The main stock market index of United States, the US500, rose to 6818 points on December 2, 2025, gaining 0.08% from the previous session. Over the past month, the index has declined 0.50%, though it remains 12.70% higher than a year ago, according to trading on a contract for difference (CFD) that tracks this benchmark index from United States. United States Stock Market Index - values, historical data, forecasts and news - updated on December of 2025.

This analysis presents a rigorous exploration of financial data, incorporating a diverse range of statistical features. By providing a robust foundation, it facilitates advanced research and innovative modeling techniques within the field of finance.

FTSE 100: Where to Next?

Financial data:

• Historical daily stock prices (open, high, low, close, volume)

• Fundamental data (e.g., market capitalization, price to earnings P/E ratio, dividend yield, earnings per share EPS, price to earnings growth, debt-to-equity ratio, price-to-book ratio, current ratio, free cash flow, projected earnings growth, return on equity, dividend payout ratio, price to sales ratio, credit rating)

• Technical indicators (e.g., moving averages, RSI, MACD, average directional index, aroon oscillator, stochastic oscillator, on-balance volume, accumulation/distribution A/D line, parabolic SAR indicator, bollinger bands indicators, fibonacci, williams percent range, commodity channel index)

Machine learning features:

• Feature engineering based on financial data and technical indicators

• Sentiment analysis data from social media and news articles

• Macroeconomic data (e.g., GDP, unemployment rate, interest rates, consumer spending, building permits, consumer confidence, inflation, producer price index, money supply, home sales, retail sales, bond yields)

Potential Applications:

• Stock price prediction

• Portfolio optimization

• Algorithmic trading

• Market sentiment analysis

• Risk management

Use Cases:

• Researchers investigating the effectiveness of machine learning in stock market prediction

• Analysts developing quantitative trading Buy/Sell strategies

• Individuals interested in building their own stock market prediction models

• Students learning about machine learning and financial applications

Additional Notes:

• The dataset may include different levels of granularity (e.g., daily, hourly)

• Data cleaning and preprocessing are essential before model training

• Regular updates are recommended to maintain the accuracy and relevance of the data

Monthly and long-term Australia Stock Market data: historical series and analyst forecasts curated by FocusEconomics.

This analysis presents a rigorous exploration of financial data, incorporating a diverse range of statistical features. By providing a robust foundation, it facilitates advanced research and innovative modeling techniques within the field of finance.

Can we predict stock market using machine learning? (WY Stock Forecast)

Financial data:

• Historical daily stock prices (open, high, low, close, volume)

• Fundamental data (e.g., market capitalization, price to earnings P/E ratio, dividend yield, earnings per share EPS, price to earnings growth, debt-to-equity ratio, price-to-book ratio, current ratio, free cash flow, projected earnings growth, return on equity, dividend payout ratio, price to sales ratio, credit rating)

• Technical indicators (e.g., moving averages, RSI, MACD, average directional index, aroon oscillator, stochastic oscillator, on-balance volume, accumulation/distribution A/D line, parabolic SAR indicator, bollinger bands indicators, fibonacci, williams percent range, commodity channel index)

Machine learning features:

• Feature engineering based on financial data and technical indicators

• Sentiment analysis data from social media and news articles

• Macroeconomic data (e.g., GDP, unemployment rate, interest rates, consumer spending, building permits, consumer confidence, inflation, producer price index, money supply, home sales, retail sales, bond yields)

Potential Applications:

• Stock price prediction

• Portfolio optimization

• Algorithmic trading

• Market sentiment analysis

• Risk management

Use Cases:

• Researchers investigating the effectiveness of machine learning in stock market prediction

• Analysts developing quantitative trading Buy/Sell strategies

• Individuals interested in building their own stock market prediction models

• Students learning about machine learning and financial applications

Additional Notes:

• The dataset may include different levels of granularity (e.g., daily, hourly)

• Data cleaning and preprocessing are essential before model training

• Regular updates are recommended to maintain the accuracy and relevance of the data

Monthly and long-term Kenya Stock Market data: historical series and analyst forecasts curated by FocusEconomics.

France's main stock market index, the FR40, rose to 8121 points on December 2, 2025, gaining 0.29% from the previous session. Over the past month, the index has climbed 0.13% and is up 11.93% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks this benchmark index from France. France Stock Market Index (FR40) - values, historical data, forecasts and news - updated on December of 2025.

This analysis presents a rigorous exploration of financial data, incorporating a diverse range of statistical features. By providing a robust foundation, it facilitates advanced research and innovative modeling techniques within the field of finance.

