100+ datasets found
  1. d

    Economic Calendar API - 350+ Indicators

    • datarade.ai
    .json
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    Financial Modeling Prep, Economic Calendar API - 350+ Indicators [Dataset]. https://datarade.ai/data-products/economic-calendar-api-350-indicators-financial-modeling-prep
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    .jsonAvailable download formats
    Dataset authored and provided by
    Financial Modeling Prep
    Area covered
    Greece, Ireland, Norway, Belgium, Denmark, Brazil, Italy, Canada, Austria, Spain
    Description

    Introducing our comprehensive economic calendar, your ultimate resource for tracking major global economic events and their impact on currency and stock market prices. With a vast array of fields including event name, country, previous and current values, and more, our calendar provides you with essential data to make informed financial decisions. Stay ahead of the curve with our real-time updates, ensuring you have access to the latest information every 15 minutes. With this powerful tool at your fingertips, you can confidently navigate the dynamic world of economic events and seize opportunities for success. Don't miss out on this essential resource for staying informed and making calculated moves in the market.

  2. Weekly development Dow Jones Industrial Average Index 2020-2025

    • statista.com
    • ai-chatbox.pro
    Updated Mar 20, 2023
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    Statista (2023). Weekly development Dow Jones Industrial Average Index 2020-2025 [Dataset]. https://www.statista.com/statistics/1104278/weekly-performance-of-djia-index/
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    Dataset updated
    Mar 20, 2023
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jan 1, 2020 - Mar 2, 2025
    Area covered
    United States
    Description

    The Dow Jones Industrial Average (DJIA) index dropped around ***** points in the four weeks from February 12 to March 11, 2020, but has since recovered and peaked at ********* points as of November 24, 2024. In February 2020 - just prior to the global coronavirus (COVID-19) pandemic, the DJIA index stood at a little over ****** points. U.S. markets suffer as virus spreads The COVID-19 pandemic triggered a turbulent period for stock markets – the S&P 500 and Nasdaq Composite also recorded dramatic drops. At the start of February, some analysts remained optimistic that the outbreak would ease. However, the increased spread of the virus started to hit investor confidence, prompting a record plunge in the stock markets. The Dow dropped by more than ***** points in the week from February 21 to February 28, which was a fall of **** percent – its worst percentage loss in a week since October 2008. Stock markets offer valuable economic insights The Dow Jones Industrial Average is a stock market index that monitors the share prices of the 30 largest companies in the United States. By studying the performance of the listed companies, analysts can gauge the strength of the domestic economy. If investors are confident in a company’s future, they will buy its stocks. The uncertainty of the coronavirus sparked fears of an economic crisis, and many traders decided that investment during the pandemic was too risky.

  3. c

    The global stock market size is USD 3645.2 million in 2024.

    • cognitivemarketresearch.com
    pdf,excel,csv,ppt
    Updated May 15, 2025
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    Cognitive Market Research (2025). The global stock market size is USD 3645.2 million in 2024. [Dataset]. https://www.cognitivemarketresearch.com/stock-market-report
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    pdf,excel,csv,pptAvailable download formats
    Dataset updated
    May 15, 2025
    Dataset authored and provided by
    Cognitive Market Research
    License

    https://www.cognitivemarketresearch.com/privacy-policyhttps://www.cognitivemarketresearch.com/privacy-policy

    Time period covered
    2021 - 2033
    Area covered
    Global
    Description

    According to Cognitive Market Research, the global stock market size will be USD 3645.2 million in 2024. It will expand at a compound annual growth rate (CAGR) of 13% from 2024 to 2031.

    North America held the major market share for more than 40% of the global revenue with a market size of USD 1458.1 million in 2024 and will grow at a compound annual growth rate (CAGR) of 11.2% from 2024 to 2031.
    Europe accounted for a market share of over 30% of the global revenue with a market size of USD 1093.6 million.
    Asia Pacific held a market share of around 23% of the global revenue with a market size of USD 838.4 million in 2024 and will grow at a compound annual growth rate (CAGR) of 15% from 2024 to 2031.
    Latin America had a market share of more than 5% of the global revenue with a market size of USD 182.3 million in 2024 and will grow at a compound annual growth rate (CAGR) of 12.4% from 2024 to 2031.
    Middle East and Africa had a market share of around 2% of the global revenue and was estimated at a market size of USD 72.9 million in 2024 and will grow at a compound annual growth rate (CAGR) of 12.7% from 2024 to 2031.
    The broker end users held the highest stock market revenue share in 2024.
    

    Market Dynamics of Stock Market

    Key Drivers for the Stock Market

    Rising Demand for Real-Time Data and Analytics to be an Emerging Market Trend
    

    The increasing need for real-time data and advanced analytics is a significant driver in the stock trading and investing market growth. Investors and traders require up-to-the-minute information on stock prices, market trends, and financial news to make informed decisions quickly. As financial markets become more dynamic and competitive, the ability to access and analyze real-time data becomes crucial for success. Trading applications that offer real-time updates, advanced charting tools, and detailed analytics provide users with a competitive edge by enabling them to react swiftly to market movements. This heightened demand for real-time insights fuels the development and adoption of sophisticated trading platforms that cater to both professional traders and retail investors seeking to maximize their investment opportunities.

