100+ datasets found
  1. 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.

  2. T

    United States Stock Market Index Data

    • tradingeconomics.com
    • pl.tradingeconomics.com
    • +2more
    csv, excel, json, xml
    Updated Mar 26, 2025
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    TRADING ECONOMICS (2024). United States Stock Market Index Data [Dataset]. https://tradingeconomics.com/united-states/stock-market??sa=u?ei=ffhqvnvmn5dloatmoocabw&ved=0cjmbebywfq&usg=afqjcngzbcc8p0owixmdsdjcu_endviwgg
    Explore at:
    csv, excel, xml, jsonAvailable download formats
    Dataset updated
    Mar 26, 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 - Mar 26, 2025
    Area covered
    United States
    Description

    The main stock market index in the United States (US500) decreased 193 points or 3.28% since the beginning of 2025, 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 March of 2025.

  3. w

    100 US Dollar to Strips Finance Historical Data

    • www-2.weex.com
    Updated Mar 26, 2025
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    WEEX (2025). 100 US Dollar to Strips Finance Historical Data [Dataset]. https://www-2.weex.com/en/tokens/strips-finance/from-usd/100/
    Explore at:
    Dataset updated
    Mar 26, 2025
    Dataset authored and provided by
    WEEX
    License

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

    Description

    Historical price and volatility data for US Dollar in Strips Finance across different time periods.

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

    • statista.com
    Updated Mar 4, 2025
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    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
    Mar 4, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jan 2018 - Mar 2025
    Area covered
    United States
    Description

    The value of the DJIA index amounted to 43,191.24 at the end of March 2025, up from 21,917.16 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 29th of 2008, for instance, the Dow had a loss of 106.85 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 81.66 percent in one year, and 1933, year when the index registered a growth of 63.74 percent.

  5. F

    S&P 500

    • fred.stlouisfed.org
    • you.radio.fm
    json
    Updated Mar 26, 2025
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    (2025). S&P 500 [Dataset]. https://fred.stlouisfed.org/series/SP500
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Mar 26, 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.

  6. Tesla Stock Historical Data

    • kaggle.com
    zip
    Updated Mar 6, 2023
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    Rudra_Sarkar99 (2023). Tesla Stock Historical Data [Dataset]. https://www.kaggle.com/datasets/rudrasarkar99/tesla-stock-historical-data/data
    Explore at:
    zip(6271 bytes)Available download formats
    Dataset updated
    Mar 6, 2023
    Authors
    Rudra_Sarkar99
    Description

    Dataset

    This dataset was created by Rudra_Sarkar99

    Contents

  7. T

    Japan Stock Market Index (JP225) Data

    • tradingeconomics.com
    • ko.tradingeconomics.com
    • +16more
    csv, excel, json, xml
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    Japan Stock Market Index (JP225) Data [Dataset]. https://tradingeconomics.com/japan/stock-market
    Explore at:
    excel, csv, xml, jsonAvailable download formats
    Dataset authored and provided by
    TRADING ECONOMICS
    License

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

    Time period covered
    Jan 5, 1965 - Mar 27, 2025
    Area covered
    Japan
    Description

    The main stock market index in Japan (JP225) decreased 2147 points or 5.38% since the beginning of 2025, 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 March of 2025.

  8. w

    100 US Dollar to Parallel Finance Historical Data

    • weex.com
    Updated Mar 26, 2025
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    WEEX (2025). 100 US Dollar to Parallel Finance Historical Data [Dataset]. https://www.weex.com/tokens/parallel-finance/from-usd/100
    Explore at:
    Dataset updated
    Mar 26, 2025
    Dataset authored and provided by
    WEEX
    License

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

    Description

    Historical price and volatility data for US Dollar in Parallel Finance across different time periods.

  9. d

    The Functional Change of German Stock Exchanges during Inter-War Period...

