62 datasets found
  1. Stock Market Dataset

    • kaggle.com
    zip
    Updated Apr 2, 2020
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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. Historical Market Data & APIs | Databento

    • databento.com
    csv, dbn, json +1
    Updated Sep 28, 2023
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    Databento (2023). Historical Market Data & APIs | Databento [Dataset]. https://databento.com/historical
    Explore at:
    json, dbn, csv, parquetAvailable download formats
    Dataset updated
    Sep 28, 2023
    Dataset provided by
    Databento Inc.
    Authors
    Databento
    Time period covered
    May 21, 2017 - Present
    Area covered
    Europe, North America
    Description

    Get comprehensive coverage for 70+ trading venues with Databento's historical data APIs. Available in multiple data formats including MBO, MBP, and more.

  3. T

    Deutsche Bank | DB - Stock Price | Live Quote | Historical Chart

    • tradingeconomics.com
    csv, excel, json, xml
    Updated May 28, 2017
    + more versions
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    TRADING ECONOMICS (2017). Deutsche Bank | DB - Stock Price | Live Quote | Historical Chart [Dataset]. https://tradingeconomics.com/db:us
    Explore at:
    json, excel, xml, csvAvailable download formats
    Dataset updated
    May 28, 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 - Jul 4, 2025
    Area covered
    United States
    Description

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

  4. F

    S&P 500

    • fred.stlouisfed.org
    json
    Updated Jul 3, 2025
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    (2025). S&P 500 [Dataset]. https://fred.stlouisfed.org/series/SP500
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Jul 3, 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. Equities Data & APIs - ETF and Stock Market Data | Databento

    • databento.com
    csv, dbn, json +1
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    Databento, Equities Data & APIs - ETF and Stock Market Data | Databento [Dataset]. https://databento.com/equities
    Explore at:
    csv, json, dbn, parquetAvailable download formats
    Dataset provided by
    Databento Inc.
    Authors
    Databento
    Time period covered
    May 1, 2018 - Present
    Area covered
    United States
    Description

    Download real-time and historical stock price data, including all buy and sell orders at every price level. Get each trade tick-by-tick and order queue composition at all prices. Access high-fidelity US equities stock market data using our Python, Rust, and C++ APIs. Providing full order book depth (MBO), OHLC aggregates, and more.

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

    • ceicdata.com
    Updated Feb 15, 2025
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    CEICdata.com (2025). United States Stock Prices: 12 Months Expectation: Increase [Dataset]. https://www.ceicdata.com/en/united-states/consumer-confidence-index-stock-price-expectation/stock-prices-12-months-expectation-increase
    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: Increase data was reported at 36.100 % in Apr 2025. This records a decrease from the previous number of 39.900 % for Mar 2025. United States Stock Prices: 12 Months Expectation: Increase data is updated monthly, averaging 36.200 % from Jun 1987 (Median) to Apr 2025, with 455 observations. The data reached an all-time high of 57.200 % in Nov 2024 and a record low of 18.100 % in Mar 2008. United States Stock Prices: 12 Months Expectation: Increase 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. T

    Gold - Price Data

    • tradingeconomics.com
    • it.tradingeconomics.com
    • +13more
    csv, excel, json, xml
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    TRADING ECONOMICS, Gold - Price Data [Dataset]. https://tradingeconomics.com/commodity/gold
    Explore at:
    excel, csv, json, xmlAvailable download formats
    Dataset authored and provided by
    TRADING ECONOMICS
    License

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

    Time period covered
    Jan 3, 1968 - Jul 4, 2025
    Area covered
    World
    Description

    Gold rose to 3,335.24 USD/t.oz on July 4, 2025, up 0.27% from the previous day. Over the past month, Gold's price has fallen 0.52%, but it is still 39.50% higher than a year ago, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. Gold - values, historical data, forecasts and news - updated on July of 2025.

