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Discover LSEG's Tradeweb data, supporting more than 20 asset classes with electronic execution, processing, post-trade analysis and market data.
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Tradeweb is a completely independent source of pricing information and is considered a benchmark source for OTC pricing data.
The total equity of Tradeweb Markets with headquarters in the United States amounted to *** billion U.S. dollars in 2024. The reported fiscal year ends on December 31.Compared to the earliest depicted value from 2020 this is a total increase by approximately *** billion U.S. dollars. The trend from 2020 to 2024 shows, furthermore, that this increase happened continuously.
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Explore Tradeweb Direct data exclusively through LSEG, giving you direct access to deep liquidity integrated with portfolio analytics.
The liabilities of Tradeweb Markets with headquarters in the United States amounted to ****** million U.S. dollars in 2024. The reported fiscal year ends on December 31.Compared to the earliest depicted value from 2020 this is a total increase by approximately ****** million U.S. dollars. The trend from 2020 to 2024 shows, however, that this increase did not happen continuously.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
This dataset is about stocks. It has 1 row and is filtered where the company is Tradeweb. It features 8 columns including stock name, company, exchange, and exchange symbol.
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Tradeweb Marks Data refers to pricing and market data related to various financial instruments at specific times of the day.
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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.
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)
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)
Stock price prediction
Portfolio optimization
Algorithmic trading
Market sentiment analysis
Risk management
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
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
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Uncover historical ownership history and changes over time by performing a reverse Whois lookup for the company Tradeweb-Markets-LLC.
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radeWeb Australia is a leading online trading platform that provides investors and brokers with access to fixed income, derivatives, and ETF markets.
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Explore Tradeweb FTSE Closing Prices, delivering IOSCO-compliant end-of-day benchmarks for UK Gilts, U.S. Treasuries, and European bonds.
Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
License information was derived automatically
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.
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According to Cognitive Market Research, the global Foreign Exchange market size will be USD 807548.5 million in 2024. It will expand at a compound annual growth rate (CAGR) of 7.00% from 2024 to 2031.
North America held the major market share for more than 40% of the global revenue with a market size of USD 323019.40 million in 2024 and will grow at a compound annual growth rate (CAGR) of 5.2% from 2024 to 2031.
Europe accounted for a market share of over 30% of the global revenue with a market size of USD 242264.55 million.
Asia Pacific held a market share of around 23% of the global revenue with a market size of USD 185736.16 million in 2024 and will grow at a compound annual growth rate (CAGR) of 9.0% from 2024 to 2031.
Latin America had a market share of more than 5% of the global revenue with a market size of USD 40377.43 million in 2024 and will grow at a compound annual growth rate (CAGR) of 6.4% from 2024 to 2031.
Middle East and Africa had a market share of around 2% of the global revenue and was estimated at a market size of USD 16150.97 million in 2024 and will grow at a compound annual growth rate (CAGR) of 6.7% from 2024 to 2031.
Forex Options are the fastest-growing segment in the Foreign Exchange market by type, driven by their flexibility for hedging and speculative trading
Market Dynamics
Key Drivers
The interplay of currency supply and demand dictates forex market movements.
The interplay of currency supply and demand fundamentally dictates movements in the foreign exchange market, a colossal marketplace with an average daily trading volume of approximately $2.44 trillion as of January 2025. This dynamic is powerfully influenced by central bank monetary policy, as demonstrated by the direct impact of interest rate changes. When a central bank raises interest rates, it increases the demand for its currency from foreign investors seeking higher returns on their assets. A mere 25 basis point increase in interest rates can trigger capital inflows sufficient to appreciate a currency by 1-2% against other currencies. This demand is further influenced by a country's economic health, as a strong economy, like the U.S.'s projected 1.4% GDP growth in 2025, attracts significant foreign investment, thereby increasing the demand for its currency. The balance of a country's trade also directly impacts currency flows; a nation with a trade surplus sees a continuous demand for its currency as foreigners buy its exports, while a trade deficit increases supply as local buyers sell their currency for imports. Ultimately, every economic data point and policy decision contribute to the daily flux of supply and demand, creating the volatile and dynamic market movements that drive trillions of dollars in trading volume across the globe.
Source -
https://www.bea.gov/news/2025/gross-domestic-product-1st-quarter-2025-advance-estimate
Key Restraints
The foreign exchange market's expansion is limited by its transparency and counterparty risk challenges.