Can we predict stock market using machine learning? (Bovespa Index Stock Forecast)

Financial data:

• Historical daily stock prices (open, high, low, close, volume)

• Fundamental data (e.g., market capitalization, price to earnings P/E ratio, dividend yield, earnings per share EPS, price to earnings growth, debt-to-equity ratio, price-to-book ratio, current ratio, free cash flow, projected earnings growth, return on equity, dividend payout ratio, price to sales ratio, credit rating)

• Technical indicators (e.g., moving averages, RSI, MACD, average directional index, aroon oscillator, stochastic oscillator, on-balance volume, accumulation/distribution A/D line, parabolic SAR indicator, bollinger bands indicators, fibonacci, williams percent range, commodity channel index)

Machine learning features:

• Feature engineering based on financial data and technical indicators

• Sentiment analysis data from social media and news articles

• Macroeconomic data (e.g., GDP, unemployment rate, interest rates, consumer spending, building permits, consumer confidence, inflation, producer price index, money supply, home sales, retail sales, bond yields)

Potential Applications:

• Stock price prediction

• Portfolio optimization

• Algorithmic trading

• Market sentiment analysis

• Risk management

Use Cases:

• Researchers investigating the effectiveness of machine learning in stock market prediction

• Analysts developing quantitative trading Buy/Sell strategies

• Individuals interested in building their own stock market prediction models

• Students learning about machine learning and financial applications

Additional Notes:

• The dataset may include different levels of granularity (e.g., daily, hourly)

• Data cleaning and preprocessing are essential before model training

• Regular updates are recommended to maintain the accuracy and relevance of the data

Monthly and long-term Ukraine Stock Market data: historical series and analyst forecasts curated by FocusEconomics.

This analysis presents a rigorous exploration of financial data, incorporating a diverse range of statistical features. By providing a robust foundation, it facilitates advanced research and innovative modeling techniques within the field of finance.

WisdomTree (WT) Stock Forecast: Navigating the Market

Financial data:

• Historical daily stock prices (open, high, low, close, volume)

• Fundamental data (e.g., market capitalization, price to earnings P/E ratio, dividend yield, earnings per share EPS, price to earnings growth, debt-to-equity ratio, price-to-book ratio, current ratio, free cash flow, projected earnings growth, return on equity, dividend payout ratio, price to sales ratio, credit rating)

• Technical indicators (e.g., moving averages, RSI, MACD, average directional index, aroon oscillator, stochastic oscillator, on-balance volume, accumulation/distribution A/D line, parabolic SAR indicator, bollinger bands indicators, fibonacci, williams percent range, commodity channel index)

Machine learning features:

• Feature engineering based on financial data and technical indicators

• Sentiment analysis data from social media and news articles

• Macroeconomic data (e.g., GDP, unemployment rate, interest rates, consumer spending, building permits, consumer confidence, inflation, producer price index, money supply, home sales, retail sales, bond yields)

Potential Applications:

• Stock price prediction

• Portfolio optimization

• Algorithmic trading

• Market sentiment analysis

• Risk management

Use Cases:

• Researchers investigating the effectiveness of machine learning in stock market prediction

• Analysts developing quantitative trading Buy/Sell strategies

• Individuals interested in building their own stock market prediction models

• Students learning about machine learning and financial applications

Additional Notes:

• The dataset may include different levels of granularity (e.g., daily, hourly)

• Data cleaning and preprocessing are essential before model training

• Regular updates are recommended to maintain the accuracy and relevance of the data

Israel's main stock market index, the TA-125, rose to 3538 points on December 2, 2025, gaining 1.75% from the previous session. Over the past month, the index has climbed 4.40% and is up 50.06% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks this benchmark index from Israel. Israel Stock Market (TA-125) - values, historical data, forecasts and news - updated on December of 2025.

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Mutual Funds Market Size 2025-2029

The mutual funds market size is valued to increase USD 85.5 trillion, at a CAGR of 9.9% from 2024 to 2029. Market liquidity will drive the mutual funds market.

Major Market Trends & Insights

North America dominated the market and accounted for a 52% growth during the forecast period.
By Type - Stock funds segment was valued at USD 50.80 trillion in 2023
By Distribution Channel - Advice channel segment accounted for the largest market revenue share in 2023

Market Size & Forecast

Market Opportunities: USD 151.38 trillion
Market Future Opportunities: USD 85.50 trillion
CAGR : 9.9%
North America: Largest market in 2023

Market Summary

The market represents a dynamic and ever-evolving financial landscape, characterized by continuous growth and innovation. With core technologies such as artificial intelligence and machine learning increasingly shaping investment strategies, mutual funds have become a preferred choice for individual and institutional investors alike. According to recent reports, mutual fund assets under management globally reached an impressive 61.8 trillion USD as of 2021, underscoring the market's substantial size and influence. However, the market is not without challenges. Transaction risks, regulatory compliance, and competition from alternative investment vehicles remain significant hurdles.
Despite these challenges, opportunities abound, particularly in developing nations where mutual fund adoption rates have been on the rise. For instance, mutual fund assets in Asia Pacific grew by 15.3% in 2020, outpacing the global average. As market liquidity continues to improve and regulatory frameworks evolve, the market is poised for further expansion and transformation.

