Prices for US Bank Index including live quotes, historical charts and news. US Bank Index was last updated by Trading Economics this December 2 of 2025.

Stock prices of selected regional banks in the United States plummeted in March 2023, as investor confidence dropped due to economic uncertainties. Silicon Valley Bank failed on 10th of March 2023. The stock prices of the displayed banks fell particularly sharply on and after that day, which was the second largest bank failure since 2001. The observed period was particularly devastating for First Republic, whose stock price was more than ** percent lower on the 20th of March than on the first day of the month.

Graph and download economic data for Monetary Authority; Federal Reserve Bank Stock; Liability, Transactions (MAFRBLA027N) from 1946 to 2024 about monetary authorities, stocks, IMA, transactions, liabilities, banks, depository institutions, and USA.

As of January 14, 2025, the market capitalization of ************** amounted to ****** billion U.S. dollars, making it the largest bank in the United States. By this measure, the second-largest bank was ***************, followed by ***********. ************** and *************** are 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 Dataset contains the Stock prices of Bank of America Company the opening price, closing price, low price etc.. Use these Data and Predict the Stock Prices for upcoming years. Available timeframes: Monthly(MN1), Weekly(W1), Daily(D1), 4-Hourly(H4), Hourly(H1), 30-Minutes(M30), 15-Minutes(M15), 10-Minutes(M10), 5-Minutes(M5).

Bank of America D1 Daily timeframe

   datetime  open  high  low close  volume
0 1998-01-02 30.19 30.50 29.73 30.38 2089631
1 1998-01-05 31.65 31.78 30.87 31.22 5821768
2 1998-01-06 31.68 31.76 30.65 30.81 8081564
3 1998-01-07 31.69 31.98 30.25 31.00 8945955
4 1998-01-08 30.48 31.36 30.25 30.69 9085504


... ... ... ... ... ... ... ...

  datetime  open  high  low close  volume


6634 2024-03-08 35.62 36.13 35.50 35.59 38412259
6635 2024-03-09 35.60 35.61 35.59 35.60  3632079
6636 2024-03-11 35.39 35.93 35.27 35.89 29377764
6637 2024-03-12 35.90 36.15 35.78 35.96 24420397
6638 2024-03-13 35.96 36.45 35.96 36.08 34379011

Bank of America H1 Hourly timeframe

       datetime  open  high  low close volume
0 1998-01-02 16:00:00 30.19 30.50 30.19 30.27 123618
1 1998-01-02 17:00:00 30.25 30.27 29.86 29.94 392911
2 1998-01-02 18:00:00 29.94 30.04 29.73 29.76 316560
3 1998-01-02 19:00:00 29.78 30.01 29.73 30.01 394851
4 1998-01-02 20:00:00 30.01 30.07 29.99 30.04 119012


... ... ... ... ... ... ... ...

       datetime  open  high  low close  volume


46741 2024-03-13 19:00:00 36.35 36.36 36.13 36.15 3342356
46742 2024-03-13 20:00:00 36.15 36.25 36.11 36.20 3289569
46743 2024-03-13 21:00:00 36.20 36.21 36.13 36.14 1942775
46744 2024-03-13 22:00:00 36.14 36.19 36.00 36.07 7260742
46745 2024-03-13 23:00:00 36.07 36.09 36.07 36.08 6681580

United States US: Stocks Traded: Total Value data was reported at 39,785.881 USD bn in 2017. This records a decrease from the previous number of 42,071.330 USD bn for 2016. United States US: Stocks Traded: Total Value data is updated yearly, averaging 17,934.293 USD bn from Dec 1984 (Median) to 2017, with 34 observations. The data reached an all-time high of 47,245.496 USD bn in 2008 and a record low of 1,108.421 USD bn in 1984. United States US: Stocks Traded: Total Value data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s United States – Table US.World Bank.WDI: Financial Sector. The value of shares traded is the total number of shares traded, both domestic and foreign, multiplied by their respective matching prices. Figures are single counted (only one side of the transaction is considered). Companies admitted to listing and admitted to trading are included in the data. Data are end of year values converted to U.S. dollars using corresponding year-end foreign exchange rates.; ; World Federation of Exchanges database.; Sum; Stock market data were previously sourced from Standard & Poor's until they discontinued their 'Global Stock Markets Factbook' and database in April 2013. Time series have been replaced in December 2015 with data from the World Federation of Exchanges and may differ from the previous S&P definitions and methodology.

