14 datasets found
  1. Top Global Companies Innovators & Giants 🌍🏢

    • kaggle.com
    Updated Jun 7, 2024
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    Sheikh Muhammad Abdullah (2024). Top Global Companies Innovators & Giants 🌍🏢 [Dataset]. https://www.kaggle.com/datasets/abdmental01/top-companies
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Jun 7, 2024
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Sheikh Muhammad Abdullah
    License

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

    Description

    Data Description

    The dataset provided includes information about various companies, their stock symbols, financial metrics such as price-to-book ratio and share price, as well as details about their origin countries. Additionally, the dataset contains frequency distribution information for certain ranges of price-to-book ratios and share prices.

    About Data

    The dataset appears to be a compilation of financial data for different companies, likely for investment analysis or comparison purposes. It includes the following key components:

    • Rank: Rank of the company based on some criteria (not explicitly mentioned).
    • Company: Name of the company.
    • Stock Symbol: Symbol used to identify the company's stock in trading.
    • Price to Book Ratio: Financial metric indicating the relationship between a company's market value and its book value.
    • Share Price (USD): Price of a single share of the company's stock in US dollars.
    • Company Origin: Country where the company is based.
    • Label Count: Frequency distribution information for certain ranges of price-to-book ratios and share prices.

    This dataset can be utilized for various financial analyses such as company valuation, comparison of financial metrics across companies, and investment decision-making.

  2. End-of-Day Pricing Data Canada Techsalerator

    • kaggle.com
    Updated Aug 24, 2023
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    Techsalerator (2023). End-of-Day Pricing Data Canada Techsalerator [Dataset]. https://www.kaggle.com/datasets/techsalerator/end-of-day-pricing-data-canada-techsalerator/versions/1
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Aug 24, 2023
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Techsalerator
    Area covered
    Canada
    Description

    Techsalerator offers an extensive dataset of End-of-Day Pricing Data for all 800 companies listed on the Canadian Securities Exchange (XCNQ) in Canada. This dataset includes the closing prices of equities (stocks), bonds, and indices at the end of each trading session. End-of-day prices are vital pieces of market data that are widely used by investors, traders, and financial institutions to monitor the performance and value of these assets over time.

    Top 5 used data fields in the End-of-Day Pricing Dataset for Canada:

    1. Equity Closing Price :The closing price of individual company stocks at the end of the trading day.This field provides insights into the final price at which market participants were willing to buy or sell shares of a specific company.

    2. Bond Closing Price: The closing price of various fixed-income securities, including government bonds, corporate bonds, and municipal bonds. Bond investors use this field to assess the current market value of their bond holdings.

    3. Index Closing Price: The closing value of market indices, such as the Botswana stock market index, at the end of the trading day. These indices track the overall market performance and direction.

    4. Equity Ticker Symbol: The unique symbol used to identify individual company stocks. Ticker symbols facilitate efficient trading and data retrieval.

    5. Date of Closing Price: The specific trading day for which the closing price is provided. This date is essential for historical analysis and trend monitoring.

    Top 5 financial instruments with End-of-Day Pricing Data in Canada:

    S&P/TSX Composite Index: The primary stock market index in Canada, tracking the performance of domestic companies listed on the Toronto Stock Exchange (TSX). It provides a comprehensive view of the Canadian equity market.

    Canadian Dollar (CAD): The official currency of Canada, used for transactions and trade within the country. The Canadian Dollar is also widely traded in international foreign exchange markets.

    Bank of Canada: Canada's central bank responsible for monetary policy, currency issuance, and overall financial system stability. It plays a critical role in managing the country's economic and financial well-being.

    Royal Bank of Canada (RBC): One of the largest and most prominent banks in Canada, offering a wide range of financial services to individuals, businesses, and institutions. RBC is a key player in the Canadian banking sector.

    Canadian Government Bonds: Debt securities issued by the Canadian government to finance its operations and projects. These bonds are considered relatively safe investments and play a significant role in the country's capital markets.

    If you're interested in accessing Techsalerator's End-of-Day Pricing Data for Canada, please contact info@techsalerator.com with your specific requirements. Techsalerator will provide you with a customized quote based on the number of data fields and records you need. The dataset can be delivered within 24 hours, and ongoing access options can be discussed if needed.

