Prices for US Bank Index including live quotes, historical charts and news. US Bank Index was last updated by Trading Economics this March 27 of 2025.

Prices for Euro Stoxx Banks including live quotes, historical charts and news. Euro Stoxx Banks was last updated by Trading Economics this March 20 of 2025.

Graph and download economic data for Volatility of Stock Price Index for Oman (DDSM01OMA066NWDB) from 1992 to 2021 about Oman, volatility, stocks, price index, indexes, and price.

Graph and download economic data for Volatility of Stock Price Index for Japan from 1984 to 2021 about volatility, stocks, Japan, price index, indexes, and price.

Graph and download economic data for Volatility of Stock Price Index for Romania (DISCONTINUED) (DDSM01ROA066NWDB) from 1999 to 2014 about Romania, volatility, stocks, price index, indexes, and price.

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.

Jordan Weighted Share Price Index: ASE: Annual: Banks data was reported at 8,335.208 Dec1991=1000 in 2017. This records a decrease from the previous number of 8,444.459 Dec1991=1000 for 2016. Jordan Weighted Share Price Index: ASE: Annual: Banks data is updated yearly, averaging 2,155.374 Dec1991=1000 from Dec 1978 (Median) to 2017, with 40 observations. The data reached an all-time high of 16,892.017 Dec1991=1000 in 2005 and a record low of 511.700 Dec1991=1000 in 1978. Jordan Weighted Share Price Index: ASE: Annual: Banks data remains active status in CEIC and is reported by Amman Stock Exchange. The data is categorized under Global Database’s Jordan – Table JO.Z003: Amman Stock Exchange: Weighted and Unweighted Share Price Index.

As of January 14, 2025, the market capitalization of JPMorgan Chase amounted to 688.68 billion U.S. dollars, making it the largest bank in the United States. By this measure, the second-largest bank was Bank of America, followed by Wells Fargo. JPMorgan Chase and Bank of America were also the two largest banks in the world by market capitalization. What is market capitalization? Market capitalization, or stock market value, is the total value of shares issued by a publicly traded company. It reflects the equity value of a company. Market cap is calculated by multiplying the market price of one share by the number of shares outstanding. For example, the market cap of Bank of America can be calculated by multiplying its share price by the number of shares it has issued. Other measures of company size Total assets also allow to determine the size of a bank. Instead of focusing on the stock price, this metric measures the size of the bank’s operations by counting the size of its balance sheet. Bank revenue and income are also common indicators used to compare banks and their performance.

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.

DB Deutsche Bank AG Common Stock

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

Japan TRI: Closing Price: Banks data was reported at 181.710 JPY in Apr 2020. This records an increase from the previous number of 174.200 JPY for Mar 2020. Japan TRI: Closing Price: Banks data is updated monthly, averaging 228.330 JPY from Apr 2011 (Median) to Apr 2020, with 109 observations. The data reached an all-time high of 324.970 JPY in May 2015 and a record low of 121.100 JPY in Nov 2011. Japan TRI: Closing Price: Banks data remains active status in CEIC and is reported by Japan Exchange Group. The data is categorized under Global Database’s Japan – Table JP.Z016: Tokyo Stock Exchange: Total Return Index.

The LuxX Price Index, the index of the nine biggest stocks on the Luxembourg Stock Exchange, saw its value decrease by over 600 points between February and March, 2020, due to economic uncertainties following the coronavirus pandemic. Since then the index has fluctuated significantly, reaching 1,620.1 points as of January 18, 2023 - above the values recorded in February 2020 of around 1,400 points.

Luxembourg is known to be an internationally minded financial hub. Of all banks located in the Grand Duchy, for example, only eight are from the country itself. When looking at the number of banks per country of origin, 22 come from Germany, with other banking institutions coming from, for example, China, France and Switzerland.

Graph and download economic data for Volatility of Stock Price Index for Jamaica (DDSM01JMA066NWDB) from 1990 to 2021 about Jamaica, volatility, stocks, price index, indexes, and price.

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.

Mercantile Bank Stock Forecast: A Strong Buy for the Savvy Investor (MBWM)

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

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.

Independent Bank Group (IBTX): Is This Undervalued Stock a Buy Today?

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

Hang Seng Bank stock price, live market quote, shares value, historical data, intraday chart, earnings per share and news.

The S&P/TSX Composite index (CAD) closed at 24,727.94 points at the end of 2024. This was an increase over the past year. What is the S&P/TSX Composite index? The S&P/TSX Composite index is a Canadian index that measures stocks on the Toronto Stock Exchange, one of the largest stock exchanges worldwide. A stock market index tracks the development of a group of stock prices. It allows to get a quick idea of economic climate in a given region. Canadian stock market The size of a stock exchange is basically the sum of market capitalizations of companies being traded on this stock exchange. The largest companies in terms of market capitalization in Canada in 2024 were the Royal Bank of Canada, and Toronto Dominion Bank. The total market capitalization of listed domestic companies in Canada equaled to 2.74 trillion U.S. dollars in 2022.

Graph and download economic data for Volatility of Stock Price Index for Slovenia (DDSM01SIA066NWDB) from 2003 to 2021 about Slovenia, volatility, stocks, price index, indexes, and price.

Jordan Weighted Share Price Index: ASE: Banks data was reported at 8,817.042 Dec1991=1000 in Jun 2018. This records a decrease from the previous number of 8,885.088 Dec1991=1000 for May 2018. Jordan Weighted Share Price Index: ASE: Banks data is updated monthly, averaging 7,171.496 Dec1991=1000 from Jan 1992 (Median) to Jun 2018, with 318 observations. The data reached an all-time high of 18,963.118 Dec1991=1000 in Nov 2005 and a record low of 943.188 Dec1991=1000 in Jul 1992. Jordan Weighted Share Price Index: ASE: Banks data remains active status in CEIC and is reported by Amman Stock Exchange. The data is categorized under Global Database’s Jordan – Table JO.Z003: Amman Stock Exchange: Weighted and Unweighted Share Price Index.

Myanmar Stock Price Index: Yangon Stock Exchange: Composite data was reported at 361.990 25Mar2016=1000 in Feb 2025. This records a decrease from the previous number of 372.220 25Mar2016=1000 for Jan 2025. Myanmar Stock Price Index: Yangon Stock Exchange: Composite data is updated monthly, averaging 419.290 25Mar2016=1000 from Mar 2016 (Median) to Feb 2025, with 108 observations. The data reached an all-time high of 1,258.060 25Mar2016=1000 in Mar 2016 and a record low of 334.280 25Mar2016=1000 in Jul 2022. Myanmar Stock Price Index: Yangon Stock Exchange: Composite data remains active status in CEIC and is reported by Central Bank of Myanmar. The data is categorized under Global Database’s Myanmar – Table MM.Z006: Stock Market. [COVID-19-IMPACT]

Bank Of China HK stock price, live market quote, shares value, historical data, intraday chart, earnings per share and news.