15 datasets found
  1. US Stock Market Data: S&P 500 Index (1901–2025)

    • kaggle.com
    Updated May 13, 2025
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    Ahmadul Karim Chowdhury (2025). US Stock Market Data: S&P 500 Index (1901–2025) [Dataset]. https://www.kaggle.com/datasets/ahmadulkc/s-and-p-500-historical-monthly-prices-19012025/code
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    May 13, 2025
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Ahmadul Karim Chowdhury
    Description

    This dataset contains the monthly historical data of the S&P 500 index from January 1901 to May 2025, collected from Investing.com. The S&P 500 is a stock market index that tracks the performance of 500 large companies listed on stock exchanges in the United States.

    It is widely used as a benchmark for the U.S. equity market, representing over 80% of the total market capitalization. This dataset is suitable for:

    • Time-series forecasting
    • Economic event impact analysis (e.g., wars, recessions, pandemics)
    • Financial visualizations in Tableau or Power BI
    • Quantitative finance and portfolio management research

    Column Descriptions

    ColumnDescription
    DateMonthly date in MM-DD-YY format (e.g., 01-01-24 = Jan 2024)
    PriceClosing price of the S&P 500 for the month
    OpenOpening price of the index for the month
    HighHighest price during the month
    LowLowest price during the month
    Change %Percentage change from previous month’s close

    Potential Use Cases:

    • Visualizing market impact of wars, financial crises, and pandemics
    • Analyzing long-term trends in the U.S. equity market
    • Forecasting future index levels using machine learning
    • Annotating economic history alongside market movements

    Citation:

    Data source: Investing.com

  2. F

    S&P 500

    • fred.stlouisfed.org
    json
    Updated Jul 11, 2025
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    (2025). S&P 500 [Dataset]. https://fred.stlouisfed.org/series/SP500
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Jul 11, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-pre-approvalhttps://fred.stlouisfed.org/legal/#copyright-pre-approval

    Description

    View data of the S&P 500, an index of the stocks of 500 leading companies in the US economy, which provides a gauge of the U.S. equity market.

  3. India Stock Market (daily updated)

    • kaggle.com
    Updated Jan 31, 2022
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    Larxel (2022). India Stock Market (daily updated) [Dataset]. https://www.kaggle.com/datasets/andrewmvd/india-stock-market/discussion
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Jan 31, 2022
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Larxel
    License

    https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

    Area covered
    India
    Description

    About this dataset

    India's National Stock Exchange (NSE) has a total market capitalization of more than US$3.4 trillion, making it the world's 10th-largest stock exchange as of August 2021, with a trading volume of ₹8,998,811 crore (US$1.2 trillion) and more 2000 total listings.

    NSE's flagship index, the NIFTY 50, is a 50 stock index is used extensively by investors in India and around the world as a barometer of the Indian capital market.

    This dataset contains data of all company stocks listed in the NSE, allowing anyone to analyze and make educated choices about their investments, while also contributing to their countries economy.

    How to use this dataset

    • Create a time series regression model to predict NIFTY-50 value and/or stock prices.
    • Explore the most the returns, components and volatility of the stocks.
    • Identify high and low performance stocks among the list.

    Highlighted Notebooks

    Acknowledgements

    License

    CC0: Public Domain

    Splash banner

    Stonks by unknown memer.

  4. The Dow Jones U.S. Completion Total Stock Market Index (Forecast)

    • kappasignal.com
    Updated May 8, 2023
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    KappaSignal (2023). The Dow Jones U.S. Completion Total Stock Market Index (Forecast) [Dataset]. https://www.kappasignal.com/2023/05/the-dow-jones-us-completion-total-stock.html
    Explore at:
    Dataset updated
    May 8, 2023
    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.

