End-of-day prices refer to the closing prices of various financial instruments, such as equities (stocks), bonds, and indices, at the end of a trading session on a particular trading day. These prices are crucial pieces of market data used by investors, traders, and financial institutions to track the performance and value of these assets over time. The Techsalerator closing prices dataset is considered the most up-to-date, standardized valuation of a security trading commences again on the next trading day. This data is used for portfolio valuation, index calculation, technical analysis and benchmarking throughout the financial industry. The End-of-Day Pricing service covers equities, equity derivative bonds, and indices listed on 170 markets worldwide.

Prices for Euro Area Stock Market Index (EU600) including live quotes, historical charts and news. Euro Area Stock Market Index (EU600) was last updated by Trading Economics this March 19 of 2025.

While nearly every country in Europe has a stock exchange, only five are considered major, and have a market capital of over one trillion U.S dollars. European stock exchanges make up two of the top ten global major stock markets. Europe’s biggest stock exchange is the Euronext which combines five markets based in Amsterdam, Brussels, Dublin, Lisbon, London, Oslo and Paris. Euronext The Euronext Stock Exchange saw a significant increase in total market capitalization between 2021 and 2022, before increasing again during 2023. As of March 2024, the luxury goods company LVMH Moët Hennessy Louis Vuitton was the largest company listed on the Euronext Stock Exchange in terms of market capitalization. Globally, the Euronext Stock Exchange is the fourth largest. London Stock Exchange The London Stock Exchange (LSE) was the second largest stock exchange in Europe and ninth globally in terms of market capitalization of domestic listed companies. As of May 2024, there were 1,775 companies trading on the LSE with the LSE's combined market capitalization amounting to approximately 3.86 trillion British pounds during the same period.

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.

Prices for Euro Area Stock Market Index (Euronext 100) including live quotes, historical charts and news. Euro Area Stock Market Index (Euronext 100) was last updated by Trading Economics this March 27 of 2025.

Stock prices of the largest European banks fell sharply in March 2023, as the collapse of Silicon Valley Bank and First Republic in the U.S. crumbled confidence in the sector. Shortly after the second and third largest U.S. bank failures, Credit Suisse went under, which pushed the stock prices of leading European banks down further. Towards the end of the month, stock prices increased notably, but remained well below prices at the start of March.

Graph and download economic data for Share Prices: All Shares/Broad: Total for Euro Area (19 Countries) (SPASTT01EZM657N) from Jan 1987 to Feb 2025 about Euro Area, stock market, and Europe.

While nearly every country in Europe has a stock exchange, only five are considered major, and have a market capital of over one trillion U.S dollars. European stock exchanges make up two of the top ten global major stock markets. Europe’s biggest stock exchanges are the Euronext which combines five markets, and the London Stock Exchange. Since the Covid-19 outbreak all of Europe’s largest exchanges all saw large drops in total market capital value between January and March 2020. Since March, all major stock exchanges in Europe have been in recovery. Coronavirus First reported from Wuhan, China, on 31 December 2019, the Coronavirus disease (COVID-19) has massively affected stock exchanges and the financial sector globally. Approximately 210 countries and territories worldwide have been affected by the COVID-19 virus. Euronext As Europe’s largest stock exchange, Euronext consists of the Amsterdam, Brussels, Dublin, Lisbon and Paris stock markets. As of the end of 2022, companies trading on the Euronext stock exchange had a combined market capitalization of approximately seven trillion euros.

This paper examines whether variations in demographic structure have influenced stock prices. The study employs a nonparametric approach based on the Fourier Flexible Form representation, which relates variations in the entire age distribution to the normalized stock price under a flexible functional form. The main findings of this paper are that there is a significant impact from prime working-age consumers on the stock price, and that this impact is robust for all G5 countries (France, Germany, Japan, the UK and the USA). These findings survive many robust tests, and are consistent with the predictions from the life-cycle models.

FIDA data research team provides detailed and comprehensive information on European and US Funds and ETF. Our customer support team relies on direct contacts with European and US Asset Managers, to provide our clients a with very thorough and reactive service, to help them with any question they have on any specific instruments or securities.

European Seeds and Planting Stock Real Price Index for Agriculture by Country, 2022 Discover more data with ReportLinker!

This statistic shows the share price of Coca-Cola European Partners, trading on the New York Stock Exchange (NYSE) from the first quarter of 2016 to the last quarter of 2022. As of December 30, 2022, the share price of CCEP on NYSE amounted to 55.32 U.S. dollars.

