China Retail Investor Sentiment Analytics provides sentiment analytics of Chinese retail investors based on 2 stock forums, Guba (GACRIS dataset) and Xueqiu (XACRIS dataset), the most popular stock forums in China from 2007.

By utilizing in-house NLP models which are dedicatedly optimized for Chinese stock forum posts and trained on a proprietary manually labeled and cross-checked training data, the dataset provides accurate text analytics of post content, including but not limited to quality, sentiment, and relevant stocks with relevance score. In addition to the aggregated statistics of stock sentiment and popularity, the dataset also provides rich and fine-grained information for each user/post in record level. For example, it reports the registration time, number of followers for each user, and also the replies/readings and province being published for each post. Moreover, these meta data are processed in point-in-Time (PIT) manner since 2019.

The dataset could help clients easily capture the sentiment and popularity among millions of Chinese retail investors. On the other hand, it also offers flexibility for clients to customize novel analytics, such as studying the sentiment (conformity/divergence) of users of different level of influence or posts of different hotness, or simply filtering the posts published by users which are too active/positive/negative in a time window when aggregating the statistics.

Coverage: All A-share and Hong Kong stocks, 300+ popular US stocks Update Frequency: Daily or intra-day

Snapshot img

Foreign Exchange Market Size 2025-2029

The foreign exchange market size is valued to increase by USD 582 billion, at a CAGR of 10.6% from 2024 to 2029. Growing urbanization and digitalization will drive the foreign exchange market.

Major Market Trends & Insights

Europe dominated the market and accounted for a 47% growth during the forecast period.
By Type - Reporting dealers segment was valued at USD 278.60 billion in 2023
By Trade Finance Instruments - Currency swaps segment accounted for the largest market revenue share in 2023

Market Size & Forecast

Market Opportunities: USD 118.14 billion
Market Future Opportunities: USD 582.00 billion
CAGR from 2024 to 2029 : 10.6%

Market Summary

The market, a dynamic and intricate web of financial transactions, plays a pivotal role in facilitating global trade and economic interactions. Its primary function is to enable the conversion of one currency into another, thereby mitigating the risk of currency fluctuations for businesses and investors. Key drivers of this market include growing urbanization and digitalization, which have expanded trading opportunities to a 24x7 global economy. However, the uncertainty of future exchange rates poses a significant challenge, necessitating effective risk management strategies. The market's evolution reflects the increasing interconnectedness of the global economy. Transactions occur in a decentralized, over-the-counter system, with major trading centers in London, New York, and Tokyo.
Participants include commercial banks, investment banks, hedge funds, and individual investors, all seeking to capitalize on price differences between currencies. Trends shaping the market include the increasing use of automation and artificial intelligence to analyze market data and execute trades. Regulatory changes, such as the introduction of stricter capital requirements, also impact the market's functioning. Looking ahead, the market is expected to remain a vital component of the global financial landscape, with continued growth driven by increased trade and economic interdependence. However, challenges, such as regulatory changes and geopolitical risks, will necessitate adaptability and innovation from market participants.

What will be the Size of the Foreign Exchange Market during the forecast period?

Get Key Insights on Market Forecast (PDF) Request Free Sample

How is the Foreign Exchange Market Segmented ?

The foreign exchange industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD billion' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments.

Type

  Reporting dealers
  Financial institutions
  Non-financial customers


Trade Finance Instruments

  Currency swaps
  Outright forward and FX swaps
  FX options


Trading Platforms

  Electronic Trading
  Over-the-Counter (OTC)
  Mobile Trading


Geography

  North America

    US
    Canada


  Europe

    Germany
    Switzerland
    UK


  Middle East and Africa

    UAE


  APAC

    China
    India
    Japan


  South America

    Brazil


  Rest of World (ROW)

By Type Insights

The reporting dealers segment is estimated to witness significant growth during the forecast period.

The market, a dynamic and ever-evolving financial landscape, is characterized by constant activity and intricate patterns. Participants engage in various trading strategies, employing advanced tools such as stop-loss and take-profit orders on forex trading platforms. Real-time data feeds and order book dynamics facilitate trade execution speed, while market microstructure and slippage minimization techniques ensure efficient transactions. Currency correlation analysis and transaction cost analysis are integral to informed decision-making, with backtesting methodologies providing valuable insights. Currency forwards contracts, position sizing techniques, and forex derivatives pricing are essential components of risk management systems. Carry trade strategies, hedging strategies, and interest rate parity are popular tactics employed by market participants.