    The Dow Jones U.S. Completion Total Stock Market Index

    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

  5. Costa Rica CR: Market Capitalization: Listed Domestic Companies

    • ceicdata.com
    • dr.ceicdata.com
    Updated Feb 27, 2018
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    CEICdata.com (2018). Costa Rica CR: Market Capitalization: Listed Domestic Companies [Dataset]. https://www.ceicdata.com/en/costa-rica/financial-sector/cr-market-capitalization-listed-domestic-companies
    Explore at:
    Dataset updated
    Feb 27, 2018
    Dataset provided by
    CEIC Data
    License

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

    Time period covered
    Dec 1, 2010 - Dec 1, 2022
    Area covered
    Costa Rica
    Variables measured
    Turnover
    Description

    Costa Rica CR: Market Capitalization: Listed Domestic Companies data was reported at 2.232 USD bn in 2022. This records an increase from the previous number of 2.041 USD bn for 2021. Costa Rica CR: Market Capitalization: Listed Domestic Companies data is updated yearly, averaging 1.901 USD bn from Dec 1993 (Median) to 2022, with 25 observations. The data reached an all-time high of 3.011 USD bn in 2017 and a record low of 357.000 USD mn in 1993. Costa Rica CR: Market Capitalization: Listed Domestic Companies data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Costa Rica – Table CR.World Bank.WDI: Financial Sector. Market capitalization (also known as market value) is the share price times the number of shares outstanding (including their several classes) for listed domestic companies. Investment funds, unit trusts, and companies whose only business goal is to hold shares of other listed companies are excluded. Data are end of year values converted to U.S. dollars using corresponding year-end foreign exchange rates.;World Federation of Exchanges database.;Sum;Stock market data were previously sourced from Standard & Poor's until they discontinued their 'Global Stock Markets Factbook' and database in April 2013. Time series have been replaced in December 2015 with data from the World Federation of Exchanges and may differ from the previous S&P definitions and methodology.

  6. Share of Americans investing money in the stock market 1999-2024

    • statista.com
    Updated Jun 25, 2025
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    Statista (2025). Share of Americans investing money in the stock market 1999-2024 [Dataset]. https://www.statista.com/statistics/270034/percentage-of-us-adults-to-have-money-invested-in-the-stock-market/
    Explore at:
    Dataset updated
    Jun 25, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    1999 - 2024
    Area covered
    United States
    Description

    In 2024, ** percent of adults in the United States invested in the stock market. This figure has remained steady over the last few years, and is still below the levels before the Great Recession, when it peaked in 2007 at ** percent. What is the stock market? The stock market can be defined as a group of stock exchanges, where investors can buy shares in a publicly traded company. In more recent years, it is estimated an increasing number of Americans are using neobrokers, making stock trading more accessible to investors. Other investments A significant number of people think stocks and bonds are the safest investments, while others point to real estate, gold, bonds, or a savings account. Since witnessing the significant one-day losses in the stock market during the Financial Crisis, many investors were turning towards these alternatives in hopes for more stability, particularly for investments with longer maturities. This could explain the decrease in this statistic since 2007. Nevertheless, some speculators enjoy chasing the short-run fluctuations, and others see value in choosing particular stocks.

  7. Historical Data for FAANG Stocks

    • kaggle.com
    Updated Oct 14, 2020
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    BrianTheCoder (2020). Historical Data for FAANG Stocks [Dataset]. https://www.kaggle.com/datasets/brianthecoder/historical-data-for-faang-stocks/discussion
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Oct 14, 2020
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    BrianTheCoder
    License

    https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

    Description

    Context

    According to Investopedia:

    FAANG is an acronym referring to the stocks of the five most popular and best-performing American technology companies: Facebook, Amazon, Apple, Netflix and Alphabet (formerly known as Google). In addition to being widely known among consumers, the five FAANG stocks are among the largest companies in the world, with a combined market capitalization of over $4.1 trillion as of January 2020. Some have raised concerns that the FAANG stocks may be in the midst of a bubble, whereas others argue that their growth is justified by the stellar financial and operational performance they have shown in recent years.

