The main stock market index in China (SHANGHAI) increased 22 points or 0.66% since the beginning of 2025, 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 March of 2025.

The main stock market index in India (SENSEX) decreased 533 points or 0.68% since the beginning of 2025, 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 March of 2025.

Stock market index in Mexico, December, 2024 The most recent value is 114.82 points as of December 2024, a decline compared to the previous value of 115.37 points. Historically, the average for Mexico from January 1970 to December 2024 is 35.18 points. The minimum of 0 points was recorded in January 1970, while the maximum of 130.33 points was reached in February 2024. | TheGlobalEconomy.com

The main stock market index In the Euro Area (EU50) increased 521 points or 10.65% since the beginning of 2025, according to trading on a contract for difference (CFD) that tracks this benchmark index from Euro Area. Euro Area Stock Market Index (EU50) - values, historical data, forecasts and news - updated on March of 2025.

Graph and download economic data for Financial Market: Share Prices for Italy (SPASTT01ITQ661N) from Q1 1957 to Q4 2024 about Italy and stock market.

Use our Stock Market dataset to access comprehensive financial and corporate data, including company profiles, stock prices, market capitalization, revenue, and key performance metrics. This dataset is tailored for financial analysts, investors, and researchers to analyze market trends and evaluate company performance.

Popular use cases include investment research, competitor benchmarking, and trend forecasting. Leverage this dataset to make informed financial decisions, identify growth opportunities, and gain a deeper understanding of the business landscape. The dataset includes all major data points: company name, company ID, summary, stock ticker, earnings date, closing price, previous close, opening price, and much more.

Jamaica Stock Exchange: Index: JSE Junior Market Index data was reported at 3,627.360 NA in Feb 2025. This records a decrease from the previous number of 3,786.250 NA for Jan 2025. Jamaica Stock Exchange: Index: JSE Junior Market Index data is updated monthly, averaging 2,941.540 NA from Jan 2012 (Median) to Feb 2025, with 157 observations. The data reached an all-time high of 4,451.620 NA in Apr 2022 and a record low of 592.480 NA in Feb 2013. Jamaica Stock Exchange: Index: JSE Junior Market Index data remains active status in CEIC and is reported by Exchange Data International Limited. The data is categorized under Global Database’s Jamaica – Table JM.EDI.SE: Jamaica Stock Exchange: Monthly.

Prices for Vietnam Ho Chi Minh Stock Index including live quotes, historical charts and news. Vietnam Ho Chi Minh Stock Index was last updated by Trading Economics this March 27 of 2025.

The NYSE U.S. 100 Index tracks the largest U.S. companies traded on the New York Stock Exchange. This statistic shows the leading 20 companies on the NYSE U.S. 100 Index by market capitalization. As of January 28, 2024 the multinational conglomerate company Berkshire Hathaway ranked as the first, with a market capitalization of over 900 billion euros. This was followed by Eli Lilly and JP Morgan Chase, with market capitalizations amounting to 695 billion and 678 billion euros respectively. NYSE U.S. 100 Index vs. Nasdaq 100 Index The New York Stock Exchange and the Nasdaq are the largest two stock exchanges in the world, but they differ in the kinds of companies they list. The NYSE is known to list stable and long-lasting firms, commonly referred to as “blue-chip” companies. In contrast, the Nasdaq is renowned for listing the world’s biggest companies, mainly from the tech industry. Similar to the NYSE U.S. 100 Index, the Nasdaq 100 Index tracks the 100 largest non-financial companies listed on the Nasdaq exchange, including both U.S. and non-U.S. companies. The leader of the NYSE U.S. 100 index: Berkshire Hathaway Berkshire Hathaway, the leader of the NYSE U.S. 100 Index, was also among the world's largest companies by revenue in 2023. The company is a multinational conglomerate and holding company with insurance as its core business and interests in other sectors such as railroad, utilities and energy, finance. In fact, Berkshire was the world's biggest insurance company by revenue in 2023. As a holding company, it has significant stakes in some of the world’s largest companies, including Apple, Bank of America and Coca-Cola. With its diverse background in various businesses and industries, Berkshire Hathaway had a total revenue of 365 billion U.S. dollars in 2023.