Algorithmic trading strategies, driven by options pricing models and trading algorithms' efficiency, significantly influence price discovery mechanisms. High-frequency trading and volatility modeling contribute to the market's liquidity risk management, while foreign exchange swaps and currency option valuation help manage risk. The market's complexities necessitate sophisticated risk management systems and intricate order routing optimization. Global payments systems facilitate the smooth transfer of funds, and liquidity risk management remains a critical concern for market participants. According to recent studies, The market is estimated to account for approximately USD6 trillion in daily trading volume, und

Denmark Share Trading: CSE: Investment Funds: Average Daily Turnover: Number of Trades data was reported at 2,859.739 Unit in Oct 2018. This records an increase from the previous number of 2,565.850 Unit for Sep 2018. Denmark Share Trading: CSE: Investment Funds: Average Daily Turnover: Number of Trades data is updated monthly, averaging 4,383.818 Unit from Jun 2005 (Median) to Oct 2018, with 161 observations. The data reached an all-time high of 8,987.737 Unit in Jun 2014 and a record low of 1,301.800 Unit in Feb 2009. Denmark Share Trading: CSE: Investment Funds: Average Daily Turnover: Number of Trades data remains active status in CEIC and is reported by Copenhagen Stock Exchange. The data is categorized under Global Database’s Denmark – Table DK.Z003: Copenhagen Stock Exchange: Share Trading.

Techsalerator offers an extensive dataset of End-of-Day Pricing Data for all 1000 companies listed on the Cayman Islands Stock Exchange (XCAY) in Cayman Islands. 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.

‍

Top 5 used data fields in the End-of-Day Pricing Dataset for Cayman Islands :

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.

‍

Top 5 financial instruments with End-of-Day Pricing Data in Cayman Islands:

Cayman Islands Stock Exchange (CSX) Domestic Company Index: The main index that tracks the performance of domestic companies listed on the Cayman Islands Stock Exchange. This index provides insights into the overall market performance of companies based in the Cayman Islands.

Cayman Islands Stock Exchange (CSX) Foreign Company Index: The index that tracks the performance of foreign companies listed on the Cayman Islands Stock Exchange. This index reflects the performance of international companies that are listed and traded on the CSX.

Financial Services Corporation Cayman Trust Bank: A major financial institution based in the Cayman Islands, offering banking, investment, and wealth management services. This company's securities are listed and traded on the CSX.

Real Estate Development Group Cayman Properties: A prominent real estate development company operating in the Cayman Islands, involved in the construction of residential and commercial properties. This company's securities are listed on the CSX.

Offshore Investment Fund Cayman Capital: An offshore investment fund registered in the Cayman Islands, offering investment opportunities to both local and international investors. Units of this fund are traded on the CSX.

‍

If you're interested in accessing Techsalerator's End-of-Day Pricing Data for Cayman Islands, 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.

‍

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 Cayman Islands ?

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 Cayman Islands?

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 Cayman Islands 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 Botsw...

The number of active monthly users of the commission-free trading app Robinhood grew steadily since 2014, even though the app did not officially launch until mid-2015. The number of users grew from ************** in 2014 up to **** million, reaching a peak in 2021. While the number of active monthly users now rests at under ** million, the average revenue per user (ARPU) has increased. The app’s net revenue did also grow steadily since its official launch, reaching *** million U.S. dollars as of 2023. Robinhood and the GameStop story Robinhood was a key player in the GameStop story in January 2021, when they restricted the trading of GameStop stocks for a few days. The platform with its commission-free trading is known to be “for the young and poor," and their trading halt caused a lot of anger among its users, who called it market manipulation and claimed the company was helping the hedge funds. Did the GameStop story affect the number of downloads? The number of downloads of the Robinhood app increased markedly in April 2021. The number of downloads grew by almost **** times compared to the previous month, reaching around **** million downloads from the Google Play Store and Apple App Store in April 2021. This increase shows that the app had a central role for the GameStop stocks, where young investors saw an opportunity to make money with commission-free trades.

