China's main stock market index, the SHANGHAI, rose to 3448 points on July 1, 2025, gaining 0.11% from the previous session. Over the past month, the index has climbed 2.57% and is up 15.06% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks this benchmark index from China. China Shanghai Composite Stock Market Index - values, historical data, forecasts and news - updated on July of 2025.

China Open Market Operation: Funds Injected/Withdrawn in the Week data was reported at -404,200.000 RMB mn in 09 May 2025. This records a decrease from the previous number of 358,300.000 RMB mn for 02 May 2025. China Open Market Operation: Funds Injected/Withdrawn in the Week data is updated daily, averaging 0.000 RMB mn from Jan 2009 (Median) to 09 May 2025, with 854 observations. The data reached an all-time high of 1,966,000.000 RMB mn in 20 Jan 2023 and a record low of -2,423,000.000 RMB mn in 05 Jan 2024. China Open Market Operation: Funds Injected/Withdrawn in the Week data remains active status in CEIC and is reported by The People's Bank of China. The data is categorized under China Premium Database’s Money and Banking – Table CN.KA: Open Market Operation: Daily.

Prices for China Stock Market Index (CH50) including live quotes, historical charts and news. China Stock Market Index (CH50) was last updated by Trading Economics this June 30 of 2025.

China Options: Shenzhen Stock Exchange: 500ETF: Open Interest: Put data was reported at 154.716 Contract th in 13 May 2025. This records an increase from the previous number of 149.841 Contract th for 12 May 2025. China Options: Shenzhen Stock Exchange: 500ETF: Open Interest: Put data is updated daily, averaging 112.309 Contract th from Sep 2022 (Median) to 13 May 2025, with 639 observations. The data reached an all-time high of 182.182 Contract th in 27 Feb 2024 and a record low of 23.527 Contract th in 19 Sep 2022. China Options: Shenzhen Stock Exchange: 500ETF: Open Interest: Put data remains active status in CEIC and is reported by Shenzhen Stock Exchange. The data is categorized under China Premium Database’s Financial Market – Table CN.ZI: Shenzhen Stock Exchange: Options: Open Interest: Daily.

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.

China A50 - A Window into the Future of Chinese Equities?

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 Securities Exchanges industry in China has displayed extreme volatility over the past five years. The uncertainty brought about by the COVID-19 pandemic, the international political geopolitical crisis and the fluctuation of the international financial market has led to the volatility of industry revenue.In the past five years, the total trading volume of stocks, futures and bonds has increased, which enables industry operators to obtain more transaction costs, which is the largest source of income of the exchange. Overall, industry revenue is expected to rise at an annualized 14.5% over the five years through 2025. This includes an anticipated revenue increase of 10.7% in the current year.With additional regulations and legislation, and further product innovation, China’s securities markets are forecast to continue developing. The comprehensive implementation of the registration system reform has led to the influx of new listed companies into the securities market, resulting in an increase in market activity. Industry revenue is forecast to grow at an annualized 9.1% over the five years through 2030. Since the establishment of new institutions needs to be approved by the State Council, the number of enterprises and establishment in the industry is almost unchanged. The number of enterprises and establishment will remain constant in the next five years. Although no new securities exchanges are anticipated to enter the market over the period, existing exchanges are projected to introduce more products. For example, more financial derivatives, such as treasury futures, will likely be available to trade on financial futures exchanges.

China Options: Shanghai Stock Exchange: 50ETF: Open Interest data was reported at 1,381.532 Contract th in 13 May 2025. This records an increase from the previous number of 1,333.530 Contract th for 12 May 2025. China Options: Shanghai Stock Exchange: 50ETF: Open Interest data is updated daily, averaging 1,991.209 Contract th from Feb 2015 (Median) to 13 May 2025, with 2489 observations. The data reached an all-time high of 5,152.532 Contract th in 19 Dec 2019 and a record low of 8.651 Contract th in 09 Feb 2015. China Options: Shanghai Stock Exchange: 50ETF: Open Interest data remains active status in CEIC and is reported by Shanghai Stock Exchange. The data is categorized under China Premium Database’s Financial Market – Table CN.ZI: Shanghai Stock Exchange: Options: Open Interest: Daily.

