Canada's main stock market index, the TSX, rose to 26857 points on June 30, 2025, gaining 0.62% from the previous session. Over the past month, the index has climbed 1.77% and is up 22.33% 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.

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 ...).

Key information about Canada S&P/TSX Composite

• Canada S&P/TSX Composite closed at 25,393.5 points in Feb 2025, compared with 25,533.1 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 Feb 2025, with an average number of 13,818.0 points
• The data reached an all-time high of 25,648.0 points in Nov 2024 and a record low of 6,180.4 points in Sep 2002

The S&P/TSX Composite index, comprised of around 250 of the largest companies listed on the Toronto Stock Exchange, lost around one third of its value between February 16 and March 15, 2020, owing to the economic impact of the global coronavirus (COVID-19) pandemic. It has since recovered, surpassing its pre-corona level in early 2021.

The S&P/TSX Composite index is considered benchmark index for Canada, and represents around 70 percent of the total market capitalization of the Toronto Stock Exchange, which is the main Canadian stock exchange.

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 June 30 of 2025.

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 July 1 of 2025.

The S&P/TSX Composite index (CAD) closed at 24,727.94 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 2.74 trillion U.S. dollars in 2022.

Stock market index in Canada, March, 2025 The most recent value is 172.96 points as of March 2025, a decline compared to the previous value of 177.39 points. Historically, the average for Canada from January 1960 to March 2025 is 46.88 points. The minimum of 3.45 points was recorded in July 1960, while the maximum of 177.39 points was reached in February 2025. | TheGlobalEconomy.com

This table contains 14 series, with data starting from 1953 (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 ...), Stock market statistics (14 items: Toronto Stock Exchange; value of shares traded; United States common stocks; Dow-Jones industrials; high; United States common stocks; Dow-Jones industrials; low; Toronto Stock Exchange; volume of shares traded ...).

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 ...).

The S&P/TSX Composite Index is a commonly cited indicator of stock market performance in Canada. At the time of writing, it includes about 250 companies and accounts for seven-tenths of the total market capitalization of the Toronto Stock Exchange. The companies included in the index are from various sectors across the economy, including oil, finance, telecommunications, retail and manufacturing. The values presented in this report are the average of December close figures. Data is sourced from Statistics Canada.

Stock market return (%, year-on-year) in Canada was reported at 23.7 % in 2021, according to the World Bank collection of development indicators, compiled from officially recognized sources. Canada - Stock market return (%, year-on-year) - actual values, historical data, forecasts and projections were sourced from the World Bank on July of 2025.

Graph and download economic data for Financial Market: Share Prices for Canada (SPASTT01CAQ661N) from Q1 1956 to Q1 2025 about Canada and stock market.

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...

Equity Market Index: USD data was reported at 149.747 2010=100 in Apr 2025. This records a decrease from the previous number of 154.555 2010=100 for Mar 2025. Equity Market Index: USD data is updated monthly, averaging 90.931 2010=100 from Jan 1990 (Median) to Apr 2025, with 424 observations. The data reached an all-time high of 160.090 2010=100 in Nov 2024 and a record low of 23.148 2010=100 in Nov 1992. Equity Market Index: USD data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Canada – Table CA.World Bank.GEM: Equity Market Index. Local equity market index valued in US$ terms

Graph and download economic data for Financial Market: Share Prices for Canada (SPASTT01CAA661N) from 1956 to 2024 about Canada and stock market.

Canada Equity Market Index: Local Currency data was reported at 206.971 2010=100 in Apr 2025. This records a decrease from the previous number of 212.809 2010=100 for Mar 2025. Canada Equity Market Index: Local Currency data is updated monthly, averaging 99.839 2010=100 from Jan 1990 (Median) to Apr 2025, with 424 observations. The data reached an all-time high of 218.237 2010=100 in Feb 2025 and a record low of 26.631 2010=100 in Oct 1990. Canada Equity Market Index: Local Currency data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Canada – Table CA.World Bank.GEM: Equity Market Index. Local equity market index valued in local currency unit (LCU) terms

In 2025, stock markets in the United States accounted for roughly ** percent of world stocks. The next largest country by stock market share was China, followed by the European Union as a whole. The New York Stock Exchange (NYSE) and the NASDAQ are the largest stock exchange operators worldwide. What is a stock exchange? The first modern publicly traded company was the Dutch East Industry Company, which sold shares to the general public to fund expeditions to Asia. Since then, groups of companies have formed exchanges in which brokers and dealers can come together and make transactions in one space. Stock market indices group companies trading on a given exchange, giving an idea of how they evolve in real time. Appeal of stock ownership Over half of adults in the United States are investing money in the stock market. Stocks are an attractive investment because the possible return is higher than offered by other financial instruments.

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

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.

Canada's Economic Barometer: Where is the S&P/TSX Headed?

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