Global foreign exchange (net - gross), for total (all instruments), total (all currencies), total (all currencies), total (all maturities), hedge funds and proprietary trading firms, Denmark, All countries (total), total (all ratings), total (all sectors), total (all methods), turnover - notional amounts (daily average)

Denmark Share Trading: CSE: Investment Funds: Average Daily Turnover data was reported at 422,983.304 DKK th in Oct 2018. This records an increase from the previous number of 338,213.975 DKK th for Sep 2018. Denmark Share Trading: CSE: Investment Funds: Average Daily Turnover data is updated monthly, averaging 670,294.428 DKK th from Jun 2005 (Median) to Oct 2018, with 161 observations. The data reached an all-time high of 2,408,114.775 DKK th in Jun 2017 and a record low of 166,638.373 DKK th in Feb 2009. Denmark Share Trading: CSE: Investment Funds: Average Daily Turnover data remains active status in CEIC and is reported by Copenhagen Stock Exchange. The data is categorized under Global Database’s Denmark – Table DK.Z003: Copenhagen Stock Exchange: Share Trading.

In 2025, ** percent of adults in the United States invested in the stock market. This figure has remained steady over the last few years and is still below the levels before the Great Recession, when it peaked in 2007 at ** percent. What is the stock market? The stock market can be defined as a group of stock exchanges where investors can buy shares in a publicly traded company. In more recent years, it is estimated an increasing number of Americans are using neobrokers, making stock trading more accessible to investors. Other investments A significant number of people think stocks and bonds are the safest investments, while others point to real estate, gold, bonds, or a savings account. Since witnessing the significant one-day losses in the stock market during the financial crisis, many investors were turning towards these alternatives in hopes for more stability, particularly for investments with longer maturities. This could explain the decrease in this statistic since 2007. Nevertheless, some speculators enjoy chasing the short-run fluctuations, and others see value in choosing particular stocks.

Download Historical Japanese Gov. Bonds Tokyo (All Sessions) Futures Data. CQG daily, 1 minute, tick, and level 1 data from 1899.

Global foreign exchange (net - net), for options, total (all currencies), total (all currencies), total (all maturities), hedge funds and proprietary trading firms, All countries (total), All countries (total), total (all ratings), total (all sectors), total (all methods), turnover - notional amounts (daily average)

Global foreign exchange (net - net), for outright forwards, total (all currencies), total (all currencies), total (all maturities), hedge funds and proprietary trading firms, All countries (total), All countries (total), total (all ratings), total (all sectors), total (all methods), turnover - notional amounts (daily average)

As of August 2025, the Vanguard Information Technology Index Fund provided the ******* one-year return rate. The Vanguard S&P 500 Growth Index Fund ranked ****** having a one-year return rate of *****percent. As of August 2025, the Vanguard Total Stock Market Index Fund was the largest fund owned by Vanguard, with net assets under management worth approximately **** trillion U.S. dollars. What is the difference between mutual funds and exchange traded funds? Both mutual funds and exchange traded funds (ETFs) originate from the concept of pooled fund investing, which bundles securities together to offer investors a more diversified portfolio. However, mutual funds and ETFs have some key differences. For instance, ETFs offer more flexible trading as they trade during the day like stocks, while mutual funds only allow transactions at the end of the day. Moreover, ETFs are mostly passively-managed and mirror a designated index. On the other hand, mutual funds are typically actively-managed, as it can be seen by comparing the number of actively and passively-managed mutual funds in the United States. Vanguard Founded by John C. Bogle in 1975, Vanguard is a U.S. asset management company that offers both mutual funds and ETFs. Headquartered in Malvern, Pennsylvania, Vanguard was the ****** largest provider of ETFs in the United States after BlackRock Financial Management, with assets under management worth *** trillion U.S. dollars. Likewise, in 2025, Vanguard ranked among the largest providers of mutual funds worldwide. The total assets under management of Vanguard increased considerably since its foundation in 1975, and peaked at *****trillion U.S. dollars in April 2025.