    Regardless of the myriad of accolades, comments, and even controversies surrounding the FAANG stocks, they are nevertheless a data science/mining treasure and the bellwether of the NASDAQ index, if not the entire US technology sector.

    This Kaggle dataset contains over 20 years of daily historical data for the five FAANG constituents, as retrieved from this free stock API. It is a public-domain dataset that gives the data science practitioners (a.k.a., you!) the full flexibility to derive second-order insights and investment heuristics from it.

    Content

    Over 20 years of daily historical data (2000-01-01 to 2020-10-01) for the five FAANG stocks: Facebook, Amazon, Apple, Netflix, and Alphabet/Google. For completeness, both raw and adjusted prices are included, along with historical split events and dividend payouts (check out here for how stock market API providers perform price adjustments).

    Acknowledgements

    Data source: https://www.alphavantage.co/

  8. T

    China Shanghai Composite Stock Market Index Data

    • tradingeconomics.com
    • jp.tradingeconomics.com
    • +13more
    csv, excel, json, xml
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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 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 - Jul 14, 2025
    Area covered
    China
    Description

    China's main stock market index, the SHANGHAI, rose to 3520 points on July 14, 2025, gaining 0.27% from the previous session. Over the past month, the index has climbed 3.86% and is up 18.35% 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.

  9. Papua New Guinea PG: Market Capitalization: Listed Domestic Companies

    • ceicdata.com
    Updated Jul 13, 2020
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    CEICdata.com (2020). Papua New Guinea PG: Market Capitalization: Listed Domestic Companies [Dataset]. https://www.ceicdata.com/en/papua-new-guinea/financial-sector/pg-market-capitalization-listed-domestic-companies
    Explore at:
    Dataset updated
    Jul 13, 2020
    Dataset provided by
    CEIC Data
    License

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

    Time period covered
    Dec 1, 2003 - Dec 1, 2011
    Area covered
    Papua New Guinea
    Description

    Papua New Guinea PG: Market Capitalization: Listed Domestic Companies data was reported at 12.592 USD bn in 2011. This records an increase from the previous number of 11.027 USD bn for 2010. Papua New Guinea PG: Market Capitalization: Listed Domestic Companies data is updated yearly, averaging 11.027 USD bn from Dec 2003 (Median) to 2011, with 9 observations. The data reached an all-time high of 17.514 USD bn in 2009 and a record low of 2.963 USD bn in 2003. Papua New Guinea PG: Market Capitalization: Listed Domestic Companies data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Papua New Guinea – Table PG.World Bank.WDI: Financial Sector. Market capitalization (also known as market value) is the share price times the number of shares outstanding (including their several classes) for listed domestic companies. Investment funds, unit trusts, and companies whose only business goal is to hold shares of other listed companies are excluded. Data are end of year values converted to U.S. dollars using corresponding year-end foreign exchange rates.; ; World Federation of Exchanges database.; Sum; Stock market data were previously sourced from Standard & Poor's until they discontinued their 'Global Stock Markets Factbook' and database in April 2013. Time series have been replaced in December 2015 with data from the World Federation of Exchanges and may differ from the previous S&P definitions and methodology.

  10. Bangladesh BD: Market Capitalization: Listed Domestic Companies

    • ceicdata.com
    Updated Sep 15, 2018
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    CEICdata.com (2018). Bangladesh BD: Market Capitalization: Listed Domestic Companies [Dataset]. https://www.ceicdata.com/en/bangladesh/financial-sector/bd-market-capitalization-listed-domestic-companies
    Explore at:
    Dataset updated
    Sep 15, 2018
    Dataset provided by
    CEIC Data
    License

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

    Time period covered
    Dec 1, 2010 - Dec 1, 2022
    Area covered
    Bangladesh
    Variables measured
    Turnover
    Description

