100+ datasets found
  1. T

    China Shanghai Composite Stock Market Index Data

    • tradingeconomics.com
    • jp.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Dec 2, 2025
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    TRADING ECONOMICS (2025). China Shanghai Composite Stock Market Index Data [Dataset]. https://tradingeconomics.com/china/stock-market
    Explore at:
    xml, csv, excel, jsonAvailable download formats
    Dataset updated
    Dec 2, 2025
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 19, 1990 - Dec 2, 2025
    Area covered
    China
    Description

    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.

  2. T

    Shanghai Stock Exchange Composite Index - Index Price | Live Quote |...

    • tradingeconomics.com
    csv, excel, json, xml
    Updated May 29, 2017
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    TRADING ECONOMICS (2017). Shanghai Stock Exchange Composite Index - Index Price | Live Quote | Historical Chart | Trading Economics [Dataset]. https://tradingeconomics.com/shcomp:ind
    Explore at:
    xml, json, csv, excelAvailable download formats
    Dataset updated
    May 29, 2017
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 1, 2000 - Dec 2, 2025
    Area covered
    China
    Description

    Prices for Shanghai Stock Exchange Composite Index including live quotes, historical charts and news. Shanghai Stock Exchange Composite Index was last updated by Trading Economics this December 2 of 2025.

  3. Monthly Shanghai Stock Exchange Composite Index performance 2018-2025

    • statista.com
    Updated Apr 25, 2025
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    Statista (2025). Monthly Shanghai Stock Exchange Composite Index performance 2018-2025 [Dataset]. https://www.statista.com/statistics/452963/monthly-sse-composite-index-performance/
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    Dataset updated
    Apr 25, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Mar 2019 - Mar 2025
    Area covered
    China
    Description

    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.

  4. Shanghai Stock Exchange Data

    • lseg.com
    Updated Aug 19, 2025
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    LSEG (2025). Shanghai Stock Exchange Data [Dataset]. https://www.lseg.com/en/data-analytics/financial-data/pricing-and-market-data/equities-market-data/shanghai-stock-exchange-data
    Explore at:
    csv,delimited,gzip,html,json,pdf,python,text,user interface,xml,zip archiveAvailable download formats
    Dataset updated
    Aug 19, 2025
    Dataset provided by
    London Stock Exchange Grouphttp://www.londonstockexchangegroup.com/
    Authors
    LSEG
    License

    https://www.lseg.com/en/policies/website-disclaimerhttps://www.lseg.com/en/policies/website-disclaimer

    Description

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

  5. End-of-Day Pricing Market Data China Techsalerator

    • kaggle.com
    zip
    Updated Aug 23, 2023
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    Techsalerator (2023). End-of-Day Pricing Market Data China Techsalerator [Dataset]. https://www.kaggle.com/datasets/techsalerator/end-of-day-pricing-market-data-china-techsalerator
    Explore at:
    zip(17922 bytes)Available download formats
    Dataset updated
    Aug 23, 2023
    Authors
    Techsalerator
    Area covered
    China
    Description

    Techsalerator offers an extensive dataset of End-of-Day Pricing Data for all 2037 companies listed on the Shanghai Stock Exchange (XSHG) in China. 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 China:

    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 China:

    Shanghai Stock Exchange (SSE) Domestic Company Index: The main index that tracks the performance of domestic companies listed on the Shanghai Stock Exchange. This index provides an overview of the overall market performance in China.

    Shenzhen Stock Exchange (SZSE) Domestic Company Index: The index that tracks the performance of domestic companies listed on the Shenzhen Stock Exchange. This index reflects the performance of companies listed on the technology-focused exchange.

    Company A: A prominent Chinese company with diversified operations across various sectors, such as technology, finance, or manufacturing. This company's stock is widely traded on either the Shanghai Stock Exchange or the Shenzhen Stock Exchange.

    Company B: A leading financial institution in China, offering banking, insurance, or investment services. This company's stock is actively traded on one of the major stock exchanges in China.

    Company C: A major player in the Chinese agriculture sector or other industries, involved in the production and distribution of goods or services. This company's stock is listed and actively traded on either the Shanghai Stock Exchange or the Shenzhen Stock Exchange.

    If you're interested in accessing Techsalerator's End-of-Day Pricing Data for China, 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 China ?

    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 China?

    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 China 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 Botswana, Techsalerator also provides data for other countries and international markets.

    1. How do I pay for this dataset?

    T...

  6. T

    Shanghai 50 - Index Price | Live Quote | Historical Chart | Trading...

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Nov 3, 2015
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    TRADING ECONOMICS (2015). Shanghai 50 - Index Price | Live Quote | Historical Chart | Trading Economics [Dataset]. https://tradingeconomics.com/sse50:ind
    Explore at:
    excel, json, xml, csvAvailable download formats
    Dataset updated
    Nov 3, 2015
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 1, 2000 - Dec 3, 2025
    Area covered
    China
    Description

    Prices for Shanghai 50 including live quotes, historical charts and news. Shanghai 50 was last updated by Trading Economics this December 3 of 2025.

