100+ datasets found
  1. F

    Index of Common Stock Prices, New York Stock Exchange for United States

    • fred.stlouisfed.org
    json
    Updated Aug 15, 2012
    + more versions
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    (2012). Index of Common Stock Prices, New York Stock Exchange for United States [Dataset]. https://fred.stlouisfed.org/series/M11007USM322NNBR
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Aug 15, 2012
    License

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

    Area covered
    United States
    Description

    Graph and download economic data for Index of Common Stock Prices, New York Stock Exchange for United States (M11007USM322NNBR) from Jan 1902 to May 1923 about New York, stock market, indexes, and USA.

  2. United States SCE: Stock Price: Probability That US Stock Prices will be...

    • ceicdata.com
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    CEICdata.com, United States SCE: Stock Price: Probability That US Stock Prices will be Higher 1 Year from Now [Dataset]. https://www.ceicdata.com/en/united-states/survey-of-consumer-expectations-financial/sce-stock-price-probability-that-us-stock-prices-will-be-higher-1-year-from-now
    Explore at:
    Dataset provided by
    CEIC Data
    License

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

    Time period covered
    Mar 1, 2024 - Feb 1, 2025
    Area covered
    United States
    Description

    United States SCE: Stock Price: Probability That US Stock Prices will be Higher 1 Year from Now data was reported at 35.662 % in Apr 2025. This records an increase from the previous number of 33.832 % for Mar 2025. United States SCE: Stock Price: Probability That US Stock Prices will be Higher 1 Year from Now data is updated monthly, averaging 39.618 % from Jun 2013 (Median) to Apr 2025, with 143 observations. The data reached an all-time high of 51.840 % in Apr 2020 and a record low of 33.767 % in Jun 2022. United States SCE: Stock Price: Probability That US Stock Prices will be Higher 1 Year from Now data remains active status in CEIC and is reported by Federal Reserve Bank of New York. The data is categorized under Global Database’s United States – Table US.H085: Survey of Consumer Expectations: Financial.

  3. Stock Market Dataset

    • kaggle.com
    zip
    Updated Apr 2, 2020
    + more versions
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    Oleh Onyshchak (2020). Stock Market Dataset [Dataset]. http://doi.org/10.34740/kaggle/dsv/1054465
    Explore at:
    zip(547714524 bytes)Available download formats
    Dataset updated
    Apr 2, 2020
    Authors
    Oleh Onyshchak
    License

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

    Description

    Overview

    This dataset contains historical daily prices for all tickers currently trading on NASDAQ. The up to date list is available from nasdaqtrader.com. The historic data is retrieved from Yahoo finance via yfinance python package.

    It contains prices for up to 01 of April 2020. If you need more up to date data, just fork and re-run data collection script also available from Kaggle.

    Data Structure

    The date for every symbol is saved in CSV format with common fields:

    • Date - specifies trading date
    • Open - opening price
    • High - maximum price during the day
    • Low - minimum price during the day
    • Close - close price adjusted for splits
    • Adj Close - adjusted close price adjusted for both dividends and splits.
    • Volume - the number of shares that changed hands during a given day

    All that ticker data is then stored in either ETFs or stocks folder, depending on a type. Moreover, each filename is the corresponding ticker symbol. At last, symbols_valid_meta.csv contains some additional metadata for each ticker such as full name.

  4. F

    S&P 500

    • fred.stlouisfed.org
    json
    Updated Jul 30, 2025
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    (2025). S&P 500 [Dataset]. https://fred.stlouisfed.org/series/SP500
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Jul 30, 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.

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

    • statista.com
    • ai-chatbox.pro
    Updated Jun 26, 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
    Jun 26, 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.