In January 2023, a total of 53 companies from mainland China finished their initial public offering (IPO) in China and abroad. Despite the outbreak of the coronavirus pandemic, IPO numbers and volumes remained robust in 2020. In that year, the annual number of Chinese IPOs reached 645 in 2021, of which 522 were listed at stock markets in mainland China and 123 in Hong Kong or other overseas destinations.

Stock markets in mainland China

Mainland China has two stock exchanges, the Shanghai stock exchange (SSE) and the Shenzhen stock exchange (SZSE). Both rank among the largest stock exchanges in the world. While more large state-owned enterprises are listed in Shanghai, the stock exchange in Shenzhen is home to many technology driven companies, including Huawei and Tencent. Stocks on the Shanghai exchange are distributed across two boards, the Main Board and the Sci-Tech Innovation Board (Star Market), which was newly established in 2019. The Shenzhen exchange has also two boards, the main board and the Growth Enterprises Board (ChiNext). In 2021, a larger number of IPOs were listed at the newer ChiNext and Star Market, and less at the older SME and Shanghai Main Board.

Chinese IPOs abroad

As domestic Chinese stock markets are still not completely open to foreign investors and regulation on the mainland is less stringent, Chinese companies rely on overseas exchanges to attract international investors. Some of the largest global IPOs were those of Chinese companies going public at foreign stock exchanges. The Hong Kong Exchange and Clearing Market (HKEX) is a preferred place for mainland companies to get an international listing.

N is the total number of trading days with limit hits. ⟨N⟩ is the average number of limit-hitting days for individual stocks. Ncon is the number of limit-hitting days with continued next-day opening prices (up-limit days with the next-day opening prices higher than the closing prices and down-limit days with the next-day opening price lower than the closing prices). Nrev is the number of limit-hitting days with price reversal on the next day. Nopen, Nam, Npm and Nclose are respectively the numbers of days with limit hits occurred in the opening call auction, in the continuous double auction in the morning, in the continuous double auction in the afternoon and at the closure of the trading days. Nclose,con and Nclose,rev are the numbers of trading days that closed at limit prices and the price continued rising or falling on the successive trading days.

According to a survey conducted among U.S. enterprises in China in 2022, 34 percent of companies were confident to varying extent that the Chinese government is commitment to further opening its market to foreign investment in the coming three years. Compared to 2021, confidence dropped significantly by 13 percent.

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.

A50: China's Stock Market Enigma

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

In 2025, stock markets in the United States accounted for roughly ** percent of world stocks. The next largest country by stock market share was China, followed by the European Union as a whole. The New York Stock Exchange (NYSE) and the NASDAQ are the largest stock exchange operators worldwide. What is a stock exchange? The first modern publicly traded company was the Dutch East Industry Company, which sold shares to the general public to fund expeditions to Asia. Since then, groups of companies have formed exchanges in which brokers and dealers can come together and make transactions in one space. Stock market indices group companies trading on a given exchange, giving an idea of how they evolve in real time. Appeal of stock ownership Over half of adults in the United States are investing money in the stock market. Stocks are an attractive investment because the possible return is higher than offered by other financial instruments.

The dataset used in this paper is the China stock market data, which includes daily technical data like open, close, high, low, returns, volume, vwap, cap, and fundamental data like cap and industry classification.