    • da-ra.de
    • datacatalogue.cessda.eu
    Updated Feb 22, 2013
    + more versions
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    Joachim Beer (2013). The Functional Change of German Stock Exchanges during Inter-War Period (1885-1939) [Dataset]. http://doi.org/10.4232/1.11563
    Explore at:
    Dataset updated
    Feb 22, 2013
    Dataset provided by
    GESIS Data Archive
    da|ra
    Authors
    Joachim Beer
    Time period covered
    1885 - 1939
    Area covered
    Germany
    Description

    The aim of this investigation is, to describe the development of the German Stock Market during the inter-war period. Causes for the so called change of the stock exchange functions are analysed. The author wants to make a contribution on special aspects of the economic history of the Weimar Republic and the following NS-regime. In his investigation the researcher analyses the activities of the involved players in a historical-institutional framework. The Study’s subjectIn the year 1890 the constitution of security exchange markets and stock markets has been the object of political debate and there has been discussed similar questions according to this topic in public and in policy as today. A current question is about the possibilities to boost the functionality of the security exchange and stock markets, not least in the face of Germany’s position in the global economy. In 1896 as a result of massive political conflicts a stock exchange act has arisen that disappointed the representatives of liberal trading interests because of the restriction of the stock market system’s autonomy and the prohibition of certain forms of trade. In 1908 an amendment to the stock exchange act has been adopted by the parliament. The stock market act in this new form has had validity until today. After the years of the hyperinflation deep changes of the stock market processes has been taken place. This changes can be described as a change of function. The economic-historical study at hand deals with the description of the development of the German security exchange markets during the interwar period. Reasons of the functional changes, which means mainly the decrease in importance, are analysed. In this context the primary investigator’s analysis contributes also to specific aspects of the economic history of the Weimar Republic and the Nazi empire. Due to a lack of date the needed statistical information concerning the period of interest is not available and therefore a statistical analysis cannot meet cliometric requirements. Therefore, the study’s concept is primary a desciptive one. On the basis of the quantitative information an identification of the functional change and the definition of stages of this process is made. The researcher tries to carve out the factors which have led to the functional change particularly during the period between 1924 and 1939. In this context the annual reports of banks, reports of the Chamber of Commerce and Industry, contributions of professional journals, and documents of authorities charged with the stock exchange market, are the empirical basis for the investigation. The researcher analyzed the effects of the banking sector’s concentration-process on the stock exchange market and assessed quantitatively the functional change. On the basis of the collected time series for the period of the late 19th century until 1939 the investigator analyzed the activities at the stock markets. First, the focus on interest is on the development of investments and securities issues. Then information on the securities turnover of German capital market before 1940 are given on the basis of an estimation procedure, developed by the researcher. The sepcial conditions during the inflation between 1914 and 1923 are discussed separately and the long term effects of this hyper-inflation on the stock exchange are identified. The effects of the taxation of stock exchange market visits and the high transaction costs are discussed, too. Used sources for the investigation have been:Archives of German Public Authorities:- finance ministry of the German Reich,- imperial chancellery- Reich´s ministry of economics- reference files of the German Reichsbank- Imperial commissioner of the stock market in Berlin Official Statistics, statistics of trade associations, chambers of commerce, enterprises, the press, and scientific publications. Finally, the author made estimates and calculations. The Study’s data:Data tables are accessible via the search- and download-system HISTAT unter the Topic ‘State: Finances and Taxes’ (= Staat: Finanzen und Steuern). The Study’s data are diveded into the following parts: A. Quantitative Indicators on the Change of Functions (Quantitative Indikatoren des Funktionswandels) A.1 Structure of floatation (Struktur der Wertpapieremission ausgewählter Zeitspannen (1901-1939).)A.2 Tax revenues of exchange turnover (Börsenumsatzsteueraufkommen (1885-1939).)A.3 Vergleich des unkorrigierten mit einem fiktiv möglichen Börsenumsatzsteueraufkommen (1906-1913).A.4 Estimation of everage tax rates (Geschätzte Durchschnittssteuersätze (1884-1913).)A.5 Amount of stock companies of the German Empire (Zahl der Aktiengesellschaften im Deutschen Reich zu bestimmten Jahren (1886-1939).)A.6 Shares listed on the Berlin stock exchange at the end of the year (Die zum Jahresende an der Berliner Börse notierten Aktien (1926-1939).)A.7 Reports und Lombards der Berliner Großbanken in ...

