50 datasets found
  1. Largest point gains of the Dow Jones Average 2025

    • statista.com
    Updated Jul 11, 2025
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    Statista (2025). Largest point gains of the Dow Jones Average 2025 [Dataset]. https://www.statista.com/statistics/274196/largest-single-day-gains-of-the-dow-jones-index/
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    Dataset updated
    Jul 11, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    April 9, 2025, saw the largest one-day gain in the history of the Dow Jones Industrial Average (DJIA), follwing Trump's announcement of 90-day delay in the introduction of tariffs imposed on imports from all countries. The second-largest one-day gain occurred on March 24, 2020, with the index increasing ******** points. This occurred approximately two weeks after the largest one-day point loss occurred on March 9, 2020, which was triggered by the growing panic about the coronavirus outbreak worldwide. Index fluctuations The DJIA is an index of ** large companies traded on the New York Stock Exchange. It is one of the numbers that financial analysts watch closely, using it as a bellwether for the United States economy. Seeing when these large gains occur, as well as the largest one-day point losses, gives insight to why these fluctuations may occur. The gains in 2009 are likely adjustments after major losses during the Financial Crisis, but those in 2018 are probably signs of high market volatility. Other leading financial indicators While the DJIA is closely watched, it only gives insight on the performance of thirty leading U.S. companies. An index like the S&P 500, tracking *** companies, can give a more comprehensive overview of the United States economy. Even so, this only reflects investment. Other parts of the economy, such as consumer spending or unemployment rate are not well reflected in stock market indices.

  2. Largest point losses of the Dow Jones Average 2025

    • statista.com
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    Statista, Largest point losses of the Dow Jones Average 2025 [Dataset]. https://www.statista.com/statistics/274327/largest-single-day-losses-of-the-dow-jones-index/
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    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    Following the announcement of sweeping tariffs on all countries by Donald Trump, ************* became the day with the third-highest point losses for the Dow Jones Industrial Average in history. Worse than the loss experienced on that day were only the losses that occurred following the beginning of the COVID-19 pandemic. The Dow Jones Industrial Average posted significant points losses due to the global impact of the coronavirus pandemic in 2020. With stocks falling sharply, the Dow recorded its worst single-day points drop ever, plunging ***** points – nearly ** percent – on **************.

  3. F

    S&P 500

    • fred.stlouisfed.org
    json
    Updated Dec 1, 2025
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    (2025). S&P 500 [Dataset]. https://fred.stlouisfed.org/series/SP500
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Dec 1, 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.

  4. Monthly development Dow Jones Industrial Average Index 2018-2025

    • statista.com
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    Statista, Monthly development Dow Jones Industrial Average Index 2018-2025 [Dataset]. https://www.statista.com/statistics/261690/monthly-performance-of-djia-index/
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    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jan 2018 - Jun 2025
    Area covered
    United States
    Description

    The value of the DJIA index amounted to ****** at the end of June 2025, up from ********* at the end of March 2020. Global panic about the coronavirus epidemic caused the drop in March 2020, which was the worst drop since the collapse of Lehman Brothers in 2008. Dow Jones Industrial Average index – additional information The Dow Jones Industrial Average index is a price-weighted average of 30 of the largest American publicly traded companies on New York Stock Exchange and NASDAQ, and includes companies like Goldman Sachs, IBM and Walt Disney. This index is considered to be a barometer of the state of the American economy. DJIA index was created in 1986 by Charles Dow. Along with the NASDAQ 100 and S&P 500 indices, it is amongst the most well-known and used stock indexes in the world. The year that the 2018 financial crisis unfolded was one of the worst years of the Dow. It was also in 2008 that some of the largest ever recorded losses of the Dow Jones Index based on single-day points were registered. On September 29, 2008, for instance, the Dow had a loss of ****** points, one of the largest single-day losses of all times. The best years in the history of the index still are 1915, when the index value increased by ***** percent in one year, and 1933, year when the index registered a growth of ***** percent.

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

    • statista.com
    Updated Mar 15, 2025
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    Statista (2025). 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 15, 2025
    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.