  6. United States Stock Prices: 12 Months Expectation: Decrease

    • ceicdata.com
    Updated Feb 15, 2025
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    CEICdata.com (2025). United States Stock Prices: 12 Months Expectation: Decrease [Dataset]. https://www.ceicdata.com/en/united-states/consumer-confidence-index-stock-price-expectation/stock-prices-12-months-expectation-decrease
    Explore at:
    Dataset updated
    Feb 15, 2025
    Dataset provided by
    CEIC Data
    License

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

    Time period covered
    Mar 1, 2024 - Feb 1, 2025
    Area covered
    United States
    Variables measured
    Consumer Survey
    Description

    United States Stock Prices: 12 Months Expectation: Decrease data was reported at 48.500 % in Apr 2025. This records an increase from the previous number of 41.700 % for Mar 2025. United States Stock Prices: 12 Months Expectation: Decrease data is updated monthly, averaging 26.900 % from Jun 1987 (Median) to Apr 2025, with 455 observations. The data reached an all-time high of 54.900 % in Jul 2008 and a record low of 15.300 % in Jan 2000. United States Stock Prices: 12 Months Expectation: Decrease data remains active status in CEIC and is reported by The Conference Board. The data is categorized under Global Database’s United States – Table US.H052: Consumer Confidence Index: Stock Price Expectation. [COVID-19-IMPACT]

  7. United States Stock Prices: 12 Months Expectation: Same

    • ceicdata.com
    Updated Feb 15, 2025
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    CEICdata.com (2025). United States Stock Prices: 12 Months Expectation: Same [Dataset]. https://www.ceicdata.com/en/united-states/consumer-confidence-index-stock-price-expectation/stock-prices-12-months-expectation-same
    Explore at:
    Dataset updated
    Feb 15, 2025
    Dataset provided by
    CEIC Data
    License

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

    Time period covered
    Mar 1, 2024 - Feb 1, 2025
    Area covered
    United States
    Variables measured
    Consumer Survey
    Description

    United States Stock Prices: 12 Months Expectation: Same data was reported at 15.400 % in Apr 2025. This records a decrease from the previous number of 18.400 % for Mar 2025. United States Stock Prices: 12 Months Expectation: Same data is updated monthly, averaging 36.100 % from Jun 1987 (Median) to Apr 2025, with 455 observations. The data reached an all-time high of 45.300 % in Jul 2005 and a record low of 15.400 % in Apr 2025. United States Stock Prices: 12 Months Expectation: Same data remains active status in CEIC and is reported by The Conference Board. The data is categorized under Global Database’s United States – Table US.H052: Consumer Confidence Index: Stock Price Expectation. [COVID-19-IMPACT]

  8. F

    Financial Market: Share Prices for Chile

    • fred.stlouisfed.org
    json
    Updated Jun 16, 2025
    + more versions
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    (2025). Financial Market: Share Prices for Chile [Dataset]. https://fred.stlouisfed.org/series/SPASTT01CLM661N
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Jun 16, 2025
    License

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

    Area covered
    Chile
    Description

    Graph and download economic data for Financial Market: Share Prices for Chile (SPASTT01CLM661N) from Jan 1990 to May 2025 about Chile and stock market.

  9. d

    Data from: Value Line Investment Survey

    • search.dataone.org
    • dataverse.harvard.edu
    • +1more
    Updated Sep 25, 2024
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    Value Line Publishing (2024). Value Line Investment Survey [Dataset]. http://doi.org/10.7910/DVN/P0RROU
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    Dataset updated
    Sep 25, 2024
    Dataset provided by
    Harvard Dataverse
    Authors
    Value Line Publishing
    Time period covered
    Jan 4, 1980 - Dec 31, 1989
    Description

