Canada's main stock market index, the TSX, fell to 30943 points on December 2, 2025, losing 0.51% from the previous session. Over the past month, the index has climbed 2.21% and is up 20.70% 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 December of 2025.

This table contains 25 series, with data for years 1956 - present (not all combinations necessarily have data for all years). This table contains data described by the following dimensions (Not all combinations are available): Geography (1 items: Canada ...), Toronto Stock Exchange Statistics (25 items: Standard and Poor's/Toronto Stock Exchange Composite Index; high; Standard and Poor's/Toronto Stock Exchange Composite Index; close; Toronto Stock Exchange; oil and gas; closing quotations; Standard and Poor's/Toronto Stock Exchange Composite Index; low ...).

Prices for Canada Stock Market Index (TSX) including live quotes, historical charts and news. Canada Stock Market Index (TSX) was last updated by Trading Economics this December 2 of 2025.

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.

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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.

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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.

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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.

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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...

Prices for Canada TSX 60 Stock Market Index including live quotes, historical charts and news. Canada TSX 60 Stock Market Index was last updated by Trading Economics this December 2 of 2025.

The S&P/TSX Composite index (CAD) closed at ********* points at the end of 2024. This was an increase over the past year. What is the S&P/TSX Composite index? The S&P/TSX Composite index is a Canadian index that measures stocks on the Toronto Stock Exchange, one of the largest stock exchanges worldwide. A stock market index tracks the development of a group of stock prices. It allows to get a quick idea of economic climate in a given region. Canadian stock market The size of a stock exchange is basically the sum of market capitalizations of companies being traded on this stock exchange. The largest companies in terms of market capitalization in Canada in 2024 were the Royal Bank of Canada, and Toronto Dominion Bank. The total market capitalization of listed domestic companies in Canada equaled to **** trillion U.S. dollars in 2022.

Historical dataset of the Canada Stock Market Index (S&P/TSX Composite), covering values from 1979-07-01 to 2025-11-14, with the latest releases and long-term trends. Available for free download in CSV format.

Index Time Series for S&P/TSX Composite Total Return. The frequency of the observation is daily. Moving average series are also typically included.

Explore LSEG's Toronto Stock Exchange (TSX) Market Data, representing a broad range of businesses from Canada and abroad.

Common-Stock-Shares-Outstanding Time Series for TMX Group Limited. TMX Group Limited operates exchanges, markets, and clearinghouses primarily for capital markets in Canada, the United States, the United Kingdom, Germany, and internationally. It operates in four segments: Global Solutions, Insights & Analytics; Capital Formation; Derivatives Trading & Clearing; and Equities and Fixed Income Trading & Clearing. The Global Solutions, Insights & Analytics segment delivers equities and index data, as well as integrated data sets for the proprietary and third party analytics to help clients in making trading and investment decisions; and provides solutions to European and global wholesale energy markets for price discovery, trade execution, post-trade transparency, and straight through processing. The Capital Formation segment operates Toronto Stock Exchange, a national stock exchange for the senior equities market; TSX Venture Exchange, a national stock exchange for the public venture equity market; TSX Trust that provides corporate trust, registrar, transfer agency, and foreign exchange services; and Newsfile, a news dissemination and regulatory filing provider. The Derivatives Trading & Clearing segment operates Montreal Exchange, a national derivatives exchange; Canadian Derivatives Clearing Corporation, a clearinghouse for options and futures contracts; BOX, a US equity operations market; and various over-the-counter products and fixed income repurchase agreements. The Equities and Fixed Income Trading & Clearing segment engages in the trading operations of Toronto Stock Exchange, TSX Venture Exchange, and TSX Alpha Exchange; CDS Clearing, an automated facility for the clearing and settlement of equities and fixed income transactions, and custody of securities; and provision of fixed income inter-dealer brokerage services. The company was formerly known as Maple Group Acquisition Corporation and changed its name to TMX Group Limited in August 2012. TMX Group Limited was incorporated in 2011 and is headquartered in Toronto, Canada.

This table contains 30 series, with data for years 1900 - 1979 (not all combinations necessarily have data for all years), and was last released on 2000-02-19. This table contains data described by the following dimensions (Not all combinations are available): Geography (1 items: Canada ...), Industries (30 items: Manufacturing industries; food and beverage; Clothing and knitting mills; Textile products industries; Tobacco; rubber; primary metals; electrical; non-metallic mineral; petroleum and coal and miscellaneous manufacturing industries ...).

Actual value and historical data chart for Canada Stock Market Return Percent Year On Year

