100+ datasets found
  1. T

    DXY Dollar Index - Currency Exchange Rate Live Price Chart

    • tradingeconomics.com
    csv, excel, json, xml
    Updated May 28, 2017
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    TRADING ECONOMICS (2017). DXY Dollar Index - Currency Exchange Rate Live Price Chart [Dataset]. https://tradingeconomics.com/dxy:cur
    Explore at:
    json, xml, excel, 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 - Dec 2, 2025
    Description

    Prices for DXY Dollar Index including live quotes, historical charts and news. DXY Dollar Index was last updated by Trading Economics this December 2 of 2025.

  2. F

    Nominal Broad U.S. Dollar Index

    • fred.stlouisfed.org
    json
    Updated Dec 1, 2025
    + more versions
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    (2025). Nominal Broad U.S. Dollar Index [Dataset]. https://fred.stlouisfed.org/series/DTWEXBGS
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Dec 1, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Description

    Graph and download economic data for Nominal Broad U.S. Dollar Index (DTWEXBGS) from 2006-01-02 to 2025-11-28 about trade-weighted, broad, exchange rate, currency, goods, services, rate, indexes, and USA.

  3. Monthly U.S. Dollar Index (DXY) development 1973-2025

    • statista.com
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    Statista, Monthly U.S. Dollar Index (DXY) development 1973-2025 [Dataset]. https://www.statista.com/statistics/1404145/us-dollar-index-historical-chart/
    Explore at:
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Nov 10, 2025
    Area covered
    United States
    Description

    The US dollar index of November 10, 2025 was lower than it was in October 2025, although still above the level in June 2025, the lowest value in the current year. This reveals itself in a historical graphic on the past 50 years, measuring the relative strength of the U.S. dollar. This metric is different from other FX graphics that compare the U.S. dollar against other currencies. By October 1, 2025, the DXY index was around 97.66 points. The history of the DXY Index The index shown here – often referred to with the code DXY or USDX -measures the value of the U.S. dollar compared to a basket of six other foreign currencies. This basket includes the euro, the Swiss franc, the Japanese yen, the Canadian dollar, the British pound, and the Swedish króna. The index was created in 1973, after the arrival of the petrodollar and the dissolution of the Bretton Woods Agreement. Today, most of these currencies remain connected to the United States' largest trade partners. The relevance of the DXY Index The index focuses on trade and the strength of the U.S. dollar against specific currencies. It's less about inflation or devaluation, which is measured in alternative metrics like the Big Mac Index. Indeed, as the methodology behind the DXY Index has only been updated once – when the euro arrived in 1999 – some argue this composition is not accurate to the current state of the world. The price development of the U.S. dollar affects many things, including commodity prices in general.

  4. 2019-2024 US Stock Market Data

    • kaggle.com
    zip
    Updated Feb 4, 2024
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    Saket Kumar (2024). 2019-2024 US Stock Market Data [Dataset]. https://www.kaggle.com/datasets/saketk511/2019-2024-us-stock-market-data
    Explore at:
    zip(159095 bytes)Available download formats
    Dataset updated
    Feb 4, 2024
    Authors
    Saket Kumar
    License

    http://opendatacommons.org/licenses/dbcl/1.0/http://opendatacommons.org/licenses/dbcl/1.0/

    Description

    This dataset encapsulates a detailed examination of market dynamics over a five-year period, focusing on the fluctuation of prices and trading volumes across a diversified portfolio. It covers various sectors including energy commodities like natural gas and crude oil, metals such as copper, platinum, silver, and gold, cryptocurrencies including Bitcoin and Ethereum, and key stock indices and companies like the S&P 500, Nasdaq 100, Apple, Tesla, Microsoft, Google, Nvidia, Berkshire Hathaway, Netflix, Amazon, and Meta Platforms. This dataset serves as a valuable resource for analyzing trends and patterns in global markets.