  7. f

    Summary statistics of limit hits in the whole period (Panel A), in the...

    • plos.figshare.com
    xls
    Updated Jun 4, 2023
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    Yu-Lei Wan; Wen-Jie Xie; Gao-Feng Gu; Zhi-Qiang Jiang; Wei Chen; Xiong Xiong; Wei Zhang; Wei-Xing Zhou (2023). Summary statistics of limit hits in the whole period (Panel A), in the bullish periods (Panel B), and in the bearish periods (Panel C). [Dataset]. http://doi.org/10.1371/journal.pone.0120312.t001
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 4, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Yu-Lei Wan; Wen-Jie Xie; Gao-Feng Gu; Zhi-Qiang Jiang; Wei Chen; Xiong Xiong; Wei Zhang; Wei-Xing Zhou
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    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.

  8. C

    China CN: Weighted Average Price: Shanghai SE: Credit Asset Backed...

    • ceicdata.com
    Updated Nov 28, 2025
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    CEICdata.com (2025). China CN: Weighted Average Price: Shanghai SE: Credit Asset Backed Securities [Dataset]. https://www.ceicdata.com/en/china/shanghai-stock-exchange-weighted-average-price--daily/cn-weighted-average-price-shanghai-se-credit-asset-backed-securities
    Explore at:
    Dataset updated
    Nov 28, 2025
    Dataset provided by
    CEICdata.com
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Nov 13, 2025 - Nov 28, 2025
    Area covered
    China
    Description

    China Weighted Average Price: Shanghai SE: Credit Asset Backed Securities data was reported at 0.000 RMB/Piece in 01 Dec 2025. This stayed constant from the previous number of 0.000 RMB/Piece for 28 Nov 2025. China Weighted Average Price: Shanghai SE: Credit Asset Backed Securities data is updated daily, averaging 0.000 RMB/Piece from Jul 2016 (Median) to 01 Dec 2025, with 2271 observations. The data reached an all-time high of 0.000 RMB/Piece in 01 Dec 2025 and a record low of 0.000 RMB/Piece in 01 Dec 2025. China Weighted Average Price: Shanghai SE: Credit Asset Backed Securities 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: Weighted Average Price : Daily.

  9. m

    Shanghai 2345 Network Holding Group - Stock Price Series

    • macro-rankings.com
    csv, excel
    Updated Dec 31, 2024
    + more versions
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    macro-rankings (2024). Shanghai 2345 Network Holding Group - Stock Price Series [Dataset]. https://www.macro-rankings.com/markets/stocks/002195-she
    Explore at:
    excel, csvAvailable download formats
    Dataset updated
    Dec 31, 2024
    Dataset authored and provided by
    macro-rankings
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    china, Shanghai
    Description

    Stock Price Time Series for Shanghai 2345 Network Holding Group. Shanghai Stonehill Technology Co., Ltd. provides internet information services in China. The company develops 2345 website navigation, browser, security guard, HaoZip, picture king, input method, weather forecast, blue bird wallpaper, and other products. It also involved in research and development of brain-like intelligence for diagnosis and evaluation of non-organic brain diseases, such as epilepsy, depression, severe insomnia, etc.; and equity investment, financial product investment, and other businesses. The company was formerly known as Shanghai 2345 Network Holding Group Co., Ltd. and changed its name to Shanghai Stonehill Technology Co., Ltd. in August 2023. Shanghai Stonehill Technology Co., Ltd. was founded in 1989 and is based in Shanghai, China.

  10. r

    minute-to-minute prices of 200 stocks in the Shanghai Stock Exchange

    • resodate.org
    • figshare.com
    Updated Jan 1, 2016
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    Bo Zheng (2016). minute-to-minute prices of 200 stocks in the Shanghai Stock Exchange [Dataset]. http://doi.org/10.6084/M9.FIGSHARE.2074528
    Explore at:
    Dataset updated
    Jan 1, 2016
    Dataset provided by
    figshare
    Authors
    Bo Zheng
    Description

    These are the minute-to-minute prices of 200 stocks in the Shanghai Stock Exchange and the daily closing prices of the Shanghai Index. The data of every stock and the index are from Jul. 27, 1999 to Nov. 5, 2003.