  6. y

    S&P 500 Monthly Return

    • ycharts.com
    html
    Updated Nov 5, 2025
    + more versions
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    Standard and Poor's (2025). S&P 500 Monthly Return [Dataset]. https://ycharts.com/indicators/sp_500_monthly_return
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    htmlAvailable download formats
    Dataset updated
    Nov 5, 2025
    Dataset provided by
    YCharts
    Authors
    Standard and Poor's
    License

    https://www.ycharts.com/termshttps://www.ycharts.com/terms

    Time period covered
    Nov 30, 1999 - Oct 31, 2025
    Area covered
    United States
    Variables measured
    S&P 500 Monthly Return
    Description

    View monthly updates and historical trends for S&P 500 Monthly Return. from United States. Source: Standard and Poor's. Track economic data with YCharts a…

  7. Worst days in the history of Dow Jones Industrial Average index 1897-2024

    • statista.com
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    Statista, Worst days in the history of Dow Jones Industrial Average index 1897-2024 [Dataset]. https://www.statista.com/statistics/261797/the-worst-days-of-the-dow-jones-index-since-1897/
    Explore at:
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    The statistic shows the worst days of the Dow Jones Industrial Average index from 1897 to 2024. The worst day in the history of the index was ****************, when the index value decreased by ***** percent. The largest single day loss in points was on ***********.

  8. Biggest one-day losses Nasdaq Composite Index 2020-2024

    • statista.com
    Updated Aug 23, 2024
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    Statista (2024). Biggest one-day losses Nasdaq Composite Index 2020-2024 [Dataset]. https://www.statista.com/statistics/1027906/biggest-one-day-losses-nasdaq-composite-index/
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    Dataset updated
    Aug 23, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Mar 2020 - Aug 2024
    Area covered
    United States
    Description

    Between March 2020 and August 2024, four of the biggest one-day losses on the Nasdaq Composite Index occurred in the first half of 2020. The worst day was March 16, 2020, when the index fell by ***** percent. The ** worst days in terms of losses were spread across 2020 and 2022. This index includes the Big Five tech giants - Apple, Amazon, Alphabet (Google), Meta, and Microsoft - as well as many other technology-focused companies.

  9. 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.

  10. NSE NIFTY Indices Data

    • kaggle.com
    Updated Mar 1, 2023
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    Yogesh Shinde (2023). NSE NIFTY Indices Data [Dataset]. https://www.kaggle.com/datasets/yogesh239/nse-nifty-indices-data
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Mar 1, 2023
    Dataset provided by
    Kaggle
    Authors
    Yogesh Shinde
    Description

    Context : NIFTY 50 is the flagship stock market index of the National Stock Exchange (NSE) in India which is one of the leading stock exchanges in India. NIFTY 50 represents the performance of 50 large-cap companies across various sectors of the Indian economy.
    Similarly NIFTY 100 represents the performance of the top 100 companies listed on the NSE based on market capitalization. NIFTY 100 is also part of several other indices, such as NIFTY 200, NIFTY 500, and NIFTY 100 Equal Weight Index.

    In the National Stock Exchange (NSE) of India, there are three market segments based on the market capitalization of the listed companies. They are: - Large-cap: This segment includes the top 100 companies listed on the NSE based on market capitalization. - Mid-cap: This segment includes companies that rank between 101 and 250 based on market capitalization. - Small-cap: This segment includes companies that rank below the top 250 companies based on market capitalization. Market capitalization is calculated by multiplying a company's total outstanding shares by its current market price per share. The NSE's NIFTY Mid-cap 100 and NIFTY Small-cap 250 indices track the performance of companies in the mid-cap and small-cap segments of the market, respectively.

    The NIFTY500 Multicap 50:25:25 index is a variant of the NIFTY 500 index, which represents the top 500 companies listed on India's National Stock Exchange (NSE). The Multicap 50:25:25 variant is a modified version of the NIFTY500 index that divides stocks into three categories based on market capitalization. The top 50 companies by market capitalization are classified as large-cap companies under this variant, while the next 150 companies are classified as mid-cap companies. The remaining 300 businesses are classified as small-cap.

