China's main stock market index, the SHANGHAI, fell to 3560 points on August 1, 2025, losing 0.37% from the previous session. Over the past month, the index has climbed 3.04% and is up 22.53% 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 August of 2025.

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.

China Closing Price: Shanghai 50 Index Futures: Quarter Month data was reported at 2,707.000 Index Point in 14 May 2025. This records an increase from the previous number of 2,654.200 Index Point for 13 May 2025. China Closing Price: Shanghai 50 Index Futures: Quarter Month data is updated daily, averaging 2,663.600 Index Point from Apr 2015 (Median) to 14 May 2025, with 2449 observations. The data reached an all-time high of 3,970.600 Index Point in 10 Feb 2021 and a record low of 1,750.200 Index Point in 25 Aug 2015. China Closing Price: Shanghai 50 Index Futures: Quarter Month data remains active status in CEIC and is reported by China Financial Futures Exchange. The data is categorized under China Premium Database’s Financial Market – Table CN.ZI: China Financial Futures Exchange: Index Futures: Closing and Settlement Price: 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.

Will the China A50 Index Continue Its Ascent?

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 Market Capitalization: Shanghai SE: Stock data was reported at 53,521.484 RMB bn in 14 May 2025. This records an increase from the previous number of 53,067.559 RMB bn for 13 May 2025. China Market Capitalization: Shanghai SE: Stock data is updated daily, averaging 30,861.314 RMB bn from Sep 2009 (Median) to 14 May 2025, with 3796 observations. The data reached an all-time high of 54,363.230 RMB bn in 08 Oct 2024 and a record low of 13,681.393 RMB bn in 03 Dec 2012. China Market Capitalization: Shanghai SE: Stock 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.ZA: Shanghai Stock Exchange: Market Capitalization: Daily.

Between March 4 and March 11, 2020, the S&P 500 index declined by ** percent, descending into a bear market. On March 12, 2020, the S&P 500 plunged *** percent, its steepest one-day fall since 1987. The index began to recover at the start of April and reached a peak in December 2021. As of December 29, 2024, the value of the S&P 500 stood at ******** points. Coronavirus sparks stock market chaos Stock markets plunged in the wake of the COVID-19 pandemic, with investors fearing its spread would destroy economic growth. Buoyed by figures that suggested cases were leveling off in China, investors were initially optimistic about the virus being contained. However, confidence in the market started to subside as the number of cases increased worldwide. Investors were deterred from buying stocks, and this was reflected in the markets – the values of the Dow Jones Industrial Average and the Nasdaq Composite also dived during the height of the crisis. What is a bear market? A bear market occurs when the value of a stock market suffers a prolonged decline of more than 20 percent over a period of at least 2 months. The COVID-19 pandemic caused severe concern and sent stock markets on a steep downward spiral. The S&P 500 achieved a record closing high of ***** on February 19, 2020. However, just over 3 weeks later, the market closed on *****, which represented a decline of around ** percent in only 16 sessions.

China Market Cap: Shanghai SE: Tradable: Education data was reported at 15,191.000 RMB mn in Mar 2025. This stayed constant from the previous number of 15,191.000 RMB mn for Feb 2025. China Market Cap: Shanghai SE: Tradable: Education data is updated monthly, averaging 11,526.000 RMB mn from Jan 2013 (Median) to Mar 2025, with 147 observations. The data reached an all-time high of 22,469.000 RMB mn in Oct 2019 and a record low of 1,066.000 RMB mn in Jan 2013. China Market Cap: Shanghai SE: Tradable: Education 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.ZA: Shanghai Stock Exchange: Market Capitalization.

Graph and download economic data for CBOE China ETF Volatility Index (DISCONTINUED) (VXFXICLS) from 2011-03-16 to 2022-02-11 about ETF, VIX, volatility, stock market, China, and USA.

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.

FTSE China A50 Index Target Price Prediction

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.

Can China A50 Break Above Resistance and Rally?

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 recorded a trade surplus of 114.77 USD Billion in June of 2025. This dataset provides - China Balance of Trade - actual values, historical data, forecast, chart, statistics, economic calendar and news.

The China Data Center Power Market is Segmented by Component (Electrical Solutions, Services), by Data Center Type (Hyperscaler/Cloud Service Providers, Colocation Providers, and More), by Data Center Size (Small Size Data Centers, Medium Size Data Centers, Large Size Data Centers and More), by Tier Type (Tier I and II, Tier III, Tier IV) and Region. The Market Forecasts are Provided in Terms of Value (USD)

China Market Cap: Shanghai SE: Tradable: Convertible Bond data was reported at 100,006.000 RMB mn in Aug 2018. This records an increase from the previous number of 95,603.000 RMB mn for Jul 2018. China Market Cap: Shanghai SE: Tradable: Convertible Bond data is updated monthly, averaging 30,780.000 RMB mn from Jan 2005 (Median) to Aug 2018, with 164 observations. The data reached an all-time high of 197,810.000 RMB mn in Nov 2014 and a record low of 4,733.050 RMB mn in Aug 2006. China Market Cap: Shanghai SE: Tradable: Convertible Bond 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.ZA: Shanghai Stock Exchange: Market Capitalization.

