China's main stock market index, the SHANGHAI, fell to 3898 points on December 2, 2025, losing 0.42% from the previous session. Over the past month, the index has declined 1.98%, though it remains 15.36% higher than a year ago, 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 December of 2025.

As of March 2025, the SSE Composite Index had closed at 3,335.75 points. The index reflects the performance of all stocks traded on the Shanghai Stock Exchange, including both boards, the main board, and the Star market. SSE still number one In the greater Chinese region, the stock exchange in Shanghai was the largest, beating the bourses in Shenzhen, Hong Kong, and Taiwan. In 2023, the Shanghai Stock Exchange recorded a market capitalization of over 6.5 trillion. Not only market capitalization was a unique attribute, but the Shanghai Stock Exchange was also home to the most valuable stock in mainland China, which was the baijiu producer Moutai Kweichow. Limited access Despite its size, the exchange in Shanghai only grants limited access to overseas investors. The bourse listed A-shares and B-shares. While A-shares are denominated in yuan and almost exclusively available for domestic traders, the prices of B-shares are in U.S. dollars and available for overseas investors as well. In addition, the bourse offers access to foreign investors through a trading accreditation which is supervised by the Chinese authorities. However, these tight controls are the reason why Hong Kong, despite its lower relative market capitalization, remains an important gateway to capital for mainland Chinese companies.

Key information about China Market Capitalization

• China Market Capitalization accounted for 14,954.040 USD bn in Oct 2025, compared with a percentage of 14,772.008 USD bn in the previous month
• China Market Capitalization is updated monthly, available from Jul 1995 to Oct 2025
• The data reached an all-time high of 14,954.040 USD bn in Oct 2025 and a record low of 40.601 USD bn in Jan 1996

CEIC calculates monthly Market Capitalization as the sum of Market Capitalization of Shanghai Stock Exchange and Market Capitalization of Shenzhen Stock Exchange and converts it into USD. Shanghai Stock Exchange and Shenzhen Stock Exchange provides Market Capitalization in local currency. The Federal Reserve Board period end market exchange rate is used for currency conversions.

At yearend 2024, the trading volume of China's stock market had amounted to approximately ** trillion shares. The statistic shows the trading volume of stock transactions taking place at both the Shanghai Stock Exchange and the Shenzhen Stock Exchange. The bourses are the vanguard of China's trading industry.

In 2024, China's stock market generated a revenue of over *** trillion yuan. In 2015, attracted many investors with a sharp increase in stock prices. It culminated in stock market turbulences and significant losses for many market participants. Up to 2020, the stock market generated the highest revenue in that year.

China Index: Shanghai Stock Exchange: 50 Index data was reported at 2,633.160 31Dec2003=1000 in Apr 2025. This records a decrease from the previous number of 2,665.630 31Dec2003=1000 for Mar 2025. China Index: Shanghai Stock Exchange: 50 Index data is updated monthly, averaging 2,319.570 31Dec2003=1000 from Jan 2004 (Median) to Apr 2025, with 256 observations. The data reached an all-time high of 4,627.780 31Dec2003=1000 in Oct 2007 and a record low of 731.000 31Dec2003=1000 in May 2005. China Index: Shanghai Stock Exchange: 50 Index data remains active status in CEIC and is reported by Shanghai Stock Exchange. The data is categorized under Global Database’s China – Table CN.ZA: Shanghai Stock Exchange: Indices.

Hong Kong's main stock market index, the HK50, rose to 26095 points on December 2, 2025, gaining 0.24% from the previous session. Over the past month, the index has declined 0.24%, though it remains 32.15% higher than a year ago, according to trading on a contract for difference (CFD) that tracks this benchmark index from Hong Kong. Hong Kong Stock Market Index (HK50) - values, historical data, forecasts and news - updated on December of 2025.

China Stock Market - Shanghai Composite Index - Historical chart and current data through 2025.

Browse LSEG's Shanghai Stock Exchange (SSE) Data, and view multiple asset classes including equities, bonds, indices, funds and stock options.

The Beijing Stock Exchange was the latest addition to mainland China's financial industry. In January 2025, the market capitalization reached more than *** billion yuan. The new stock exchange was created by reforming the National Equities Exchange and Quotations (NEEQ) with the intention to provide SMEs who are excluded from the large exchange with a way to obtain capital.

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

China PE Ratio: Trailing Twelve Months: Shanghai SE: 180 Index data was reported at 11.300 NA in 14 May 2025. This records an increase from the previous number of 11.150 NA for 13 May 2025. China PE Ratio: Trailing Twelve Months: Shanghai SE: 180 Index data is updated daily, averaging 11.220 NA from Oct 2008 (Median) to 14 May 2025, with 4001 observations. The data reached an all-time high of 20.900 NA in 26 Apr 2010 and a record low of 7.610 NA in 19 May 2014. China PE Ratio: Trailing Twelve Months: Shanghai SE: 180 Index data remains active status in CEIC and is reported by China Securities Index Co., Ltd.. The data is categorized under China Premium Database’s Financial Market – Table CN.ZA: Shanghai Stock Exchange: PE and PB Ratio: Daily.