  8. T

    Crude Oil - Price Data

    • tradingeconomics.com
    • ar.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Jul 4, 2025
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    TRADING ECONOMICS (2025). Crude Oil - Price Data [Dataset]. https://tradingeconomics.com/commodity/crude-oil
    Explore at:
    csv, json, xml, excelAvailable download formats
    Dataset updated
    Jul 4, 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
    Mar 30, 1983 - Jul 4, 2025
    Area covered
    World
    Description

    Crude Oil fell to 66.46 USD/Bbl on July 4, 2025, down 0.56% from the previous day. Over the past month, Crude Oil's price has risen 4.87%, but it is still 20.09% lower than a year ago, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. Crude Oil - values, historical data, forecasts and news - updated on July of 2025.

  9. o

    IvyDB Signed Volume - Daily Options Trading Volume Data

    • optionmetrics.com
    Updated Nov 15, 2023
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    OptionMetrics (2023). IvyDB Signed Volume - Daily Options Trading Volume Data [Dataset]. https://optionmetrics.com/
    Explore at:
    Dataset updated
    Nov 15, 2023
    Dataset authored and provided by
    OptionMetrics
    License

    https://optionmetrics.com/contact/https://optionmetrics.com/contact/

    Time period covered
    Jan 1, 2016 - Present
    Description

    The IvyDB Signed Volume dataset, available as an add-on product for IvyDB US, contains daily data on detailed option trading volume. Trades in the IvyDB US dataset are assigned as either buyer-initiated or seller-initiated based on the trade price and the bid-ask quote at the time of the trade. The total assigned daily volume is aggregated and updated nightly.

  10. United States US: Stocks Traded: Total Value

    • ceicdata.com
    Updated Mar 15, 2023
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    CEICdata.com (2023). United States US: Stocks Traded: Total Value [Dataset]. https://www.ceicdata.com/en/united-states/financial-sector/us-stocks-traded-total-value
    Explore at:
    Dataset updated
    Mar 15, 2023
    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
    Dec 1, 2006 - Dec 1, 2017
    Area covered
    United States
    Variables measured
    Turnover
    Description

    United States US: Stocks Traded: Total Value data was reported at 39,785.881 USD bn in 2017. This records a decrease from the previous number of 42,071.330 USD bn for 2016. United States US: Stocks Traded: Total Value data is updated yearly, averaging 17,934.293 USD bn from Dec 1984 (Median) to 2017, with 34 observations. The data reached an all-time high of 47,245.496 USD bn in 2008 and a record low of 1,108.421 USD bn in 1984. United States US: Stocks Traded: Total Value data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s United States – Table US.World Bank.WDI: Financial Sector. The value of shares traded is the total number of shares traded, both domestic and foreign, multiplied by their respective matching prices. Figures are single counted (only one side of the transaction is considered). Companies admitted to listing and admitted to trading are included in the data. Data are end of year values converted to U.S. dollars using corresponding year-end foreign exchange rates.; ; World Federation of Exchanges database.; Sum; Stock market data were previously sourced from Standard & Poor's until they discontinued their 'Global Stock Markets Factbook' and database in April 2013. Time series have been replaced in December 2015 with data from the World Federation of Exchanges and may differ from the previous S&P definitions and methodology.

  11. United States US: Market Capitalization: Listed Domestic Companies

    • ceicdata.com
    Updated Apr 30, 2021
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    CEICdata.com (2021). United States US: Market Capitalization: Listed Domestic Companies [Dataset]. https://www.ceicdata.com/en/united-states/financial-sector/us-market-capitalization-listed-domestic-companies
    Explore at:
    Dataset updated
    Apr 30, 2021
    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
    Dec 1, 2006 - Dec 1, 2017
    Area covered
    United States
    Variables measured
    Turnover
    Description