    Content : This Dataset contains records for all NIFTY-50 , NIFTY 200, NIFTY Midcap 100, NIFTY Smallcap 250, NIFTY500 Multicap 50:25:25 stocks, as on 1st March, 2023 - Open - open value of the index on that day - High - highest value of the index on that day - Low - lowest value of the index on that day - PREV. CLOSE - Previous Close Value - LTP - Last Traded Price - CHNG - Change in the price - %CHNG - Percentage change - Volume - volume of transaction - Value - Turn over in lakhs - 52W H - 52 Week High price - 52W L - 52 Week Lowest price - 365 D % CHNG - Past 365 Days Change Percentage - 30 D % CHNG - Past 30 Days Change Percentage

    Note : - %CHNG: % change is calculated with respect to adjusted price on ex-date for Corporate Actions like: Dividend, Bonus, Rights & Face Value Split and also adjusted for Past 365 days & 30 days. - 52 W H/L: 52 week High & Low prices are adjusted for Bonus, Split & Rights Corporate actions.

    Acknowledgements : The data is obtained from NSE website This is just daily level data provided here, you will get vast and detailed real-time & historical data from the official website.

    Image Credit : https://gettyimages.com

  11. Best days in the history of Dow Jones Industrial Average index 1897-2024

    • statista.com
    Updated Jan 15, 2025
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    Statista (2025). Best days in the history of Dow Jones Industrial Average index 1897-2024 [Dataset]. https://www.statista.com/statistics/261794/the-best-days-of-the-dow-jones-index-since-1897/
    Explore at:
    Dataset updated
    Jan 15, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    The statistic shows the best days of the Dow Jones Industrial Average index from 1897 to 2024. The best day in the history of the index was October 6, 1931, when the index value increased by almost ** percent - although it should be noted that this occured one day after the Dow Jones experienced its fourth-worst day of all time, dropping over **** percent. The largest gain in points occurred on October 13, 2008.

  12. Foreign Exchange Market Analysis, Size, and Forecast 2025-2029: North...

    • technavio.com
    pdf
    Updated Dec 27, 2024
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    Technavio (2024). Foreign Exchange Market Analysis, Size, and Forecast 2025-2029: North America (US and Canada), Europe (Germany, Switzerland, UK), Middle East and Africa (UAE), APAC (China, India, Japan), South America (Brazil), and Rest of World (ROW) [Dataset]. https://www.technavio.com/report/foreign-exchange-market-industry-analysis
    Explore at:
    pdfAvailable download formats
    Dataset updated
    Dec 27, 2024
    Dataset provided by
    TechNavio
    Authors
    Technavio
    License

    https://www.technavio.com/content/privacy-noticehttps://www.technavio.com/content/privacy-notice

    Time period covered
    2025 - 2029
    Area covered
    United States
    Description

    Snapshot img

    Foreign Exchange Market Size 2025-2029

    The foreign exchange market size is valued to increase by USD 582 billion, at a CAGR of 10.6% from 2024 to 2029. Growing urbanization and digitalization will drive the foreign exchange market.

    Major Market Trends & Insights

    Europe dominated the market and accounted for a 47% growth during the forecast period.
    By Type - Reporting dealers segment was valued at USD 278.60 billion in 2023
    By Trade Finance Instruments - Currency swaps segment accounted for the largest market revenue share in 2023
    

    Market Size & Forecast

    Market Opportunities: USD 118.14 billion
    Market Future Opportunities: USD 582.00 billion
    CAGR from 2024 to 2029 : 10.6%
    