    Increasing Adoption of Mobile Trading Platforms to Boost Market Growth
    

    The rapid adoption of mobile trading platforms is another key driver for the stock market expansion. With the proliferation of smartphones and mobile internet access, investors are increasingly favoring mobile platforms for their trading activities due to their convenience and accessibility. Mobile trading apps offer users the ability to trade, monitor portfolios, and access financial information on the go, which appeals to both active traders and casual investors. This shift towards mobile platforms is supported by innovations in-app functionality, user experience, and security features. As more investors seek flexibility and real-time engagement with their investments, the demand for sophisticated and user-friendly mobile trading applications continues to rise, propelling market growth.

    Restraint Factor for the Stock Market

    Stringent Rules and Regulations to Impede the Adoption of Online Trading Platforms
    

    Regulatory compliance and legal challenges are major restraints for the stock trading and investing market share. The financial industry is heavily regulated, with strict rules governing trading practices, data protection, and financial disclosures. Compliance with these regulations requires substantial investment in legal expertise, technology, and administrative processes. Changes in regulations can also introduce uncertainty and additional compliance costs for application providers. For example, regulations such as the Markets in Financial Instruments Directive II (MiFID II) in Europe and the Dodd-Frank Act in the U.S. impose stringent requirements on trading practices and transparency. Failure to adhere to these regulations can result in legal penalties and damage to a company’s reputation, which can inhibit market growth and innovation in trading applications.

    Market Volatility and Investor Uncertainty
    
    The stock market is highly sensitive to global economic conditions, geopolitical tensions, interest rate fluctuations, and unexpected events (such as pandemics or wars). This inherent volatility can lead to sharp declines in investor confidence and capital outflows, especially among retai...
    
  4. l

    Supplementary information files for Emerging stock market volatility and...

    • repository.lboro.ac.uk
    pdf
    Updated May 30, 2023
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    Menelaos Karanasos; Stavroula Yfanti; John Hunter (2023). Supplementary information files for Emerging stock market volatility and economic fundamentals: the importance of US uncertainty spillovers, financial and health crises [Dataset]. http://doi.org/10.17028/rd.lboro.19739773.v1
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    pdfAvailable download formats
    Dataset updated
    May 30, 2023
    Dataset provided by
    Loughborough University
    Authors
    Menelaos Karanasos; Stavroula Yfanti; John Hunter
    License

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

    Area covered
    United States
    Description

    Supplementary information files for the article Emerging stock market volatility and economic fundamentals: the importance of US uncertainty spillovers, financial and health crises

    Abstract: This paper studies the US and global economic fundamentals that exacerbate emerging stock markets volatility and can be considered as systemic risk factors increasing financial stability vulnerabilities. We apply the bivariate HEAVY system of daily and intra-daily volatility equations enriched with powers, leverage, and macro-effects that improve its forecasting accuracy significantly. Our macro-augmented asymmetric power HEAVY model estimates the inflammatory effect of US uncertainty and infectious disease news impact on equities alongside global credit and commodity factors on emerging stock index realized volatility. Our study further demonstrates the power of the economic uncertainty channel, showing that higher US policy uncertainty levels increase the leverage effects and the impact from the common macro-financial proxies on emerging markets’ financial volatility. Lastly, we provide evidence on the crucial role of both financial and health crisis events (the 2008 global financial turmoil and the recent Covid-19 pandemic) in raising markets’ turbulence and amplifying the volatility macro-drivers impact, as well.

  5. T

    Russia Stock Market Index MOEX CFD Data

    • tradingeconomics.com
    • ko.tradingeconomics.com
    • +12more
    csv, excel, json, xml
    Updated Jul 12, 2025
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    TRADING ECONOMICS (2025). Russia Stock Market Index MOEX CFD Data [Dataset]. https://tradingeconomics.com/russia/stock-market
    Explore at:
    json, csv, excel, xmlAvailable download formats
    Dataset updated
    Jul 12, 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
    Sep 22, 1997 - Jul 11, 2025
    Area covered
    Russia
    Description

    Russia's main stock market index, the MOEX, fell to 2643 points on July 11, 2025, losing 3.27% from the previous session. Over the past month, the index has declined 3.89% and is down 11.17% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks this benchmark index from Russia. Russia Stock Market Index MOEX CFD - values, historical data, forecasts and news - updated on July of 2025.

  6. U

    Inflation Data

    • dataverse-staging.rdmc.unc.edu
    • dataverse.unc.edu
    Updated Oct 9, 2022
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    Linda Wang; Linda Wang (2022). Inflation Data [Dataset]. http://doi.org/10.15139/S3/QA4MPU
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    Dataset updated
    Oct 9, 2022
    Dataset provided by
    UNC Dataverse
    Authors
    Linda Wang; Linda Wang
    License

