction and trend analysis.
    • Financial dashboards and visual analytics.
    • Portfolio optimization and risk management.
    • Educational projects in finance, data science, and analytics.

    File Details

    • File Name: multi_asset_market_data_2014-2025.csv
    • File Type: CSV
    • Rows: 50,000+
    • Columns: 10
  16. US Stock Metrics & Performance

    • kaggle.com
    zip
    Updated Dec 13, 2023
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    Jeremy Larcher (2023). US Stock Metrics & Performance [Dataset]. https://www.kaggle.com/datasets/jeremylarcher/us-stock-metrics-and-performance
    Explore at:
    zip(1188103 bytes)Available download formats
    Dataset updated
    Dec 13, 2023
    Authors
    Jeremy Larcher
    License

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

    Description

    All data acquired on December 11th 2023

    1) Ticker: Stock symbol identifying the company.

    2) Company: Name of the company.

    3) Sector: Industry category to which the company belongs.

    4) Industry: Specific sector or business category of the company.

    5) Country: Country where the company is based.

    6) Market Cap: Total market value of a company's outstanding shares.

    7) Price: Current stock price.

    8) Change (%): Percentage change in stock price.

    9) Volume: Number of shares traded.

    10) Price to Earnings Ratio: Ratio of stock price to earnings per share.

    11) Price to Earnings: Price-to-earnings ratio based on past earnings.

    12) Forward Price to Earnings: Expected price-to-earnings ratio.

    13) Price/Earnings to Growth: Ratio of P/E to earnings growth.

    14) Price to Sales: Ratio of stock price to annual sales.

    15) Price to Book: Ratio of stock price to book value.

    16) Price to Cash: Ratio of stock price to cash per share.

    17) Price to Free Cash Flow: Ratio of stock price to free cash flow.

    18) Earnings Per Share This Year (%): Percentage change in earnings per share for the current year.

    19) Earnings Per Share Next Year (%): Percentage change in earnings per share for the next year.

    20) Earnings Per Share Past 5 Years (%): Percentage change in earnings per share over the past 5 years.

    21) Earnings Per Share Next 5 Years (%): Estimated percentage change in earnings per share over the next 5 years.

    22) Sales Past 5 Years (%): Percentage change in sales over the past 5 years.

    23) Dividend (%): Dividend yield as a percentage of the stock price.

    24) Return on Assets (%): Percentage return on total assets.

    25) Return on Equity (%): Percentage return on shareholder equity.

    26) Return on Investment (%): Percentage return on total investment.

    27) Current Ratio: Ratio of current assets to current liabilities.

    28) Quick Ratio: Ratio of liquid assets to current liabilities.

    29) Long-Term Debt to Equity: Ratio of long-term debt to shareholder equity.

    30) Debt to Equity: Ratio of total debt to shareholder equity.

    31) Gross Margin (%): Percentage difference between revenue and cost of goods sold.

    32) Operating Margin (%): Percentage of operating income to revenue.

    33) Profit Margin: Percentage of net income to revenue.

    34) Earnings: Net income of the company.

    35) Outstanding Shares: Total number of shares issued by the company.

    36) Float: Tradable shares available to the public.

    37) Insider Ownership (%): Percentage of company owned by insiders.

    38) Insider Transactions: Recent insider buying or selling activity.

    39) Institutional Ownership (%): Percentage of company owned by institutional investors.

    40) Float Short (%): Percentage of tradable shares sold short by investors.

    41) Short Ratio: Number of days it would take to cover short positions.

    42) Average Volume: Average number of shares traded daily.

    43) Performance (Week) (%): Weekly stock performance percentage.

    44) Performance (Month) (%): Monthly stock performance percentage.

    45) Performance (Quarter) (%): Quarterly stock performance percentage.

    46) Performance (Half Year) (%): Semi-annual stock performance percentage.

    47) Performance (Year) (%): Annual stock performance percentage.

    48) Performance (Year to Date) (%): Year-to-date stock performance percentage.

    49) Volatility (Week) (%): Weekly stock price volatility percentage.

    50) Volatility (Month) (%): Monthly stock price volatility percentage.

    51) Analyst Recommendation: Analyst consensus recommendation on the stock.

    52) Relative Volume: Volume compared to the average volume.

    53) Beta: Measure of stock price volatility relative to the market.

    54) Average True Range: Average price range of a stock.

    55) Simple Moving Average (20) (%): Percentage difference from the 20-day simple moving average.