This study investigates the dynamic and asymmetric propagation of return spillovers between sectoral commodities and industry stock markets in China. Using a daily dataset from February 2007 to July 2022, we employ a time-varying vector autoregressive (TVP-VAR) model to examine the asymmetric return spillovers and dynamic connectedness across sectors. The results reveal significant time-varying spillovers among these sectors, with the industry stocks acting as the primary transmitter of information to the commodity market. Materials, energy, and industrials stock sectors contribute significantly to these spillovers due to their close ties to commodity production and processing. The study also identifies significant asymmetric spillovers with bad returns dominating, influenced by major economic and political events such as the 2008 global financial crisis, the 2015 Chinese stock market crisis, the COVID-19 pandemic, and the Russia-Ukraine war. Furthermore, our study highlights the unique dynamics within the Chinese market, where net information spillovers from the stock market to commodities drive the financialization process, which differs from the bidirectional commodity financialization observed in other markets. Finally, portfolio analysis reveals that the minimum connectedness portfolio outperforms other approaches and effectively reflects asymmetries. Understanding these dynamics and sectoral heterogeneities has important implications for risk management, policy development, and trading practices.

The size of the China Data Center Physical Security market was valued at USD XXX Million in 2023 and is projected to reach USD XXX Million by 2032, with an expected CAGR of 17.08% during the forecast period.Data center physical security is the securing of data centers from physical risks and unauthorized access. It deals with the protection of physical infrastructures, equipment, and sensitive information kept within the data center.Data centers hold some business and personal information, which makes it very important to secure their physical components. This includes a multilayered security system: perimeter security, access control systems, video surveillance, environmental monitoring, and intrusion detection systems. The perimeter security includes fencing, lighting, and closed-circuit television to deter unapproved access to the data center facility. The access control systems will incorporate biometric authentication as well as card readers that limit the access to only authorized personnel. Video surveillance systems will be used to monitor all the activities within the data center while environmental monitoring systems will be used to ensure optimum conditions for equipment operation. It finds the intrusion or disturbance with all its types and informs to security personals.The China Datacenter physical security market is increasingly going up due to huge growing of data centers in that nation. This is also because business units that require data centers are waking up to the importance of protection on such data centers. Thus with continued dependence of China-based businesses on data center physical security solutions will continue. Recent developments include: April 2023: Schneider Electric launched a new Services offer, EcoCare for Modular Data Centers services membership. Members of this innovative service plan benefit from specialized expertise to maximize modular data centers' uptime with 24/7 proactive remote monitoring and condition-based maintenance. Members also benefit from support provided in the form of a dedicated customer success management team, who become their coach, planning on-site and remote services teams and monitoring maintenance and infrastructure needs at a system level rather than an ad hoc approach for each asset only when problems arise., August 2023: Metrasens announced its partnership with Convergint. Through this partnership, Metrasens provided its advanced detection systems through Convergint’s portfolio.. Key drivers for this market are: Increasing Data Traffic and Need for Secured Connectivity are Promoting the Growth of the Data Center Physical Security Market, Rise in Cyber Threats is Causing the Data Center Physical Security Market to Grow. Potential restraints include: Limited IT Budgets, Availability of Low-Cost Substitutes, and Piracy are Discouraging the Potential Growth of Data Center Physical Security Market. Notable trends are: The Video Surveillance Segment Holds a Significant Share in the Market.

In 2020, 5G market revenue in China was estimated to be around *** trillion yuan, which was expected to surge to *** trillion yuan by the end of the next decade. The market revenue is predicted to grow the most in 2021, doubling the revenue in just the third year since the introduction of 5G in China.

Global 5G market  

 Along with the rapid advance of mobile internet technology in the last decade, the introduction of 5G connection has been long awaited in the last few years. It was forecasted that in the next five years, the number of mobile 5G subscriptions worldwide will rise exponentially from ** million to almost two billion, among which North East Asia alone was expected to account for almost *** billion, close to triple that of North America.

Chinese 5G smartphone market  

 Since the introduction of 5G smartphones in the third quarter of 2019, sales in China has skyrocketed from *** million units to over ** million units in just three quarters. As such models are usually the latest flagship models of vendors, these smartphones tend to be pricier. However, the prices also seemed to be decreasing over time with the market getting increasingly competitive.