Financial Data Feeds Market Outlook

According to our latest research, the global financial data feeds market size reached USD 8.3 billion in 2024, reflecting the growing reliance on real-time and high-quality data across financial institutions. The market is projected to expand at a robust CAGR of 9.1% from 2025 to 2033, reaching a forecasted value of USD 18.1 billion by 2033. This growth is primarily driven by the increasing digitization of financial services, the need for advanced analytics in trading and risk management, and the rapid adoption of cloud-based data solutions across the BFSI and FinTech sectors.

One of the most significant growth factors for the financial data feeds market is the escalating demand for real-time market data among trading institutions and asset managers. As financial markets become more volatile and complex, the need for accurate, low-latency data feeds has intensified. Algorithmic and high-frequency trading strategies rely heavily on the swift delivery of financial data to capitalize on market movements within fractions of a second. This trend is further reinforced by the proliferation of electronic trading platforms and the integration of artificial intelligence and machine learning algorithms, all of which require robust data feeds to function effectively. As a result, vendors are investing in advanced infrastructure and data delivery technologies to ensure seamless, uninterrupted access to critical financial information.

Another key driver fueling market expansion is the rising regulatory scrutiny and compliance requirements across global financial markets. Regulatory bodies such as the SEC, ESMA, and other regional authorities have imposed stringent reporting and transparency obligations on financial institutions. This has led to a surge in demand for comprehensive reference and historical data feeds to support compliance, audit, and risk management functions. Financial organizations are increasingly leveraging data feeds that offer not only real-time market data but also end-of-day and reference data to ensure accurate reporting and regulatory adherence. The need for robust data governance and traceability further accelerates the adoption of advanced data feed solutions, particularly among large banks, asset managers, and hedge funds.

The rapid digital transformation within the financial services industry is also propelling the growth of the financial data feeds market. The emergence of FinTech companies, digital banks, and innovative investment platforms has created a fertile ground for data-driven decision-making. Cloud-based deployment models are gaining traction due to their scalability, cost-effectiveness, and ease of integration with existing systems. These solutions enable organizations of all sizes, from established banks to nimble FinTech startups, to access high-quality financial data without significant upfront investments in infrastructure. Additionally, the growing popularity of portfolio management and risk analytics tools further boosts the demand for diverse and customizable data feeds, supporting a wide range of financial applications and end-users.

From a regional perspective, North America continues to dominate the financial data feeds market, accounting for the largest share in 2024, driven by the presence of major financial hubs, advanced technological infrastructure, and a high concentration of market participants. Europe follows closely, fueled by regulatory initiatives and the adoption of MiFID II standards. Meanwhile, the Asia Pacific region is witnessing the fastest growth, supported by the rapid expansion of digital financial services, increasing investments in capital markets, and the emergence of new trading platforms in countries like China, India, and Singapore. Latin America and the Middle East & Africa are also experiencing steady growth, albeit from a smaller base, as financial markets in these regions undergo modernization and digitalization.

Data Type Analysis

The financial data feeds market is segmented by data type into real-time data feeds, end-of-day data feeds, historical data feeds, reference data feeds, and others. Real-time data feeds represent the largest and fastest-growing segment, driven by the increasing adoption of electronic and algorithmic trading strategies that require instant access to market movements. These feeds deliver streaming data on asset prices, market depth, and transaction volumes, enabling traders and asset managers to make split-second decisions

Download Historical Gold (Combined) Futures Data. CQG daily, 1 minute, tick, and level 1 data from 1899.

Global foreign exchange (net - net), for fx swaps, total (all currencies), total (all currencies), total (all maturities), hedge funds and proprietary trading firms, All countries (total), All countries (total), total (all ratings), total (all sectors), total (all methods), turnover - notional amounts (daily average)