Stock-Based-Compensation Time Series for TMX Group Limited. TMX Group Limited operates exchanges, markets, and clearinghouses primarily for capital markets in Canada, the United States, the United Kingdom, Germany, and internationally. It operates in four segments: Global Solutions, Insights & Analytics; Capital Formation; Derivatives Trading & Clearing; and Equities and Fixed Income Trading & Clearing. The Global Solutions, Insights & Analytics segment delivers equities and index data, as well as integrated data sets for the proprietary and third party analytics to help clients in making trading and investment decisions; and provides solutions to European and global wholesale energy markets for price discovery, trade execution, post-trade transparency, and straight through processing. The Capital Formation segment operates Toronto Stock Exchange, a national stock exchange for the senior equities market; TSX Venture Exchange, a national stock exchange for the public venture equity market; TSX Trust that provides corporate trust, registrar, transfer agency, and foreign exchange services; and Newsfile, a news dissemination and regulatory filing provider. The Derivatives Trading & Clearing segment operates Montreal Exchange, a national derivatives exchange; Canadian Derivatives Clearing Corporation, a clearinghouse for options and futures contracts; BOX, a US equity operations market; and various over-the-counter products and fixed income repurchase agreements. The Equities and Fixed Income Trading & Clearing segment engages in the trading operations of Toronto Stock Exchange, TSX Venture Exchange, and TSX Alpha Exchange; CDS Clearing, an automated facility for the clearing and settlement of equities and fixed income transactions, and custody of securities; and provision of fixed income inter-dealer brokerage services. The company was formerly known as Maple Group Acquisition Corporation and changed its name to TMX Group Limited in August 2012. TMX Group Limited was incorporated in 2011 and is headquartered in Toronto, Canada.

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

TA:TSX Stock: Are We Headed for a Recession?

Financial data:

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

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

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

Machine learning features:

• Feature engineering based on financial data and technical indicators

• Sentiment analysis data from social media and news articles

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

Potential Applications:

• Stock price prediction

• Portfolio optimization

• Algorithmic trading

• Market sentiment analysis

• Risk management

Use Cases:

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

• Analysts developing quantitative trading Buy/Sell strategies

• Individuals interested in building their own stock market prediction models

• Students learning about machine learning and financial applications

Additional Notes:

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

• Data cleaning and preprocessing are essential before model training

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

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

RY:TSX Royal Bank of Canada

Financial data:

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

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

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

Machine learning features:

• Feature engineering based on financial data and technical indicators

• Sentiment analysis data from social media and news articles

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

Potential Applications:

• Stock price prediction

• Portfolio optimization

• Algorithmic trading

• Market sentiment analysis

• Risk management

Use Cases:

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

• Analysts developing quantitative trading Buy/Sell strategies

• Individuals interested in building their own stock market prediction models

• Students learning about machine learning and financial applications

Additional Notes:

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

• Data cleaning and preprocessing are essential before model training

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

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

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

TNX:TSX Stock: A Spark That Could Fizzle

Financial data:

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

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

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

Machine learning features:

• Feature engineering based on financial data and technical indicators

• Sentiment analysis data from social media and news articles

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

Potential Applications:

• Stock price prediction

• Portfolio optimization

• Algorithmic trading

• Market sentiment analysis

• Risk management

Use Cases:

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

• Analysts developing quantitative trading Buy/Sell strategies

• Individuals interested in building their own stock market prediction models

• Students learning about machine learning and financial applications

Additional Notes:

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

• Data cleaning and preprocessing are essential before model training

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

Cash-Ratio Time Series for TMX Group Limited. TMX Group Limited operates exchanges, markets, and clearinghouses primarily for capital markets in Canada, the United States, the United Kingdom, Germany, and internationally. It operates in four segments: Global Solutions, Insights & Analytics; Capital Formation; Derivatives Trading & Clearing; and Equities and Fixed Income Trading & Clearing. The Global Solutions, Insights & Analytics segment delivers equities and index data, as well as integrated data sets for the proprietary and third party analytics to help clients in making trading and investment decisions; and provides solutions to European and global wholesale energy markets for price discovery, trade execution, post-trade transparency, and straight through processing. The Capital Formation segment operates Toronto Stock Exchange, a national stock exchange for the senior equities market; TSX Venture Exchange, a national stock exchange for the public venture equity market; TSX Trust that provides corporate trust, registrar, transfer agency, and foreign exchange services; and Newsfile, a news dissemination and regulatory filing provider. The Derivatives Trading & Clearing segment operates Montreal Exchange, a national derivatives exchange; Canadian Derivatives Clearing Corporation, a clearinghouse for options and futures contracts; BOX, a US equity operations market; and various over-the-counter products and fixed income repurchase agreements. The Equities and Fixed Income Trading & Clearing segment engages in the trading operations of Toronto Stock Exchange, TSX Venture Exchange, and TSX Alpha Exchange; CDS Clearing, an automated facility for the clearing and settlement of equities and fixed income transactions, and custody of securities; and provision of fixed income inter-dealer brokerage services. The company was formerly known as Maple Group Acquisition Corporation and changed its name to TMX Group Limited in August 2012. TMX Group Limited was incorporated in 2011 and is headquartered in Toronto, Canada.

Key information about Canada S&P/TSX Composite

• Canada S&P/TSX Composite closed at 31,382.8 points in Nov 2025, compared with 30,260.7 points at the previous month end
• Canada Equity Market Index: Month End: TMX: S&P/TSX Composite data is updated monthly, available from May 2002 to Nov 2025, with an average number of 14,209.6 points
• The data reached an all-time high of 31,382.8 points in Nov 2025 and a record low of 6,180.4 points in Sep 2002

Canada: Stock market capitalization, billion USD: The latest value from 2024 is 3374.48 billion U.S. dollars, an increase from 3099.14 billion U.S. dollars in 2023. In comparison, the world average is 1647.20 billion U.S. dollars, based on data from 68 countries. Historically, the average for Canada from 1977 to 2024 is 1267.66 billion U.S. dollars. The minimum value, 173.94 billion U.S. dollars, was reached in 1977 while the maximum of 3374.48 billion U.S. dollars was recorded in 2024.