China's main stock market index, the SHANGHAI, fell to 3573 points on July 31, 2025, losing 1.18% from the previous session. Over the past month, the index has climbed 3.34% and is up 21.85% 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.

Graph and download economic data for Financial Market: Share Prices for China (SPASTT01CNM661N) from Jan 1999 to May 2025 about stock market and China.

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 July 31 of 2025.

Bank Of China stock price, live market quote, shares value, historical data, intraday chart, earnings per share and news.

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

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

Stock price volatility in China was reported at 18.24 in 2021, according to the World Bank collection of development indicators, compiled from officially recognized sources. China - Stock price volatility - actual values, historical data, forecasts and projections were sourced from the World Bank on July of 2025.

China: Stock market return, percent: The latest value from 2021 is 13.47 percent, an increase from 7.07 percent in 2020. In comparison, the world average is 32.21 percent, based on data from 87 countries. Historically, the average for China from 1991 to 2021 is 20.88 percent. The minimum value, -33.59 percent, was reached in 1994 while the maximum of 308.94 percent was recorded in 1992.

Graph and download economic data for Share Prices: All Shares/Broad: Total for China (SPASTT01CNQ657N) from Q2 1999 to Q1 2025 about stock market and China.

The most complete Chinese stock market historical price covering 5100 companies from 1990 - 2024 Covering Shenzhen Stock Market (SZ) and Shanghai Stock Market (SS) - 5103 companies - Start date: 1990-12-19 - End date: 2024-05-23

The data set comes from our working paper "Tweet Sentiments and Stock Market: New Evidence from China", including the stock prices, number of stock-related tweets with different emotions at different days.It shows the closing price of Shanghai composite index (SHCI), volumes of Tweets with different sentiments and two indices based on the Tweets. The first column shows the time, covering the period of 2014/06/03-2014/12/31. The second column is the SHCI of each trading day. The 3rd-8th columns are the numbers of Tweets with different sentiments, including anger, joyful, disgust, fear and sadness. The 9th column is the number of Tweets with negative sentiments. The last two columns show the indices of Agreement and Bullishness.Please cite the paper: Yingying Xu, Zhixin Liu, Jichang Zhao and Chiwei Su. Weibo sentiments and stock return: A time- frequency view. PLoS ONE 12(7): e0180723, 2017.

China A50 index is expected to maintain its upward momentum in the near term. The index could continue to benefit from the country's strong economic recovery, supportive government policies, and the weakness of the US dollar. However, investors should be aware of potential risks, including the ongoing trade tensions between China and the US, the COVID-19 pandemic, and the possibility of a slowdown in the Chinese economy.

The latest closing stock price for HUTCHMED (China) as of June 26, 2025 is 15.34. An investor who bought $1,000 worth of HUTCHMED (China) stock at the IPO in 2016 would have $145 today, roughly 0 times their original investment - a 1.51% compound annual growth rate over 9 years. The all-time high HUTCHMED (China) stock closing price was 42.94 on August 09, 2021. The HUTCHMED (China) 52-week high stock price is 21.50, which is 40.2% above the current share price. The HUTCHMED (China) 52-week low stock price is 11.51, which is 25% below the current share price. The average HUTCHMED (China) stock price for the last 52 weeks is 16.39. For more information on how our historical price data is adjusted see the Stock Price Adjustment Guide.

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.

• Only market data, eg. stock price, transaction amount, turnover etc. No enterprise data or valuation data included.
• Only China A-stock is included, B/H stock or ETF or HK listed is out of scope.
• In China stock market, the small capital stock price fluctuate heavily. It is not effective for long term analysis or modeling. This dataset only contains the stocks whose market capital larger than 3 billion CNY (eqv 500m USD)
• The data set are split into 4 csv files by market capital at snapshot 2021-12-31 approximately. Please combine them together if you don't have preference on the market capital breakdown.
• In the label files, label_f{}t{} means whether the stock price change exceed the threshold(t) in future(f) days. eg. label_f5t10 means the price raises over 10% in 5 days after current date(row date).

Bank Of China HK stock price, live market quote, shares value, historical data, intraday chart, earnings per share and news.

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.

China Resources stock price, live market quote, shares value, historical data, intraday chart, earnings per share and news.

Key information about China P/E ratio

• China Shanghai Stock Exchange recorded a daily P/E ratio of 14.340 on 27 Mar 2025, compared with 14.330 from the previous day.
• China Shanghai Stock Exchange P/E ratio is updated daily, with historical data available from Apr 2001 to Mar 2025.
• The P/E ratio reached an all-time high of 27.970 in Apr 2010 and a record low of 9.590 in May 2014.
• Shanghai Stock Exchange provides daily P/E Ratio.

End-of-day prices refer to the closing prices of various financial instruments, such as equities (stocks), bonds, and indices, at the end of a trading session on a particular trading day. These prices are crucial pieces of market data used by investors, traders, and financial institutions to track the performance and value of these assets over time. The Techsalerator closing prices dataset is considered the most up-to-date, standardized valuation of a security trading commences again on the next trading day. This data is used for portfolio valuation, index calculation, technical analysis and benchmarking throughout the financial industry. The End-of-Day Pricing service covers equities, equity derivative bonds, and indices listed on 170 markets worldwide.