    Market Summary

    The market, a dynamic and intricate web of financial transactions, plays a pivotal role in facilitating global trade and economic interactions. Its primary function is to enable the conversion of one currency into another, thereby mitigating the risk of currency fluctuations for businesses and investors. Key drivers of this market include growing urbanization and digitalization, which have expanded trading opportunities to a 24x7 global economy. However, the uncertainty of future exchange rates poses a significant challenge, necessitating effective risk management strategies. The market's evolution reflects the increasing interconnectedness of the global economy. Transactions occur in a decentralized, over-the-counter system, with major trading centers in London, New York, and Tokyo.
    Participants include commercial banks, investment banks, hedge funds, and individual investors, all seeking to capitalize on price differences between currencies. Trends shaping the market include the increasing use of automation and artificial intelligence to analyze market data and execute trades. Regulatory changes, such as the introduction of stricter capital requirements, also impact the market's functioning. Looking ahead, the market is expected to remain a vital component of the global financial landscape, with continued growth driven by increased trade and economic interdependence. However, challenges, such as regulatory changes and geopolitical risks, will necessitate adaptability and innovation from market participants.
    

    What will be the Size of the Foreign Exchange Market during the forecast period?

    Get Key Insights on Market Forecast (PDF) Request Free Sample

    How is the Foreign Exchange Market Segmented ?

    The foreign exchange 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.

    Type
    
      Reporting dealers
      Financial institutions
      Non-financial customers
    
    
    Trade Finance Instruments
    
      Currency swaps
      Outright forward and FX swaps
      FX options
    
    
    Trading Platforms
    
      Electronic Trading
      Over-the-Counter (OTC)
      Mobile Trading
    
    
    Geography
    
      North America
    
        US
        Canada
    
    
      Europe
    
        Germany
        Switzerland
        UK
    
    
      Middle East and Africa
    
        UAE
    
    
      APAC
    
        China
        India
        Japan
    
    
      South America
    
        Brazil
    
    
      Rest of World (ROW)
    

    By Type Insights

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

    The market, a dynamic and ever-evolving financial landscape, is characterized by constant activity and intricate patterns. Participants engage in various trading strategies, employing advanced tools such as stop-loss and take-profit orders on forex trading platforms. Real-time data feeds and order book dynamics facilitate trade execution speed, while market microstructure and slippage minimization techniques ensure efficient transactions. Currency correlation analysis and transaction cost analysis are integral to informed decision-making, with backtesting methodologies providing valuable insights. Currency forwards contracts, position sizing techniques, and forex derivatives pricing are essential components of risk management systems. Carry trade strategies, hedging strategies, and interest rate parity are popular tactics employed by market participants.

    Algorithmic trading strategies, driven by options pricing models and trading algorithms' efficiency, significantly influence price discovery mechanisms. High-frequency trading and volatility modeling contribute to the market's liquidity risk management, while foreign exchange swaps and currency option valuation help manage risk. The market's complexities necessitate sophisticated risk management systems and intricate order routing optimization. Global payments systems facilitate the smooth transfer of funds, and liquidity risk management remains a critical concern for market participants. According to recent studies, The market is estimated to account for approximately USD6 trillion in daily trading volume, und

  13. T

    Germany Stock Market Index (DE40) Data

    • tradingeconomics.com
    • zh.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Dec 2, 2025
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    TRADING ECONOMICS (2025). Germany Stock Market Index (DE40) Data [Dataset]. https://tradingeconomics.com/germany/stock-market
    Explore at:
    xml, csv, json, excelAvailable 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 30, 1987 - Dec 2, 2025
    Area covered
    Germany
    Description

    Germany's main stock market index, the DE40, rose to 23722 points on December 2, 2025, gaining 0.56% from the previous session. Over the past month, the index has declined 1.70%, though it remains 18.51% higher than a year ago, according to trading on a contract for difference (CFD) that tracks this benchmark index from Germany. Germany Stock Market Index (DE40) - values, historical data, forecasts and news - updated on December of 2025.