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

    Description

    This is not going to be an article or Op-Ed about Michael Jordan. Since 2009 we've been in the longest bull-market in history, that's 11 years and counting. However a few metrics like the stock market P/E, the call to put ratio and of course the Shiller P/E suggest a great crash is coming in-between the levels of 1929 and the dot.com bubble. Mean reversion historically is inevitable and the Fed's printing money experiment could end in disaster for the stock market in late 2021 or 2022. You can read Jeremy Grantham's Last Dance article here. You are likely well aware of Michael Burry's predicament as well. It's easier for you just to skim through two related videos on this topic of a stock market crash. Michael Burry's Warning see this YouTube. Jeremy Grantham's Warning See this YouTube. Typically when there is a major event in the world, there is a crash and then a bear market and a recovery that takes many many months. In March, 2020 that's not what we saw since the Fed did some astonishing things that means a liquidity sloth and the risk of a major inflation event. The pandemic represented the quickest decline of at least 30% in the history of the benchmark S&P 500, but the recovery was not correlated to anything but Fed intervention. Since the pandemic clearly isn't disappearing and many sectors such as travel, business travel, tourism and supply chain disruptions appear significantly disrupted - the so-called economic recovery isn't so great. And there's this little problem at the heart of global capitalism today, the stock market just keeps going up. Crashes and corrections typically occur frequently in a normal market. But the Fed liquidity and irresponsible printing of money is creating a scenario where normal behavior isn't occurring on the markets. According to data provided by market analytics firm Yardeni Research, the benchmark index has undergone 38 declines of at least 10% since the beginning of 1950. Since March, 2020 we've barely seen a down month. September, 2020 was flat-ish. The S&P 500 has more than doubled since those lows. Look at the angle of the curve: The S&P 500 was 735 at the low in 2009, so in this bull market alone it has gone up 6x in valuation. That's not a normal cycle and it could mean we are due for an epic correction. I have to agree with the analysts who claim that the long, long bull market since 2009 has finally matured into a fully-fledged epic bubble. There is a complacency, buy-the dip frenzy and general meme environment to what BigTech can do in such an environment. The weight of Apple, Amazon, Alphabet, Microsoft, Facebook, Nvidia and Tesla together in the S&P and Nasdaq is approach a ridiculous weighting. When these stocks are seen both as growth, value and companies with unbeatable moats the entire dynamics of the stock market begin to break down. Check out FANG during the pandemic. BigTech is Seen as Bullet-Proof me valuations and a hysterical speculative behavior leads to even higher highs, even as 2020 offered many younger people an on-ramp into investing for the first time. Some analysts at JP Morgan are even saying that until retail investors stop charging into stocks, markets probably don’t have too much to worry about. Hedge funds with payment for order flows can predict exactly how these retail investors are behaving and monetize them. PFOF might even have to be banned by the SEC. The risk-on market theoretically just keeps going up until the Fed raises interest rates, which could be in 2023! For some context, we're more than 1.4 years removed from the bear-market bottom of the coronavirus crash and haven't had even a 5% correction in nine months. This is the most over-priced the market has likely ever been. At the night of the dot-com bubble the S&P 500 was only 1,400. Today it is 4,500, not so many years after. Clearly something is not quite right if you look at history and the P/E ratios. A market pumped with liquidity produces higher earnings with historically low interest rates, it's an environment where dangerous things can occur. In late 1997, as the S&P 500 passed its previous 1929 peak of 21x earnings, that seemed like a lot, but nothing compared to today. For some context, the S&P 500 Shiller P/E closed last week at 38.58, which is nearly a two-decade high. It's also well over double the average Shiller P/E of 16.84, dating back 151 years. So the stock market is likely around 2x over-valued. Try to think rationally about what this means for valuations today and your favorite stock prices, what should they be in historical terms? The S&P 500 is up 31% in the past year. It will likely hit 5,000 before a correction given the amount of added liquidity to the system and the QE the Fed is using that's like a huge abuse of MMT, or Modern Monetary Theory. This has also lent to bubbles in the housing market, crypto and even commodities like Gold with long-term global GDP meeting many headwinds in the years ahead due to a...

  7. T

    Hong Kong Stock Market Index (HK50) Data

    • tradingeconomics.com
    • jp.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Jun 15, 2025
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    TRADING ECONOMICS (2025). Hong Kong Stock Market Index (HK50) Data [Dataset]. https://tradingeconomics.com/hong-kong/stock-market
    Explore at:
    excel, csv, xml, jsonAvailable download formats
    Dataset updated
    Jun 15, 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
    Jul 31, 1964 - Jul 11, 2025
    Area covered
    Hong Kong
    Description

    Hong Kong's main stock market index, the HK50, rose to 24140 points on July 11, 2025, gaining 0.46% from the previous session. Over the past month, the index has climbed 0.43% and is up 31.96% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks this benchmark index from Hong Kong. Hong Kong Stock Market Index (HK50) - values, historical data, forecasts and news - updated on July of 2025.

  8. Stock Tanks Market Report | Global Forecast From 2025 To 2033

    • dataintelo.com
    csv, pdf, pptx
    Updated Dec 3, 2024
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    Dataintelo (2024). Stock Tanks Market Report | Global Forecast From 2025 To 2033 [Dataset]. https://dataintelo.com/report/global-stock-tanks-market
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    pdf, csv, pptxAvailable download formats
    Dataset updated
    Dec 3, 2024
    Dataset authored and provided by
    Dataintelo
    License

    https://dataintelo.com/privacy-and-policyhttps://dataintelo.com/privacy-and-policy

    Time period covered
    2024 - 2032
    Area covered
    Global
    Description

    Stock Tanks Market Outlook



    The global stock tanks market size was valued at approximately $2.5 billion in 2023 and is projected to reach $3.8 billion by 2032, growing at a compound annual growth rate (CAGR) of 4.8% during the forecast period. This steady growth can be attributed to several factors, including the increasing demand for efficient water storage solutions across various sectors such as agriculture, aquaculture, and residential. The versatility and durability of stock tanks make them a preferred choice for water storage, feeding, and other applications, fueling their market expansion globally.