    Date: The date of the recorded data, formatted as DD-MM-YYYY. Natural_Gas_Price: Price of natural gas in USD per million British thermal units (MMBtu). Natural_Gas_Vol.: Trading volume of natural gas Crude_oil_Price: Price of crude oil in USD per barrel. Crude_oil_Vol.: Trading volume of crude oil Copper_Price: Price of copper in USD per pound. Copper_Vol.: Trading volume of copper Bitcoin_Price: Price of Bitcoin in USD. Bitcoin_Vol.: Trading volume of Bitcoin Platinum_Price: Price of platinum in USD per troy ounce. Platinum_Vol.: Trading volume of platinum Ethereum_Price: Price of Ethereum in USD. Ethereum_Vol.: Trading volume of Ethereum S&P_500_Price: Price index of the S&P 500. Nasdaq_100_Price: Price index of the Nasdaq 100. Nasdaq_100_Vol.: Trading volume for the Nasdaq 100 index Apple_Price: Stock price of Apple Inc. in USD. Apple_Vol.: Trading volume of Apple Inc. stock Tesla_Price: Stock price of Tesla Inc. in USD. Tesla_Vol.: Trading volume of Tesla Inc. stock Microsoft_Price: Stock price of Microsoft Corporation in USD. Microsoft_Vol.: Trading volume of Microsoft Corporation stock Silver_Price: Price of silver in USD per troy ounce. Silver_Vol.: Trading volume of silver Google_Price: Stock price of Alphabet Inc. (Google) in USD. Google_Vol.: Trading volume of Alphabet Inc. stock Nvidia_Price: Stock price of Nvidia Corporation in USD. Nvidia_Vol.: Trading volume of Nvidia Corporation stock Berkshire_Price: Stock price of Berkshire Hathaway Inc. in USD. Berkshire_Vol.: Trading volume of Berkshire Hathaway Inc. stock Netflix_Price: Stock price of Netflix Inc. in USD. Netflix_Vol.: Trading volume of Netflix Inc. stock Amazon_Price: Stock price of Amazon.com Inc. in USD. Amazon_Vol.: Trading volume of Amazon.com Inc. stock Meta_Price: Stock price of Meta Platforms, Inc. (formerly Facebook) in USD. Meta_Vol.: Trading volume of Meta Platforms, Inc. stock Gold_Price: Price of gold in USD per troy ounce. Gold_Vol.: Trading volume of gold

    Image attribute : Image by Freepik

  5. U

    United States US: Stocks Traded: Total Value

    • ceicdata.com
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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 provided by
    CEICdata.com
    License

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

    Time period covered
    Dec 1, 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.

  6. T

    USDDAI US Dollar Dai - Currency Exchange Rate Live Price Chart

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Oct 6, 2022
    + more versions
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    TRADING ECONOMICS (2022). USDDAI US Dollar Dai - Currency Exchange Rate Live Price Chart [Dataset]. https://tradingeconomics.com/usddai:cur
    Explore at:
    xml, json, csv, excelAvailable download formats
    Dataset updated
    Oct 6, 2022
    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 - Dec 2, 2025
    Description

    Prices for USDDAI US Dollar Dai including live quotes, historical charts and news. USDDAI US Dollar Dai was last updated by Trading Economics this December 2 of 2025.

  7. T

    USDXMR US Dollar Monero - Currency Exchange Rate Live Price Chart

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Jun 24, 2022
    + more versions
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    TRADING ECONOMICS (2022). USDXMR US Dollar Monero - Currency Exchange Rate Live Price Chart [Dataset]. https://tradingeconomics.com/usdxmr:cur
    Explore at:
    json, csv, xml, excelAvailable download formats
    Dataset updated
    Jun 24, 2022
    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 - Dec 2, 2025
    Description

    Prices for USDXMR US Dollar Monero including live quotes, historical charts and news. USDXMR US Dollar Monero was last updated by Trading Economics this December 2 of 2025.

  8. T

    MTCUSD Polygon / US Dollar - Currency Exchange Rate Live Price Chart

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Feb 3, 2022
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    TRADING ECONOMICS (2022). MTCUSD Polygon / US Dollar - Currency Exchange Rate Live Price Chart [Dataset]. https://tradingeconomics.com/mtcusd:cur
    Explore at:
    excel, csv, json, xmlAvailable download formats
    Dataset updated
    Feb 3, 2022
    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 - Dec 2, 2025
    Description

    Prices for MTCUSD Polygon / US Dollar including live quotes, historical charts and news. MTCUSD Polygon / US Dollar was last updated by Trading Economics this December 2 of 2025.

