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.

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.

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.

Short/Long Term Stocks: Dow Jones New Zealand 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

Graph and download economic data for Dow Jones Industrial Average (DJIA) from 2015-12-02 to 2025-12-01 about stock market, average, industry, and USA.

Dow Jones U.S. Financials index is expected to exhibit a volatile performance in the coming period. Factors such as macroeconomic conditions, interest rate changes, and geopolitical events could pose risks to its stability. However, the industry's long-term outlook remains positive, driven by steady growth in the financial sector and continued demand for financial services.

United Kingdom's main stock market index, the GB100, fell to 9690 points on December 2, 2025, losing 0.13% from the previous session. Over the past month, the index has declined 0.12%, though it remains 15.91% higher than a year ago, according to trading on a contract for difference (CFD) that tracks this benchmark index from United Kingdom. United Kingdom Stock Market Index (GB100) - values, historical data, forecasts and news - updated on December of 2025.

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

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.

The main stock market index of United States, the US500, rose to 6825 points on December 2, 2025, gaining 0.18% from the previous session. Over the past month, the index has declined 0.39%, though it remains 12.82% 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.

Japan's main stock market index, the JP225, rose to 49553 points on December 2, 2025, gaining 0.51% from the previous session. Over the past month, the index has declined 3.78%, though it remains 26.25% higher 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 December of 2025.

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

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

Stock Data of Top USA Companies: Apple, Tesla, Amazon

👨‍💻 Author: Azhar Saleem

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Dataset Description

This dataset provides daily stock data for some of the top companies in the USA stock market, including major players like Apple, Microsoft, Amazon, Tesla, and others. The data is collected from Yahoo Finance, covering each company’s historical data from its starting date until today. This comprehensive dataset enables in-depth analysis of key financial indicators and stock trends for each company, making it valuable for multiple applications.

Column Descriptions

The dataset contains the following columns, consistent across all companies:

• Date: The date of the stock data entry.
• Open: The stock's opening price for the day.
• High: The highest price reached during the trading day.
• Low: The lowest price during the trading day.
• Close: The stock’s closing price for the day.
• Volume: The total number of shares traded on that day.
• Dividends: Any dividends paid out on that day.
• Stock Splits: Records stock split events, if any, on that day.

Potential Use Cases

1. Machine Learning & Deep Learning:

   • Stock Price Prediction: Use historical prices to train models for forecasting future stock prices.
   • Sentiment Analysis and Price Correlation: Combine with external sentiment data to predict price movements based on market sentiment.
   • Anomaly Detection: Detect unusual price patterns or volume spikes using classification algorithms.

2. Data Science:

   • Trend Analysis: Identify long-term trends for each company or compare trends between companies.
   • Volatility Analysis: Calculate volatility to assess risk and return patterns over time.
   • Correlation Analysis: Compare stock performance across companies to study market relationships.

3. Data Analysis:

   • Historical Performance: Review historical data to understand growth trends, market impact of stock splits, and dividends.
   • Seasonal Patterns: Analyze data for seasonal trends or recurring patterns across years.
   • Investment Strategy Backtesting: Test various investment strategies based on historical data to assess potential profitability.

4. Financial Research:

   • Economic Impact Studies: Investigate how major events affected stock prices across top companies.
   • Sector-Specific Analysis: Identify performance differences across sectors, such as tech, healthcare, and retail.

This dataset is a powerful tool for analysts, researchers, and financial enthusiasts, offering versatility across multiple domains from stock analysis to algorithmic trading models.

Historical dataset of the Dow Jones PE Ratio, covering values from 1993-05-01 to 2025-11-18, with the latest releases and long-term trends. Available for free download in CSV format.

Monthly and long-term Sweden 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.

Short/Long Term Stocks: EQT 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

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.

Key Stock Market Outlook

According to our latest research, the global key stock market size reached USD 104.5 trillion in 2024, reflecting a robust expansion driven by increasing investor participation and technological advancements in trading systems. The market is anticipated to grow at a CAGR of 7.2% from 2025 to 2033, reaching a projected value of USD 195.7 trillion by 2033. This growth trajectory is primarily supported by the rising adoption of digital trading platforms, the democratization of investing via fintech solutions, and a growing appetite for equities among both institutional and retail investors. As per our latest research, the stock market continues to benefit from favorable regulatory environments and the ongoing globalization of capital markets.