    One of the major growth factors driving the stock tanks market is the expanding agricultural sector worldwide. As agriculture continues to be a critical component of the global economy, the need for reliable and durable water storage solutions has risen significantly. Stock tanks, known for their robustness and ease of maintenance, are increasingly being adopted by farmers for irrigation and livestock watering. The shift towards sustainable farming practices has further propelled the demand for stock tanks, as they aid in efficient water management, thereby enhancing agricultural productivity. Moreover, government initiatives promoting agriculture and rural development are expected to bolster the market growth in the coming years.



    Furthermore, the rising aquaculture industry is contributing substantially to the growth of the stock tanks market. Aquaculture, which involves the breeding, rearing, and harvesting of aquatic organisms in controlled environments, requires reliable water containment systems. Stock tanks serve as an ideal solution for this purpose, offering a cost-effective and durable option for aquaculture operations. As the demand for seafood and other aquatic products continues to grow, the need for efficient aquaculture systems, including stock tanks, is anticipated to escalate, positively impacting market growth. The trend towards sustainable and organic aquaculture practices is also expected to drive the adoption of stock tanks in this sector.



    The industrial and residential sectors are also witnessing an increased adoption of stock tanks, further driving market growth. In industrial applications, stock tanks are used for storing a variety of liquids, chemicals, and other materials. Their versatility and resistance to corrosion make them suitable for numerous industrial applications. In residential settings, stock tanks are increasingly being utilized as innovative and aesthetic water features, planters, and even makeshift swimming pools. The growing trend of DIY home improvement projects has led to a surge in the demand for stock tanks, as homeowners seek affordable and creative solutions for enhancing their living spaces.



    Regionally, North America dominates the stock tanks market, driven by the extensive agricultural activities and well-established aquaculture industry in the region. The presence of key manufacturers and suppliers also contributes to market growth in this region. The Asia Pacific region is anticipated to witness the highest growth rate during the forecast period, owing to the rapidly developing agricultural and aquaculture sectors in countries like China and India. Additionally, the increasing focus on sustainable farming practices in this region is likely to drive the demand for stock tanks, further boosting market growth.



    Product Type Analysis



    In the stock tanks market, product type plays a crucial role in determining the suitability and application of the tanks in various sectors. Metal stock tanks, for instance, are known for their strength and durability, making them a preferred choice in heavy-duty applications. These tanks are predominantly used in agricultural settings for livestock watering and irrigation due to their ability to withstand harsh environmental conditions. The metal stock tanks segment is expected to maintain a significant market share, driven by their robust construction and long lifespan. However, they do require regular maintenance to prevent rust and corrosion, which might limit their usage in certain environments.



    Plastic stock tanks have gained considerable traction in recent years, primarily due to their lightweight nature and resistance to rust and corrosion. These tanks are often favored in residential and aquaculture applications where mobility and ease of installation are important. The plastic stock tanks segment is projected to experience robust growth, bolstered by innovations in plastic manufacturing technologies that enhance the strength and durability of these tanks. Their affordability com

  9. T

    BSE SENSEX Stock Market Index Data

    • tradingeconomics.com
    • id.tradingeconomics.com
    • +13more
    csv, excel, json, xml
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    TRADING ECONOMICS, BSE SENSEX Stock Market Index Data [Dataset]. https://tradingeconomics.com/india/stock-market
    Explore at:
    excel, json, xml, csvAvailable 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
    Apr 3, 1979 - Jul 11, 2025
    Area covered
    India
    Description

    India's main stock market index, the SENSEX, fell to 82500 points on July 11, 2025, losing 0.83% from the previous session. Over the past month, the index has climbed 0.99% and is up 2.46% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks this benchmark index from India. BSE SENSEX Stock Market Index - values, historical data, forecasts and news - updated on July of 2025.

  10. Dow Jones: annual change in closing prices 1915-2021

    • statista.com
    Updated Aug 9, 2024
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    Statista (2024). Dow Jones: annual change in closing prices 1915-2021 [Dataset]. https://www.statista.com/statistics/1317023/dow-jones-annual-change-historical/
    Explore at:
    Dataset updated
    Aug 9, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    The Dow Jones Industrial Average (DJIA) is a stock market index used to analyze trends in the stock market. While many economists prefer to use other, market-weighted indices (the DJIA is price-weighted) as they are perceived to be more representative of the overall market, the Dow Jones remains one of the most commonly-used indices today, and its longevity allows for historical events and long-term trends to be analyzed over extended periods of time. Average changes in yearly closing prices, for example, shows how markets developed year on year. Figures were more sporadic in early years, but the impact of major events can be observed throughout. For example, the occasions where a decrease of more than 25 percent was observed each coincided with a major recession; these include the Post-WWI Recession in 1920, the Great Depression in 1929, the Recession of 1937-38, the 1973-75 Recession, and the Great Recession in 2008.

