The Canadian International Merchandise Trade (CIMT) Web Application offers the most detailed commodity trade data using the Harmonized System (HS) classification of goods (the 8-digit commodity level for exports and the 10-digit for imports). The CIMT Web Application also offers data at the international 6-digit commodity level. With the CIMT Web Application the user can visualize the latest information on customs based monthly trade through tables and charts as well as a time series report. For a selected period of time, one can also customize its selection and visualize trade, export or import, data for a specific trading partner, a specific province and a specific variable such as value, volume and a percentage change on a monthly or annual basis. The application has also the ability to retrieve the top 25 commodities traded between a selected by the user geography, Canada or a province, and trading partner, the World or a specific country, for the month of interest. When desired, the user can copy the data seen on the screen into their preferred data manipulation software. In general, merchandise trade data are revised on an ongoing basis for each month of the current year. The previous year's customs data are revised with the release of the January and February reference months as well as on a quarterly basis. The previous two years of customs based data are revised annually and are released in February with the December reference month.

Foreign Stock Investment in Canada increased to 710 CAD Million in June from -6290 CAD Million in May of 2025. This dataset provides the latest reported value for - Canada Foreign Stock Investment - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

International merchandise trade data for customs-basis imports by country of origin and country of export. Users have the option of selecting principal trading partners as well as North American Product Classification System (NAPCS) sections and groups.

Annual data on Canadian international merchandise trade by principal trading partner and product on a customs basis. Trade data for 27 trading partners are included with an "Other" country aggregate. Product data are presented using the North American Product Classification System at the section and group levels.

The number of users is forecast to experience significant growth in all segments in 2028. This reflects the overall trend throughout the entire forecast period from 2020 to 2028. It is estimated that the number of users is continuously rising in all segments. In this regard, the Neobrokers segment achieves the highest value of *** million users in 2028. Find further statistics on other topics such as a comparison of the number of users in Japan and a comparison of the transaction value in Russia. The Statista Market Insights cover a broad range of additional markets.

Graph and download economic data for Stock Market Total Value Traded to GDP for Canada (DDDM02CAA156NWDB) from 1975 to 2020 about market cap, stock market, Canada, trade, and GDP.

Terms of Trade in Canada increased to 101.70 points in June from 101.10 points in May of 2025. This dataset provides - Canada Terms Of Trade - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Canadian International merchandise trade data grouped by North American Industry Classification System (NAICS) codes of the 2017 NAICS structure version 2. The detailed NAICS codes (all levels) are from Manufacturing industries (31-33), Agriculture, Forestry, Fishing and Hunting industries (11), Mining, Quarrying, and Oil and Gas Extraction industries (21), Utilities (22) and Wholesale Trade industries (41). Users have the option of selecting imports and exports, the country of origin and the country of destination. Data are monthly and on a customs basis.

Graph and download economic data for International Merchandise Trade Statistics: Trade Balance: Commodities for Canada (XTNTVA01CAM664S) from Jan 1955 to Jun 2025 about Canada, trade, Net, and goods.

The timeline shows the total value of U.S. trade in goods (export and import) with Canada from 2004 to 2024. In 2024, the total value of U.S. trade in goods with Canada amounted to *** billion U.S. dollars; composed of ***** billion U.S. dollars in exports and ***** billion U.S. dollars in imports.

This table contains 30 series, with data for years 1946 - 1985 (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 ...), Trading areas and import commodity classification (15 items: Total imports; trading areas;United States;United Kingdom;Total; less United States and United Kingdom ...), Seasonal adjustment (2 items: Unadjusted;Seasonally adjusted ...).

Graph and download economic data for Sales: Retail Trade: Total Retail Trade: Volume for Canada (CANSLRTTO01MLSAM) from Jan 1991 to Oct 2023 about Canada, trade, retail trade, sales, and retail.

Graph and download economic data for Sales: Retail Trade: Total Retail Trade: Volume for Canada (SLRTTO01CAA659S) from 1971 to 2021 about Canada, retail trade, sales, and retail.

Trade (% of GDP) in Canada was reported at 65.18 % in 2024, according to the World Bank collection of development indicators, compiled from officially recognized sources. Canada - Trade (% of GDP) - actual values, historical data, forecasts and projections were sourced from the World Bank on August of 2025.

Merchandise trade (% of GDP) in Canada was reported at 50.92 % in 2024, according to the World Bank collection of development indicators, compiled from officially recognized sources. Canada - Merchandise trade (% of GDP) - actual values, historical data, forecasts and projections were sourced from the World Bank on September of 2025.

Canada CEER: Nominal: Other Important Trading Partners data was reported at 139.080 1999=100 in Apr 2025. This records an increase from the previous number of 135.640 1999=100 for Mar 2025. Canada CEER: Nominal: Other Important Trading Partners data is updated monthly, averaging 132.610 1999=100 from Jan 1999 (Median) to Apr 2025, with 316 observations. The data reached an all-time high of 145.310 1999=100 in Nov 2007 and a record low of 96.170 1999=100 in Jan 2002. Canada CEER: Nominal: Other Important Trading Partners data remains active status in CEIC and is reported by Bank of Canada. The data is categorized under Global Database’s Canada – Table CA.M016: Canadian Effective Exchange Rate.

The statistic shows the trade balance of goods (exports minus imports of goods) in Canada from 2014 to 2024. A positive value means a trade surplus, a negative trade balance means a trade deficit. In 2024, the trade deficit of goods in Canada amounted to about **** billion U.S. dollars. Trade with Canada Canada reported a trade surplus until 2009 when the country’s trade balance went negative for the first time in recent history. Its deficit was ignited at the height of the global recession, and the value of exports decreased significantly at that time. It is only now showing signs of a recovery. Meanwhile, while imports decreased during the recession as well, they bounced back faster than exports. Currently, Canada maintains neither a trade deficit nor a trade surplus as both imports and exports amount to around *** billion U.S. dollars worth of goods. Canada is hoping this will continue, and it is looking to lower tariffs on exports in order to further boost the economy and increase exports. Canada has a long and strong trading relationship with the United States - Canada’s southern neighbor is without a doubt its most important export and import partner. Overall, Canada maintains an export advantage over the United States; maintaining greater export flows than import flows. The U.S. dollar is also worth more than the Canadian dollar, favoring further exports from Canada. China and Mexico also import Canadian goods, but significantly less than the United States.

International merchandise trade data grouped by North American Industry Classification System (NAICS) of the 2022 structure V.1. Users have the option of selecting imports and exports by NAICS code, the country of origin and the country of destination. Data are monthly and on a customs basis.

Contained within the 4th Edition (1974) of the Atlas of Canada is a map that shows locations of fur trading posts for the period 1600 to 1870. The first known owner of the post (France, England, Canadian independent, XY Company, North West Company or Hudson's Bay Company) and the known length of operation are noted on the map. Two supplementary texts accompany the map with background information on post owners as well as a condensed history of the Canadian fur trade.

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