Dark Mode
WMT Daily Historical Trading Data
Stock & Market Data
Tags and Keywords
Trusted By
"No reviews yet"
Free
About
This collection offers an extensive look at Walmart Inc.'s trading history over a decade. It captures the daily movements of WMT stock prices, enabling detailed analysis of market trends, volatility, and trading activity. The primary significance of this data is its utility in training and evaluating time series prediction algorithms and understanding long-term corporate financial behaviour.
Columns
- Date: Records the specific calendar date of the trading day.
- Open: The price of the stock at the beginning of the trading day.
- High: The highest price the stock reached during that trading day.
- Low: The lowest price the stock reached during that trading day.
- Close: The final price of the stock at the closing bell of the trading day.
- Volume: Represents the total quantity of shares sold on the given trading day.
- Adj Close: The closing price adjusted to account for all relevant stock splits and dividend distributions.
Distribution
The dataset is typically provided in a tabular format, such as CSV (WMT.csv), with a size of approximately 177.57 kB. It contains 2516 observations (records) across 7 features (columns). All features are recorded as valid, showing 100% data availability with no missing or mismatched entries reported.
Usage
- Training and implementing advanced financial forecasting models, such as ARIMA or deep learning networks.
- Studying market efficiency and price correlation over long periods.
- Developing and backtesting algorithmic trading strategies.
- Conducting time series analysis of stock market volatility.
Coverage
The data covers daily stock performance for Walmart Inc. (WMT) over a period of approximately ten years, running from 16 November 2011 to 15 November 2021. The expected update frequency for this product is annually. The data represents US-based public trading activity.
License
CC0: Public Domain
Who Can Use It
- Data Scientists: For feature engineering and developing predictive models for financial markets.
- Quantitative Analysts: To analyse historical price distribution, standard deviation, and key quantiles.
- Investors: To evaluate long-term investment risks and rewards for Walmart Inc.
- Academics: As high-quality, real-world data for teaching and research in finance and machine learning.
Dataset Name Suggestions
- Walmart Inc. Stock Price History (2011-2021)
- WMT Daily Historical Trading Data
- Decade of Walmart Stock Prices
- WMT Time Series Forecasting Dataset
Attributes
Original Data Source: WMT Daily Historical Trading Data
QUALITYLoading...