  11. C

    China CN: Weighted Average Price: Shanghai SE: Tri-party Repo

    • ceicdata.com
    Updated Dec 3, 2025
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    CEICdata.com (2025). China CN: Weighted Average Price: Shanghai SE: Tri-party Repo [Dataset]. https://www.ceicdata.com/en/china/shanghai-stock-exchange-weighted-average-price--daily/cn-weighted-average-price-shanghai-se-triparty-repo
    Explore at:
    Dataset updated
    Dec 3, 2025
    Dataset provided by
    CEICdata.com
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Nov 17, 2025 - Dec 2, 2025
    Area covered
    China
    Description

    China Weighted Average Price: Shanghai SE: Tri-party Repo data was reported at 0.000 % pa in 02 Dec 2025. This stayed constant from the previous number of 0.000 % pa for 01 Dec 2025. China Weighted Average Price: Shanghai SE: Tri-party Repo data is updated daily, averaging 2.093 % pa from Sep 2022 (Median) to 02 Dec 2025, with 785 observations. The data reached an all-time high of 5.673 % pa in 27 Dec 2023 and a record low of 0.000 % pa in 02 Dec 2025. China Weighted Average Price: Shanghai SE: Tri-party Repo 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: Weighted Average Price : Daily.

  12. r

    The minute-to-minute prices of 200 stocks in the Shanghai Stock Exchange and...

    • resodate.org
    • figshare.com
    Updated Jan 1, 2016
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    Bo Zheng (2016). The minute-to-minute prices of 200 stocks in the Shanghai Stock Exchange and the daily closing prices of the Shanghai Index [Dataset]. http://doi.org/10.6084/M9.FIGSHARE.2074558
    Explore at:
    Dataset updated
    Jan 1, 2016
    Dataset provided by
    figshare
    Authors
    Bo Zheng
    Description

    These are matlab files. For the ShangaiMinuteDataPart1 to ShangaiMinuteDataPart6, the first column represents year, the second one represents month, the third one represents date, the forth one represents hour, the fifth one represents minute, the others represents different stocks, the code of which is in ShangaiMinuteDataStockName.mat. The data for stocks and index are from Jul. 27, 1999 to Nov. 5, 2003.

  13. T

    Shanghai Electric | 601727 - Stock Price | Live Quote | Historical Chart

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Apr 1, 2016
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    TRADING ECONOMICS (2016). Shanghai Electric | 601727 - Stock Price | Live Quote | Historical Chart [Dataset]. https://tradingeconomics.com/601727:ch
    Explore at:
    json, csv, excel, xmlAvailable download formats
    Dataset updated
    Apr 1, 2016
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 1, 2000 - Dec 2, 2025
    Area covered
    Shanghai, China
    Description

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

  14. n

    House Price and the Stock Market Prices

    • narcis.nl
    • data.mendeley.com
    Updated May 21, 2019
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    Hong, Y (via Mendeley Data) (2019). House Price and the Stock Market Prices [Dataset]. http://doi.org/10.17632/72k38djkhm.1
    Explore at:
    Dataset updated
    May 21, 2019
    Dataset provided by
    Data Archiving and Networked Services (DANS)
    Authors
    Hong, Y (via Mendeley Data)
    Description

    The house price data are collected from the official website of China's National Bureau of Statistics . We acquired the month-on-month growth data of house prices since January 2006, then compiled the house price index based on January 2006 as 100. The Shanghai Stock Exchange Index (SSEI) data which are treated as stock market prices are derived from the CSMAR database. After that, we calculate the monthly house price and stock price return as , where are proxied by the monthly house price index and SSEI, and represent the returns series. 157 observations from January 2006 to March 2019 are obtained.

  15. m

    Shanghai Aiyingshi Co Ltd - Stock Price Series

    • macro-rankings.com
    csv, excel
    Updated Dec 31, 2024
    + more versions
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    macro-rankings (2024). Shanghai Aiyingshi Co Ltd - Stock Price Series [Dataset]. https://www.macro-rankings.com/Markets/Stocks?Entity=603214.SHG
    Explore at:
    csv, excelAvailable download formats
    Dataset updated
    Dec 31, 2024
    Dataset authored and provided by
    macro-rankings
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    china
    Description

    Stock Price Time Series for Shanghai Aiyingshi Co Ltd. Shanghai Aiyingshi Co.,Ltd provides maternal and child products and services primarily in China. The company's products include infant dairy products, feeding supplies, toiletries, cotton textiles, paper products, toys, lathes, and other products. It also offers value-added services, such as childcare and early education, infant touch, parenting consultation, parent-child entertainment, and maternity and infant expo. It operates stores in Shanghai, Jiangsu, Zhejiang, Fujian, Guangdong, Chongqing, Hunan, Hubei, Jiangxi, and Sichuan. The company also sells its products through an online platform. Shanghai Aiyingshi Co.,Ltd was founded in 1997 and is headquartered in Shanghai, China.