  14. c

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

    • cognitivemarketresearch.com
    pdf,excel,csv,ppt
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    Cognitive Market Research, The global stock market size is USD 3645.2 million in 2024. [Dataset]. https://www.cognitivemarketresearch.com/stock-market-report
    Explore at:
    pdf,excel,csv,pptAvailable download formats
    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

    The global stock market demonstrates a robust growth trajectory, poised for significant expansion in the coming decade. Projections indicate the market will surge from approximately $9.55 trillion in 2021 to over $23.85 trillion by 2033, expanding at a compound annual growth rate (CAGR) of 7.926%. This growth is underpinned by strong corporate earnings, technological advancements in trading, and increasing participation from retail investors. While North America currently dominates in terms of market size, the Asia-Pacific region is emerging as the fastest-growing hub, driven by the burgeoning economies of India and China. Factors such as monetary policies, geopolitical stability, and regulatory environments will continue to be pivotal in shaping regional market dynamics and overall global performance.

    Key strategic insights from our comprehensive analysis reveal:

    The Asia-Pacific region is the primary growth engine for the global stock market, exhibiting the highest CAGR of 9.112%, with nations like India and China leading this rapid expansion.
    North America, particularly the United States, will maintain its position as the largest market by value, commanding a significant share of the global total, despite a slightly more moderate growth rate compared to APAC.
    There is a consistent and broad-based growth trend across all major global regions, indicating widespread investor confidence and economic recovery, though the pace of expansion varies, highlighting diverse investment opportunities and risks.
    

    Global Market Overview & Dynamics of Stock Market Analysis The global stock market is on a path of sustained and significant growth, driven by a confluence of economic, technological, and social factors. The market is forecast to expand from $9.55 trillion in 2021 to nearly $23.86 trillion by 2033. This expansion reflects growing global wealth, increased corporate profitability, and the continuous innovation in financial technologies that makes investing more accessible. However, this growth is not without its challenges, as markets must navigate through geopolitical tensions, inflationary pressures, and evolving regulatory landscapes that can introduce volatility and uncertainty.

    Global Stock Market Drivers

    Favorable Economic Conditions: Broad-based global GDP growth, coupled with supportive monetary policies from central banks in major economies, stimulates corporate investment and boosts earnings, attracting investors to equity markets.
    Technological Innovation and Accessibility: The proliferation of online trading platforms, robo-advisors, and mobile investing apps has democratized access to stock markets, leading to a surge in retail investor participation.
    Corporate Profitability and IPO Activity: Strong and resilient corporate earnings growth, along with a healthy pipeline of Initial Public Offerings (IPOs) from innovative companies, continually injects fresh capital and opportunities into the market.
    

    Global Stock Market Trends

    Rise of ESG Investing: There is a rapidly growing trend of investors integrating Environmental, Social, and Governance (ESG) criteria into their investment decisions, pushing companies to adopt more sustainable practices.
    Increased Focus on Emerging Markets: Investors are increasingly allocating capital to emerging markets, particularly in the Asia-Pacific and South American regions, in pursuit of higher growth potential compared to more mature markets.
    Growth of Passive Investing: The shift towards passive investment strategies, such as index funds and Exchange-Traded Funds (ETFs), continues to gain momentum due to their lower costs and broad market exposure.
    

    Global Stock Market Restraints

    Geopolitical Instability and Trade Disputes: International conflicts, trade wars, and political uncertainty can disrupt global supply chains, dampen investor sentiment, and lead to significant market volatility.
    Inflation and Interest Rate Hikes: Persistent inflationary pressures force central banks to raise interest rates, which increases borrowing costs for companies and can make less risky assets like bonds more attractive relative to stocks.
    Regulatory Scrutiny and Complexity: Stricter regulations on financial markets, data privacy, and corporate governance can increase compliance costs and limit certain market activities, potentially hindering growth.
    

    Strategic Recommendations for Manufacturers

    Prioritize market entry and expansion s...
    
  15. Daily S&P 500 index performance 2025

    • statista.com
    Updated Aug 15, 2025
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    Statista (2025). Daily S&P 500 index performance 2025 [Dataset]. https://www.statista.com/statistics/1332260/daily-sandp-500-index-performance/
    Explore at:
    Dataset updated
    Aug 15, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jan 3, 2022 - Aug 19, 2024
    Area covered
    United States
    Description

    The S&P 500 index dropped significantly between January 3 and September 9, 2022. As of January 3, the index stood at ******** points, and it dropped approximately 15 percent by September 2022. In August 2025, the daily value of the S&P 500 increased over 6**** points and reached ********as of August 19 of the same year.