  9. Walmart Stock Price from 1972-2022

    • kaggle.com
    zip
    Updated Mar 8, 2022
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    Meet Nagadia (2022). Walmart Stock Price from 1972-2022 [Dataset]. https://www.kaggle.com/datasets/meetnagadia/walmart-stock-price-from-19722022
    Explore at:
    zip(226084 bytes)Available download formats
    Dataset updated
    Mar 8, 2022
    Authors
    Meet Nagadia
    License

    Open Database License (ODbL) v1.0https://www.opendatacommons.org/licenses/odbl/1.0/
    License information was derived automatically

    Description

    Context

    This is a Dataset for Stock Price on Walmart Inc. Note: The Price is in USD currency(US Dollar) This Dataset start from 1972 to 2022 You can perform Time Series Analysis and EDA on data.

    Other Stock Dataset

    Apple Stock Price Dataset

  10. T

    HYPUSD Hyperliquid / US Dollar - Currency Exchange Rate Live Price Chart

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Aug 25, 2025
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    TRADING ECONOMICS (2025). HYPUSD Hyperliquid / US Dollar - Currency Exchange Rate Live Price Chart [Dataset]. https://tradingeconomics.com/hypusd:cur
    Explore at:
    json, csv, excel, xmlAvailable download formats
    Dataset updated
    Aug 25, 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 1, 2000 - Dec 3, 2025
    Description

    Prices for HYPUSD Hyperliquid / US Dollar including live quotes, historical charts and news. HYPUSD Hyperliquid / US Dollar was last updated by Trading Economics this December 3 of 2025.

  11. S&P 500 stock data

    • kaggle.com
    zip
    Updated Feb 10, 2018
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    Cam Nugent (2018). S&P 500 stock data [Dataset]. https://www.kaggle.com/camnugent/sandp500
    Explore at:
    zip(20283917 bytes)Available download formats
    Dataset updated
    Feb 10, 2018
    Authors
    Cam Nugent
    License

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

    Description

    Context

    Stock market data can be interesting to analyze and as a further incentive, strong predictive models can have large financial payoff. The amount of financial data on the web is seemingly endless. A large and well structured dataset on a wide array of companies can be hard to come by. Here I provide a dataset with historical stock prices (last 5 years) for all companies currently found on the S&P 500 index.

    The script I used to acquire all of these .csv files can be found in this GitHub repository In the future if you wish for a more up to date dataset, this can be used to acquire new versions of the .csv files.

    Feb 2018 note: I have just updated the dataset to include data up to Feb 2018. I have also accounted for changes in the stocks on the S&P 500 index (RIP whole foods etc. etc.).

    Content

    The data is presented in a couple of formats to suit different individual's needs or computational limitations. I have included files containing 5 years of stock data (in the all_stocks_5yr.csv and corresponding folder).

    The folder individual_stocks_5yr contains files of data for individual stocks, labelled by their stock ticker name. The all_stocks_5yr.csv contains the same data, presented in a merged .csv file. Depending on the intended use (graphing, modelling etc.) the user may prefer one of these given formats.

    All the files have the following columns: Date - in format: yy-mm-dd

    Open - price of the stock at market open (this is NYSE data so all in USD)

    High - Highest price reached in the day

    Low Close - Lowest price reached in the day

    Volume - Number of shares traded

    Name - the stock's ticker name

    Acknowledgements

    Due to volatility in google finance, for the newest version I have switched over to acquiring the data from The Investor's Exchange api, the simple script I use to do this is found here. Special thanks to Kaggle, Github, pandas_datareader and The Market.

    Inspiration

    This dataset lends itself to a some very interesting visualizations. One can look at simple things like how prices change over time, graph an compare multiple stocks at once, or generate and graph new metrics from the data provided. From these data informative stock stats such as volatility and moving averages can be easily calculated. The million dollar question is: can you develop a model that can beat the market and allow you to make statistically informed trades!