Today's oil prices on the stock market have been quite volatile. Factors such as supply and demand dynamics, geopolitical events, economic indicators, and market speculation influence the price of oil. This article explores the impact of the ongoing conflict in the Middle East, global demand trends, supply levels, and market speculation on oil prices. It also highlights the potential for rapid changes in oil prices due to various geopolitical, economic, and market factors.

Prices for Euro Area Stock Market Index (EU350) including live quotes, historical charts and news. Euro Area Stock Market Index (EU350) was last updated by Trading Economics this March 6 of 2025.

The Report Covers Rolling Stock Manufacturers and is Segmented by Type (Locomotives, Metros, Passenger Coaches, Other Types), by Propulsion Type (Diesel, Electric, Electro-diesel), and by Geography (North America, Europe, Asia-Pacific, and Rest of the World). The report offers market size and forecasts for rolling stock market in value (USD Billion) for above all segments

As of January 1, 2025, tech giants Nvidia, Apple, Microsoft , Amazon, and Alphabet (Google) dominated the S&P 500 index and were the among only nine companies with a market capitalization exceeding one trillion U.S. dollars in the U.S.

The Nasdaq stock exchange has seen significant fluctuations in its listed companies over recent years. As of December 2024, the exchange boasted a total of 3,289 listed companies, with 2,425 domestic and 864 international firms. This diverse mix of listings reflects the Nasdaq's global appeal and its role as a major player in the world of stock exchanges.

In 2024, the average price-to-book (P/B) ratio of stocks on the Prime Market of the Tokyo Stock Exchange (TSE) in Japan was 1.2. The average P/B ratio of stocks on the Standard Market was 0.8.

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.

Dow Jones U.S. Select Aerospace & Defense Index: Soaring to New Heights or Facing Turbulence?

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 Equity Market-related Economic Uncertainty Index (WLEMUINDXD) from 1985-01-01 to 2025-03-10 about uncertainty, academic data, equity, stock market, and indexes.

Graph and download economic data for Stocks, Number of Shares Sold on the New York Stock Exchange for United States (M11002USM444NNBR) from Jan 1875 to Aug 1966 about stock market and USA.

Stock market forecasting is one of the most challenging problems in today’s financial markets. According to the efficient market hypothesis, it is almost impossible to predict the stock market with 100% accuracy. However, Machine Learning (ML) methods can improve stock market predictions to some extent. In this paper, a novel strategy is proposed to improve the prediction efficiency of ML models for financial markets. Nine ML models are used to predict the direction of the stock market. First, these models are trained and validated using the traditional methodology on a historic data captured over a 1-day time frame. Then, the models are trained using the proposed methodology. Following the traditional methodology, Logistic Regression achieved the highest accuracy of 85.51% followed by XG Boost and Random Forest. With the proposed strategy, the Random Forest model achieved the highest accuracy of 91.27% followed by XG Boost, ADA Boost and ANN. In the later part of the paper, it is shown that only classification report is not sufficient to validate the performance of ML model for stock market prediction. A simulation model of the financial market is used in order to evaluate the risk, maximum draw down and returns associate with each ML model. The overall results demonstrated that the proposed strategy not only improves the stock market returns but also reduces the risks associated with each ML model.

China PE Ratio: Trailing Twelve Months: Shanghai SE: 180 Index data was reported at 11.240 NA in 21 Mar 2025. This records a decrease from the previous number of 11.370 NA for 20 Mar 2025. China PE Ratio: Trailing Twelve Months: Shanghai SE: 180 Index data is updated daily, averaging 11.240 NA from Oct 2008 (Median) to 21 Mar 2025, with 3967 observations. The data reached an all-time high of 22.610 NA in 15 Apr 2010 and a record low of 7.610 NA in 19 May 2014. China PE Ratio: Trailing Twelve Months: Shanghai SE: 180 Index data remains active status in CEIC and is reported by China Securities Index Co., Ltd.. The data is categorized under China Premium Database’s Financial Market – Table CN.ZA: Shanghai Stock Exchange: PE and PB Ratio: Daily.