  16. Indian Market Analysis Dataset

    • kaggle.com
    zip
    Updated Aug 15, 2023
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    lastman0800 (2023). Indian Market Analysis Dataset [Dataset]. https://www.kaggle.com/datasets/lastman0800/indian-market-analysis-dataset
    Explore at:
    zip(9647 bytes)Available download formats
    Dataset updated
    Aug 15, 2023
    Authors
    lastman0800
    Description

    Market Segment: This column lists the different market segments or industries within the Indian market that you are analyzing. For example, "Automotive," "Construction and Engineering," "Corporate, M&A and Capital Markets," etc.

    Profitability: This column represents the estimated level of profitability for each market segment, expressed as a percentage. Higher percentages indicate higher profitability potential. For instance, a profitability of 85% means that the segment is expected to generate a high level of profit.

    Growth Rate: This column indicates the projected growth rate for each market segment, expressed as a percentage. A higher growth rate suggests a faster expansion of the segment. For example, a growth rate of 7% signifies a moderate growth rate.

    Market Size: This column assesses the relative size of the market segment in terms of its share of the overall market, presented as a percentage. Larger percentages indicate larger market sizes. A market size of 20% suggests that the segment holds a significant portion of the market.

    Prospective Client Demand: This column reflects the anticipated demand for services in each market segment from potential clients, expressed as a percentage. Higher percentages imply greater demand from clients. A demand of 80% means that there is strong interest from potential clients.

    Attractiveness Score: This column is an aggregate score that combines the percentages from the previous four columns (Profitability, Growth Rate, Market Size, and Prospective Client Demand) to provide an overall assessment of the market segment's attractiveness. The higher the score, the more attractive the segment is considered.

    Profit Margin (%): This column represents the estimated profit margin for each market segment, expressed as a percentage. It indicates how much of the revenue translates into profit after deducting costs. For instance, a profit margin of 20% means that 20% of the revenue is profit.

    Growth Rate (%): This column shows the growth rate percentage for the potential profit generated by each market segment. It's similar to the growth rate mentioned earlier but specifically applies to the potential profit.

    Market Share (%): This column represents the projected market share percentage of each market segment within the overall industry.

    Potential Profit ($): This column indicates the calculated potential profit in dollars for each market segment. It's calculated based on the provided percentages and other financial considerations.

  17. T

    Australia 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). Australia Stock Market Index Data [Dataset]. https://tradingeconomics.com/australia/stock-market
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    json, xml, csv, excelAvailable 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
    May 29, 1992 - Dec 2, 2025
    Area covered
    Australia
    Description

    Australia's main stock market index, the ASX200, fell to 8556 points on December 2, 2025, losing 0.11% from the previous session. Over the past month, the index has declined 3.81%, though it remains 0.71% higher than a year ago, according to trading on a contract for difference (CFD) that tracks this benchmark index from Australia. Australia Stock Market Index - values, historical data, forecasts and news - updated on December of 2025.

  18. G

    Carrier Rate Shopping Software Market Research Report 2033

    • growthmarketreports.com
    csv, pdf, pptx
    Updated Oct 6, 2025
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    Growth Market Reports (2025). Carrier Rate Shopping Software Market Research Report 2033 [Dataset]. https://growthmarketreports.com/report/carrier-rate-shopping-software-market
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    pptx, pdf, csvAvailable download formats
    Dataset updated
    Oct 6, 2025
    Dataset authored and provided by
    Growth Market Reports
    Time period covered
    2024 - 2032
    Area covered
    Global
    Description

    Carrier Rate Shopping Software Market Outlook



    According to our latest research, the global carrier rate shopping software market size reached USD 1.67 billion in 2024. The market is expected to expand at a robust CAGR of 11.3% during the forecast period, reaching USD 4.32 billion by 2033. This growth is primarily fueled by the increasing demand for real-time freight rate comparison, the surge in e-commerce logistics complexity, and the ongoing digital transformation within the supply chain sector. As businesses strive to optimize shipping costs and enhance operational efficiency, the adoption of carrier rate shopping software has become a pivotal element in modern logistics strategies.