The China animation, VFX, and post-production market is experiencing robust growth, projected to reach $19.56 billion in 2025 and maintain a Compound Annual Growth Rate (CAGR) of 11.06% from 2025 to 2033. This expansion is fueled by several key drivers. The surging popularity of animation and VFX-heavy content across television, OTT platforms, film, advertising, and gaming is a significant factor. Increased investment in technological advancements, particularly in software and hardware for animation and visual effects, is further propelling market growth. Moreover, the rising disposable incomes within China and the growing demand for high-quality visual content are creating favorable conditions for market expansion. A burgeoning domestic talent pool, coupled with government initiatives promoting the animation and VFX industry, is also contributing to this positive trajectory. However, the market faces certain challenges. Competition from established international players necessitates continuous innovation and adaptation by Chinese firms. Maintaining consistent quality control across various projects, especially given the rapid pace of production, poses an ongoing challenge. Furthermore, regulatory changes and fluctuations in government policies can influence market dynamics. Despite these restraints, the long-term outlook remains positive, driven by sustained demand for engaging visual content and the ongoing development of sophisticated animation and VFX technologies within China. The segmentation by animation platform (Television and OTT, Films, Advertising, Gaming, Other) indicates diverse opportunities for businesses to specialize and cater to specific market niches. Key players like BaseFX, Original Force, China Film Animation, Lerfilm Inc, and RedHot VFX Inc are leading the charge, showcasing the considerable entrepreneurial activity within this rapidly developing sector. Recent developments include: January 2024: Hong Kong-listed movie producer Alibaba Pictures announced a collaboration with Tokyo's renowned animation studio, Studio Ghibli. This partnership aims to host exhibitions and create animations tailored for the Chinese audience. As part of this strategic alliance, Alibaba Pictures is set to co-develop Studio Ghibli's latest film, "The Boy and the Heron", which has yet to debut in Mainland Chinese theaters.July 2024: Hollywood's visual effects company, Digital Domain, announced an investment of HKD 200 million (USD 25.6 million), laying the groundwork for a global innovation and research center. Renowned for its visual effects work on blockbuster films like Titanic and The Avengers, Digital Domain has ambitious plans. The company intends to channel its investment by the close of 2029, focusing on advancing AI virtual humans, visual effects, digital assets, and AI-driven visual production. Digital Domain is also eyeing a team of at least 40 experts at the science park. It plans to file five patent applications in Hong Kong, underscoring its commitment to scientific innovation and bolstering intellectual property rights.. Key drivers for this market are: Increase in the usage of Digital Video Streaming Platforms, Increased Demand for High-Quality Visual Content in the entertainment market. Potential restraints include: Increase in the usage of Digital Video Streaming Platforms, Increased Demand for High-Quality Visual Content in the entertainment market. Notable trends are: Increased Demand for High-quality Visual Content in the Entertainment Market.

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.

How do you determine buy or sell? (FTSE China A50 Index Stock Forecast)

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 size of the China Battery Manufacturing Equipment Market was valued at USD 12000 Million in 2023 and is projected to reach USD 86500 Million by 2032, with an expected CAGR of 24.00">> 24.00% during the forecast period. The China battery manufacturing equipment market supports the nation's growing battery production, driven by electric vehicles and energy storage requirements. It comprises various kinds of machinery necessary for electrode coating, cell assembly, and testing, with high precision, automation, and advanced technologies such as smart controls. The most prominent types of equipment are automated lines, coating machines, and diagnostic tools. This enhances large-scale production with energy storage while adding efficiency, better quality, and increased scalability to it. This sophisticated equipment entails a big up-front investment, which is a major drawback. The rising demand for batteries was already stimulating the market but now accelerates further in demand and innovations. Recent developments include: In December 2022, the Chinese car company GAC announced that they had started building a production facility for electric car batteries in Guangzhou. With a total investment of USD 1.561 billion, the new factory is scheduled to operate in March 2024 with an annual production capacity of 6 GWh., In November 2022, BYD announced they are further expanding their battery production capacities in China with a new plant in Wenzhou in Zhejiang province. The new factory will have an annual capacity of 20 gigawatt-hours and is scheduled to start production in 2024.. Key drivers for this market are: 4., Declining Cost of Lithium Batteries4.; Increased Adoption of Renewable Energy. Potential restraints include: 4., Mismatch in Demand and Supply of Raw Materials for Battery Manufacturing. Notable trends are: Automotive Segment to Dominate the Market.

China Market Cap: Shanghai SE: Tradable: Treasury Bond Spot data was reported at 10,961,225.000 RMB mn in Aug 2018. This records an increase from the previous number of 10,824,895.000 RMB mn for Jul 2018. China Market Cap: Shanghai SE: Tradable: Treasury Bond Spot data is updated monthly, averaging 4,244,642.500 RMB mn from Jan 2005 (Median) to Aug 2018, with 164 observations. The data reached an all-time high of 10,961,225.000 RMB mn in Aug 2018 and a record low of 794,614.340 RMB mn in Jan 2005. China Market Cap: Shanghai SE: Tradable: Treasury Bond Spot 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.ZA: Shanghai Stock Exchange: Market Capitalization.