    Bangladesh BD: Market Capitalization: Listed Domestic Companies data was reported at 42.895 USD bn in 2022. This records a decrease from the previous number of 108.741 USD bn for 2021. Bangladesh BD: Market Capitalization: Listed Domestic Companies data is updated yearly, averaging 14.892 USD bn from Dec 1993 (Median) to 2022, with 27 observations. The data reached an all-time high of 108.741 USD bn in 2021 and a record low of 464.100 USD mn in 1993. Bangladesh BD: Market Capitalization: Listed Domestic Companies data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Bangladesh – Table BD.World Bank.WDI: Financial Sector. Market capitalization (also known as market value) is the share price times the number of shares outstanding (including their several classes) for listed domestic companies. Investment funds, unit trusts, and companies whose only business goal is to hold shares of other listed companies are excluded. Data are end of year values converted to U.S. dollars using corresponding year-end foreign exchange rates.;World Federation of Exchanges database.;Sum;Stock market data were previously sourced from Standard & Poor's until they discontinued their 'Global Stock Markets Factbook' and database in April 2013. Time series have been replaced in December 2015 with data from the World Federation of Exchanges and may differ from the previous S&P definitions and methodology.

  11. Dataset Saham Indonesia / Indonesia Stock Dataset

    • kaggle.com
    zip
    Updated Jan 8, 2023
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    Muammar Khadafi (2023). Dataset Saham Indonesia / Indonesia Stock Dataset [Dataset]. https://www.kaggle.com/datasets/muamkh/ihsgstockdata
    Explore at:
    zip(343768044 bytes)Available download formats
    Dataset updated
    Jan 8, 2023
    Authors
    Muammar Khadafi
    License

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

    Area covered
    Indonesia
    Description

    Context

    This dataset contains historical data of stocks listed on IHSG with time ranges per minutes, hourly, and daily. The source of the dataset is taken from Yahoo Finance's public data and the IDX website which is listed in the metadata tab. This dataset was created with the intention of academic research purposes and not to be commercialized. If you have questions about the dataset, please ask in the discussion tab. Code snippet: https://github.com/muamkh/IHSGstockscraper

    Content

    Stock minutes data is taken from 1 November 2021 until 6 January 2023. Stock hourly data is taken from 16 April 2020 until 6 January 2023. Stock daily data is taken from 16 April 2001 until 6 January 2023. All of the data is using CSV format. Stock data isnt adjusted with dividend, stock split, and other corporate action.

    Stocklist Structure

    • Code = Stock code
    • Name = Company name
    • ListingDate = Listing date of stock on Indonesia Stock Exchange
    • Shares = Amount of shares
    • ListingBoard = Board category (Main Board, Development Board or Acceleration). More info: https://www.idx.co.id/en-us/products/stocks/
    • Sector = Sector Category based on IDX-IC. More info: https://www.idx.co.id/en-us/products/stocks/
    • LastPrice = Last stock price
    • MarketCap = Market Capitalization.
    • MinutesFirstAdded = Date the data first retrieved in minute range
    • MinutesLastAdded = Date the data last retrieved in minute range
    • HourlyFirstAdded = Date the data first retrieved in hourly range
    • HourlyLastAdded = Date the data last retrieved in hourly range
    • DailyFirstAdded = Date the data first retrieved in daily range
    • DailyLastAdded = Date the data last retrieved in daily range

    Struktur Data Saham

    • timestamp = Date and time of stock transaction
    • open = opening price
    • low = lowest price in the timespan
    • high = highest price in the timespan
    • close = closing price
    • volume = Total volume traded in the timespan
  12. d

    Standard and Poor's (S&P) 500 Index Data including Dividend, Earnings and...

    • datahub.io
    Updated Feb 1, 2002
    + more versions
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    (2002). Standard and Poor's (S&P) 500 Index Data including Dividend, Earnings and P/E Ratio [Dataset]. https://datahub.io/core/s-and-p-500
    Explore at:
    Dataset updated
    Feb 1, 2002
    License

    ODC Public Domain Dedication and Licence (PDDL) v1.0http://www.opendatacommons.org/licenses/pddl/1.0/
    License information was derived automatically

    Description

    S&P 500 index data including level, dividend, earnings and P/E ratio on a monthly basis since 1870. The S&P 500 (Standard and Poor's 500) is a free-float, capitalization-weighted index of the top ...

