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Major Bank Stock Market Analysis Dataset
Finance & Banking Analytics
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About
This dataset provides historical share prices for two of the largest investment banks in the USA, Goldman Sachs and JPMorgan Chase. It offers a valuable resource for analysing stock performance, market trends, and financial market dynamics for these systemically important financial institutions. The dataset's purpose is to enable in-depth financial analysis and research into the banking and investment sectors.
Columns
- Date: Represents the specific date for the recorded share price data. Dates range from 2000-05-02 to 2024-11-27.
- Price: The closing share price. Valid for 146 records, with a minimum of 433 and a maximum of 606. The mean price is 495 with a standard deviation of 41.6.
- Open: The opening share price for the trading day. Valid for 146 records, with values ranging from 431 to 609. The mean open price is 495 with a standard deviation of 41.9.
- High: The highest share price reached during the trading day. Valid for 146 records, with values from 434 to 612. The mean high price is 500 with a standard deviation of 42.4.
- Low: The lowest share price reached during the trading day. Valid for 146 records, with values from 428 to 603. The mean low price is 490 with a standard deviation of 41.1.
- Vol. (Volume): The trading volume, indicating the number of shares traded. It has 103 unique values with 146 valid records.
- Change %: The percentage change in share price. It has 123 unique values with 146 valid records.
Distribution
The dataset is typically provided in a CSV (Comma Separated Values) format. A sample file,
Goldman Sachs Stock Price History (02.05.2024-29.11.2024).csv, is available, measuring 9.62 kB. It comprises 7 columns and contains 146 records of data, with no mismatched or missing values identified in the sample.Usage
This dataset is ideal for a variety of applications, including:
- Financial market analysis and trend forecasting.
- Investment strategy development and back-testing.
- Econometric modelling, particularly regression analysis to predict stock movements.
- Academic research into banking sector performance and investment behaviour.
- Building dashboards and visualisations to track stock performance.
Coverage
The dataset covers the share prices of Goldman Sachs and JPMorgan Chase from 2000 up to May 2024. Goldman Sachs operates globally with headquarters in New York City and regional offices in London, Warsaw, Bangalore, Hong Kong, Tokyo, Dallas, and Salt Lake City. JPMorgan Chase is headquartered in New York City. The data primarily focuses on their financial performance as US-based entities. The included sample data covers a more recent period from 2 May 2024 to 27 November 2024 for Goldman Sachs. The dataset is expected to be updated annually.
License
CC0: Public Domain
Who Can Use It
This dataset is intended for a broad range of users, including:
- Financial analysts for market research and reporting.
- Investors seeking historical data for decision-making.
- Data scientists and machine learning engineers for building predictive models.
- Academics and students conducting research in finance, economics, or data science.
- Anyone interested in the historical performance of major financial institutions.
Dataset Name Suggestions
- Goldman Sachs & JPMorgan Chase Share Prices (2000-2024)
- US Investment Bank Stock Performance
- Financial Giants Share Price History
- Goldman Sachs JPMorgan Chase Stock Data
- Major Bank Stock Market Analysis Dataset
Attributes
Original Data Source: Major Bank Stock Market Analysis Dataset
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