    One of the primary growth drivers for the carrier rate shopping software market is the rapid expansion of the e-commerce industry. As online retail continues to flourish globally, businesses are confronted with the challenge of managing a wide array of shipping carriers and rate structures. Carrier rate shopping software enables organizations to automate the process of comparing shipping rates across multiple carriers in real-time, ensuring that the most cost-effective and efficient shipping options are selected for every transaction. This capability not only reduces operational costs but also improves customer satisfaction by offering faster and more reliable delivery options. The proliferation of omnichannel retailing and the increasing expectations for same-day or next-day delivery further underscore the necessity for advanced rate shopping solutions, driving sustained adoption across multiple sectors.




    Another significant factor propelling market growth is the escalating complexity of global supply chains. With businesses sourcing materials and distributing products across multiple geographies, the need for sophisticated solutions to manage dynamic shipping rates and regulatory requirements has intensified. Carrier rate shopping software provides critical support by integrating with transportation management systems (TMS), enterprise resource planning (ERP) platforms, and other logistics applications, offering seamless access to up-to-date carrier information, fuel surcharges, and delivery timelines. This integration empowers logistics teams to make data-driven decisions, minimize errors, and maintain compliance with international shipping regulations. The continuous evolution of supply chain networks, coupled with the rise of cross-border e-commerce, is expected to sustain strong demand for carrier rate shopping software in the coming years.




    Technological advancements are also playing a crucial role in shaping the carrier rate shopping software market. The adoption of artificial intelligence, machine learning, and predictive analytics within these software platforms is enabling more accurate rate forecasting, route optimization, and automated carrier selection. These innovations are particularly beneficial for large enterprises and third-party logistics providers managing high shipment volumes. Additionally, the transition toward cloud-based deployment models is making these solutions more accessible to small and medium enterprises (SMEs), further broadening the market’s addressable base. As businesses increasingly recognize the value of data-driven logistics management, the integration of advanced technologies into carrier rate shopping software is poised to accelerate market growth throughout the forecast period.




    From a regional perspective, North America currently dominates the carrier rate shopping software market, accounting for the largest share in 2024, followed closely by Europe and the Asia Pacific. The high concentration of e-commerce giants, technologically advanced logistics providers, and a mature digital infrastructure in North America have been instrumental in driving early adoption. Meanwhile, Asia Pacific is expected to witness the fastest growth, with a projected CAGR of 13.1% from 2025 to 2033, fueled by rapid digitalization, burgeoning e-commerce markets, and increasing investments in logistics automation. Europe remains a key market due to the presence of established transportation networks and stringent regulatory standards, while Latin America and the Middle East & Africa are emerging as promising regions, supported by growing investments in logistics infrastructure and digital transformation initiatives.



  19. US Recession Dataset

    • kaggle.com
    zip
    Updated May 14, 2023
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    Shubhaansh Kumar (2023). US Recession Dataset [Dataset]. https://www.kaggle.com/datasets/shubhaanshkumar/us-recession-dataset
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    zip(39062 bytes)Available download formats
    Dataset updated
    May 14, 2023
    Authors
    Shubhaansh Kumar
    License

    https://cdla.io/sharing-1-0/https://cdla.io/sharing-1-0/

    Area covered
    United States
    Description

    This dataset includes various economic indicators such as stock market performance, inflation rates, GDP, interest rates, employment data, and housing index, all of which are crucial for understanding the state of the economy. By analysing this dataset, one can gain insights into the causes and effects of past recessions in the US, which can inform investment decisions and policy-making.

    There are 20 columns and 343 rows spanning 1990-04 to 2022-10

    The columns are:

    1. Price: Price column refers to the S&P 500 lot price over the years. The S&P 500 is a stock market index that measures the performance of 500 large companies listed on stock exchanges in the United States. This variable represents the value of the S&P 500 index from 1980 to present. Industrial Production: This variable measures the output of industrial establishments in the manufacturing, mining, and utilities sectors. It reflects the overall health of the manufacturing industry, which is a key component of the US economy.