  13. T

    United States Net Treasury International Capital Flows

    • tradingeconomics.com
    • zh.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Apr 16, 2025
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    TRADING ECONOMICS (2025). United States Net Treasury International Capital Flows [Dataset]. https://tradingeconomics.com/united-states/capital-flows
    Explore at:
    excel, json, csv, xmlAvailable download formats
    Dataset updated
    Apr 16, 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
    May 31, 1978 - Apr 30, 2025
    Area covered
    United States
    Description

    The United States recorded a capital and financial account deficit of 14200 USD Million in April of 2025. This dataset provides the latest reported value for - United States Net Treasury International Capital Flows - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

  14. Venture Capital Investment Market Analysis North America, Europe, APAC,...

    • technavio.com
    Updated Mar 7, 2025
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    Technavio (2025). Venture Capital Investment Market Analysis North America, Europe, APAC, South America, Middle East and Africa - US, Canada, The Netherlands, UK, India, Italy, Germany, China, France, Japan - Size and Forecast 2025-2029 [Dataset]. https://www.technavio.com/report/venture-capital-investment-market-analysis
    Explore at:
    Dataset updated
    Mar 7, 2025
    Dataset provided by
    TechNavio
    Authors
    Technavio
    Time period covered
    2021 - 2025
    Area covered
    Global, United States
    Description

    Snapshot img

    Venture Capital Investment Market Size 2025-2029

    The venture capital investment market size is forecast to increase by USD 2920.2 billion, at a CAGR of 37.9% between 2024 and 2029.

    The Venture Capital (VC) investment market is experiencing significant growth, particularly in the biotech sector, driven by advancements in technology and innovation. This trend is fueled by an increasing number of high-net-worth individuals (HNWIs) worldwide, who are seeking to diversify their portfolios and invest in promising startups. However, this market faces challenges, including foreign exchange volatility, which can impact the returns on investments made across borders. As HNWIs continue to invest in VC funds, they bring not only capital but also expertise and industry connections, further enhancing the potential for successful ventures.
    Simultaneously, biotech companies, with their innovative solutions, are attracting substantial VC interest, presenting significant opportunities for growth and returns. Navigating foreign exchange risks and identifying promising biotech startups will be crucial for VC firms seeking to capitalize on these trends and outperform their competitors.
    

    What will be the Size of the Venture Capital Investment Market during the forecast period?

    Explore in-depth regional segment analysis with market size data - historical 2019-2023 and forecasts 2025-2029 - in the full report.
    Request Free Sample

    The venture capital (VC) investment market continues to evolve, shaped by dynamic market conditions and diverse sector applications. Dividend yields and capital gains remain key drivers for investors, as they seek to maximize returns. Big data and growth hacking are increasingly integral to investment theses, enabling industry analysis and informed decision-making. Limited partnerships (LPs) and funds collaborate, with GPs overseeing operations and risk management. Deal sourcing and due diligence are essential components of the investment process, ensuring portfolio companies align with the fund's objectives. Revenue growth and marketing strategies are critical for portfolio companies, as they aim to scale and attract investment.

    Term sheets outline investment details, while advisory boards provide strategic guidance. Financial modeling and cash flow management are essential for effective fund management. Technology infrastructure, including AI, cloud computing, and blockchain technology, underpins innovation and growth. Joint ventures and technology licensing offer opportunities for collaboration and expansion. Sales strategy and burn rate analysis help optimize portfolio performance. Private equity and data analytics provide valuable insights for investment opportunities. Stock options and Series A and B funding rounds offer potential for significant returns. Legal agreements and intellectual property (IP) rights are crucial for protecting investments and ensuring long-term success.