    United States US: Market Capitalization: Listed Domestic Companies data was reported at 32,120.703 USD bn in 2017. This records an increase from the previous number of 27,352.201 USD bn for 2016. United States US: Market Capitalization: Listed Domestic Companies data is updated yearly, averaging 11,322.354 USD bn from Dec 1980 (Median) to 2017, with 38 observations. The data reached an all-time high of 32,120.703 USD bn in 2017 and a record low of 1,263.561 USD bn in 1981. United States US: Market Capitalization: Listed Domestic Companies data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s United States – Table US.World Bank.WDI: Financial Sector. Market capitalization (also known as market value) is the share price times the number of shares outstanding (including their several classes) for listed domestic companies. Investment funds, unit trusts, and companies whose only business goal is to hold shares of other listed companies are excluded. Data are end of year values converted to U.S. dollars using corresponding year-end foreign exchange rates.; ; World Federation of Exchanges database.; Sum; Stock market data were previously sourced from Standard & Poor's until they discontinued their 'Global Stock Markets Factbook' and database in April 2013. Time series have been replaced in December 2015 with data from the World Federation of Exchanges and may differ from the previous S&P definitions and methodology.

  12. T

    Eggs US - Price Data

    • tradingeconomics.com
    • de.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Jul 3, 2025
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    TRADING ECONOMICS (2025). Eggs US - Price Data [Dataset]. https://tradingeconomics.com/commodity/eggs-us
    Explore at:
    excel, csv, xml, jsonAvailable download formats
    Dataset updated
    Jul 3, 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
    May 25, 2012 - Jul 3, 2025
    Area covered
    World, United States
    Description

    Eggs US rose to 2.56 USD/Dozen on July 3, 2025, up 0.41% from the previous day. Over the past month, Eggs US's price has risen 0.79%, and is up 5.02% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. This dataset includes a chart with historical data for Eggs US.

  13. d

    Standard and Poor's (S&P) 500 Index Data including Dividend, Earnings and...

    • datahub.io
    Updated Feb 1, 2002
    + more versions
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    (2002). Standard and Poor's (S&P) 500 Index Data including Dividend, Earnings and P/E Ratio [Dataset]. https://datahub.io/core/s-and-p-500
    Explore at:
    Dataset updated
    Feb 1, 2002
    License

    ODC Public Domain Dedication and Licence (PDDL) v1.0http://www.opendatacommons.org/licenses/pddl/1.0/
    License information was derived automatically

    Description

    S&P 500 index data including level, dividend, earnings and P/E ratio on a monthly basis since 1870. The S&P 500 (Standard and Poor's 500) is a free-float, capitalization-weighted index of the top ...

  14. Price of Deutsche Bank shares 1990-2023

    • statista.com
    Updated Oct 22, 2024
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    Statista (2024). Price of Deutsche Bank shares 1990-2023 [Dataset]. https://www.statista.com/statistics/424174/price-of-deutsche-bank-shares/
    Explore at:
    Dataset updated
    Oct 22, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Germany
    Description

    The price of Deutsche Bank share on the Frankfurt Stock Exchange amounted to 12.34 euros at the end of 2023. This was an increase compared to the previous year. Deutsche Bank's share price was the highest in 2006, at 88.41 euros, before the Financial Crisis. The lowest year close was observed in 2019, at 6.92 euros.
    Deutsche Bank finances Deutsche Bank has closed many of its branches worldwide. This signals that it is trying to decrease its costs. Examining its quarterly net income or loss suggests that the bank faced a difficult business climate in the last several years, although it managed to increase its net income in 2022. The period from 2018 to 2020 was a particularly hard period for the shareholders as well, since the bank was unable to pay dividends. More on the European banking industry Deutsche Bank is among the leading banks in Europe by assets. While struggling to recover from the Financial Crisis of 2008, the continent was hit by the Eurozone Crisis, spurned by high national debt in several countries in southern Europe. Deutsche Bank and other European banks were, and remain, exposed to investments that were less secure than expected.