1. The series of files named as ‘*_polarity.csv’ in folder ‘polarity’ includes the trading polarities of stocks listed on Shenzhen Stock Exchange from May 4 to July 31 2015. The eight numbers in the filenames specify the dates. The columns of these dataframes indicate the stock names, while the indices of dataframes indicate the time. The granularity of trading polarity is 1 minute for every stock. These trading polarities are calculated from the serial numbers for buyers and sellers in transactions data. The original transactions data is not publicly available due to the company’s license requirement.2. The files in the 'log_ret' folder cover the log returns of 1646 stocks listed on Shenzhen Stock Exchange from May 4 to July 31 2015. These data are calculated from the intraday price trends data provided by Thomson Reuters’ Tick History. The original price trends data is not publicly available due to the company’s license requirement.3. The file named as "stock_market_value.csv" gives the capitalization of stocks in June 31 2015, which is downloaded from Wind Information and we have converted the unit of measure from RMB into a dollar. Due to license requirements of the data companies, all of the above files have converted the names of stocks into integers in a consistent way. 4. Please cite the following paper:Shan Lu, Jichang Zhao and Huiwen Wang. Trading Imbalance in Chinese Stock Market—A High-Frequency View. Entropy, 2020, 22(8), 897.

Historical dataset of the China Stock Market Index (CSI 300), covering values from 2005-04-01 to 2025-12-02, with the latest releases and long-term trends. Available for free download in CSV format.

Actual value and historical data chart for China Stock Market Capitalization To GDP Percent

Graph and download economic data for Stock Market Turnover Ratio (Value Traded/Capitalization) for China (DDEM01CNA156NWDB) from 2003 to 2020 about ratio, stock market, and China.

Actual value and historical data chart for China Market Capitalization Of Listed Companies Us Dollar

Key information about China Market Capitalization: % of GDP

• China Market Capitalization accounted for 63.4 % of its Nominal GDP in Dec 2024, compared with a percentage of 59.7 % in the previous year
• China Market Capitalization: % Nominal GDP is updated yearly, available from Dec 1995 to Dec 2024
• The data reached an all-time high of 119.3 % in Dec 2007 and a record low of 5.6 % in Dec 1995

CEIC calculates annual Market Capitalization as % of Nominal GDP from monthly Market Capitalization and annual Nominal GDP. Market Capitalization is calculated as the sum of Market Capitalization of Shanghai Stock Exchange and Market Capitalization of Shenzhen Stock Exchange. Shanghai Stock Exchange and Shenzhen Stock Exchange provides Market Capitalization in local currency. The National Bureau of Statistics provides Nominal GDP in local currency.


Further information about China Market Capitalization: % of GDP

• In the latest reports, Shanghai Stock Exchange recorded a daily P/E ratio of 16.1 in Dec 2025
• Shanghai Shenzhen 300 closed at 4,526.7 points in Nov 2025

The dataset used in this paper is a collection of financial time series data, including daily open price, high price, low price, close price, and trading volume.

This dataset is an augmented Chinese stock market dataset that includes not only OHLC prices and volume data, but also some other financial ratios at daily frequency, like PE, PB, PS ratio, dividend yield, and etc. The covered period is from Jan 4th, 2005, to May 11th, 2022. All data are available at "daily frequency", including FRs (financial ratios) like PE ratio and some fundamentals like total market cap, etc. It takes sufficiently large amount of time to gather information/data about all liquid and publicly traded stocks on Shanghai Stock Exchange and Shenzhen Stock Exchange (a total of 4714 stocks, as identified by their ticker symbols). Please note that there're some "ST" stocks included in this dataset as well. Users/Researchers should pay particular attention to those stocks as those stocks are experiencing financial distress. Therefore, these stocks are very likely to go bankrupt/delisted in 3 years if companies' financial condition doesn't improve. "ST" stocks can be found in "ticker_info.csv" file with "ST" included in the "company name" column. Users can merge it with "stock_data.csv" if they want to exclude these "ST" stock data. In my dataset, all the columns (or features) are pure features, indicating that none of these features are generated from other features (ex. "20-day momentum" is a generated feature from "close" data, etc.). Users can create generated technical indicators/factors themselves to augment the features and apply feature engineering to this richer (augmented) pool of features. I hope the contribution of this dataset will advance the research in the area of (quantitative) finance, algorithmic trading, economics and more.