What will be the Size of the Mutual Funds Market during the forecast period?

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

How is the Mutual Funds Market Segmented and what are the key trends of market segmentation?

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

Type

  Stock funds
  Bond funds
  Money market funds
  Hybrid funds


Distribution Channel

  Advice channel
  Retirement plan channel
  Institutional channel
  Direct channel
  Supermarket channel


Geography

  North America

    US
    Canada


  Europe

    France
    Germany
    Italy
    Spain
    UK


  APAC

    Australia
    China
    India


  Rest of World (ROW)

By Type Insights

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

Mutual funds, specifically those investing in stocks, constitute a significant segment of the financial market. These funds exhibit diverse characteristics, catering to various investor preferences. For instance, growth funds prioritize stocks with high growth potential, while income funds focus on securities yielding regular dividends. Index funds mirror a specific market index, such as the S&P 500, and sector funds zero in on a particular industry sector. Share classes within mutual funds differ based on the share of investment. For example, large-cap funds allocate a minimum of 80% of their assets to large-cap companies, which represent the top 100 firms in terms of market capitalization.

Investors can opt for dividend reinvestment plans, enabling them to reinvest their dividends to maximize returns. Tax-efficient investing strategies, such as tax-loss harvesting, help minimize tax liabilities. Bond fund yields and currency exchange risk are essential considerations for investors in bond funds. Risk management strategies, including diversification and asset allocation models, play a crucial role in mitigating potential losses. Fund manager expertise and regulatory compliance frameworks are essential factors for investors. Hedge fund strategies, financial statement audits, actively managed funds, and passive investment strategies all contribute to the evolving mutual fund landscape. Expense ratios, asset allocation models, capital gains distributions, and portfolio rebalancing techniques are essential metrics for evaluating mutual fund performance.

Inflation-adjusted returns and equity fund volatility are crucial for long-term investment planning. Alternative investment funds and exchange-traded funds (ETFs) offer additional investment opportunities, with global diversification benefits and passive investment strategies gaining popularity. Nav calculation methods and passive investment strategies further broaden the scope of mutual fund investments. According to recent studies, stock mutual fund adoption stands at 35%, with expectations of a 21% increase in industry participation over the next five years. Meanwhil

The Rolling Stock Market size was valued at USD 67.12 billion in 2023 and is projected to reach USD 102.94 billion by 2032, exhibiting a CAGR of 6.3 % during the forecasts period. Recent developments include: In February 2023, Stadler Rail AG partnered with ASPIRE Engineering Research Centre and the Utah State University, for the construction of a passenger train powered by batteries centered on the FLIRT Akku idea. The development, construction, and testing of a FLIRT Akku battery-operated two-car multi-unit are all included in the project's scope. During subsequent test runs, the trio will focus on delivering insights for American passenger transit decarburization using battery-powered trains. , In February 2023, Stadler Rail AG announced the acquisition of BBR Verkehrstechnik GmbH, a railroad company, and its group businesses to increase its internal expertise in the digitalization and signaling technology fields. By joining forces, the companies will be able to offer advanced signaling solutions that will enhance and shape the digitization of the rail industry. , In January 2023, Siemens Mobility partnered with the Indian Railways, wherein it received a purchase order for 1,200 locomotives with 9,000 HP, making it the single largest locomotive order in the history of Siemens Mobility and Siemens India. The trains will be designed, developed, assembled, and put through testing by Siemens Mobility. The contract covers 35 years of full-service maintenance, and the deliveries are scheduled over an 11-year period. The trains will be assembled at the Indian Railways facility in Gujarat, India. , In November 2022, Siemens Mobility announced the construction of a train bogies factory in Aurangabad, India. The new plant can fill a single export order with more than 200 bogies. These rail bogies were produced by Siemens using the SF30 Combino Plus global design idea. The factory has a flexible manufacturing facility to meet domestic and overseas rolling stock demand. It can produce bogies for locomotives, coaches, trams, metros, and various electric vehicles. .

This analysis presents a rigorous exploration of financial data, incorporating a diverse range of statistical features. By providing a robust foundation, it facilitates advanced research and innovative modeling techniques within the field of finance.