    Data fields included:

    Equity Ticker Symbol Equity Closing Price Bond Ticker Symbol Bond Closing Price Index Ticker Symbol Index Closing Price Date of Closing Price Equity Name Equity Volume Equity High Price Equity Low Price Equity Open Price Bond Name Bond Coupon Rate Bond Maturity Index Name Index Change Index Percent Change Exchange Currency Total Market Capitalization Dividend Yield Price-to-Earnings Ratio (P/E) ‍

    Q&A:

    1. How much does the End-of-Day Pricing Data cost in Canada ?

    The cost of this dataset may vary depending on factors such as the number of data fields, the frequency of updates, and the total records count. For precise pricing details, it is recommended to directly consult with a Techsalerator Data specialist.

    1. How complete is the End-of-Day Pricing Data coverage in Canada?

    Techsalerator provides comprehensive coverage of End-of-Day Pricing Data for various financial instruments, including equities, bonds, and indices. Thedataset encompasses major companies and securities traded on Canada exchanges.

    1. How does Techsalerator collect this data?

    Techsalerator collects End-of-Day Pricing Data from reliable sources, including stock exchanges, financial news outlets, and other market data providers. Data is carefully curated to ensure accuracy and reliability.

    1. Can I select specific financial instruments or multiple countries with Techsalerator's End-of-Day Pricing Data?

    Techsalerator offers the flexibility to select specific financial instruments, such as equities, bonds, or indices, depending on your needs. While the dataset focuses on Botswana, Techsalerator also provides data for other countries and international markets.

    1. How do I pay for this dataset?

    Techsalerator accepts various payment methods, including credit cards, direct tran...

  3. End-of-Day Pricing Market Data Syria Techsalerator

    • kaggle.com
    Updated Aug 24, 2023
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    Techsalerator (2023). End-of-Day Pricing Market Data Syria Techsalerator [Dataset]. https://www.kaggle.com/datasets/techsalerator/end-of-day-pricing-market-data-syria-techsalerator
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Aug 24, 2023
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Techsalerator
    Area covered
    Syria
    Description

    Techsalerator offers an extensive dataset of End-of-Day Pricing Data for all 30 companies listed on the Damascus Securities Exchange (XDSE) in Syria. This dataset includes the closing prices of equities (stocks), bonds, and indices at the end of each trading session. End-of-day prices are vital pieces of market data that are widely used by investors, traders, and financial institutions to monitor the performance and value of these assets over time.

    Top 5 used data fields in the End-of-Day Pricing Dataset for Syria:

    1. Equity Closing Price :The closing price of individual company stocks at the end of the trading day.This field provides insights into the final price at which market participants were willing to buy or sell shares of a specific company.

    2. Bond Closing Price: The closing price of various fixed-income securities, including government bonds, corporate bonds, and municipal bonds. Bond investors use this field to assess the current market value of their bond holdings.

    3. Index Closing Price: The closing value of market indices, such as the Botswana stock market index, at the end of the trading day. These indices track the overall market performance and direction.

    4. Equity Ticker Symbol: The unique symbol used to identify individual company stocks. Ticker symbols facilitate efficient trading and data retrieval.

    5. Date of Closing Price: The specific trading day for which the closing price is provided. This date is essential for historical analysis and trend monitoring.

    Top 5 financial instruments with End-of-Day Pricing Data in Syria:

    Damascus Securities Exchange (DSE): The primary stock exchange in Syria, tracking the performance of domestic companies listed on the exchange. It provides insights into the Syrian equity market.

    Syrian Pound (SYP): The official currency of Syria, used for transactions and trade within the country. The Syrian Pound has faced significant challenges due to the ongoing conflict and economic instability in the country.

    Central Bank of Syria (CBS): The central bank responsible for monetary policy, currency issuance, and regulation of the financial sector in Syria. It plays a crucial role in managing the country's economic challenges.

    Syrian Petroleum Company (SPC): A state-owned company responsible for the exploration, production, and export of oil and natural gas. Energy resources are important for Syria's economy, and SPC is a key player in the sector.