Graph and download economic data for Monetary Authority; Federal Reserve Bank Stock; Liability, Transactions (BOGZ1FU713164003A) from 1946 to 2024 about monetary authorities, stocks, transactions, liabilities, banks, depository institutions, and USA.

The price of Bank of America shares traded on the New York Stock Exchange fluctuated significantly during the period from 1990 to 2023, as of year-end. The price of one Bank of America share amounted to ***** U.S. dollars in 2021, which was the highest price since 2006. At the end of 2022, however, the share price dropped to ***** U.S. dollars, a significant decrease compared to a year earlier. At the end of 2023, the share price of the bank was ***** U.S. dollars.

Dataset

This dataset was created by Ranjit Mishra

Released under CC0: Public Domain

Contents

Bank of America (BAC) Historical Stock Prices (1978-2025)

Description:

This dataset provides daily historical stock price data for Bank of America (ticker: BAC) from March 1, 1978, to January 31, 2025. The data includes opening, high, low, closing, and adjusted closing prices, along with trading volume.

Columns:

Date: Trading date (1978-03-01).

Open: Opening price of the stock.

High: Highest price during the trading day.

Low: Lowest price during the trading day.

Close: Closing price of the stock.

Adj Close: Adjusted closing price, accounting for corporate actions (e.g., splits, dividends).

Volume: Number of shares traded during the day.

Key Notes:

Date Range Anomaly: The dataset includes dates up to January 31, 2025, which appears to be a placeholder for future data. Users should verify the latest entries.

Price Format: Prices are recorded in fractions (e.g., 1.453125), reflecting historical stock price conventions.

Missing/Zero Values: Some Open values are listed as 0.0, likely indicating non-trading days (e.g., weekends, holidays) or data gaps.

Adjusted Close: Adjusted for splits and dividends to reflect accurate historical performance.

Potential Use Cases:

Technical Analysis: Study trends, moving averages, or volatility.

Machine Learning: Train models to predict stock movements.

Historical Research: Analyze long-term performance and market cycles.

Backtesting: Validate trading strategies using historical data.

Dataset Source:

Data is compiled from historical market records. Adjusted close prices are calculated retroactively to ensure consistency.

License: Public Domain (CC0).

Suggested Citation: "Bank of America (BAC) Historical Stock Prices, 1978-2025."

Kaggle Tags:

finance, stocks, historical-data, banking, time-series-analysis

Acknowledgments:

This dataset is intended for educational and research purposes. Always verify data accuracy before making financial decisions.

More Dataset

This dataset is scrape by Muhammad Atif Latif.

If you want to explore more datasets then CLICK HERE

View quarterly updates and historical trends for US Banks Common Stock. from United States. Source: Federal Deposit Insurance Corporation. Track economic …

Graph and download economic data for Monetary Authority; Federal Reserve Bank Stock; Liability, Transactions (MAFRBLQ027S) from Q4 1946 to Q2 2025 about monetary authorities, stocks, IMA, transactions, liabilities, banks, depository institutions, and USA.

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.

The US_Stock_Data.csv dataset offers a comprehensive view of the US stock market and related financial instruments, spanning from January 2, 2020, to February 2, 2024. This dataset includes 39 columns, covering a broad spectrum of financial data points such as prices and volumes of major stocks, indices, commodities, and cryptocurrencies. The data is presented in a structured CSV file format, making it easily accessible and usable for various financial analyses, market research, and predictive modeling. This dataset is ideal for anyone looking to gain insights into the trends and movements within the US financial markets during this period, including the impact of major global events.