The foreign exchange market's expansion is significantly limited by a lack of transparency and pervasive counterparty risk, both of which are direct consequences of its decentralized, Over-the-Counter (OTC) structure. According to the Bank for International Settlements (BIS) Triennial Survey, a staggering 80% of all forex turnover happens in this OTC environment, including 28% of spot trades and 51% of swaps. This structural opaqueness leads to fragmented pricing and makes it difficult for participants to assess true market depth, thereby eroding confidence. This setup also exposes participants to significant counterparty risk, as there is no central clearinghouse to guarantee trades. This risk is underscored by recent regulatory actions, with French authorities adding 50 new websites to their blacklist of unauthorized platforms in the first half of 2024, and the Reserve Bank of India (RBI) maintaining its own alert list against unregulated brokers. Ultimately, these quantifiable risks pose a fundamental restraint on market expansion by increasing trading costs, undermining trust, and deterring both institutional and retail participants.
Source –
https://www.bis.org/statistics/rpfx22_fx.html
htt...
Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
License information was derived automatically
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.
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BASE YEAR | 2024 |
HISTORICAL DATA | 2019 - 2024 |
REPORT COVERAGE | Revenue Forecast, Competitive Landscape, Growth Factors, and Trends |
MARKET SIZE 2023 | 34.27(USD Billion) |
MARKET SIZE 2024 | 37.1(USD Billion) |
MARKET SIZE 2032 | 70.0(USD Billion) |
SEGMENTS COVERED | Platform Type, End User, Deployment Type, Asset Class, Regional |
COUNTRIES COVERED | North America, Europe, APAC, South America, MEA |
KEY MARKET DYNAMICS | Growing demand for algorithmic trading, Increasing adoption of blockchain technology, Rise in regulatory compliance requirements, Expanding market participants and trading volumes, Demand for enhanced user experience |
MARKET FORECAST UNITS | USD Billion |
KEY COMPANIES PROFILED | Deutsche Bank, Refinitiv, JPMorgan Chase, MarketAxess, Barclays, Citigroup, Cboe Global Markets, IHS Markit, TradeWeb Markets, Bloomberg, UBS, Goldman Sachs, Morgan Stanley, Interactive Brokers, BNP Paribas |
MARKET FORECAST PERIOD | 2025 - 2032 |
KEY MARKET OPPORTUNITIES | Increased adoption of AI technologies, Rising demand for mobile trading solutions, Expansion in emerging market economies, Enhanced regulatory compliance requirements, Integration of blockchain technology |
COMPOUND ANNUAL GROWTH RATE (CAGR) | 8.26% (2025 - 2032) |
Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
License information was derived automatically
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.
Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
License information was derived automatically
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.
Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
License information was derived automatically
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.
Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
License information was derived automatically
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.
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BASE YEAR | 2024 |
HISTORICAL DATA | 2019 - 2023 |
REGIONS COVERED | North America, Europe, APAC, South America, MEA |
REPORT COVERAGE | Revenue Forecast, Competitive Landscape, Growth Factors, and Trends |
MARKET SIZE 2024 | 5.72(USD Billion) |
MARKET SIZE 2025 | 6.14(USD Billion) |
MARKET SIZE 2035 | 12.5(USD Billion) |
SEGMENTS COVERED | Application, Type, User Interaction Mode, End Use, Regional |
COUNTRIES COVERED | US, Canada, Germany, UK, France, Russia, Italy, Spain, Rest of Europe, China, India, Japan, South Korea, Malaysia, Thailand, Indonesia, Rest of APAC, Brazil, Mexico, Argentina, Rest of South America, GCC, South Africa, Rest of MEA |
KEY MARKET DYNAMICS | Increasing demand for self-service solutions, Advancements in interactive technologies, Growing adoption in retail sectors, Rising need for customer engagement, Enhancements in user experience design |
MARKET FORECAST UNITS | USD Billion |
KEY COMPANIES PROFILED | Eikon, Thomson Reuters, Interactive Brokers, CME Group, MetaQuotes Software, CQG, FactSet, Morningstar, Nex Group, S&P Global, FIS, Tradier, ION Investment Group, Bloomberg, Tradeweb Markets |
MARKET FORECAST PERIOD | 2025 - 2035 |
KEY MARKET OPPORTUNITIES | Rising demand for contactless transactions, Integration with AI-driven analytics, Growth in retail and hospitality sectors, Increased adoption of digital signage, Expansion in smart city projects |
COMPOUND ANNUAL GROWTH RATE (CAGR) | 7.4% (2025 - 2035) |
https://www.lseg.com/en/policies/website-disclaimerhttps://www.lseg.com/en/policies/website-disclaimer
Discover LSEG's Tradeweb data, supporting more than 20 asset classes with electronic execution, processing, post-trade analysis and market data.