    Commercial Bank of Syria: One of the major state-owned banks in Syria, providing various financial services to individuals and businesses. Despite challenges, the banking sector remains a vital part of the Syrian economy.

    If you're interested in accessing Techsalerator's End-of-Day Pricing Data for Syria, please contact info@techsalerator.com with your specific requirements. Techsalerator will provide you with a customized quote based on the number of data fields and records you need. The dataset can be delivered within 24 hours, and ongoing access options can be discussed if needed.

    Data fields included:

    Equity Ticker Symbol Equity Closing Price Bond Ticker Symbol Bond Closing Price Index Ticker Symbol Index Closing Price Date of Closing Price Equity Name Equity Volume Equity High Price Equity Low Price Equity Open Price Bond Name Bond Coupon Rate Bond Maturity Index Name Index Change Index Percent Change Exchange Currency Total Market Capitalization Dividend Yield Price-to-Earnings Ratio (P/E) ‍

    Q&A:

    1. How much does the End-of-Day Pricing Data cost in Syria ?

    The cost of this dataset may vary depending on factors such as the number of data fields, the frequency of updates, and the total records count. For precise pricing details, it is recommended to directly consult with a Techsalerator Data specialist.

    1. How complete is the End-of-Day Pricing Data coverage in Syria?

    Techsalerator provides comprehensive coverage of End-of-Day Pricing Data for various financial instruments, including equities, bonds, and indices. Thedataset encompasses major companies and securities traded on Syria exchanges.

    1. How does Techsalerator collect this data?

    Techsalerator collects End-of-Day Pricing Data from reliable sources, including stock exchanges, financial news outlets, and other market data providers. Data is carefully curated to ensure accuracy and reliability.

    1. Can I select specific financial instruments or multiple countries with Techsalerator's End-of-Day Pricing Data?

    Techsalerator offers the flexibility to select specific financial instruments, such as equities, bonds, or indices, depending on your needs. While the dataset focuses on Botswana, Techsalerator also provides data for other countries and international markets.

    1. How do I pay for this dataset?

    Techsalerator accepts various payment methods, including credit cards, direct transfers, ACH, and wi...

  4. T

    Brazil Stock Market (BOVESPA) Data

    • tradingeconomics.com
    • ko.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Feb 1, 2002
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    TRADING ECONOMICS (2002). Brazil Stock Market (BOVESPA) Data [Dataset]. https://tradingeconomics.com/brazil/stock-market
    Explore at:
    xml, excel, json, csvAvailable download formats
    Dataset updated
    Feb 1, 2002
    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 25, 1988 - Jul 4, 2025
    Area covered
    Brazil
    Description

    Brazil's main stock market index, the IBOVESPA, rose to 141264 points on July 4, 2025, gaining 0.24% from the previous session. Over the past month, the index has climbed 3.69% and is up 11.88% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks this benchmark index from Brazil. Brazil Stock Market (BOVESPA) - values, historical data, forecasts and news - updated on July of 2025.

  5. A

    ‘📊 Financial market screener’ analyzed by Analyst-2

    • analyst-2.ai
    Updated Feb 1, 2001
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    Analyst-2 (analyst-2.ai) / Inspirient GmbH (inspirient.com) (2001). ‘📊 Financial market screener’ analyzed by Analyst-2 [Dataset]. https://analyst-2.ai/analysis/kaggle-financial-market-screener-c319/db8cf920/?iid=003-370&v=presentation
    Explore at:
    Dataset updated
    Feb 1, 2001
    Dataset authored and provided by
    Analyst-2 (analyst-2.ai) / Inspirient GmbH (inspirient.com)
    License

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

    Description

    Analysis of ‘📊 Financial market screener’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://www.kaggle.com/pierrelouisdanieau/financial-market-screener on 28 January 2022.

    --- Dataset description provided by original source is as follows ---

    Context

    In this dataset you will find several characteristics on global companies listed on the stock exchange. These characteristics are analyzed by millions of investors before they invest their money.

    Analyze the stock market performance of thousands of companies ! This is the objective of this dataset !