    The Value Line Investment Survey is one of the oldest, continuously running investment advisory publications. Since 1955, the Survey has been published in multiple formats including print, loose-leaf, microfilm and microfiche. Data from 1997 to present is now available online. The Survey tracks 1700 stocks across 92 industry groups. It provides reported and projected measures of firm performance, proprietary rankings and analysis for each stock on a quarterly basis. This dataset, a subset of the Survey covering the years 1980-1989 has been digitized from the microfiche collection available at the Dewey Library (FICHE HG 4501.V26). It is only available to MIT students and faculty for academic research. Published weekly, each edition of the Survey has the following three parts: Summary & Index: includes an alphabetical listing of all industries with their relative ranking and the page number for detailed industry analysis. It also includes an alphabetical listing of all stocks in the publication with references to their location in Part 3, Ratings & Reports. Selection & Opinion: contains the latest economic and stock market commentary and advice along with one or more pages of research on interesting stocks or industries, and a variety of pertinent economic and stock market statistics. It also includes three model stock portfolios. Ratings & Reports: This is the core of the Value Line Investment Survey. Preceded by an industry report, each one-page stock report within that industry includes Timeliness, Safety and Technical rankings, 3-to 5-year analyst forecasts for stock prices, income and balance sheet items, up to 17 years of historical data, and Value Line analysts’ commentaries. The report also contains stock price charts, quarterly sales, earnings, and dividend information. Publication Schedule: Each edition of the Survey covers around 130 stocks in seven to eight industries on a preset sequential schedule so that all 1700 stocks are analyzed once every 13 weeks or each quarter. All editions are numbered 1-13 within each quarter. For example, in 1980, reports for Chrysler appear in edition 1 of each quarter on the following dates: January 4, 1980 – page 132 April 4, 1980 – page 133 July 4, 1980 – page 133 October 1, 1980 – page 133 Reports for Coca-Cola were published in edition 10 of each quarter on: March 7, 1980 – page 1514 June 6, 1980 – page 1518 Sept. 5, 1980 – page 1517 Dec. 5, 1980 – page 1548 Any significant news affecting a stock between quarters is covered in the supplementary reports that appear at the end of part 3, Ratings & Reports. File format: Digitized files within this dataset are in PDF format and are arranged by publication date within each compressed annual folder. How to Consult the Value Line Investment Survey: To find reports on a particular stock, consult the alphabetical listing of stocks in the Summary & Index part of the relevant weekly edition. Look for the page number just to the left of the company name and then use the table below to identify the edition where that page number appears. All editions within a given quarter are numbered 1-13 and follow equally sized page ranges for stock reports. The table provides page ranges for stock reports within editions 1-13 of 1980 Q1. It can be used to identify edition and page numbers for any quarter within a given year. Ratings & Reports Edition Pub. Date Pages 1 04-Jan-80 100-242 2 11-Jan-80 250-392 3 18-Jan-80 400-542 4 25-Jan-80 550-692 5 01-Feb-80 700-842 6 08-Feb-80 850-992 7 15-Feb-80 1000-1142 8 22-Feb-80 1150-1292 9 29-Feb-80 1300-1442 10 07-Mar-80 1450-1592 11 14-Mar-80 1600-1742 12 21-Mar-80 1750-1908 13 28-Mar-80 2000-2142 Another way to navigate to the Ratings & Reports part of an edition would be to look around page 50 within the PDF document. Note that the page numbers of the PDF will not match those within the publication.

  10. ABC News Economy Poll, October 1987

    • icpsr.umich.edu
    ascii, sas, spss +1
    Updated Dec 5, 2006
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    ABC News (2006). ABC News Economy Poll, October 1987 [Dataset]. http://doi.org/10.3886/ICPSR08887.v1
    Explore at:
    stata, sas, ascii, spssAvailable download formats
    Dataset updated
    Dec 5, 2006
    Dataset provided by
    Inter-university Consortium for Political and Social Researchhttps://www.icpsr.umich.edu/web/pages/
    Authors
    ABC News
    License

    https://www.icpsr.umich.edu/web/ICPSR/studies/8887/termshttps://www.icpsr.umich.edu/web/ICPSR/studies/8887/terms

    Time period covered
    Oct 1987
    Area covered
    United States
    Description

    The nation's economy was the topic of this poll. Respondents were asked if they thought the economy was getting better or worse, whether they thought they would be better off financially one year from now, if they planned to spend more or less money than last year at Christmas, and whether stock market prices affected them personally. Additional questions related to the impact and causes of the recent fall in stock prices, the federal budget deficit, and the ways in which the Congress and Ronald Reagan were and should be working to reduce it. Demographic data on respondents are included.