    How is this Venture Capital Investment Industry segmented?

    The venture capital investment industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD billion' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments.

    Sector
    
      Software
      Pharmaceutical and biotechnology
      Media and entertainment
      Medical devices and equipments
      Others
    
    
    Type
    
      First-time venture funding
      Follow-on venture funding
    
    
    Variant
    
      Institutional Investors
      Corporate venture capital
      Private equity firms
      Angel investors
      Others
    
    
    Geography
    
      North America
    
        US
        Canada
    
    
      Europe
    
        France
        Germany
        Italy
        The Netherlands
        UK
    
    
      APAC
    
        China
        India
        Japan
    
    
      Rest of World (ROW)
    

    By Sector Insights

    The software segment is estimated to witness significant growth during the forecast period.

    The market has witnessed significant activity in the software industry, with a focus on disruptive technologies such as Artificial Intelligence (AI), Machine Learning (ML), and Blockchain technology. VC firms have invested billions of dollars in these areas, with some companies achieving unicorn status. The software sector includes application software, system infrastructure software, software as a service (SaaS), operating systems, database software, and analytics software. The growing number of entrepreneurs and businesses, estimated to be over 450 million and 300 million, respectively, is fueling the growth of the software segment in the market. VC funds have been actively involved in Series A funding, providing capital for early-stage startups, and Series B funding, for growth-stage companies.

    Limited partnerships (LPs) have been essential in providing capital for these funds. Risk management is a critical factor in venture capital investment, with due diligence, financial modeling, and market analysis being crucial c

  15. T

    China Capital Flows

    • tradingeconomics.com
    • tr.tradingeconomics.com
    • +13more
    csv, excel, json, xml
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    TRADING ECONOMICS, China Capital Flows [Dataset]. https://tradingeconomics.com/china/capital-flows
    Explore at:
    csv, json, xml, excelAvailable download formats
    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
    Mar 31, 1998 - Mar 31, 2025
    Area covered
    China
    Description

    China recorded a capital and financial account deficit of 1656 USD Hundred Million in the first quarter of 2025. This dataset provides - China Capital Flows - actual values, historical data, forecast, chart, statistics, economic calendar and news.

  16. Not seeing a result you expected?
    Learn how you can add new datasets to our index.

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Ahmadul Karim Chowdhury (2025). US Stock Market Data: S&P 500 Index (1901–2025) [Dataset]. https://www.kaggle.com/datasets/ahmadulkc/s-and-p-500-historical-monthly-prices-19012025/code
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US Stock Market Data: S&P 500 Index (1901–2025)

Explore 120+ years of S&P 500 data for trends, forecasting, and research

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CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
Dataset updated
May 13, 2025
Dataset provided by
Kagglehttp://kaggle.com/
Authors
Ahmadul Karim Chowdhury
Description

This dataset contains the monthly historical data of the S&P 500 index from January 1901 to May 2025, collected from Investing.com. The S&P 500 is a stock market index that tracks the performance of 500 large companies listed on stock exchanges in the United States.

It is widely used as a benchmark for the U.S. equity market, representing over 80% of the total market capitalization. This dataset is suitable for:

  • Time-series forecasting
  • Economic event impact analysis (e.g., wars, recessions, pandemics)
  • Financial visualizations in Tableau or Power BI
  • Quantitative finance and portfolio management research

Column Descriptions

ColumnDescription
DateMonthly date in MM-DD-YY format (e.g., 01-01-24 = Jan 2024)
PriceClosing price of the S&P 500 for the month
OpenOpening price of the index for the month
HighHighest price during the month
LowLowest price during the month
Change %Percentage change from previous month’s close

Potential Use Cases:

  • Visualizing market impact of wars, financial crises, and pandemics
  • Analyzing long-term trends in the U.S. equity market
  • Forecasting future index levels using machine learning
  • Annotating economic history alongside market movements

Citation:

Data source: Investing.com

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