Key Features and Data Structure

The dataset captures daily financial data across multiple assets, providing a well-rounded perspective of market dynamics. Key features include:

• Commodities: Prices and trading volumes for natural gas, crude oil, copper, platinum, silver, and gold.
• Cryptocurrencies: Prices and volumes for Bitcoin and Ethereum, including detailed 5-minute interval data for Bitcoin.
• Stock Market Indices: Data for major indices such as the S&P 500 and Nasdaq 100.
• Individual Stocks: Prices and volumes for major companies including Apple, Tesla, Microsoft, Google, Nvidia, Berkshire Hathaway, Netflix, Amazon, and Meta.

The dataset’s structure is designed for straightforward integration into various analytical tools and platforms. Each column is dedicated to a specific asset's daily price or volume, enabling users to perform a wide range of analyses, from simple trend observations to complex predictive models. The inclusion of intraday data for Bitcoin provides a detailed view of market movements.

Applications and Usability

This dataset is highly versatile and can be utilized for various financial research purposes:

• Market Analysis: Track the performance of key assets, compare volatility, and study correlations between different financial instruments.
• Risk Assessment: Analyze the impact of commodity price movements on related stock prices and evaluate market risks.
• Educational Use: Serve as a resource for teaching market trends, asset correlation, and the effects of global events on financial markets.

The dataset’s daily updates ensure that users have access to the most current data, which is crucial for real-time analysis and decision-making. Whether for academic research, market analysis, or financial modeling, the US_Stock_Data.csv dataset provides a valuable foundation for exploring the complexities of financial markets over the specified period.

Acknowledgements:

This dataset would not be possible without the contributions of Dhaval Patel, who initially curated the US stock market data spanning from 2020 to 2024. Full credit goes to Dhaval Patel for creating and maintaining the dataset. You can find the original dataset here: US Stock Market 2020 to 2024.

Common-Stock-Shares-Outstanding Time Series for U.S. Bancorp. U.S. Bancorp, a financial services holding company, provides various financial services to individuals, businesses, institutional organizations, governmental entities, and other financial institutions in the United States. The company operates through Wealth, Corporate, Commercial and Institutional Banking; Consumer and Business Banking; Payment Services; and Treasury and Corporate Support segments. It offers depository services, including checking accounts, savings accounts, and time certificate contracts; and lending services, such as traditional credit products and credit card services, lease financing and import/export trade, asset-backed lending, agricultural finance, and other products. The company also provides cash management, capital markets, and trust and investment management services; and ancillary services comprising capital markets, treasury management, and receivable lock-box collection services to corporate and governmental entity customers. In addition, it offers asset management and fiduciary services for individuals, estates, foundations, business corporations, and charitable organizations; and investment and insurance products to its customers principally within its domestic markets, as well as fund administration services to mutual and other funds. Further, the company provides corporate and purchasing card, and corporate trust services; and credit card services, merchant and ATM processing, mortgage banking, insurance, brokerage and leasing services. U.S. Bancorp was founded in 1863 and is headquartered in Minneapolis, Minnesota.

United States US: Stocks Traded: Total Value: % of GDP data was reported at 205.181 % in 2017. This records a decrease from the previous number of 225.893 % for 2016. United States US: Stocks Traded: Total Value: % of GDP data is updated yearly, averaging 155.485 % from Dec 1984 (Median) to 2017, with 34 observations. The data reached an all-time high of 320.992 % in 2008 and a record low of 27.431 % in 1984. United States US: Stocks Traded: Total Value: % of GDP data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s United States – Table US.World Bank.WDI: Financial Sector. The value of shares traded is the total number of shares traded, both domestic and foreign, multiplied by their respective matching prices. Figures are single counted (only one side of the transaction is considered). Companies admitted to listing and admitted to trading are included in the data. Data are end of year values.; ; World Federation of Exchanges database.; Weighted average; Stock market data were previously sourced from Standard & Poor's until they discontinued their 'Global Stock Markets Factbook' and database in April 2013. Time series have been replaced in December 2015 with data from the World Federation of Exchanges and may differ from the previous S&P definitions and methodology.

