The latest closing stock price for Capital City Bank Group as of May 09, 2025 is 37.59. An investor who bought $1,000 worth of Capital City Bank Group stock at the IPO in 1994 would have $10,547 today, roughly 11 times their original investment - a 8.21% compound annual growth rate over 31 years. The all-time high Capital City Bank Group stock closing price was 39.34 on December 11, 2024. The Capital City Bank Group 52-week high stock price is 40.86, which is 8.7% above the current share price. The Capital City Bank Group 52-week low stock price is 25.45, which is 32.3% below the current share price. The average Capital City Bank Group stock price for the last 52 weeks is 34.28. For more information on how our historical price data is adjusted see the Stock Price Adjustment Guide.

The latest closing stock price for Provident Bancorp as of May 09, 2025 is 11.01. An investor who bought $1,000 worth of Provident Bancorp stock at the IPO in 2015 would have $780 today, roughly 1 times their original investment - a 5.93% compound annual growth rate over 10 years. The all-time high Provident Bancorp stock closing price was 19.94 on November 16, 2021. The Provident Bancorp 52-week high stock price is 12.96, which is 17.7% above the current share price. The Provident Bancorp 52-week low stock price is 9.09, which is 17.4% below the current share price. The average Provident Bancorp stock price for the last 52 weeks is 10.93. For more information on how our historical price data is adjusted see the Stock Price Adjustment Guide.

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.

U.S. Bank's (USB) Banking on Growth: Worth the Investment?

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

Bank Ozk reported 3.02B in Current Assets for its fiscal quarter ending in December of 2024. Data for Bank Ozk | OZK - Current Assets including historical, tables and charts were last updated by Trading Economics this last March in 2025.

Bank Of New York Mellon reported 334.32B in Current Liabilities for its fiscal quarter ending in December of 2024. Data for Bank Of New York Mellon | BK - Current Liabilities including historical, tables and charts were last updated by Trading Economics this last June in 2025.

The latest closing stock price for MainStreet Bank as of June 04, 2025 is 18.46. An investor who bought $1,000 worth of MainStreet Bank stock at the IPO in 2005 would have $649 today, roughly 1 times their original investment - a 2.53% compound annual growth rate over 20 years. The all-time high MainStreet Bank stock closing price was 28.28 on February 21, 2023. The MainStreet Bank 52-week high stock price is 20.88, which is 13.1% above the current share price. The MainStreet Bank 52-week low stock price is 15.00, which is 18.7% below the current share price. The average MainStreet Bank stock price for the last 52 weeks is 17.55. For more information on how our historical price data is adjusted see the Stock Price Adjustment Guide.

The latest closing stock price for Camden National as of May 08, 2025 is 40.23. An investor who bought $1,000 worth of Camden National stock at the IPO in 1997 would have $9,131 today, roughly 9 times their original investment - a 8.62% compound annual growth rate over 28 years. The all-time high Camden National stock closing price was 48.53 on November 06, 2024. The Camden National 52-week high stock price is 50.07, which is 24.5% above the current share price. The Camden National 52-week low stock price is 30.78, which is 23.5% below the current share price. The average Camden National stock price for the last 52 weeks is 40.03. For more information on how our historical price data is adjusted see the Stock Price Adjustment Guide.

The latest closing stock price for Dime Community Bancshares as of May 08, 2025 is 26.57. An investor who bought $1,000 worth of Dime Community Bancshares stock at the IPO in 1995 would have $29,036 today, roughly 29 times their original investment - a 12.01% compound annual growth rate over 30 years. The all-time high Dime Community Bancshares stock closing price was 35.95 on December 04, 2024. The Dime Community Bancshares 52-week high stock price is 37.60, which is 41.5% above the current share price. The Dime Community Bancshares 52-week low stock price is 17.49, which is 34.2% below the current share price. The average Dime Community Bancshares stock price for the last 52 weeks is 27.21. For more information on how our historical price data is adjusted see the Stock Price Adjustment Guide.

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.

Which banks are in danger of failing?

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

Community Bank System reported 197M in Current Assets for its fiscal quarter ending in December of 2024. Data for Community Bank System | CBU - Current Assets including historical, tables and charts were last updated by Trading Economics this last June in 2025.

The latest closing stock price for First National as of May 28, 2025 is 20.62. An investor who bought $1,000 worth of First National stock at the IPO in 1996 would have $834 today, roughly 1 times their original investment - a 2.11% compound annual growth rate over 29 years. The all-time high First National stock closing price was 26.49 on February 06, 2025. The First National 52-week high stock price is 26.97, which is 30.8% above the current share price. The First National 52-week low stock price is 14.75, which is 28.5% below the current share price. The average First National stock price for the last 52 weeks is 20.37. For more information on how our historical price data is adjusted see the Stock Price Adjustment Guide.

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.

Community Trust (CTBI) Analysts Predict Steady Growth for Regional Bank 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

Independent Bank PE ratio as of June 04, 2025 is 9.53. Current and historical p/e ratio for Independent Bank (IBCP) from 2010 to 2025. The price to earnings ratio is calculated by taking the latest closing price and dividing it by the most recent earnings per share (EPS) number. The PE ratio is a simple way to assess whether a stock is over or under valued and is the most widely used valuation measure. Please refer to the Stock Price Adjustment Guide for more information on our historical prices.

M&T Bank reported 166.47B in Current Liabilities for its fiscal quarter ending in December of 2024. Data for M&T Bank | MTB - Current Liabilities including historical, tables and charts were last updated by Trading Economics this last March in 2025.

Avanza Bank reported 37.16B in Current Assets for its fiscal quarter ending in December of 2024. Data for Avanza Bank | AZA - Current Assets including historical, tables and charts were last updated by Trading Economics this last March in 2025.

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.

BAC^P Bank of America Corporation Depositary Shares each representing a 1/1000th interest in a share of 4.125% Non-Cumulative Preferred Stock Series PP

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

Preferred Bank reported 85.69M in Current Assets for its fiscal quarter ending in September of 2024. Data for Preferred Bank | PFBC - Current Assets including historical, tables and charts were last updated by Trading Economics this last May in 2025.

The most recent stock split for Valley National Bancorp (VLY) was a 1.1:1 split on May 9, 2012. The combined total of all historical stock splits for Valley National Bancorp result in 16.657006824194 current shares for every original share available at the IPO in 1984.

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.

ICICI Bank's (IBN) Next Move: Up or Down?

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

City Bank market cap as of June 06, 2025 is $0B. City Bank market cap history and chart from 2010 to 2010. Market capitalization (or market value) is the most commonly used method of measuring the size of a publicly traded company and is calculated by multiplying the current stock price by the number of shares outstanding.