  12. A

    Argentina Index: BCBA: Merval: US Dollars

    • ceicdata.com
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    CEICdata.com, Argentina Index: BCBA: Merval: US Dollars [Dataset]. https://www.ceicdata.com/en/argentina/buenos-aires-stock-exchange-index/index-bcba-merval-us-dollars
    Explore at:
    Dataset provided by
    CEICdata.com
    License

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

    Time period covered
    Mar 1, 2024 - Feb 1, 2025
    Area covered
    Argentina
    Variables measured
    Securities Exchange Index
    Description

    Argentina Index: BCBA: Merval: US Dollars data was reported at 2,085.063 30Jun1986=0.01 in Nov 2025. This records an increase from the previous number of 2,077.929 30Jun1986=0.01 for Oct 2025. Argentina Index: BCBA: Merval: US Dollars data is updated monthly, averaging 711.752 30Jun1986=0.01 from Dec 1990 (Median) to Nov 2025, with 420 observations. The data reached an all-time high of 2,453.251 30Jun1986=0.01 in Dec 2024 and a record low of 88.208 30Jun1986=0.01 in May 2002. Argentina Index: BCBA: Merval: US Dollars data remains active status in CEIC and is reported by Buenos Aires Stock Exchange. The data is categorized under Global Database’s Argentina – Table AR.Z: Buenos Aires Stock Exchange: Index.

  13. Price of Bank of America shares 1990-2023

    • statista.com
    Updated Nov 27, 2025
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    Statista (2025). Price of Bank of America shares 1990-2023 [Dataset]. https://www.statista.com/statistics/378453/price-of-bank-of-america-shares/
    Explore at:
    Dataset updated
    Nov 27, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    The price of Bank of America shares traded on the New York Stock Exchange fluctuated significantly during the period from 1990 to 2023, as of year-end. The price of one Bank of America share amounted to ***** U.S. dollars in 2021, which was the highest price since 2006. At the end of 2022, however, the share price dropped to ***** U.S. dollars, a significant decrease compared to a year earlier. At the end of 2023, the share price of the bank was ***** U.S. dollars.

  14. gold price 2015-2025

    • kaggle.com
    zip
    Updated Aug 15, 2025
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    Md. Anwar Hossain (2025). gold price 2015-2025 [Dataset]. https://www.kaggle.com/datasets/mdanwarhossain200110/gold-price-2015-2025
    Explore at:
    zip(70728 bytes)Available download formats
    Dataset updated
    Aug 15, 2025
    Authors
    Md. Anwar Hossain
    License

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

    Description

    This dataset contains daily historical data of major financial instruments and indexes from January 1, 2015, to August 15, 2025 . It includes the following columns:

    SPX – S&P 500 Index daily closing prices.

    GLD – SPDR Gold Shares ETF daily adjusted closing prices.

    USO – United States Oil Fund ETF daily adjusted closing prices.

    SLV – iShares Silver Trust ETF daily adjusted closing prices.

    EUR/USD – Daily Euro to US Dollar exchange rate.

    The data was collected from Yahoo Finance using the yfinance Python library. The dataset is intended for research, analysis, and educational purposes.

  15. T

    XDRUSD Special drawing rights US Dollar - Currency Exchange Rate Live Price...

    • tradingeconomics.com
    csv, excel, json, xml
    Updated May 29, 2017
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    TRADING ECONOMICS (2017). XDRUSD Special drawing rights US Dollar - Currency Exchange Rate Live Price Chart [Dataset]. https://tradingeconomics.com/xdrusd:cur
    Explore at:
    excel, json, 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 - Dec 2, 2025
    Description

    Prices for XDRUSD Special drawing rights US Dollar including live quotes, historical charts and news. XDRUSD Special drawing rights US Dollar was last updated by Trading Economics this December 2 of 2025.

  16. Size of the global online trading market 2020, with forecasts up until 2026

    • statista.com
    Updated Nov 29, 2025
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    Statista (2025). Size of the global online trading market 2020, with forecasts up until 2026 [Dataset]. https://www.statista.com/statistics/1260026/forecast-global-online-trading-platform-market/
    Explore at:
    Dataset updated
    Nov 29, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2022
    Area covered
    Worldwide
    Description