This paper studies the heterogeneous effects of exchange rate and stock market on carbon emission allowance price in four emissions trading scheme pilots in China. We employ a panel quantile regression model, which can describe both individual and distributional heterogeneity. The empirical results illustrate that the effects of explanatory variables on carbon emission allowance price is heterogeneous along the whole quantiles. Specifically, exchange rate has a negative effect on carbon emission allowance price at lower quantiles, while becomes a positive effect at higher quantiles. In addition, a negative effect exists between domestic stock market and carbon emission allowance price, and the intensity decreasing along with the increase of quantile. By contrast, an increasing positive effect is discovered between European stock market and domestic carbon emission allowance prices. Finally, heterogeneous effects on carbon emission allowance price can also be proved in European Union Emission Trading Scheme (EU-ETS).

We present a dataset on daily spot and forward prices of seven major Prussian railway companies’ stock as traded at Berlin Stock Exchange between 1875 and 1884. In late 1879, the Prussian state began to nationalize the entire railway system in its territory. Measured in railway kilometers owned by the state, most of it had been nationalized by the end of 1884. Our data cover the run-up to the nationalization of the Prussian railways and the important first five years of the process itself. There are only few studies having analyzed daily Berlin stock prices at all, and most of those do not focus on our period. Unlike monthly or weekly data, the daily data we provide open new research perspectives on the history of rail transport, financial markets, and public finances.

Euro Stoxx 50 faces potential short-term downside risks, with high probability of further declines towards medium-term support at 3,500-3,450. However, the index is likely to recover and rally to higher levels in the medium to long term.

This statistic shows the share price of Coca-Cola European Partners, trading from June 2016 on Madrid Stock Exchange (MADX), as of the end of June, September, December 2016 and March 2017, closing value. As of 31st of March 2017, the share price of CCEP on MADX amounted to 35.17 euros.

The main stock market index in Germany (DE40) increased 2823 points or 14.18% since the beginning of 2025, 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 March of 2025.

As of January 29, 2025, the FTSE index stood at 8,557.81 points - well above its average value of around 7,500 points in the past few years.On the 12th of March 2020, amid the escalating crisis surrounding the coronavirus and fears of a global recession, the FTSE 100 suffered the second largest one day crash in its history and the biggest since the 1987 market crash. On the 23rd of March, the FTSE index saw its lowest value this year to date at 4,993.89 but has since began a tentative recovery. With the continuation of the pandemic, the FTSE 100 index was making a tentative recovery between late March 2020 and early June 2020. Since then the FSTE 100 index had plateaued towards the end of July, before starting a tentative upward trend in November. FTSE 100 The Financial Times Stock Exchange 100 Index, otherwise known as the FTSE 100 Index is a share index of the 100 largest companies trading on the London Stock Exchange in terms of market capitalization. At the end of March 2024, the largest company trading on the LSE was Shell. The largest ever initial public offering (IPO) on the LSE was Glencore International plc. European stock exchanges While nearly every country in Europe has a stock exchange, only five are considered major, and have a market capital of over one trillion U.S dollars. European stock exchanges make up two of the top ten major stock markets in the world. Europe’s biggest stock exchange is the Euronext which combines seven markets based in Belgium, France, England, Ireland, the Netherlands, Norway, and Portugal.

The data set contains material to replicate: Beck K, Stanek P (2019) Globalization or regionalization of stock markets? The case of Central and Eastern European Countries. Eastern European Economics, 57(4), 317-330. doi: https://doi.org/10.1080/00128775.2019.1610895 The data comprises stock market returns time series at weekly frequency between January 2000 and December 2018 on 44 stock price indices grouped into 11 sets corresponding to (1) East Asian and Australian developed markets, (2) “Chinese” markets (including Taiwan and Hong Kong), (3) “core” euro area, (4) “peripheral” euro area, (5) developed European markets outside the euro area, (6) V-4 countries, (7) “frontier” European markets (Russia, Turkey, Ukraine), (8) Baltic countries, (9) Latin American markets, (10) North American markets and (11) emerging South-East Asian countries. Data were retrieved from stooq.com and in case of some missing points, for example, due to Chinese New Year celebrations, log-linear interpolation was applied.

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.

Euro Stoxx 50 Index: Navigating the European Economic Landscape?

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