    Content

    Among thse charateristics you will find :

    • The symbol : The stock symbol is a unique series of letters assigned to a security for trading purposes.
    • The shortname : The name of the company
    • The sector : The sector of the company (Technology, Financial services, consumer cyclical...)
    • The country : The location of the head office.
    • The market capitalisation : Market capitalization refers to the total dollar market value of a company's outstanding shares of stock. It is calculated by multiplying the total number of a company's outstanding shares by the current market price of one share.
    • The current ratio : The current ratio is a liquidity ratio that measures a company’s ability to pay short-term obligations. A current ratio that is in line with the industry average or slightly higher is generally considered acceptable. A current ratio that is lower than the industry average may indicate a higher risk of distress or default.
    • The beta : Beta is a measure of a stock's volatility in relation to the overall market. A beta greater than 1.0 suggests that the stock is more volatile than the broader market, and a beta less than 1.0 indicates a stock with lower volatility.
    • The dividend rate : Represents the ratio of a company's annual dividend compared to its share price. (%)

    All this data is public data, obtained from the annual financial reports of these companies. They have been retrieved from the Yahoo Finance API and have been checked beforehand.

    Inspiration

    This dataset has been designed so that it is possible to build a recommendation engine. For example, from an existing position in a portfolio, recommend an alternative with similar characteristics (sector, market capitalization, current ratio,...) but more in line with an investor's expectations (may be with less risk or with more dividends etc...)

    If you have question about this dataset you can contact me

    --- Original source retains full ownership of the source dataset ---

  6. o

    Yahoo Finance Business Information Dataset

    • opendatabay.com
    .undefined
    Updated Jun 23, 2025
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    Bright Data (2025). Yahoo Finance Business Information Dataset [Dataset]. https://www.opendatabay.com/data/premium/c7c8bf69-7728-4527-a2a2-7d1506e02263
    Explore at:
    .undefinedAvailable download formats
    Dataset updated
    Jun 23, 2025
    Dataset authored and provided by
    Bright Data
    Area covered
    Finance & Banking Analytics
    Description

    Yahoo Finance Business Information dataset to access comprehensive details on companies, including financial data and business profiles. Popular use cases include market analysis, investment research, and competitive benchmarking.

    Use our Yahoo Finance Business Information dataset to access comprehensive financial and corporate data, including company profiles, stock prices, market capitalization, revenue, and key performance metrics. This dataset is tailored for financial analysts, investors, and researchers to analyze market trends and evaluate company performance.

    Popular use cases include investment research, competitor benchmarking, and trend forecasting. Leverage this dataset to make informed financial decisions, identify growth opportunities, and gain a deeper understanding of the business landscape.