  11. US Stocks Dataset

    • kaggle.com
    Updated Oct 5, 2024
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    M Atif Latif (2024). US Stocks Dataset [Dataset]. https://www.kaggle.com/datasets/matiflatif/us-stocks-datasetby-atif/discussion
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Oct 5, 2024
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    M Atif Latif
    License

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

    Description

    US Stock Market Data (21st November 2023 – 2nd February 2024)

    Overview

    This dataset provides detailed historical data on the US stock market, covering the period from 21st November 2023 to 2nd February 2024. It includes daily performance metrics for major stocks and indices, enabling investors, analysts, and researchers to study short-term market trends, fluctuations, and patterns.

    Dataset Contents

    The dataset contains the following key attributes for each trading day:

    Date: The trading date.

    Ticker: Stock ticker symbol (e.g., AAPL for Apple, MSFT for Microsoft).

    Open Price: The price at which the stock opened for trading.

    Close Price: The price at which the stock closed for trading . High Price: The highest price reached during the trading session.

    Low Price: The lowest price reached during the trading session.

    Adjusted Close Price: The closing price adjusted for splits and dividend payouts.

    Trading Volume: The total number of shares traded on that day.

    Highlights

    Time Period: Covers daily data for over two months of trading activity.

    Market Scope: Includes data from a diverse set of stocks, industries, and sectors, reflecting the broader US market trends.

    Indices and Major Stocks: Tracks key indices (e.g., S&P 500, NASDAQ) and major stocks across various sectors .

    Potential Applications

    Analyzing short-term market performance trends. Developing trading strategies or backtesting investment models. Exploring the impact of macroeconomic events on stock performance. Studying sector-wise performance in the US stock market.

    Data Source

    The data has been sourced from publicly available market records, ensuring reliability and accuracy. Each data point represents an official trading record from the respective exchange.

    Usage Notes

    The dataset is intended for educational, analytical, and research purposes only. Users should be mindful of potential market anomalies or external factors influencing data during this time frame.

    Acknowledgments

    Special thanks to the organizations and platforms that make financial market data accessible for analysis and research.

  12. F

    Labor Compensation: Earnings: All Activities: Weekly for United Kingdom

    • fred.stlouisfed.org
    json
    Updated Jan 12, 2024
    + more versions
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    (2024). Labor Compensation: Earnings: All Activities: Weekly for United Kingdom [Dataset]. https://fred.stlouisfed.org/series/LCEATT02GBQ661S
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    jsonAvailable download formats
    Dataset updated
    Jan 12, 2024
    License

    https://fred.stlouisfed.org/legal/#copyright-citation-requiredhttps://fred.stlouisfed.org/legal/#copyright-citation-required

    Area covered
    United Kingdom
    Description

    Graph and download economic data for Labor Compensation: Earnings: All Activities: Weekly for United Kingdom (LCEATT02GBQ661S) from Q1 2000 to Q3 2023 about compensation, United Kingdom, and earnings.

  13. g

    Why Are Stock Market Returns Correlated with Future Economic Activity? -...

    • search.gesis.org
    Updated Feb 16, 2021
    + more versions
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    Guo, Hui (2021). Why Are Stock Market Returns Correlated with Future Economic Activity? - Version 1 [Dataset]. http://doi.org/10.3886/ICPSR01261.v1
    Explore at:
    Dataset updated
    Feb 16, 2021
    Dataset provided by
    ICPSR - Interuniversity Consortium for Political and Social Research
    GESIS search
    Authors
    Guo, Hui
    License

    https://search.gesis.org/research_data/datasearch-httpwww-da-ra-deoaip--oaioai-da-ra-de433901https://search.gesis.org/research_data/datasearch-httpwww-da-ra-deoaip--oaioai-da-ra-de433901

    Description

    Abstract (en): Stock price, because it is a forward-looking variable, forecasts economic activities. An unexpected increase in stock price reflects that (1) future dividend growth is higher and/or (2) future discount rates are lower than previously anticipated. Therefore, the increase predicts higher output and investment. As well, other studies argue for an important relation between the expected stock market return and investment. In this paper, the author analyses the relative importance of these mechanisms by using Campbell and Shiller's (1988) method to decompose stock market return into three parts: expected return, a shock to the expected future return, and a shock to the expected future dividend growth. Contrary to the conventional wisdom, the author finds that dividend shocks are a rather weak predictor for future economic activities. Moreover, the expected return and shocks to the expected future return display different predictive patterns. The results shown here, collectively, explain why the forecasting power of stock market return is rather limited. The files submitted are a data file, 0203hgd.xls, and a program file, 0203hgp.tsp. These data are part of ICPSR's Publication-Related Archive and are distributed exactly as they arrived from the data depositor. ICPSR has not checked or processed this material. Users should consult the investigator(s) if further information is desired.