  10. w

    5 US Dollar to Dego Finance Historical Data

    • weex.com
    Updated Mar 27, 2025
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    5 US Dollar to Dego Finance Historical Data [Dataset]. https://www.weex.com/tokens/dego-finance/from-usd/5
    Explore at:
    Dataset updated
    Mar 27, 2025
    Dataset authored and provided by
    WEEX
    License

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

    Area covered
    United States
    Description

    Historical price and volatility data for US Dollar in Dego Finance across different time periods.

  11. w

    100 Spectrum Finance to US Dollar Historical Data

    • weex.com
    Updated Mar 27, 2025
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    The citation is currently not available for this dataset.
    Explore at:
    Dataset updated
    Mar 27, 2025
    Dataset authored and provided by
    WEEX
    License

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

    Area covered
    United States
    Description

    Historical price and volatility data for Spectrum Finance in US Dollar across different time periods.

  12. T

    Russia Stock Market Index MOEX CFD Data

    • tradingeconomics.com
    • ko.tradingeconomics.com
    • +14more
    csv, excel, json, xml
    Updated Mar 26, 2025
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    TRADING ECONOMICS (2025). Russia Stock Market Index MOEX CFD Data [Dataset]. https://tradingeconomics.com/russia/stock-market
    Explore at:
    json, csv, excel, xmlAvailable download formats
    Dataset updated
    Mar 26, 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
    Sep 22, 1997 - Mar 26, 2025
    Area covered
    Russia
    Description

    The main stock market index in Russia (MOEX) increased 264 points or 9.16% since the beginning of 2025, according to trading on a contract for difference (CFD) that tracks this benchmark index from Russia. Russia Stock Market Index MOEX CFD - values, historical data, forecasts and news - updated on March of 2025.

  13. bitcoin historical data

    • kaggle.com
    zip
    Updated Nov 24, 2020
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    Fengxia (2020). bitcoin historical data [Dataset]. https://www.kaggle.com/datasets/fengxiad/bitcoin-historical-data
    Explore at:
    zip(64739 bytes)Available download formats
    Dataset updated
    Nov 24, 2020
    Authors
    Fengxia
    Description

    Dataset

    This dataset was created by Fengxia

    Contents

  14. w

    25 Knit Finance to US Dollar Historical Data

    • weex.com
    Updated Mar 27, 2025
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    The citation is currently not available for this dataset.
    Explore at:
    Dataset updated
    Mar 27, 2025
    Dataset authored and provided by
    WEEX
    License

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

    Area covered
    United States
    Description

    Historical price and volatility data for Knit Finance in US Dollar across different time periods.

  15. Ripple XRP/USD price history up until Mar 25, 2025

    • statista.com
    Updated Jan 10, 2024
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    Raynor de Best (2024). Ripple XRP/USD price history up until Mar 25, 2025 [Dataset]. https://www.statista.com/topics/6170/impact-of-covid-19-on-the-global-financial-markets/
    Explore at:
    Dataset updated
    Jan 10, 2024
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Raynor de Best
    Description

    Ripple - or XRP - prices surged in 2021, but went down significantly as 2022 progressed. As of March 25, 2025, one XRP token was worth 2.45 U.S. dollars. Ethereum's price, for example, kept on reaching new all-time highs, a feat not performed by XRP. Indeed, XRP's more price spikes followed relatively late - only occurring in early 2021, against late 2020 for most other cryptos - after the US SEC filed a legal complaint against Ripple in November 2020. This legal action caused the XRP price to plummet from around 0.70 U.S. dollars to 0.20 U.S. dollars.Ripple versus XRP: two become oneTechnically speaking, Ripple is not a cryptocurrency. Renamed from a protocol called OpenCoin in 2013, Ripple facilitates open-source payments. XRP, on the other hand, is the cryptocurrency that runs on this network. In that sense, Ripple and XRP have a similar symbiosis to each other like the Ethereum network and its cryptocurrency Ether. Unlike Ethereum - whose price changes are connected to the world of Decentralized Finance or DeFI - Ripple/XRP mostly looks at developments on cross-border payments for companies. In 2020, companies worldwide began to favor fintech solutions for future B2B solutions and, in a way, Ripple is an extension of that.What affects the price of Ripple?Ripple is mostly active in Southeast Asia - a region with a splintered payment landscape and that heavily investigates its own types of state-issued cryptocurrency to make cross-border payments a lot easier. Price spikes tend to follow after news on this topic in this specific region. In 2019, for example, the XRP price grew after Japan and South Korea began testing to reduce time and costs for transferring international funds between the two countries. In March 2021, Ripple announced that it had agreed to acquire 40 percent of Malaysian cross-border payments firm Tranglo to meet growing demand in Southeast Asia.