An In-depth Analysis of the S&P 500 Index: Performance, Composition, and Implications

Financial data:

• Historical daily stock prices (open, high, low, close, volume)

• Fundamental data (e.g., market capitalization, price to earnings P/E ratio, dividend yield, earnings per share EPS, price to earnings growth, debt-to-equity ratio, price-to-book ratio, current ratio, free cash flow, projected earnings growth, return on equity, dividend payout ratio, price to sales ratio, credit rating)

• Technical indicators (e.g., moving averages, RSI, MACD, average directional index, aroon oscillator, stochastic oscillator, on-balance volume, accumulation/distribution A/D line, parabolic SAR indicator, bollinger bands indicators, fibonacci, williams percent range, commodity channel index)

Machine learning features:

• Feature engineering based on financial data and technical indicators

• Sentiment analysis data from social media and news articles

• Macroeconomic data (e.g., GDP, unemployment rate, interest rates, consumer spending, building permits, consumer confidence, inflation, producer price index, money supply, home sales, retail sales, bond yields)

Potential Applications:

• Stock price prediction

• Portfolio optimization

• Algorithmic trading

• Market sentiment analysis

• Risk management

Use Cases:

• Researchers investigating the effectiveness of machine learning in stock market prediction

• Analysts developing quantitative trading Buy/Sell strategies

• Individuals interested in building their own stock market prediction models

• Students learning about machine learning and financial applications

Additional Notes:

• The dataset may include different levels of granularity (e.g., daily, hourly)

• Data cleaning and preprocessing are essential before model training

• Regular updates are recommended to maintain the accuracy and relevance of the data

Spain's main stock market index, the ES35, rose to 16493 points on December 2, 2025, gaining 0.63% from the previous session. Over the past month, the index has climbed 2.84% and is up 38.90% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks this benchmark index from Spain. Spain Stock Market Index (ES35) - values, historical data, forecasts and news - updated on December of 2025.

The global Gabapentin Industry is valued at USD 2,340 million in 2025. It is expected to grow at a CAGR of 5.3% and reach USD 3,950 million by 2035.Thisindustry is anticipated to witness steady growth from 2025 to 2035 because the increasing cases of neuropathic pain, epilepsy, and restless leg syndrome.

Metric	Value
Industry Value (2025E)	USD 2,340 million
Industry Value (2035F)	USD 3,950 million
CAGR (2025 to 2035)	5.3%

Market Share Analysis of Leading Companies

Company	Market Share (%)
Pfizer Inc.	18.5%
Teva Pharmaceuticals	14.2%
Viatris Inc.	12.8%
Sun Pharmaceutical	9.6%
Amneal Pharmaceuticals	7.4%
Aurobindo Pharma	6.8%
Lupin Pharmaceuticals	5.9%
Apotex Inc.	4.7%
Other Generic Manufacturers	20.1%

In 2024, the Croatian market for toilet paper, napkins, towels and tissue stock decreased by -14.8% to $212M for the first time since 2021, thus ending a two-year rising trend. Overall, the total consumption indicated a measured expansion from 2012 to 2024: its value increased at an average annual rate of +4.9% over the last twelve years. The trend pattern, however, indicated some noticeable fluctuations being recorded throughout the analyzed period.

After two years of growth, the Latvian market for toilet paper, napkins, towels and tissue stock decreased by -1.8% to $71M in 2024. Over the period under review, the total consumption indicated a buoyant increase from 2012 to 2024: its value increased at an average annual rate of +5.2% over the last twelve years. The trend pattern, however, indicated some noticeable fluctuations being recorded throughout the analyzed period. Based on 2024 figures, consumption increased by +10.4% against 2021 indices.

The Nebulizer Market Report is Segmented by Nebulizer Type (Jet Nebulizers, Ultrasonic Nebulizers, Mesh Nebulizers, and Smart Nebulizers), Portability (Table-Top, and Hand-Held / Portable), Sales Channel (Direct/Institutional Purchase, Online Retail and More), End-User (Hospitals, Clinics, and More), and Geography (North America, Europe, Asia-Pacific, and More). The Market Forecasts are Provided in Terms of Value (USD).

The size of the U.S. Metaverse Market market was valued at USD 34.28 billion in 2023 and is projected to reach USD 316.92 billion by 2032, with an expected CAGR of 37.4 % during the forecast period. Recent developments include: In December 2023, Reebok International Limited partnered with Futureverse, a technology company to provide a virtual experience to their customers with artificial intelligence (AI) and digital wearables. With this, Reebok is focusing on engaging its customers with the latest technology in order to gain customer insights and provide unique offerings to the customers , In February 2023, BMW AG, an automotive OEM, launched Supplierthon, an initiative aimed to bring together research organizations, metaverse technology experts & and enthusiasts, start-ups, and corporates to work on innovative ideas pertaining to metaverse technology. .

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Brazil Rolling Stock Market Share