As of August 6, 2025, Vanguard Total Stock Market ETF was the highest valued exchange-traded fund (ETF) globally, with a market capitalization of over *** trillion U.S. dollars. The market capitalization of an ETF is calculated by multiplying the number of shares issued in the fund by the share price. This ETF is also the ******-largest ETF by assets under management. However, the Vanguard fund is different because shares in the fund are sold as various different products, some of which are structured as ETFs, while others are structured as traditional mutual funds. What are ETFs? ETFs are similar to mutual funds, in that they consist of a pool of investors’ funds which are managed by an independent third party for the purpose of a common financial investment. However, ETFs differ through how shares in the fund are bought and sold through a stock exchange, rather than directly from the fund manager. This provides the advantages of generally lower prices (as the transaction costs are paid by the exchange operator rather than the fund manager), and the possibility of intraday trading (as shares in a traditional mutual fund can only be bought and sold after the close of daily trading). The total assets managed by ETFs globally is almost six times lower than that of mutual funds, although the gap in AUM between ETFs and mutual funds in the United States is much lower, at just over three times less. Who are the largest ETF providers? The ******* provider of ETFs globally is Blackrock, the world’s largest asset management company. As of August 2025, the company had more than ****trillion U.S. dollars of assets under management in exchange traded funds in the U.S. alone, while Blackrock’s total assets under management across all products reached almost **** trillion U.S. dollars. Rounding out the top ***** providers of ETFs are fellow U.S. asset managers Vanguard and State Street.

Tick Data Management Market Outlook

According to our latest research, the global tick data management market size reached USD 1.92 billion in 2024, reflecting robust demand from the financial sector for high-frequency, low-latency data solutions. The market is expected to grow at a CAGR of 13.7% from 2025 to 2033, resulting in a forecasted market size of USD 5.95 billion by 2033. This impressive growth trajectory is primarily driven by the increasing adoption of algorithmic trading, regulatory compliance requirements, and the growing need for real-time market surveillance and risk management solutions across global financial institutions.

One of the most significant growth factors propelling the tick data management market is the explosive rise in algorithmic and high-frequency trading (HFT) activities worldwide. As financial markets become more digitized and competitive, trading firms, hedge funds, and banks are leveraging advanced algorithms that rely heavily on granular, real-time tick data for split-second decision-making. The necessity for accurate, high-volume, and low-latency data feeds has prompted organizations to invest in sophisticated tick data management platforms capable of handling terabytes of streaming data every day. This trend is further amplified by the proliferation of electronic trading venues and the diversification of asset classes, which collectively demand agile and scalable data infrastructures.

Another critical driver is the escalating pressure from regulatory bodies to ensure market transparency and integrity. Regulatory mandates such as MiFID II in Europe and the Consolidated Audit Trail (CAT) in the United States have compelled financial institutions to store, manage, and analyze vast amounts of historical tick data for compliance, audit trails, and market surveillance. These regulations require not only the retention of tick-by-tick transaction records but also the ability to reconstruct market activities for forensic analysis. As a result, the demand for advanced tick data management solutions with robust data governance, security, and analytics capabilities has surged, shaping the market’s evolution and encouraging innovation in data storage and retrieval technologies.

Furthermore, the integration of artificial intelligence (AI) and machine learning (ML) technologies into tick data analytics is unlocking new opportunities for predictive analytics, risk mitigation, and fraud detection. Financial institutions are increasingly deploying AI-driven data management platforms to extract actionable insights from historical and real-time tick data, enhancing their competitive edge in volatile markets. The convergence of big data analytics, cloud computing, and advanced data warehousing is enabling organizations to process and analyze unprecedented volumes of tick data with greater speed and efficiency. This technological evolution is expected to further fuel the growth of the tick data management market, as firms strive to optimize trading strategies, minimize risks, and comply with evolving regulatory standards.

Regionally, North America continues to dominate the tick data management market, accounting for the largest share in 2024, driven by the presence of major financial hubs, cutting-edge technology providers, and stringent regulatory frameworks. Europe follows closely, benefiting from the expansion of electronic trading and robust regulatory oversight. The Asia Pacific region is witnessing the fastest growth, fueled by rapid digitalization of financial markets, increasing adoption of algorithmic trading, and rising investments in fintech infrastructure. Latin America and the Middle East & Africa are also showing steady progress, with growing interest from regional banks and investment firms seeking advanced data management capabilities to compete in the global financial ecosystem.

Component Analysis

The component segment of the tick data management market is bifurcated into software and services, each playing a pivotal role in the overall ecosystem. The software segment dominates the market, accounting for over 65% of the total revenue in 2024. This dominance is attributed to the widespread adoption of sophisticated data management platforms that offer end-to-end solutions for data ingestion, storage, normalization, and retrieval. These platforms are designed to handle massive volumes of tick data generated by trading activities, providing real-time a