    It is forecast that the global online trading market will increase at a global compound annual growth rate of *** percent per year, increasing to an estimated **** billion U.S. dollars in 2026. This is from a base of around ***** billion U.S. dollars in 2022. Following the coronavirus pandemic beginning in 2020, online trading activity increased among millennial investors. Many online brokers, including Robinhood, experienced notable growth in the number of platform users from the second quarter of 2020 through to 2021. A low-cost business model, paired with technological integration and social media promotion were contributing factors to the popularity of online trading. What is an online trading platform? The online trading market is typically accessed through an online market broker, providing a platform for users to track market prices and execute buy and sell orders on financial securities. The user typically holds their portfolio through an online broker. The number of monthly downloads for leading online trading apps spiked in early 2021. While this was influenced by media attention to popular news stories such as the increase in the price of GameStop shares, online trading is expected to continue as an alternative to traditional investment methods. Factors driving online trading The integration of technology has improved investing activities. From a global survey, most respondents stated technology made investing easier, cheaper, and more efficient. The use of technology allowed information such as real-time data, industry and firm reports, and trading notifications to be more accessible directly to the investor. Online platforms had experienced an increase in the number of trades placed per day, in 2019, interactive brokers had an average of 1,380 trades placed per day. This number steadily increased to 3,905 trades per day in 2021. Technological integration allowed trading via online platforms to be an alternative to traditional methods of relying on an in-person full-service broker.

  17. End-of-Day Pricing Data Canada Techsalerator

    • kaggle.com
    zip
    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
    Explore at:
    zip(26754 bytes)Available download formats
    Dataset updated
    Aug 24, 2023
    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...

  18. Value of MSCI World USD index 1986-2024

    • statista.com
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    Statista, Value of MSCI World USD index 1986-2024 [Dataset]. https://www.statista.com/statistics/276225/annual-trend-of-the-msci-world-index-since-1969/
    Explore at:
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Worldwide
    Description

    The statistic shows the development of the MSCI World USD Index from 1986 to 2024. The 2024 year-end value of the MSCI World USD index amounted to ******** points. MSCI World USD index – additional information The MSCI World Index, developed by Morgan Stanley Capital International (MSCI), is one of the most important stock indices. It includes stocks from developed countries all over the world and is regarded as benchmark of global stock market. According to MSCI, this index covers about ** percent of the free float-adjusted market capitalization in each country. As seen on the statistics above, in 2024, MSCI World USD index reported its highest value since 1986 amounting, a threefold increase from the figure recorded in 2013, when the year-end value of the MSCI World index was equal to ********. Along with the S&P Global Broad Market, the MSCI World is one of the most important global stock market performance indexes. Aside of including markets around the globe, these two indexes are global in a sense that they disregard where the companies are domiciled or traded, whereas other important indexes such as the Dow Jones Industrial Average, the Japanese index Nikkei 225, Wilshire 5000, the NASDAQ 100 index, have different approaches.

  19. Mastercard monthly share price on the NYSE 2010-2025

    • statista.com
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    Statista, Mastercard monthly share price on the NYSE 2010-2025 [Dataset]. https://www.statista.com/statistics/1331397/mastercard-share-price-development-monthly/
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    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jan 2010 - Jan 2025
    Area covered
    United States
    Description

    The price of Mastercard shares traded on the New York Stock Exchange (NYSE) saw some fluctuations, but increased overall during the period between ************ and ************. The price of Mastercard shares amounted to ****** U.S. dollars as of the end of ************, the highest value recorded during this period.

  20. F

    Capital Stock at Constant National Prices for United States

    • fred.stlouisfed.org
    json
    Updated Feb 27, 2023
    + more versions
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    (2023). Capital Stock at Constant National Prices for United States [Dataset]. https://fred.stlouisfed.org/series/RKNANPUSA666NRUG
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    jsonAvailable download formats
    Dataset updated
    Feb 27, 2023
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Area covered
    United States
    Description

    Graph and download economic data for Capital Stock at Constant National Prices for United States (RKNANPUSA666NRUG) from 1950 to 2019 about stocks, capital, price, and USA.

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TRADING ECONOMICS (2017). DXY Dollar Index - Currency Exchange Rate Live Price Chart [Dataset]. https://tradingeconomics.com/dxy:cur

DXY Dollar Index - Currency Exchange Rate Live Price Chart

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json, xml, excel, 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 - Dec 2, 2025
Description

Prices for DXY Dollar Index including live quotes, historical charts and news. DXY Dollar Index was last updated by Trading Economics this December 2 of 2025.

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