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Decade of Alibaba Stock Market Data
Stock & Market Data
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About
This dataset offers historical stock price data for Alibaba Group (NYSE: BABA), spanning a decade from 2014 to 2025. It captures key financial metrics such as opening and closing prices, daily highest and lowest trading values, trading volume, and adjusted closing prices. This collection of data is valuable for understanding Alibaba's stock movements over time.
Columns
- Date: The specific trading date, presented in YYYY-MM-DD format.
- Open: The stock price at the market's opening on the given trading day.
- High: The highest stock price recorded during the trading day.
- Low: The lowest stock price recorded during the trading day.
- Close: The stock price at the market's close on the given trading day.
- Adj Close: The adjusted closing price, which accounts for corporate actions like stock splits and dividends.
- Volume: The total number of shares traded on that particular day.
Distribution
The dataset is supplied in a CSV format. It features 7 columns and contains 2617 valid records. The file size is approximately 204.64 kB. There are no mismatched or missing values within the dataset.
Usage
This dataset is ideal for various applications, including:
- Time Series Analysis: For predicting future stock trends using machine learning models.
- Technical Analysis: For identifying potential trading opportunities based on past price patterns.
- Algorithmic Trading: For developing automated trading strategies and models.
- EDA & Visualisation: For analysing stock price movements and generating insights.
Coverage
The dataset covers a significant time period, commencing on January 1, 2014, and extending up to February 2025, which represents the latest available data. It specifically focuses on the stock performance of Alibaba Group (NYSE: BABA).
License
CC0: Public Domain
Who Can Use It
This dataset is suitable for:
- Data Scientists and Machine Learning Engineers: For building and testing predictive models for stock prices.
- Financial Analysts and Researchers: For studying market trends and Alibaba's historical performance.
- Quantitative Traders: For developing and back-testing algorithmic trading strategies.
- Students and Educators: For learning about financial markets, time series analysis, and data visualisation.
Dataset Name Suggestions
- Alibaba Stock Performance Data (2014-2025)
- BABA Historical Stock Price Data
- Alibaba Group Share Price Analysis
- Decade of Alibaba Stock Market Data
Attributes
Original Data Source: Decade of Alibaba Stock Market Data
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