  14. India Equity Market Index

    • ceicdata.com
    • dr.ceicdata.com
    Updated Mar 26, 2025
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    CEICdata.com (2025). India Equity Market Index [Dataset]. https://www.ceicdata.com/en/indicator/india/equity-market-index
    Explore at:
    Dataset updated
    Mar 26, 2025
    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
    Mar 1, 2024 - Feb 1, 2025
    Area covered
    India
    Variables measured
    Securities Exchange Index
    Description

    Key information about India Sensitive 30 (Sensex)

    • India Sensitive 30 (Sensex) closed at 73,198.1 points in Feb 2025, compared with 77,500.6 points at the previous month end
    • India Equity Market Index: Month End: BSE: Sensitive 30 (Sensex) data is updated monthly, available from Apr 1979 to Feb 2025, with an average number of 4,285.0 points
    • The data reached an all-time high of 84,299.8 points in Sep 2024 and a record low of 115.6 points in Nov 1979

    [COVID-19-IMPACT]


    Further information about India Sensitive 30 (Sensex)

    • In the latest reports, SENSEX recorded a daily P/E ratio of 20.6 in Mar 2025

  15. Effect of coronavirus on major global stock indices 2020-2021

    • statista.com
    Updated Dec 11, 2023
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    Statista (2023). Effect of coronavirus on major global stock indices 2020-2021 [Dataset]. https://www.statista.com/statistics/1251618/effect-coronavirus-major-global-stock-indices/
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    Dataset updated
    Dec 11, 2023
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jan 5, 2020 - Nov 14, 2021
    Area covered
    Worldwide
    Description

    While the global coronavirus (COVID-19) pandemic caused all major stock market indices to fall sharply in March 2020, both the extent of the decline at this time, and the shape of the subsequent recovery, have varied greatly. For example, on March 15, 2020, major European markets and traditional stocks in the United States had shed around 40 percent of their value compared to January 5, 2020. However, Asian markets and the NASDAQ Composite Index only shed around 20 to 25 percent of their value. A similar story can be seen with the post-coronavirus recovery. As of November 14, 2021 the NASDAQ composite index value was around 65 percent higher than in January 2020, while most other markets were only between 20 and 40 percent higher.

    Why did the NASDAQ recover the quickest?

    Based in New York City, the NASDAQ is famously considered a proxy for the technology industry as many of the world’s largest technology industries choose to list there. And it just so happens that technology was the sector to perform the best during the coronavirus pandemic. Accordingly, many of the largest companies who benefitted the most from the pandemic such as Amazon, PayPal and Netflix, are listed on the NADSAQ, helping it to recover the fastest of the major stock exchanges worldwide.

    Which markets suffered the most?

    The energy sector was the worst hit by the global COVID-19 pandemic. In particular, oil companies share prices suffered large declines over 2020 as demand for oil plummeted while workers found themselves no longer needing to commute, and the tourism industry ground to a halt. In addition, overall share prices in two major stock exchanges – the London Stock Exchange (as represented by the FTSE 100 index) and Hong Kong (as represented by the Hang Seng index) – have notably recovered slower than other major exchanges. However, in both these, the underlying issue behind the slower recovery likely has more to do with political events unrelated to the coronavirus than it does with the pandemic – namely Brexit and general political unrest, respectively.

  16. News Events Data in Europe ( Techsalerator)

    • datarade.ai
    Updated Jun 20, 2024
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    Techsalerator (2024). News Events Data in Europe ( Techsalerator) [Dataset]. https://datarade.ai/data-products/news-events-data-in-europe-techsalerator-techsalerator
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    .json, .csv, .xls, .txtAvailable download formats
    Dataset updated
    Jun 20, 2024
    Dataset provided by
    Techsalerator LLC
    Authors
    Techsalerator
    Area covered
    Europe, Macedonia (the former Yugoslav Republic of), Malta, Bulgaria, Andorra, Kosovo, Netherlands, Jersey, Belarus, Czech Republic, Latvia
    Description

    Techsalerator’s News Event Data in Europe is a comprehensive and meticulously curated dataset designed to provide businesses, analysts, journalists, and researchers with an extensive view of significant news events across Europe. This dataset captures and categorizes key events reported from a variety of news sources, offering valuable insights into industry developments, economic changes, political shifts, and other noteworthy occurrences throughout the continent.

    Key Features of the Dataset: Extensive Coverage:

    The dataset aggregates news events from a wide range of sources including press releases, industry news sites, blogs, PR platforms, and traditional news outlets. This broad coverage ensures that users receive a diverse array of information from multiple reporting channels. Categorization of Events:

    News events are meticulously categorized into various types such as business and financial updates, political developments, technological advancements, legal and regulatory changes, and cultural events. This categorization helps users quickly locate and analyze information relevant to specific interests or sectors. Real-Time Updates:

    Data is updated regularly to include the most current events. This ensures that users have access to the latest information and can stay informed about recent developments as they unfold. Geographic Segmentation:

    Events are tagged with their respective countries and regions within Europe. This geographic segmentation allows users to filter and analyze news events based on specific locations, facilitating targeted research and analysis. Event Details:

    Each event entry includes detailed information such as the date of occurrence, source of the news, event description, and relevant keywords. This comprehensive detail aids in understanding the context and significance of each event. Historical Data:

    The dataset includes historical news event data, enabling users to track trends and analyze changes over time. This feature supports longitudinal studies and comparative analysis of historical and recent events. Advanced Search and Filter Options:

    Users can search and filter news events based on various criteria such as date range, event type, location, and keywords. This functionality allows for precise and efficient retrieval of relevant information. European Countries Covered: Austria Belgium Bulgaria Croatia Cyprus Czech Republic Denmark Estonia Finland France Germany Greece Hungary Ireland Italy Latvia Lithuania Luxembourg Malta Netherlands Poland Portugal Romania Slovakia Slovenia Spain Sweden Benefits of the Dataset: Informed Decision-Making: Businesses and analysts can leverage the dataset to stay updated on key developments that may impact their operations, market conditions, or strategic decisions. Market and Industry Analysis: The dataset provides valuable insights into industry trends, economic changes, and political events, helping users analyze market dynamics and make informed decisions. Media and PR Monitoring: Journalists and PR professionals can track relevant news and events across Europe, allowing them to monitor media coverage, identify emerging stories, and manage public relations efforts effectively. Academic and Research Purposes: Researchers can use the dataset for longitudinal studies, trend analysis, and academic research on various topics related to European news and events. Techsalerator’s News Event Data in Europe is a vital resource for accessing and analyzing significant news events across the continent. By offering detailed, categorized, and up-to-date information, it supports effective decision-making, research, and media monitoring across diverse sectors.

  17. Stock Trading Training Market Report | Global Forecast From 2025 To 2033

    • dataintelo.com
    csv, pdf, pptx
    Updated Sep 23, 2024
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    Dataintelo (2024). Stock Trading Training Market Report | Global Forecast From 2025 To 2033 [Dataset]. https://dataintelo.com/report/global-stock-trading-training-market
    Explore at:
    pdf, csv, pptxAvailable download formats
    Dataset updated
    Sep 23, 2024
    Dataset authored and provided by
    Dataintelo
    License

    https://dataintelo.com/privacy-and-policyhttps://dataintelo.com/privacy-and-policy

    Time period covered
    2024 - 2032
    Area covered
    Global
    Description

    Stock Trading Training Market Outlook



    The global stock trading training market size was valued at USD 2.5 billion in 2023 and is projected to reach USD 5.8 billion by 2032, growing at a compound annual growth rate (CAGR) of 10.2% during the forecast period. This robust growth can be attributed to increasing awareness about financial literacy and the rising demand for stock market participation among individuals and institutions. The surge in online trading platforms and the popularity of digital learning solutions are significant factors driving the expansion of this market.



    One of the key growth factors for the stock trading training market is the technological advancement in online education platforms. The proliferation of high-speed internet and the rise of mobile learning apps have made it easier for individuals to access stock trading courses and training modules from any location. This convenience has led to a significant increase in the number of retail investors, particularly millennials, who are eager to learn about stock trading and investment strategies. Additionally, the availability of sophisticated tools and resources that simulate real trading environments provides learners with practical experience, further boosting the market.



    Another major driver of market growth is the global increase in disposable income and the subsequent rise in investment activities. As more people attain financial stability, they seek ways to grow their wealth, leading to increased interest in stock trading. Financial institutions and brokerage firms are also recognizing the importance of investor education and are investing heavily in developing comprehensive training programs to attract and retain clients. These institutions often collaborate with educational providers to offer tailored courses that enhance the trading skills of their clients, thus propelling the market forward.



    The growing complexity of financial markets and the introduction of new financial instruments have also fueled the demand for specialized stock trading training. With the advent of algorithmic trading, derivatives, cryptocurrencies, and other advanced trading mechanisms, both novice and seasoned traders require updated knowledge and skills to navigate these intricate markets effectively. Certification programs that provide in-depth understanding and hands-on training on these topics have become particularly popular, catering to the needs of advanced traders and institutional investors.



    Regional factors also play a crucial role in the market's expansion. North America, with its well-established financial markets and high internet penetration, leads the global stock trading training market. The region’s focus on financial literacy and the presence of numerous financial education institutions contribute significantly to market growth. Similarly, the Asia Pacific region is witnessing exponential growth due to the rising middle-class population, increasing disposable income, and the growing popularity of stock market investments. Countries like China and India are emerging as key markets, driven by government initiatives to promote financial literacy and the rapid adoption of digital learning tools.



    Training Type Analysis



    The stock trading training market encompasses various training types, each catering to different learning preferences and needs. Online courses form a significant segment, driven by their flexibility and accessibility. These courses range from basic to advanced levels, offering comprehensive content through videos, webinars, and interactive modules. The convenience of learning at one's own pace and the ability to revisit course material makes online courses highly popular among individual investors and working professionals. Many reputable financial institutions and educational platforms offer online courses, often accompanied by certifications that add value to the learners' profiles.



    In-person workshops are another crucial segment, providing hands-on experience and direct interaction with expert traders and financial advisors. These workshops are particularly beneficial for those who prefer face-to-face learning and networking opportunities. They often include live trading sessions, practical exercises, and real-time market analysis, giving participants a deeper understanding of trading strategies and market dynamics. In-person workshops are commonly organized by financial institutions, trading academies, and brokerage firms, attracting both novice and seasoned traders looking to refine their skills.