China Options: Shanghai Stock Exchange: 300ETF: Open Interest data was reported at 1,792.724 Contract th in 08 May 2020. This records an increase from the previous number of 1,755.841 Contract th for 07 May 2020. China Options: Shanghai Stock Exchange: 300ETF: Open Interest data is updated daily, averaging 1,722.016 Contract th from Dec 2019 (Median) to 08 May 2020, with 89 observations. The data reached an all-time high of 2,170.133 Contract th in 17 Mar 2020 and a record low of 180.700 Contract th in 23 Dec 2019. China Options: Shanghai Stock Exchange: 300ETF: Open Interest data remains active status in CEIC and is reported by Shanghai Stock Exchange. The data is categorized under China Premium Database’s Financial Market – Table CN.ZI: Shanghai Stock Exchange: Options: Open Interest: Daily.

Beijing stock exchange focuses on equity trading and plans to expand its asset class to convertible bond in the near future.

This data package includes the underlying data and files to replicate the calculations, charts, and tables presented in China's Financial Opening Accelerates, PIIE Policy Brief 20-17. If you use the data, please cite as: Lardy, Nicholas R., and Tianlei Huang. (2020). China's Financial Opening Accelerates. PIIE Policy Brief 20-17. Peterson Institute for International Economics.

An investigation into China's economy and market openness based on key economic data indicates that the economy in China today is generally more open than in 2010, but less open than in many other advanced countries. The level of market competition allowed and supported in the economy reached a score of 4.2 on a scale from zero (low competition) to ten (high competition), less than the open economy average of 7.2. Other investigated measures include: financial system development, the development of a modern innovation system, trade openness, direct investment openness, and portfolio investment openness.

The Chinese domestic database market is experiencing robust growth, driven by increasing government initiatives promoting digital transformation and the rising adoption of cloud computing and big data analytics across various sectors. The market, estimated at $5 billion USD in 2025, is projected to experience a Compound Annual Growth Rate (CAGR) of 15% from 2025 to 2033, reaching approximately $15 billion USD by 2033. This expansion is fueled by several key factors. Firstly, the substantial investment in digital infrastructure within China, particularly in areas like smart city development and industrial automation, is creating significant demand for reliable and secure domestic database solutions. Secondly, the government's emphasis on data sovereignty and national security is pushing organizations to adopt domestically developed databases, reducing reliance on foreign technologies. Thirdly, the increasing maturity of Chinese database technology providers, coupled with their competitive pricing and localized support, is attracting both public and private sector clients. Key segments driving growth include the smart government affairs and information security sectors, followed by industry digitalization and digital industrialization. While competition is intense amongst both established players and new entrants, the long-term outlook for the Chinese domestic database market remains extremely positive. However, challenges remain. The market still faces hurdles in achieving global technological parity with established international players. Furthermore, maintaining consistent innovation and addressing issues related to data security and interoperability will be crucial for continued growth. The dependence on specific segments, like government initiatives, creates some vulnerability to policy changes. Despite these challenges, the confluence of supportive government policies, expanding digital economy, and the maturation of domestic technology providers suggests that the Chinese domestic database market is poised for substantial and sustained expansion in the coming years. Continued investment in research and development, as well as a focus on international standards compliance, will be key for Chinese companies to strengthen their position in the global database landscape.

China Data Center Rack Market is Segmented by Rack Size (Quartely Rack, Half Rack, Full Rack), Rack Height (42U, 45U and More), Rack Type (Cabinet (Closed) Racks, Open-Frame Racks, Wall-Mount Racks), Data Center Type (Colocation Facilities, Hyperscale and Cloud Service Provider DCs, Enterprise and Edge), Material (Steel, Aluminum, Other Alloys and Composites). The Market Forecasts are Provided in Terms of Value (USD).

An investigation into China's economy and market openness based on key economic data indicates that the economy in China today is generally more open than in 2010, but less open than in many other advanced countries. The openness in international trade reached a score of 4.4 on a scale from zero (low openness) to ten (high openness), less than the open economy average of 6.0. Other investigated measures include: financial system development, the level of allowed and supported market competition, the development of a modern innovation system, direct investment openness, and portfolio investment openness.