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.

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...

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

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

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

A dataset of key technical indicators for S&P/TSX Composite Index, including RSI and MACD, used for technical analysis.

The global Thermal Crystal (TSX) market is poised for substantial growth, projected to reach an estimated market size of [Estimate based on CAGR and base year value – e.g., $1.5 Billion] in 2025, with a compound annual growth rate (CAGR) of [Estimate CAGR – e.g., 7.8%] through 2033. This robust expansion is primarily fueled by the escalating demand for advanced electronic components in burgeoning sectors such as 5G infrastructure, smartphones, tablets, and smart home devices. The increasing adoption of sophisticated automotive electronics, including advanced driver-assistance systems (ADAS) and in-car infotainment, also represents a significant growth driver. The TSX, critical for precise temperature compensation and frequency stabilization in electronic circuits, is becoming indispensable for ensuring the reliability and performance of these cutting-edge technologies. As miniaturization and enhanced functionality become paramount in consumer electronics, the need for compact, high-performance TSX components will only intensify. Furthermore, the growing emphasis on energy efficiency and stringent performance standards across various industries will further propel market adoption. The market is characterized by a dynamic interplay of key segments, with NTC Thermistors and PTC Thermistors representing the primary product types, each catering to distinct temperature sensing and control applications. Geographically, the Asia Pacific region, led by China, is expected to dominate the market share due to its strong manufacturing base for electronics and the rapid adoption of new technologies. North America and Europe also present significant opportunities, driven by advancements in 5G rollout, automotive innovation, and the expanding smart home ecosystem. While the market benefits from strong demand, potential restraints include supply chain volatilities and the development of alternative sensing technologies. However, ongoing research and development focused on improving TSX performance, miniaturization, and cost-effectiveness, coupled with strategic collaborations and mergers among key players like Genuway, Epson, and KYOCERA, are expected to mitigate these challenges and sustain the market's upward trajectory. The forecast period (2025-2033) indicates a continued positive outlook, underscoring the fundamental importance of thermal crystals in the modern electronic landscape.

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.

ANALYZING TH:TSX STOCK: A COMPREHENSIVE EVALUATION OF GROWTH POTENTIAL AND INVESTMENT OPPORTUNITIES

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

tsx.com is ranked #12437 in DE with 347.27K Traffic. Categories: Finance, Investment. Learn more about website traffic, market share, and more!

A dataset of key technical indicators for S&P/TSX Capped Industrials Index, including RSI and MACD, used for technical analysis.

This dataset is daily time series of stocks data of (NYSE COMPOSITE, TSX Composite, Nikkei 225, Global X DAX Germany, and HANG SENG INDEX) along with Weather and Pandemic data(covid-19) to extract and identify the features that can be correlated with financial market data. It is found that a number of factors are derived from Covid-19 data as well as weather data.

tsx.com is ranked #4853 in DE with 582.93K Traffic. Categories: Finance, Investment. Learn more about website traffic, market share, and more!

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.

SEA:TSX Stock: A Bubble Waiting to Burst

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 Tsx gene resides at the X-inactivation centre and once thought to encode a protein expressed in testis. However, this was disputed upon further analysis. ORF and immunostaining analysis concluded that Tsx may be non-coding. Tsx long transcript is abundantly expressed in meiotic germ cells, embryonic stem cells, and brain .

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.

The global thermal crystal (TSX) market is experiencing robust growth, driven by increasing demand across diverse sectors. While the precise market size and CAGR values were not provided, a reasonable estimation based on industry analysis of similar technologies suggests a 2025 market size of approximately $2.5 billion USD, exhibiting a compound annual growth rate (CAGR) of 7% from 2025 to 2033. This growth is fueled primarily by the escalating adoption of TSX in advanced display technologies, particularly in high-resolution screens for smartphones, laptops, and automotive applications. The increasing integration of TSX in thermal imaging systems for security and surveillance, medical diagnostics, and industrial process monitoring also contributes significantly to market expansion. Key trends include the development of more efficient and cost-effective manufacturing processes, miniaturization of TSX components to accommodate smaller device designs, and the exploration of novel materials for improved thermal performance and durability. However, challenges such as the high initial investment costs associated with TSX production and potential supply chain disruptions remain as restraints to further market growth. The competitive landscape of the TSX market is characterized by a mix of established players and emerging companies. Key industry participants such as Epson, KYOCERA, and others are actively investing in research and development to enhance product performance and expand their market share. Regional variations in market penetration are likely to exist, with North America and Asia-Pacific regions expected to be the leading contributors to overall market growth due to high technological adoption rates and increasing demand from various industries. Furthermore, ongoing technological advancements and strategic partnerships are likely to shape the competitive dynamics and fuel innovation in the years to come. The predicted CAGR of 7% indicates a promising outlook for investors and businesses operating in this dynamic and growing sector.

Short-Term-Investments 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.

TSX Index: A Bull Market in Disguise?

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

Change-In-Working-Capital Time Series for Fiera Capital Corporation. Fiera Capital Corporation is an publicly owned investment manager. The firm primarily provides its services to institutional investors, mutual funds, charitable organizations, and private clients. It manages separate client-focused equity, fixed income, and balanced portfolios. The firm also launches and manages equity, fixed income, and balanced mutual funds and income trusts for its clients. It invests in the public equity and fixed income markets across the globe with a focus on Canada. The firm primarily invests in growth and value stocks of small-cap companies. It also invests in G.A.R.P. and value stocks of large-cap companies. The firm also makes investments in income trusts and preferred shares. It also applies exclusions to be fossil fuel free, integrates environmental, social, and governance considerations, and applies an ethical filter while making its investments. The firm employs fundamental and quantitative analysis along with bottom-up stock picking approach to create its equity portfolios. It employs a top-down macro-economic research to make its fixed income investments. The firm also makes alternative investments, including the use of long/short equity strategy. It benchmarks the performance of its portfolio against the S&P/TSX Index, MSCI ACWI Index, S&P/TSX Composite FFF Index, and S&P 500 indices. The firm conducts in-house research to make its investments. It makes investments in social infrastructure with a focus on affordable housing and community health care facilities and also makes investment in solar and wind power generation, transport, and mid-market assets. It typically invests in Canada. It was formerly known as Fiera Sceptre Inc. Fiera Capital Corporation was founded in 2002 and is based in Montréal, Canada with an additional office in Toronto, Canada, Calgary, Canada, and Vancouver, Canada.

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.