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Microsoft Stock Market Performance
Stock & Market Data
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About
This dataset provides a time series analysis of Microsoft Corporation (MSFT) stock, offering historical stock information collected from 1st April 2015 to 31st March 2021. It serves as a valuable resource for financial analysis, allowing users to conduct basic exploratory data analysis (EDA) and apply predictive analysis techniques to forecast future stock movements.
Columns
- Date: The specific date for which the stock data is recorded.
- Open: The opening price of Microsoft stock on the given date.
- High: The highest trading price of Microsoft stock reached during that day.
- Low: The lowest trading price of Microsoft stock recorded during that day.
- Close: The closing price of Microsoft stock at the end of the trading day.
- Volume: The total number of Microsoft shares traded on that particular day.
Distribution
The dataset is provided in CSV (Comma Separated Values) format, named
Microsoft_Stock.csv, and has a file size of 81.7 kB. It contains 1511 records (rows) of daily Microsoft stock data, covering the period from 2015-04-01 to 2021-03-31. There are no missing or mismatched values across any of the columns.Usage
This dataset is ideal for a variety of applications, including:
- Basic Exploratory Data Analysis (EDA): Understanding trends, patterns, and anomalies in Microsoft's stock performance over time.
- Predictive Analysis: Developing models to forecast future stock prices or identify potential investment opportunities.
- Financial Market Research: Studying market behaviour and the dynamics of a major technology stock.
- Educational Purposes: Providing a practical dataset for students learning about time series analysis, data science, or finance.
Coverage
The dataset covers Microsoft stock information globally, with a time range spanning six years, specifically from 1st April 2015 to 31st March 2021. There are no specific demographic scopes as it pertains to financial market data.
License
CC0: Public Domain
Who Can Use It
This dataset is particularly suitable for:
- Beginner Data Analysts: To practise data cleaning, manipulation, and visualisation.
- Financial Researchers: For quantitative analysis of stock market trends and company performance.
- Students: Working on projects related to time series forecasting, financial modelling, or data science.
- Data Scientists: To build and test predictive models for stock price movements.
Dataset Name Suggestions
- Microsoft Daily Stock Prices (2015-2021)
- MSFT Historical Time Series Data
- Microsoft Stock Market Performance
- Microsoft Share Price History
Attributes
Original Data Source: Microsoft Stock Market Performance
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