Canada's main stock market index, the TSX, fell to 28549 points on September 2, 2025, losing 0.06% from the previous session. Over the past month, the index has climbed 3.55% and is up 23.90% 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 September 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.

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 August 31 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.

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

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 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.

Where Will CAE:TSX Stock Be in 6 Month?

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.

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 September of 2025.

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.

CM:TSX Stock Forecast: A Buy For The Next 6 Month

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

Comprehensive dataset of 6 companies listed on Toronto Stock Exchange, including detailed financial information, market data, and corporate filings. This dataset provides real-time updates on trading metrics, company profiles, financial statements, regulatory filings, and market performance indicators. Updated every 30 minutes, it covers key data points such as market capitalization, trading volume, stock prices, company fundamentals, and regulatory compliance information for all listed securities on Toronto Stock Exchange.

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.

The New York Stock Exchange (NYSE) is the largest stock exchange in the world, with an equity market capitalization of almost ** trillion U.S. dollars as of June 2025. The following three exchanges were the NASDAQ, PINK Exchange, and the Frankfurt Exchange. What is a stock exchange? A stock exchange is a marketplace where stockbrokers, traders, buyers, and sellers can trade in equities products. The largest exchanges have thousands of listed companies. These companies sell shares of their business, giving the general public the opportunity to invest in them. The oldest stock exchange worldwide is the Frankfurt Stock Exchange, founded in the late sixteenth century. Other functions of a stock exchange Since these are publicly traded companies, every firm listed on a stock exchange has had an initial public offering (IPO). The largest IPOs can raise billions of dollars in equity for the firm involved. Related to stock exchanges are derivatives exchanges, where stock options, futures contracts, and other derivatives can be traded.

The TSX WTI is the Toronto Stock Exchange benchmark price for West Texas Intermediate crude oil. It serves as a reference point for the Canadian oil market and is influenced by various global and domestic factors. Monitoring the TSX WTI can help investors assess the performance of Canadian energy stocks and gain insights into the overall oil market.

Learn how trading crude oil on the Toronto Stock Exchange (TSX) can provide opportunities for investors to gain exposure to the energy industry and potentially benefit from the performance of oil-related companies. Understand the factors that influence crude oil stock prices on the TSX and the risks associated with commodity investing.

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.

Toronto Dominion (TD): Banking on Innovation or Stagnant Growth?

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

Minority-Interest-Expense Time Series for Boardwalk Real Estate Investment Trust. Boardwalk REIT strives to be Canada's friendliest community provider and is a leading owner/operator of multi-family rental communities. Providing homes in more than 200 communities, with over 34,000 residential suites totaling over 29 million net rentable square feet, Boardwalk has a proven long-term track record of building better communities, where love always lives. Our three-tiered and distinct brands: Boardwalk Living, Boardwalk Communities, and Boardwalk Lifestyle, cater to a large diverse demographic and has evolved to capture the life cycle of all Resident Members. Boardwalk's disciplined approach to capital allocation, acquisition, development, purposeful re-positioning, and management of apartment communities allows the Trust to provide its brand of community across Canada creating exceptional Resident Member experiences. Differentiated by its peak performance culture, Boardwalk is committed to delivering exceptional service, product quality and experience to our Resident Members who reward us with high retention and market leading operating results, which in turn, lead to higher free cash flow and investment returns, stable monthly distributions, and value creation for all our stakeholders. Boardwalk REIT's Trust Units are listed on the Toronto Stock Exchange, trading under the symbol BEI.UN.

Change-To-Liabilities Time Series for Boardwalk Real Estate Investment Trust. Boardwalk REIT strives to be Canada's friendliest community provider and is a leading owner/operator of multi-family rental communities. Providing homes in more than 200 communities, with over 34,000 residential suites totaling over 29 million net rentable square feet, Boardwalk has a proven long-term track record of building better communities, where love always lives. Our three-tiered and distinct brands: Boardwalk Living, Boardwalk Communities, and Boardwalk Lifestyle, cater to a large diverse demographic and has evolved to capture the life cycle of all Resident Members. Boardwalk's disciplined approach to capital allocation, acquisition, development, purposeful re-positioning, and management of apartment communities allows the Trust to provide its brand of community across Canada creating exceptional Resident Member experiences. Differentiated by its peak performance culture, Boardwalk is committed to delivering exceptional service, product quality and experience to our Resident Members who reward us with high retention and market leading operating results, which in turn, lead to higher free cash flow and investment returns, stable monthly distributions, and value creation for all our stakeholders. Boardwalk REIT's Trust Units are listed on the Toronto Stock Exchange, trading under the symbol BEI.UN.

National Instrument 43-101 (the "NI 43-101" or the "NI") is a national instrument for the Standards of Disclosure for Mineral Projects within Canada. The Instrument is a codified set of rules and guidelines for reporting and displaying information related to mineral properties owned by, or explored by, companies which report these results on stock exchanges within Canada. This includes foreign-owned mining entities who trade on stock exchanges overseen by the Canadian Securities Administrators, even if they only trade on Over The Counter (OTC) derivatives or other instrumented securities.

Many publicly held Canadian mineral exploration and mining companies list on the TSX Venture Exchange (TSX-V) or the Toronto Stock Exchange (TSX). Some of these companies may also have listings on stock exchanges outside Canada, such as Johannesburg Stock Exchange, Australian Securities Exchange and London Stock Exchange.

Disclosures covered by the NI 43-101 code include press releases of mineral exploration reports, reporting of resources and reserves, presentations, oral comments, and websites. The NI 43-101 covers metalliferous, precious metals and solid energy commodities as well as bulk minerals, dimension stone, precious stones and mineral sands commodities.

Website: http://web.cim.org/standards/documents/block484_doc111.pdf