United States US: Stocks Traded: Turnover Ratio of Domestic Shares data was reported at 116.078 % in 2017. This records an increase from the previous number of 94.719 % for 2016. United States US: Stocks Traded: Turnover Ratio of Domestic Shares data is updated yearly, averaging 114.857 % from Dec 1984 (Median) to 2017, with 34 observations. The data reached an all-time high of 407.630 % in 2008 and a record low of 51.444 % in 1991. United States US: Stocks Traded: Turnover Ratio of Domestic Shares data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s United States – Table US.World Bank.WDI: Financial Sector. Turnover ratio is the value of domestic shares traded divided by their market capitalization. The value is annualized by multiplying the monthly average by 12.; ; World Federation of Exchanges database.; Weighted average; Stock market data were previously sourced from Standard & Poor's until they discontinued their 'Global Stock Markets Factbook' and database in April 2013. Time series have been replaced in December 2015 with data from the World Federation of Exchanges and may differ from the previous S&P definitions and methodology.

Stock Data of Top USA Companies: Apple, Tesla, Amazon

👨‍💻 Author: Azhar Saleem

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Dataset Description

This dataset provides daily stock data for some of the top companies in the USA stock market, including major players like Apple, Microsoft, Amazon, Tesla, and others. The data is collected from Yahoo Finance, covering each company’s historical data from its starting date until today. This comprehensive dataset enables in-depth analysis of key financial indicators and stock trends for each company, making it valuable for multiple applications.

Column Descriptions

The dataset contains the following columns, consistent across all companies:

• Date: The date of the stock data entry.
• Open: The stock's opening price for the day.
• High: The highest price reached during the trading day.
• Low: The lowest price during the trading day.
• Close: The stock’s closing price for the day.
• Volume: The total number of shares traded on that day.
• Dividends: Any dividends paid out on that day.
• Stock Splits: Records stock split events, if any, on that day.

Potential Use Cases

1. Machine Learning & Deep Learning:

   • Stock Price Prediction: Use historical prices to train models for forecasting future stock prices.
   • Sentiment Analysis and Price Correlation: Combine with external sentiment data to predict price movements based on market sentiment.
   • Anomaly Detection: Detect unusual price patterns or volume spikes using classification algorithms.

2. Data Science:

   • Trend Analysis: Identify long-term trends for each company or compare trends between companies.
   • Volatility Analysis: Calculate volatility to assess risk and return patterns over time.
   • Correlation Analysis: Compare stock performance across companies to study market relationships.

3. Data Analysis:

   • Historical Performance: Review historical data to understand growth trends, market impact of stock splits, and dividends.
   • Seasonal Patterns: Analyze data for seasonal trends or recurring patterns across years.
   • Investment Strategy Backtesting: Test various investment strategies based on historical data to assess potential profitability.

4. Financial Research:

   • Economic Impact Studies: Investigate how major events affected stock prices across top companies.
   • Sector-Specific Analysis: Identify performance differences across sectors, such as tech, healthcare, and retail.

This dataset is a powerful tool for analysts, researchers, and financial enthusiasts, offering versatility across multiple domains from stock analysis to algorithmic trading models.

In 2025, ** percent of adults in the United States invested in the stock market. This figure has remained steady over the last few years and is still below the levels before the Great Recession, when it peaked in 2007 at ** percent. What is the stock market? The stock market can be defined as a group of stock exchanges where investors can buy shares in a publicly traded company. In more recent years, it is estimated an increasing number of Americans are using neobrokers, making stock trading more accessible to investors. Other investments A significant number of people think stocks and bonds are the safest investments, while others point to real estate, gold, bonds, or a savings account. Since witnessing the significant one-day losses in the stock market during the financial crisis, many investors were turning towards these alternatives in hopes for more stability, particularly for investments with longer maturities. This could explain the decrease in this statistic since 2007. Nevertheless, some speculators enjoy chasing the short-run fluctuations, and others see value in choosing particular stocks.

Graph and download economic data for Monetary Authority; Federal Reserve Bank Stock; Liability, Transactions (BOGZ1FU713164003Q) from Q4 1946 to Q2 2025 about monetary authorities, stocks, transactions, liabilities, banks, depository institutions, and USA.