  11. f

    prices of stock market indices and returns of individual stocks

    • figshare.com
    txt
    Updated Feb 6, 2016
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    Bo Zheng (2016). prices of stock market indices and returns of individual stocks [Dataset]. http://doi.org/10.6084/m9.figshare.1289778.v1
    Explore at:
    txtAvailable download formats
    Dataset updated
    Feb 6, 2016
    Dataset provided by
    figshare
    Authors
    Bo Zheng
    License

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

    Description

    the prices of 25 stock market indecs and the normalized returns of 200 individual stocks in New York Stock Exchange and Shanghai Stock Exchange

  12. Stock price change of select U.S. regional banks March 2023

    • statista.com
    Updated Jun 27, 2025
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    Statista (2025). Stock price change of select U.S. regional banks March 2023 [Dataset]. https://www.statista.com/statistics/1377253/stock-price-change-of-us-regional-banks/
    Explore at:
    Dataset updated
    Jun 27, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Mar 2023
    Area covered
    United States
    Description

    Stock prices of selected regional banks in the United States plummeted in March 2023, as investor confidence dropped due to economic uncertainties. Silicon Valley Bank failed on 10th of March 2023. The stock prices of the displayed banks fell particularly sharply on and after that day, which was the second largest bank failure since 2001. The observed period was particularly devastating for First Republic, whose stock price was more than ** percent lower on the 20th of March than on the first day of the month.

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

    • statista.com
    • ai-chatbox.pro
    Updated Jul 22, 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
    Jul 22, 2025
    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.

  14. T

    Euro Area Stock Market Index (EU600) - Index Price | Live Quote | Historical...

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Feb 24, 2020
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    TRADING ECONOMICS (2020). Euro Area Stock Market Index (EU600) - Index Price | Live Quote | Historical Chart [Dataset]. https://tradingeconomics.com/stoxx:ind
    Explore at:
    csv, xml, excel, jsonAvailable download formats
    Dataset updated
    Feb 24, 2020
    Dataset authored and provided by
    TRADING ECONOMICS
    License

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

    Time period covered
    Jan 1, 2000 - Jul 30, 2025
    Description

    Prices for Euro Area Stock Market Index (EU600) including live quotes, historical charts and news. Euro Area Stock Market Index (EU600) was last updated by Trading Economics this July 30 of 2025.

  15. F

    Index of Stock Prices (General) for Germany

    • fred.stlouisfed.org
    json
    Updated Aug 15, 2012
    + more versions
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    (2012). Index of Stock Prices (General) for Germany [Dataset]. https://fred.stlouisfed.org/series/M1123BDEM334NNBR
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Aug 15, 2012
    License

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

    Area covered
    Germany
    Description

    Graph and download economic data for Index of Stock Prices (General) for Germany (M1123BDEM334NNBR) from Jan 1924 to Dec 1935 about Germany, stock market, and indexes.

  16. South Korea Korea Stock Exchange: Index: Korea Composite Stock Price Index:...

    • ceicdata.com
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    CEICdata.com, South Korea Korea Stock Exchange: Index: Korea Composite Stock Price Index: KOSPI 50 [Dataset]. https://www.ceicdata.com/en/korea/korea-stock-exchange-monthly/korea-stock-exchange-index-korea-composite-stock-price-index-kospi-50
    Explore at:
    Dataset provided by
    CEIC Data
    License

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

    Time period covered
    Mar 1, 2024 - Feb 1, 2025
    Area covered
    South Korea
    Description

    South Korea Korea Stock Exchange: Index: Korea Composite Stock Price Index: KOSPI 50 data was reported at 2,318.730 NA in Apr 2025. This records an increase from the previous number of 2,304.720 NA for Mar 2025. South Korea Korea Stock Exchange: Index: Korea Composite Stock Price Index: KOSPI 50 data is updated monthly, averaging 1,902.000 NA from Jan 2012 (Median) to Apr 2025, with 160 observations. The data reached an all-time high of 3,056.060 NA in Jun 2021 and a record low of 1,426.790 NA in Aug 2015. South Korea Korea Stock Exchange: Index: Korea Composite Stock Price Index: KOSPI 50 data remains active status in CEIC and is reported by Exchange Data International Limited. The data is categorized under Global Database’s South Korea – Table KR.EDI.SE: Korea Stock Exchange: Monthly.

  17. The US Economy: A House of Cards? (Forecast)

    • kappasignal.com
    Updated Jun 9, 2023
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    KappaSignal (2023). The US Economy: A House of Cards? (Forecast) [Dataset]. https://www.kappasignal.com/2023/06/the-us-economy-house-of-cards.html
    Explore at:
    Dataset updated
    Jun 9, 2023
    Dataset authored and provided by
    KappaSignal
    License

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

    Area covered
    United States
    Description

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

    The US Economy: A House of Cards?

