Canada's main stock market index, the TSX, fell to 27370 points on July 30, 2025, losing 0.62% from the previous session. Over the past month, the index has climbed 1.86% and is up 18.43% 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 Stock Market Index (TSX) including live quotes, historical charts and news. Canada Stock Market Index (TSX) was last updated by Trading Economics this July 31 of 2025.

Graph and download economic data for Financial Market: Share Prices for Canada (SPASTT01CAM661N) from Jan 1956 to Jun 2025 about Canada and stock market.

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 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 30 of 2025.

Graph and download economic data for Share Prices: All Shares/Broad: Total for Canada (SPASTT01CAM657N) from Feb 1956 to May 2025 about Canada and stock market.

Stock price volatility in Canada was reported at 22.87 in 2021, according to the World Bank collection of development indicators, compiled from officially recognized sources. Canada - Stock price volatility - actual values, historical data, forecasts and projections were sourced from the World Bank on July 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.

Graph and download economic data for Financial Market: Share Prices for Canada (SPASTT01CAQ661N) from Q1 1956 to Q2 2025 about Canada and stock market.

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

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

The end-of-year common share closing price of Royal Bank of Canada (RBC) increased notably in 2024 compared to the previous year, marking the year with the highest share prices since 1997. At the end of 2024, the share price of RBC stood at 168.39 Canadian dollars, up from 110.76 Canadian dollars a year earlier.

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 ...).

Between February and April 2020, the value of H&R REIT's stocks decreased by ***** percent. Their stock price fell from ***** Canadian dollars to **** Canadian dollars in this period. In contrast, the average loss on the Toronto Stock Exchange (TSX) was ***** percent for the same period, as the coronavirus outbreak in the end of 2019 had a significant impact on the real estate investment sector in Canada.

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

📈 Daily Historical Stock Price Data for Air Canada (2010–2025)

A clean, ready-to-use dataset containing daily stock prices for Air Canada from 2010-03-30 to 2025-05-28. This dataset is ideal for use in financial analysis, algorithmic trading, machine learning, and academic research.

  🗂️ Dataset Overview

Company: Air Canada Ticker Symbol: AC.TO Date Range: 2010-03-30 to 2025-05-28 Frequency: Daily Total Records: 3803 rows (one per trading day)

  🔢 Columns… See the full description on the dataset page: https://huggingface.co/datasets/khaledxbenali/daily-historical-stock-price-data-for-air-canada-20102025.

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

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

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

Graph and download economic data for Share Prices: All Shares/Broad: Total for Canada (SPASTT01CAQ657N) from Q2 1956 to Q2 2025 about Canada and stock market.