    Dataset Features

    • name: Represents the company name.
    • company_id: Unique identifier assigned to each company.
    • entity_type: Denotes the type/category of the business entity.
    • summary: A brief description or summary of the company.
    • stock_ticker: The ticker symbol used for trading on stock exchanges.
    • currency: The currency in which financial values are expressed.
    • earnings_date: The date for the reported earnings.
    • exchange: The stock exchange on which the company is listed.
    • closing_price: The final stock price at the end of the trading day.
    • previous_close: The stock price at the close of the previous trading day.
    • open: The price at which the stock opened for the trading day.
    • bid: The current highest price that a buyer is willing to pay for the stock.
    • ask: The current lowest price that a seller is willing to accept.
    • day_range: The range between the lowest and highest prices during the trading day.
    • week_range: A broader price range over the past week.
    • volume: Number of shares that traded in the session.
    • avg_volume: Average daily share volume over a specific period.
    • market_cap: Total market capitalization of the company.
    • beta: A measure of the stock's volatility in comparison to the market.
    • pe_ratio: Price-to-earnings ratio for valuation.
    • eps: Earnings per share.
    • dividend_yield: Dividend yield percentage.
    • ex_dividend_date: The date on which the stock trades without the right to the declared dividend.
    • target_est: The analyst's target price estimate.
    • url: The URL to more detailed company information.
    • people_also_watch: Companies frequently watched alongside this company.
    • similar: Other companies with similar profiles.
    • risk_score: A quantified risk score.
    • risk_score_text: A textual interpretation of the risk score.
    • risk_score_percentile: The risk score expressed in percentile terms.
    • recommendation_rating: Analyst recommendation ratings.
    • analyst_price_target: Analyst provided stock price target.
    • company_profile_address: Company address from the profile.
    • company_profile_website: URL for the company’s website.
    • company_profile_phone: Contact phone number.
    • company_profile_sector: The sector in which the company operates.
    • company_profile_industry: Industry classification of the company.
    • company_profile_employees: Number of employees in the company.
    • company_profile_description: A detailed profile description of the company.
    • valuation_measures: Contains key valuation ratios and metrics such as enterprise value, price-to-book, and price-to-sales ratios.
    • Financial_highlights: Offers summary financial statistics including EPS, profit margin, revenue, and cash flow indicators.
    • financials: This column appears to provide financial statement data.
    • financials_quarterly: Similar to the previous field but intended to capture quarterly financial figures.
    • earnings_estimate: Contains consensus earnings estimates including average, high, and low estimates along with the number of analysts involved.
    • revenue_estimate: Provides revenue estimates with details such as average estimate, high and low values, and sales growth factors.
    • earnings_history: This field tracks historical earnings and surprises by comparing actual EPS with estimates.
    • eps_trend: Contains information on how the EPS has trended over various recent time intervals.
    • eps_revisions: Captures recent changes in EPS forecasts.
    • growth_estimates: Offers projections related to growth prospects over different time horizons.
    • top_analysts: Intended to list the top analysts covering the company.
    • upgrades_and_downgrades: This field shows recent analyst upgrades or downgrades.
    • recent_news: Meant to contain recent news articles related to the company.
    • fanacials_currency: Appears to indicate the currency used for financial reporting or valuation in the dataset.
    • **company_profile_he
  7. T

    China Shanghai Composite Stock Market Index Data

    • tradingeconomics.com
    • jp.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Aug 7, 2023
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    TRADING ECONOMICS (2023). China Shanghai Composite Stock Market Index Data [Dataset]. https://tradingeconomics.com/china/stock-market
    Explore at:
    xml, csv, excel, jsonAvailable download formats
    Dataset updated
    Aug 7, 2023
    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 - Jul 4, 2025
    Area covered
    China
    Description

    China's main stock market index, the SHANGHAI, rose to 3472 points on July 4, 2025, gaining 0.32% from the previous session. Over the past month, the index has climbed 2.61% and is up 17.71% compared to the same time last year, 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 July of 2025.

  8. T

    Argentina Stock Market (MERVAL) Data

    • tradingeconomics.com
    • id.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated May 15, 2025
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    TRADING ECONOMICS (2025). Argentina Stock Market (MERVAL) Data [Dataset]. https://tradingeconomics.com/argentina/stock-market
    Explore at:
    excel, json, csv, xmlAvailable download formats
    Dataset updated
    May 15, 2025
    Dataset authored and provided by
    TRADING ECONOMICS
    License

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

    Time period covered
    Jun 3, 1991 - Jul 4, 2025
    Area covered
    Argentina
    Description

    Argentina's main stock market index, the Merval, rose to 2079392 points on July 4, 2025, gaining 0.06% from the previous session. Over the past month, the index has declined 2.11%, though it remains 27.65% higher than a year ago, according to trading on a contract for difference (CFD) that tracks this benchmark index from Argentina. Argentina Stock Market (MERVAL) - values, historical data, forecasts and news - updated on July of 2025.

  9. T

    Block | SQ - Stock Price | Live Quote | Historical Chart

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Jun 11, 2017
    + more versions
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    TRADING ECONOMICS (2017). Block | SQ - Stock Price | Live Quote | Historical Chart [Dataset]. https://tradingeconomics.com/sq:us
    Explore at:
    xml, csv, json, excelAvailable download formats
    Dataset updated
    Jun 11, 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 5, 2025
    Area covered
    United States
    Description

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

  10. T

    Canada Stock Market Index (TSX) Data

    • tradingeconomics.com
    • de.tradingeconomics.com
    • +13more
    csv, excel, json, xml
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    TRADING ECONOMICS, Canada Stock Market Index (TSX) Data [Dataset]. https://tradingeconomics.com/canada/stock-market
    Explore at:
    csv, xml, excel, 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
    Jun 29, 1979 - Jul 4, 2025
    Area covered
    Canada
    Description

    Canada's main stock market index, the TSX, rose to 27036 points on July 4, 2025, gaining 0.01% from the previous session. Over the past month, the index has climbed 2.63% and is up 22.56% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks this benchmark index from Canada. Canada Stock Market Index (TSX) - values, historical data, forecasts and news - updated on July of 2025.