  15. M

    Coffee Prices - 45 Year Historical Chart

    • macrotrends.net
    csv
    Updated Jul 31, 2025
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    MACROTRENDS (2025). Coffee Prices - 45 Year Historical Chart [Dataset]. https://www.macrotrends.net/2535/coffee-prices-historical-chart-data
    Explore at:
    csvAvailable download formats
    Dataset updated
    Jul 31, 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
    1973 - 2025
    Area covered
    United States
    Description

    Interactive chart of historical daily coffee prices back to 1969. The price shown is in U.S. Dollars per pound.

  16. 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]

  17. T

    Deutsche Bank | DB - EPS Earnings Per Share

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Dec 15, 2024
    + more versions
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    TRADING ECONOMICS (2024). Deutsche Bank | DB - EPS Earnings Per Share [Dataset]. https://tradingeconomics.com/db:us:eps
    Explore at:
    xml, csv, json, excelAvailable download formats
    Dataset updated
    Dec 15, 2024
    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 5, 2025
    Area covered
    United States
    Description

    Deutsche Bank reported EUR0.53 in EPS Earnings Per Share for its fiscal quarter ending in December of 2024. Data for Deutsche Bank | DB - EPS Earnings Per Share including historical, tables and charts were last updated by Trading Economics this last July in 2025.

  18. T

    Deutsche Bank | DB - PE Price to Earnings

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Dec 15, 2024
    + more versions
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    TRADING ECONOMICS (2024). Deutsche Bank | DB - PE Price to Earnings [Dataset]. https://tradingeconomics.com/db:us:pe
    Explore at:
    excel, json, xml, csvAvailable download formats
    Dataset updated
    Dec 15, 2024
    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 4, 2025
    Area covered
    United States
    Description

    Deutsche Bank reported 8.62 in PE Price to Earnings for its fiscal quarter ending in December of 2024. Data for Deutsche Bank | DB - PE Price to Earnings including historical, tables and charts were last updated by Trading Economics this last July in 2025.

  19. F

    CBOE Volatility Index: VIX

    • fred.stlouisfed.org
    json
    Updated Jul 3, 2025
    + more versions
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    (2025). CBOE Volatility Index: VIX [Dataset]. https://fred.stlouisfed.org/series/VIXCLS
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Jul 3, 2025
    License

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

    Description

    Graph and download economic data for CBOE Volatility Index: VIX (VIXCLS) from 1990-01-02 to 2025-07-02 about VIX, volatility, stock market, and USA.

  20. Vietnam VN: Stocks Traded: Total Value

    • ceicdata.com
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    CEICdata.com, Vietnam VN: Stocks Traded: Total Value [Dataset]. https://www.ceicdata.com/en/vietnam/financial-sector/vn-stocks-traded-total-value
    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
    Dec 1, 2008 - Dec 1, 2017
    Area covered
    Vietnam
    Variables measured
    Turnover
    Description

    Vietnam VN: Stocks Traded: Total Value data was reported at 38.060 USD bn in 2017. This records an increase from the previous number of 22.272 USD bn for 2016. Vietnam VN: Stocks Traded: Total Value data is updated yearly, averaging 19.144 USD bn from Dec 2008 (Median) to 2017, with 9 observations. The data reached an all-time high of 38.060 USD bn in 2017 and a record low of 7.057 USD bn in 2008. Vietnam VN: Stocks Traded: Total Value data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Vietnam – Table VN.World Bank.WDI: Financial Sector. The value of shares traded is the total number of shares traded, both domestic and foreign, multiplied by their respective matching prices. Figures are single counted (only one side of the transaction is considered). Companies admitted to listing and admitted to trading are included in the data. Data are end of year values converted to U.S. dollars using corresponding year-end foreign exchange rates.; ; World Federation of Exchanges database.; Sum; Stock market data were previously sourced from Standard & Poor's until they discontinued their 'Global Stock Markets Factbook' and database in April 2013. Time series have been replaced in December 2015 with data from the World Federation of Exchanges and may differ from the previous S&P definitions and methodology.

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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:
4 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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