    Financial data:

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

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

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

    Machine learning features:

    • Feature engineering based on financial data and technical indicators

    • Sentiment analysis data from social media and news articles

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

    Potential Applications:

    • Stock price prediction

    • Portfolio optimization

    • Algorithmic trading

    • Market sentiment analysis

    • Risk management

    Use Cases:

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

    • Analysts developing quantitative trading Buy/Sell strategies

    • Individuals interested in building their own stock market prediction models

    • Students learning about machine learning and financial applications

    Additional Notes:

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

    • Data cleaning and preprocessing are essential before model training

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

  18. T

    Republic Services | RSG - Stock Price | Live Quote | Historical Chart

    • tradingeconomics.com
    csv, excel, json, xml
    Updated May 31, 2017
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    TRADING ECONOMICS (2017). Republic Services | RSG - Stock Price | Live Quote | Historical Chart [Dataset]. https://tradingeconomics.com/rsg:us
    Explore at:
    xml, csv, excel, jsonAvailable download formats
    Dataset updated
    May 31, 2017
    Dataset authored and provided by
    TRADING ECONOMICS
    License

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

    Time period covered
    Jan 1, 2000 - Aug 2, 2025
    Area covered
    United States
    Description

    Republic Services stock price, live market quote, shares value, historical data, intraday chart, earnings per share and news.

  19. Japan Index: NSE: Stock Price Index: 1st Section Composite

    • ceicdata.com
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    CEICdata.com, Japan Index: NSE: Stock Price Index: 1st Section Composite [Dataset]. https://www.ceicdata.com/en/japan/all-stock-exchange-market-indices/index-nse-stock-price-index-1st-section-composite
    Explore at:
    Dataset provided by
    CEIC Data
    License

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

    Time period covered
    May 1, 2017 - Apr 1, 2018
    Area covered
    Japan
    Variables measured
    Securities Exchange Index
    Description

    Japan Index: NSE: Stock Price Index: 1st Section Composite data was reported at 1,296.280 04Jan1968=100 in Oct 2018. This records a decrease from the previous number of 1,416.020 04Jan1968=100 for Sep 2018. Japan Index: NSE: Stock Price Index: 1st Section Composite data is updated monthly, averaging 1,115.530 04Jan1968=100 from Feb 1999 (Median) to Oct 2018, with 237 observations. The data reached an all-time high of 1,842.610 04Jan1968=100 in Jun 2007 and a record low of 672.580 04Jan1968=100 in May 2012. Japan Index: NSE: Stock Price Index: 1st Section Composite data remains active status in CEIC and is reported by Nagoya Stock Exchange. The data is categorized under Global Database’s Japan – Table JP.Z002: All Stock Exchange: Market Indices.

  20. G

    Stock price volatility in Latin America | TheGlobalEconomy.com

    • theglobaleconomy.com
    csv, excel, xml
    Updated Jan 31, 2021
    + more versions
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    Globalen LLC (2021). Stock price volatility in Latin America | TheGlobalEconomy.com [Dataset]. www.theglobaleconomy.com/rankings/Stock_price_volatility/Latin-Am/
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    excel, csv, xmlAvailable download formats
    Dataset updated
    Jan 31, 2021
    Dataset authored and provided by
    Globalen LLC
    License

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

    Time period covered
    Dec 31, 1984 - Dec 31, 2021
    Area covered
    Latin America, World
    Description

    The average for 2021 based on 8 countries was 28.7 percent. The highest value was in Venezuela: 60.53 percent and the lowest value was in Panama: 8.95 percent. The indicator is available from 1984 to 2021. Below is a chart for all countries where data are available.

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(2012). Index of Common Stock Prices, New York Stock Exchange for United States [Dataset]. https://fred.stlouisfed.org/series/M11007USM322NNBR

Index of Common Stock Prices, New York Stock Exchange for United States

M11007USM322NNBR

Explore at:
jsonAvailable download formats
Dataset updated
Aug 15, 2012
License

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

Area covered
United States
Description

Graph and download economic data for Index of Common Stock Prices, New York Stock Exchange for United States (M11007USM322NNBR) from Jan 1902 to May 1923 about New York, stock market, indexes, and USA.

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