One of the most significant growth factors for the key stock market is the widespread adoption of online trading platforms. The proliferation of smartphones, enhanced internet connectivity, and the emergence of user-friendly trading applications have empowered a new generation of investors to participate in equity markets. This accessibility has led to a surge in retail investor activity, particularly in emerging economies where financial literacy and digital penetration are on the rise. Additionally, algorithmic trading and artificial intelligence-driven analytics are enabling investors to make faster and more informed decisions, further boosting trading volumes and market liquidity. These technological advancements are not only transforming how stocks are traded but are also expanding the investor base, thereby driving the overall market growth.

Institutional investors continue to play a pivotal role in shaping the dynamics of the global key stock market. Pension funds, mutual funds, hedge funds, and sovereign wealth funds are increasingly allocating larger portions of their portfolios to equities, attracted by the potential for higher returns compared to traditional fixed-income instruments. This institutional demand is further amplified by favorable macroeconomic conditions, such as low interest rates and accommodative monetary policies adopted by central banks worldwide. As institutional players seek to diversify their holdings and manage risk through sophisticated strategies, their participation not only enhances market stability but also encourages the development of innovative financial products and services, thereby contributing to the sustained growth of the stock market.

Regulatory modernization and cross-border capital flows are also significant contributors to the expansion of the key stock market. Governments and regulatory bodies in major financial centers are continually refining policies to enhance transparency, investor protection, and market efficiency. The harmonization of listing requirements and trading standards across regions is facilitating easier access for foreign investors, leading to increased globalization of stock exchanges. Moreover, the rise of sustainable investing and ESG (Environmental, Social, and Governance) criteria is attracting new pools of capital, especially from socially conscious investors. These regulatory and structural reforms are creating a more inclusive and resilient stock market ecosystem, encouraging long-term participation from a diverse range of stakeholders.

Regionally, North America remains the largest contributor to the global key stock market, with the United States accounting for a significant share due to the dominance of exchanges such as the NYSE and NASDAQ. However, the Asia Pacific region is witnessing the fastest growth, propelled by the rapid economic development of countries like China, India, and Southeast Asian nations. Europe continues to maintain a strong presence, supported by established financial hubs like London, Frankfurt, and Paris. Meanwhile, Latin America and the Middle East & Africa are emerging as promising markets, driven by ongoing economic reforms and increased integration with global financial systems. This regional diversification is ensuring a balanced and resilient growth outlook for the global key stock market over the forecast period.

Type Analysis

The key stock market can be segmented by type into Common Stock, Preferred Stock, and Hybrid Stock, each offering distinct characteristics and investment opportunities. Common stock remains the most widely traded and recognized type, representing ownership in a company and entitling shareho

In 2025, ** percent of adults in the United States invested in the stock market. This figure has remained steady over the last few years and is still below the levels before the Great Recession, when it peaked in 2007 at ** percent. What is the stock market? The stock market can be defined as a group of stock exchanges where investors can buy shares in a publicly traded company. In more recent years, it is estimated an increasing number of Americans are using neobrokers, making stock trading more accessible to investors. Other investments A significant number of people think stocks and bonds are the safest investments, while others point to real estate, gold, bonds, or a savings account. Since witnessing the significant one-day losses in the stock market during the financial crisis, many investors were turning towards these alternatives in hopes for more stability, particularly for investments with longer maturities. This could explain the decrease in this statistic since 2007. Nevertheless, some speculators enjoy chasing the short-run fluctuations, and others see value in choosing particular stocks.

📈 eBay Stock Price Dataset (1998 - 2025) 🛒💰

📌 Overview

This dataset provides historical stock prices of eBay Inc. (EBAY) from 1998 to the 2025. It includes key stock market data such as Open, High, Low, Close, Adjusted Close, and Volume, making it useful for financial analysis, stock market research, and predictive modeling.

🔹 Ticker Symbol: EBAY
🔹 Date Range: 1998 - Present
🔹 Dataset Type: Time Series Data

📊 Dataset Features

🎯 Why Use This Dataset?

✅ Stock Market Analysis – Identify trends in eBay’s stock price
✅ Machine Learning & AI – Train models for stock price prediction
✅ Financial Research – Study historical patterns and volatility
✅ Time Series Forecasting – Analyze long-term trends and patterns

📢 Credits

This dataset has been extracted from Yahoo Finance and processed to remove unnecessary columns while retaining core stock market data.

Explore and analyze eBay’s stock history! 🚀📊