The main stock market index of United States, the US500, rose to 6327 points on July 23, 2025, gaining 0.27% from the previous session. Over the past month, the index has climbed 3.85% and is up 16.57% compared to the same time last year, 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 July of 2025.

Using the MSCI emerging markets index, stock markets in emerging economies performed above those of developed economies in 2020, with an annual return of 18.31 percent. This compares to a 2020 annual return of 15.9 percent for the MSCI World Index, which tracks the stock markets of 23 developed economies.

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.

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.

Stock market return (%, year-on-year) in Sweden was reported at 29.59 % in 2021, according to the World Bank collection of development indicators, compiled from officially recognized sources. Sweden - Stock market return (%, year-on-year) - actual values, historical data, forecasts and projections were sourced from the World Bank on July of 2025.

Stock market return (%, year-on-year) in Denmark was reported at 31.18 % in 2021, according to the World Bank collection of development indicators, compiled from officially recognized sources. Denmark - Stock market return (%, year-on-year) - actual values, historical data, forecasts and projections were sourced from the World Bank on July of 2025.

Austria: Stock market return, percent: The latest value from 2021 is 42.3 percent, an increase from -20.47 percent in 2020. In comparison, the world average is 32.21 percent, based on data from 87 countries. Historically, the average for Austria from 1987 to 2021 is 7.83 percent. The minimum value, -36.45 percent, was reached in 2009 while the maximum of 71.89 percent was recorded in 1990.

Luxembourg: Stock market return, percent: The latest value from 2021 is 42.2 percent, an increase from -18.09 percent in 2020. In comparison, the world average is 32.21 percent, based on data from 87 countries. Historically, the average for Luxembourg from 2000 to 2021 is 4.54 percent. The minimum value, -38.03 percent, was reached in 2009 while the maximum of 48.02 percent was recorded in 2000.

In this article, the author shows that, if stock volatility follows an AR(1) process, stock market returns relate positively to past volatility but relate negatively to contemporaneous volatility in Merton's (1973) Intertemporal Capital Asset Pricing Model. The model helps explain the recent finding that stock market volatility drives out returns in forecasting real gross domestic product growth because the predictive power of returns is hampered by their positive correlation with past volatility. If the positive relation between returns and past volatility is controlled for, however, the author finds that volatility provides no additional information beyond returns in forecasting output in the post-World War II sample.

The average for 2021 based on 87 countries was 32.21 percent. The highest value was in Venezuela: 991.39 percent and the lowest value was in Botswana: -6.38 percent. The indicator is available from 1984 to 2021. Below is a chart for all countries where data are available.

Stock market return (%, year-on-year) in Mexico was reported at 26.44 % in 2021, according to the World Bank collection of development indicators, compiled from officially recognized sources. Mexico - Stock market return (%, year-on-year) - actual values, historical data, forecasts and projections were sourced from the World Bank on July of 2025.

Estonia: Stock market return, percent: The latest value from 2021 is 43.16 percent, an increase from -3.07 percent in 2020. In comparison, the world average is 32.21 percent, based on data from 87 countries. Historically, the average for Estonia from 1997 to 2021 is 18.77 percent. The minimum value, -41.38 percent, was reached in 1998 while the maximum of 173.71 percent was recorded in 1997.

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

Stock market return (%, year-on-year) in Czech Republic was reported at 29.28 % in 2021, according to the World Bank collection of development indicators, compiled from officially recognized sources. Czech Republic - Stock market return (%, year-on-year) - actual values, historical data, forecasts and projections were sourced from the World Bank on June of 2025.

The average for 2021 based on 8 countries was 18.93 percent. The highest value was in Nigeria: 47.63 percent and the lowest value was in Botswana: -6.38 percent. The indicator is available from 1984 to 2021. Below is a chart for all countries where data are available.

This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.

The first 100 days of President Trump's second term were the worst for the S&P 500 index compared to any U.S. President since 1949. Between January 20 - the day of President Trump's inauguration - and April 30, 2025, the S&P 500 fell by *** percent. On the other hand, in the first 100 days of President Biden, in 2021, the index experienced the highest increase of **** percent.

ABSTRACT The purpose of this article was to develop a new indicator to estimate the aggregate long-term expected return on stocks. There is not a widely used method to model directly the aggregated expected return of the stock market. Most current methods use indirect approaches. We developed a new indicator that does not need an econometric model to generate expected returns and provides an estimate of the long-term expected returns. The proposed methodology can be used to develop an indicator of future returns of the stock market similar to the yield-to-maturity used for bonds. We used a restricted one-stage constant-growth model - a variant of the residual income model (RIM) - whose main input is the duration of companies’ competitive advantage and cyclical adjusted real return on invested capital (ROIC) with a 10-year average. We used a new methodology to develop an indicator of the long-term expected return on the equity market at the aggregate level, considering the duration of the competitive advantage of companies. Our results showed a strong correlation between the estimated implied return on equity (IRE) of current stock prices and realized returns of the 10-year real total return of the index.

Overview

This dataset contains historical daily prices for all tickers currently trading on NASDAQ. The up to date list is available from nasdaqtrader.com. The historic data is retrieved from Yahoo finance via yfinance python package.

It contains prices for up to 01 of April 2020. If you need more up to date data, just fork and re-run data collection script also available from Kaggle.

Data Structure

The date for every symbol is saved in CSV format with common fields:

• Date - specifies trading date
• Open - opening price
• High - maximum price during the day
• Low - minimum price during the day
• Close - close price adjusted for splits
• Adj Close - adjusted close price adjusted for both dividends and splits.
• Volume - the number of shares that changed hands during a given day

All that ticker data is then stored in either ETFs or stocks folder, depending on a type. Moreover, each filename is the corresponding ticker symbol. At last, symbols_valid_meta.csv contains some additional metadata for each ticker such as full name.

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