Canada's main stock market index, the TSX, fell to 27023 points on July 11, 2025, losing 0.22% from the previous session. Over the past month, the index has climbed 1.53% and is up 19.18% 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.

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 13 of 2025.

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 (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.

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 July 13 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 ...).

The S&P/TSX Composite index, comprised of around *** 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 ** percent of the total market capitalization of the Toronto Stock Exchange, which is the main Canadian stock exchange.

Stock market index in Canada, June, 2025 The most recent value is 185.05 points as of June 2025, an increase compared to the previous value of 179.06 points. Historically, the average for Canada from January 1960 to June 2025 is 47.38 points. The minimum of 3.45 points was recorded in July 1960, while the maximum of 185.05 points was reached in June 2025. | TheGlobalEconomy.com

The North American mutual fund industry, exhibiting a Compound Annual Growth Rate (CAGR) exceeding 5%, presents a robust investment landscape. Driven by increasing household savings, favorable regulatory environments, and the growing adoption of digital investment platforms, the market is poised for significant expansion throughout the forecast period (2025-2033). The industry is segmented by fund type (equity, bond, hybrid, money market) and investor type (households, institutional investors), with the United States dominating the market share within North America, followed by Canada and Mexico. Major players like Vanguard, Fidelity Investments, BlackRock, and others compete fiercely, offering diversified product portfolios to cater to various investor risk appetites and financial goals. The increasing demand for passive investment strategies, including index funds and ETFs, alongside the growing adoption of robo-advisors, are shaping the industry's future. While regulatory changes and market volatility pose potential restraints, the overall outlook remains positive, fueled by long-term growth prospects and a rising investor base seeking professional asset management solutions. The substantial market size, estimated at several trillion dollars in 2025, reflects the maturity and significance of this sector. Growth is expected to be particularly strong in the equity and hybrid fund categories, driven by investor confidence and a desire for higher returns. The institutional investor segment is likely to maintain a significant share of the market, with continued institutional allocations to mutual funds for diversification and long-term investment strategies. Geographical diversification within North America will continue, with potential for higher growth rates in Canada and Mexico compared to the already large US market. Competition among leading firms will remain intense, prompting innovation in product offerings, investment strategies, and customer service to maintain market share and attract new investors. The industry's ongoing adaptation to technological advancements and evolving investor preferences will be crucial for sustained success in the coming years. This report provides a detailed analysis of the North America mutual fund industry, covering the period from 2019 to 2033. It offers in-depth insights into market size, growth drivers, challenges, and future trends, incorporating data from the historical period (2019-2024), base year (2025), and forecast period (2025-2033). The report is crucial for investors, fund managers, and industry stakeholders seeking a comprehensive understanding of this dynamic market. Key search terms included: North America mutual funds, mutual fund industry trends, US mutual fund market, Canadian mutual funds, mutual fund investments, equity funds, bond funds, investment management, financial services. Recent developments include: In 2021, Fidelity Investements along with Visa backed Jumo, an emerging fintech startup which offers savings and credit products to entrepreneurs in emerging markets, as well as financial services infrastructure to partners such as eMoney operators, mobile fintech platforms and banks. it raised atotal of USD 120 million., In Dec 2021, T. Rowe Price Group, Inc. announced its acquisition of Oak Hill Advisors, L.P. (OHA), a leading alternative credit manager. The acquisition accelerates T. Rowe Price's expansion into alternative credit markets, complementing its existing global platform and ongoing strategic investments in its core investments and distribution capabilities.. Notable trends are: Market Securities Held By Mutual Funds in United States.

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 ...).

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

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.

Canadian General Investments (CGI): A Dividend Darling or a Value Trap?

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

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.

XSB:TSX iShares Core Canadian Short Term Bond Index ETF

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

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.

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 ...).

Equity Market Index: USD data was reported at 154.210 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

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.

Canadian Financial Markets Research Centre (CFMRC) summary information database (or CFMRC TSX database for short) includes daily and monthly Toronto Stock Exchange trading information about specific securities as well as information on "price adjustments" such as dividends, stock splits, recapitalizations, etc. The database also includes daily and monthly indexes containing information on daily and monthly index levels as well as selected other financial markets information. CFMRC/TSX highlights: expanded daily data set includes opening as well as closing data for: prices; bids; asks; trades; and volumes, amongst other information expanded monthly data set includes: betas; earnings per share; volume; and transactions, amongst other data expanded daily and monthly index data sets which include: a selection of interest and exchange rates; TMX Group indices; new under- and over- $2.00 indices, as well as other data CHASS is maintaining two web interfaces: CFMRC/TSX annual update - updated once a year, usually at the beginning of the calendar year. CFMRC/TSX quarterly update - updated four times a year.