  16. T

    Element Financial | EFN - Stock Price | Live Quote | Historical Chart

    • tradingeconomics.com
    • cdn.tradingeconomics.com
    csv, excel, json, xml
    Updated Nov 5, 2015
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    TRADING ECONOMICS (2015). Element Financial | EFN - Stock Price | Live Quote | Historical Chart [Dataset]. https://tradingeconomics.com/efn:cn
    Explore at:
    excel, json, csv, xmlAvailable download formats
    Dataset updated
    Nov 5, 2015
    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 - Mar 26, 2025
    Area covered
    Canada
    Description

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

  17. T

    China Shanghai Composite Stock Market Index Data

    • tradingeconomics.com
    • jp.tradingeconomics.com
    • +17more
    csv, excel, json, xml
    Updated Mar 27, 2025
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    TRADING ECONOMICS (2025). China Shanghai Composite Stock Market Index Data [Dataset]. https://tradingeconomics.com/china/stock-market
    Explore at:
    xml, csv, excel, jsonAvailable download formats
    Dataset updated
    Mar 27, 2025
    Dataset authored and provided by
    TRADING ECONOMICS
    License

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

    Time period covered
    Dec 19, 1990 - Mar 27, 2025
    Area covered
    China
    Description

    The main stock market index in China (SHANGHAI) increased 22 points or 0.66% since the beginning of 2025, 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 March of 2025.

  18. T

    Ship Finance International | SFL - Stock Price | Live Quote | Historical...

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Jun 9, 2017
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    TRADING ECONOMICS (2017). Ship Finance International | SFL - Stock Price | Live Quote | Historical Chart [Dataset]. https://tradingeconomics.com/sfl:us
    Explore at:
    csv, xml, json, excelAvailable download formats
    Dataset updated
    Jun 9, 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 - Mar 26, 2025
    Area covered
    United States
    Description

    Ship Finance International stock price, live market quote, shares value, historical data, intraday chart, earnings per share and news.

  19. w

    Taiwan New Dollar to Spectrum Finance Historical Data

    • weex.com
    Updated Mar 27, 2025
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    Taiwan New Dollar to Spectrum Finance Historical Data [Dataset]. https://www.weex.com/tokens/spectrum-finance/from-twd
    Explore at:
    Dataset updated
    Mar 27, 2025
    Dataset authored and provided by
    WEEX
    License

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

    Area covered
    Taiwan
    Description

    Historical price and volatility data for Taiwan New Dollar in Spectrum Finance across different time periods.

  20. w

    Dego Finance to US Dollar Historical Data

    • weex.com
    Updated Mar 27, 2025
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    Dego Finance to US Dollar Historical Data [Dataset]. https://www.weex.com/tokens/dego-finance/to-usd
    Explore at:
    Dataset updated
    Mar 27, 2025
    Dataset authored and provided by
    WEEX
    License

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

    Area covered
    United States
    Description

    Historical price and volatility data for Dego Finance in US Dollar across different time periods.

Share
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Close
Cite
Oleh Onyshchak (2020). Stock Market Dataset [Dataset]. http://doi.org/10.34740/kaggle/dsv/1054465
Organization logo

Stock Market Dataset

Historical daily prices of Nasdaq-traded stocks and ETFs

Explore at:
2 scholarly articles cite this dataset (View in Google Scholar)
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.

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