  16. m

    Shanghai Wanye Enterprises Co Ltd - Stock Price Series

    • macro-rankings.com
    csv, excel
    Updated Dec 31, 2024
    + more versions
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    macro-rankings (2024). Shanghai Wanye Enterprises Co Ltd - Stock Price Series [Dataset]. https://www.macro-rankings.com/Markets/Stocks/600641-SHG
    Explore at:
    csv, excelAvailable download formats
    Dataset updated
    Dec 31, 2024
    Dataset authored and provided by
    macro-rankings
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    china
    Description

    Stock Price Time Series for Shanghai Wanye Enterprises Co Ltd. Shanghai Wanye Enterprises Co.,Ltd engages in the residential real estate development business. It also manufactures and sells integrated circuits and photovoltaic ion implanter equipment. The company was founded in 1991 and is based in Shanghai, China.

  17. m

    Shanghai Jinqiao Export Processing Zone Development Co Ltd A - Stock Price...

    • macro-rankings.com
    csv, excel
    Updated Dec 31, 2024
    + more versions
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    macro-rankings (2024). Shanghai Jinqiao Export Processing Zone Development Co Ltd A - Stock Price Series [Dataset]. https://www.macro-rankings.com/Markets/Stocks/600639-SHG
    Explore at:
    csv, excelAvailable download formats
    Dataset updated
    Dec 31, 2024
    Dataset authored and provided by
    macro-rankings
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    china
    Description

    Stock Price Time Series for Shanghai Jinqiao Export Processing Zone Development Co Ltd A. Shanghai Jinqiao Export Processing Zone Development Co.,Ltd engages in the development and construction, investment promotion, industrial development, and carrier operation management in China. The company's property portfolio comprises apartment-style hotels, and commercial and office buildings. Shanghai Jinqiao Export Processing Zone Development Co.,Ltd was founded in 1992 and is based in Shanghai, China.

  18. Shanghai Index Forecast Eyes Market Shifts (Forecast)

    • kappasignal.com
    Updated Nov 27, 2025
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    KappaSignal (2025). Shanghai Index Forecast Eyes Market Shifts (Forecast) [Dataset]. https://www.kappasignal.com/2025/08/shanghai-index-forecast-eyes-market.html
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    Dataset updated
    Nov 27, 2025
    Dataset authored and provided by
    KappaSignal
    License

    https://www.kappasignal.com/p/legal-disclaimer.htmlhttps://www.kappasignal.com/p/legal-disclaimer.html

    Description

    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.

    Shanghai Index Forecast Eyes Market Shifts

    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

  19. m

    Data for: A Similarity Measurement for Time Series and its Application to...

    • data.mendeley.com
    Updated May 18, 2021
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    Feng Zhao (2021). Data for: A Similarity Measurement for Time Series and its Application to the Stock Market [Dataset]. http://doi.org/10.17632/jnpz28sgfx.1
    Explore at:
    Dataset updated
    May 18, 2021
    Authors
    Feng Zhao
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Description

    The data for our experiments is 285 stocks from the Shanghai Stock Exchange, and the total number of each stock is 1210 collected from trading days ranged from January 1st, 2016 to November 3rd, 2017.

  20. C

    China CN: Weighted Average Price: Shanghai SE: Pre-agreed Repo

    • ceicdata.com
    Updated Mar 25, 2025
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    CEICdata.com (2025). China CN: Weighted Average Price: Shanghai SE: Pre-agreed Repo [Dataset]. https://www.ceicdata.com/en/china/shanghai-stock-exchange-weighted-average-price--daily/cn-weighted-average-price-shanghai-se-preagreed-repo
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    Dataset updated
    Mar 25, 2025
    Dataset provided by
    CEICdata.com
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Mar 10, 2025 - Mar 25, 2025
    Area covered
    China
    Description

    China Weighted Average Price: Shanghai SE: Pre-agreed Repo data was reported at 2.608 % pa in 13 May 2025. This records a decrease from the previous number of 3.214 % pa for 12 May 2025. China Weighted Average Price: Shanghai SE: Pre-agreed Repo data is updated daily, averaging 5.004 % pa from Jul 2016 (Median) to 13 May 2025, with 2134 observations. The data reached an all-time high of 8.438 % pa in 12 Sep 2024 and a record low of 2.608 % pa in 13 May 2025. China Weighted Average Price: Shanghai SE: Pre-agreed Repo 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: Weighted Average Price : Daily.

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TRADING ECONOMICS (2025). China Shanghai Composite Stock Market Index Data [Dataset]. https://tradingeconomics.com/china/stock-market

China Shanghai Composite Stock Market Index Data

China Shanghai Composite Stock Market Index - Historical Dataset (1990-12-19/2025-12-02)

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15 scholarly articles cite this dataset (View in Google Scholar)
xml, csv, excel, jsonAvailable download formats
Dataset updated
Dec 2, 2025
Dataset authored and provided by
TRADING ECONOMICS
License

Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically

Time period covered
Dec 19, 1990 - Dec 2, 2025
Area covered
China
Description

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.

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