    Webinars have gained imm

  18. T

    Japan Stock Market Index (JP225) Data

    • tradingeconomics.com
    • ko.tradingeconomics.com
    • +12more
    csv, excel, json, xml
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    TRADING ECONOMICS, Japan Stock Market Index (JP225) Data [Dataset]. https://tradingeconomics.com/japan/stock-market
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    excel, csv, xml, 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
    Jan 5, 1965 - Jul 11, 2025
    Area covered
    Japan
    Description

    Japan's main stock market index, the JP225, fell to 39570 points on July 11, 2025, losing 0.19% from the previous session. Over the past month, the index has climbed 3.66%, though it remains 3.94% lower than a year ago, according to trading on a contract for difference (CFD) that tracks this benchmark index from Japan. Japan Stock Market Index (JP225) - values, historical data, forecasts and news - updated on July of 2025.

  19. US Stock Market and Commodities Data (2020-2024)

    • kaggle.com
    Updated Sep 1, 2024
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    Muhammad Ehsan (2024). US Stock Market and Commodities Data (2020-2024) [Dataset]. https://www.kaggle.com/datasets/muhammadehsan02/us-stock-market-and-commodities-data-2020-2024/code
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Sep 1, 2024
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Muhammad Ehsan
    License

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

    Description

    The US_Stock_Data.csv dataset offers a comprehensive view of the US stock market and related financial instruments, spanning from January 2, 2020, to February 2, 2024. This dataset includes 39 columns, covering a broad spectrum of financial data points such as prices and volumes of major stocks, indices, commodities, and cryptocurrencies. The data is presented in a structured CSV file format, making it easily accessible and usable for various financial analyses, market research, and predictive modeling. This dataset is ideal for anyone looking to gain insights into the trends and movements within the US financial markets during this period, including the impact of major global events.

    Key Features and Data Structure

    The dataset captures daily financial data across multiple assets, providing a well-rounded perspective of market dynamics. Key features include:

    • Commodities: Prices and trading volumes for natural gas, crude oil, copper, platinum, silver, and gold.
    • Cryptocurrencies: Prices and volumes for Bitcoin and Ethereum, including detailed 5-minute interval data for Bitcoin.
    • Stock Market Indices: Data for major indices such as the S&P 500 and Nasdaq 100.
    • Individual Stocks: Prices and volumes for major companies including Apple, Tesla, Microsoft, Google, Nvidia, Berkshire Hathaway, Netflix, Amazon, and Meta.

    The dataset’s structure is designed for straightforward integration into various analytical tools and platforms. Each column is dedicated to a specific asset's daily price or volume, enabling users to perform a wide range of analyses, from simple trend observations to complex predictive models. The inclusion of intraday data for Bitcoin provides a detailed view of market movements.

    Applications and Usability

    This dataset is highly versatile and can be utilized for various financial research purposes:

    • Market Analysis: Track the performance of key assets, compare volatility, and study correlations between different financial instruments.
    • Risk Assessment: Analyze the impact of commodity price movements on related stock prices and evaluate market risks.
    • Educational Use: Serve as a resource for teaching market trends, asset correlation, and the effects of global events on financial markets.

    The dataset’s daily updates ensure that users have access to the most current data, which is crucial for real-time analysis and decision-making. Whether for academic research, market analysis, or financial modeling, the US_Stock_Data.csv dataset provides a valuable foundation for exploring the complexities of financial markets over the specified period.

    Acknowledgements:

    This dataset would not be possible without the contributions of Dhaval Patel, who initially curated the US stock market data spanning from 2020 to 2024. Full credit goes to Dhaval Patel for creating and maintaining the dataset. You can find the original dataset here: US Stock Market 2020 to 2024.

  20. F

    Labor Compensation: Earnings: All Activities: Weekly for United Kingdom

    • fred.stlouisfed.org
    json
    Updated Jan 12, 2024
    + more versions
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    (2024). Labor Compensation: Earnings: All Activities: Weekly for United Kingdom [Dataset]. https://fred.stlouisfed.org/series/LCEATT02GBM661S
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Jan 12, 2024
    License

    https://fred.stlouisfed.org/legal/#copyright-citation-requiredhttps://fred.stlouisfed.org/legal/#copyright-citation-required

    Area covered
    United Kingdom
    Description

    Graph and download economic data for Labor Compensation: Earnings: All Activities: Weekly for United Kingdom (LCEATT02GBM661S) from Jan 2000 to Oct 2023 about compensation, United Kingdom, and earnings.

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Financial Modeling Prep, Economic Calendar API - 350+ Indicators [Dataset]. https://datarade.ai/data-products/economic-calendar-api-350-indicators-financial-modeling-prep

Economic Calendar API - 350+ Indicators

Explore at:
.jsonAvailable download formats
Dataset authored and provided by
Financial Modeling Prep
Area covered
Greece, Ireland, Norway, Belgium, Denmark, Brazil, Italy, Canada, Austria, Spain
Description

Introducing our comprehensive economic calendar, your ultimate resource for tracking major global economic events and their impact on currency and stock market prices. With a vast array of fields including event name, country, previous and current values, and more, our calendar provides you with essential data to make informed financial decisions. Stay ahead of the curve with our real-time updates, ensuring you have access to the latest information every 15 minutes. With this powerful tool at your fingertips, you can confidently navigate the dynamic world of economic events and seize opportunities for success. Don't miss out on this essential resource for staying informed and making calculated moves in the market.

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