    2. INDPRO: Industrial production measures the output of the manufacturing, mining, and utility sectors of the economy. It provides insights into the overall health of the economy, as a decline in industrial production can indicate a slowdown in economic activity. This data can be used by policymakers and investors to assess the state of the economy and make informed decisions.

    3. CPI: CPI stands for Consumer Price Index, which measures the change in the prices of a basket of goods and services that consumers purchase. CPI inflation represents the rate at which the prices of goods and services in the economy are increasing.

    4. Treasure Bill rate (3 month to 30 Years): Treasury bills (T-bills) are short-term debt securities issued by the US government. This variable represents the interest rates on T-bills with maturities ranging from 3 months to 30 years. It reflects the cost of borrowing money for the government and provides an indication of the overall level of interest rates in the economy.

    5. GDP: GDP stands for Gross Domestic Product, which is the value of all goods and services produced in a country. This dataset is taking into account only the Nominal GDP values. Nominal GDP represents the total value of goods and services produced in the US economy without accounting for inflation.

    6. Rate: The Federal Funds Rate is the interest rate at which depository institutions lend reserve balances to other depository institutions overnight. It is set by the Federal Reserve and is used as a tool to regulate the money supply in the economy.

    7. BBK_Index: The BBKI are maintained and produced by the Indiana Business Research Center at the Kelley School of Business at Indiana University. The BBK Coincident and Leading Indexes and Monthly GDP Growth for the U.S. are constructed from a collapsed dynamic factor analysis of a panel of 490 monthly measures of real economic activity and quarterly real GDP growth. The BBK Leading Index is the leading subcomponent of the cycle measured in standard deviation units from trend real GDP growth.

    8. Housing Index: This variable represents the value of the housing market in the US. It is calculated based on the prices of homes sold in the market and provides an indication of the overall health of the housing market.

    9. Recession binary column: This variable is a binary indicator that takes a value of 1 when the US economy is in a recession and 0 otherwise. It is based on the official business cycle dates provided by the National Bureau of Economic Research.

  20. Weekly development S&P 500 Index 2024

    • statista.com
    Updated Feb 15, 2025
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    Statista (2025). Weekly development S&P 500 Index 2024 [Dataset]. https://www.statista.com/statistics/1104270/weekly-sandp-500-index-performance/
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    Dataset updated
    Feb 15, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jan 1, 2020 - Dec 29, 2024
    Area covered
    United States
    Description

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

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Statista (2025). Largest point gains of the Dow Jones Average 2025 [Dataset]. https://www.statista.com/statistics/274196/largest-single-day-gains-of-the-dow-jones-index/
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Largest point gains of the Dow Jones Average 2025

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Dataset updated
Jul 11, 2025
Dataset authored and provided by
Statistahttp://statista.com/
Area covered
United States
Description

April 9, 2025, saw the largest one-day gain in the history of the Dow Jones Industrial Average (DJIA), follwing Trump's announcement of 90-day delay in the introduction of tariffs imposed on imports from all countries. The second-largest one-day gain occurred on March 24, 2020, with the index increasing ******** points. This occurred approximately two weeks after the largest one-day point loss occurred on March 9, 2020, which was triggered by the growing panic about the coronavirus outbreak worldwide. Index fluctuations The DJIA is an index of ** large companies traded on the New York Stock Exchange. It is one of the numbers that financial analysts watch closely, using it as a bellwether for the United States economy. Seeing when these large gains occur, as well as the largest one-day point losses, gives insight to why these fluctuations may occur. The gains in 2009 are likely adjustments after major losses during the Financial Crisis, but those in 2018 are probably signs of high market volatility. Other leading financial indicators While the DJIA is closely watched, it only gives insight on the performance of thirty leading U.S. companies. An index like the S&P 500, tracking *** companies, can give a more comprehensive overview of the United States economy. Even so, this only reflects investment. Other parts of the economy, such as consumer spending or unemployment rate are not well reflected in stock market indices.

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