  11. T

    Yandex | YNDX - Stock Price | Live Quote | Historical Chart

    • tradingeconomics.com
    csv, excel, json, xml
    Updated May 31, 2017
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    TRADING ECONOMICS (2017). Yandex | YNDX - Stock Price | Live Quote | Historical Chart [Dataset]. https://tradingeconomics.com/yndx:rm
    Explore at:
    json, xml, csv, excelAvailable 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 - Jul 2, 2025
    Description

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

  12. T

    Everest Re | RE - Stock Price | Live Quote | Historical Chart

    • tradingeconomics.com
    csv, excel, json, xml
    Updated May 29, 2017
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    TRADING ECONOMICS (2017). Everest Re | RE - Stock Price | Live Quote | Historical Chart [Dataset]. https://tradingeconomics.com/re:us
    Explore at:
    json, excel, xml, csvAvailable download formats
    Dataset updated
    May 29, 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

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

  13. T

    CRB Commodity Index - Price Data

    • tradingeconomics.com
    • de.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated May 27, 2017
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    TRADING ECONOMICS (2017). CRB Commodity Index - Price Data [Dataset]. https://tradingeconomics.com/commodity/crb
    Explore at:
    csv, json, excel, xmlAvailable download formats
    Dataset updated
    May 27, 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 3, 1994 - Jul 3, 2025
    Area covered
    World
    Description

    CRB Index fell to 368.57 Index Points on July 3, 2025, down 0.25% from the previous day. Over the past month, CRB Index's price has risen 1.49%, and is up 6.95% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. CRB Commodity Index - values, historical data, forecasts and news - updated on July of 2025.

  14. T

    Gazprom | GAZP - Stock Price | Live Quote | Historical Chart

    • tradingeconomics.com
    csv, excel, json, xml
    Updated May 26, 2017
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    TRADING ECONOMICS (2017). Gazprom | GAZP - Stock Price | Live Quote | Historical Chart [Dataset]. https://tradingeconomics.com/gazp:rm
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    excel, json, csv, xmlAvailable download formats
    Dataset updated
    May 26, 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 5, 2025
    Description

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

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Sheikh Muhammad Abdullah (2024). Top Global Companies Innovators & Giants 🌍🏢 [Dataset]. https://www.kaggle.com/datasets/abdmental01/top-companies
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Top Global Companies Innovators & Giants 🌍🏢

Pioneering Innovations and Dominating Markets Worldwide 🚀🌎

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CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
Dataset updated
Jun 7, 2024
Dataset provided by
Kagglehttp://kaggle.com/
Authors
Sheikh Muhammad Abdullah
License

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

Description

Data Description

The dataset provided includes information about various companies, their stock symbols, financial metrics such as price-to-book ratio and share price, as well as details about their origin countries. Additionally, the dataset contains frequency distribution information for certain ranges of price-to-book ratios and share prices.

About Data

The dataset appears to be a compilation of financial data for different companies, likely for investment analysis or comparison purposes. It includes the following key components:

  • Rank: Rank of the company based on some criteria (not explicitly mentioned).
  • Company: Name of the company.
  • Stock Symbol: Symbol used to identify the company's stock in trading.
  • Price to Book Ratio: Financial metric indicating the relationship between a company's market value and its book value.
  • Share Price (USD): Price of a single share of the company's stock in US dollars.
  • Company Origin: Country where the company is based.
  • Label Count: Frequency distribution information for certain ranges of price-to-book ratios and share prices.

This dataset can be utilized for various financial analyses such as company valuation, comparison of financial metrics across companies, and investment decision-making.

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