    56) Simple Moving Average (50) (%): Percentage difference from the 50-day simple moving average.

    57) Simple Moving Average (200) (%): Percentage difference from the 200-day simple moving average.

    58) Yearly High (%): Percentage difference from the yearly high stock price.

    59) Yearly Low (%): Percentage difference from the yearly low stock price.

    60) Relative Strength Index: Momentum indicator measuring the speed and change of price movements.

    61) Change from Open (%): Percentage change from the opening stock price.

    62) Gap (%): Percentage difference between the previous close and the current open price.

    63) Volume: Total number of shares traded.

  17. y

    S&P 500 12 Month Total Return

    • ycharts.com
    html
    Updated Nov 5, 2025
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    Standard and Poor's (2025). S&P 500 12 Month Total Return [Dataset]. https://ycharts.com/indicators/sp_500_12_month_total_return
    Explore at:
    htmlAvailable download formats
    Dataset updated
    Nov 5, 2025
    Dataset provided by
    YCharts
    Authors
    Standard and Poor's
    License

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

    Time period covered
    Nov 30, 1999 - Oct 31, 2025
    Area covered
    United States
    Variables measured
    S&P 500 12 Month Total Return
    Description

    View monthly updates and historical trends for S&P 500 12 Month Total Return. from United States. Source: Standard and Poor's. Track economic data with YC…

  18. Monthly performance of the S&P BSE Sensex Index in India 2017-2024

    • statista.com
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    Statista, Monthly performance of the S&P BSE Sensex Index in India 2017-2024 [Dataset]. https://www.statista.com/statistics/886630/india-monthly-development-of-the-sandp-bse-sensex-index/
    Explore at:
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jan 2017 - Sep 2024
    Area covered
    India
    Description

    The S&P BSE Sensex index, one of India's two main stock indices, lost almost *********** of its value between the end of February and the end of March 2020, owing to the economic impact of the global coronavirus (COVID-19) pandemic. It has since recovered, surpassing its pre-corona level in *************.The S&P BSE Sensex index includes 30 companies listed on the Bombay Stock Exchange which are representative of various industrial sectors of the Indian economy. It is considered one of the main Indicators of the Indian stock market, along with the CNX Nifty Index (which includes shares from India's other main stock exchange, the National Stock Exchange).

  19. y

    S&P 500 1 Year Return

    • ycharts.com
    html
    Updated Nov 5, 2025
    + more versions
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    Standard and Poor's (2025). S&P 500 1 Year Return [Dataset]. https://ycharts.com/indicators/sp_500_1_year_return
    Explore at:
    htmlAvailable download formats
    Dataset updated
    Nov 5, 2025
    Dataset provided by
    YCharts
    Authors
    Standard and Poor's
    License

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

    Time period covered
    Nov 30, 1999 - Oct 31, 2025
    Area covered
    United States
    Variables measured
    S&P 500 1 Year Return
    Description

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

  20. T

    China Shanghai Composite Stock Market Index Data

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

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

    Time period covered
    Dec 19, 1990 - Dec 2, 2025
    Area covered
    China
    Description

    China's main stock market index, the SHANGHAI, fell to 3898 points on December 2, 2025, losing 0.42% from the previous session. Over the past month, the index has declined 1.98%, though it remains 15.36% higher than a year ago, according to trading on a contract for difference (CFD) that tracks this benchmark index from China. China Shanghai Composite Stock Market Index - values, historical data, forecasts and news - updated on December of 2025.

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Click to copy link
Link copied
Close
Cite
TRADING ECONOMICS (2025). United States Stock Market Index Data [Dataset]. https://tradingeconomics.com/united-states/stock-market

United States Stock Market Index Data

United States Stock Market Index - Historical Dataset (1928-01-03/2025-12-02)

Explore at:
21 scholarly articles cite this dataset (View in Google Scholar)
excel, xml, json, csvAvailable download formats
Dataset updated
Dec 2, 2025
Dataset authored and provided by
TRADING ECONOMICS
License

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

Time period covered
Jan 3, 1928 - Dec 2, 2025
Area covered
United States
Description

The main stock market index of United States, the US500, rose to 6818 points on December 2, 2025, gaining 0.08% from the previous session. Over the past month, the index has declined 0.50%, though it remains 12.70% higher than a year ago, according to trading on a contract for difference (CFD) that tracks this benchmark index from United States. United States Stock Market Index - values, historical data, forecasts and news - updated on December of 2025.

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