Walmart (Germany) Analysis

WMT Stock  EUR 96.02  1.31  1.38%   
Walmart is undervalued with Real Value of 107.29 and Hype Value of 96.02. The main objective of Walmart stock analysis is to determine its intrinsic value, which is an estimate of what Walmart is worth, separate from its market price. There are two main types of Walmart's stock analysis: fundamental analysis and technical analysis. Fundamental analysis focuses on the financial and economic factors that affect Walmart's performance, such as revenue growth, earnings, and financial stability. Technical analysis, on the other hand, focuses on the price and volume data of Walmart's stock to identify patterns and trends that may indicate its future price movements.
The Walmart stock is traded in Germany on Hanover Exchange, with the market opening at 08:00:00 and closing at 20:00:00 every Mon,Tue,Wed,Thu,Fri except for officially observed holidays in Germany. Here, you can get updates on important government artifacts, including earning estimates, SEC corporate filings, announcements, and Walmart's ongoing operational relationships across important fundamental and technical indicators.
  
Check out Your Current Watchlist to better understand how to build diversified portfolios, which includes a position in Walmart. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in board of governors.
For information on how to trade Walmart Stock refer to our How to Trade Walmart Stock guide.

Walmart Stock Analysis Notes

The company last dividend was issued on the 6th of May 2020. Walmart had 1:3 split on the 14th of February 2024.

Walmart Market Capitalization

The company currently falls under '' category with a current market capitalization of 0. Market capitalization usually refers to the total value of a company's stock within the entire market. To calculate Walmart's market, we take the total number of its shares issued and multiply it by Walmart's current market price. To manage market risk and economic uncertainty, many investors today build portfolios that are diversified across equities with different market capitalizations. However, as a general rule, conservative investors tend to hold large-cap stocks, and those looking for more risk prefer small-cap and mid-cap equities.

Technical Drivers

As of the 4th of February, Walmart maintains the Market Risk Adjusted Performance of 1.56, mean deviation of 0.9506, and Downside Deviation of 1.28. Relative to fundamental indicators, the technical analysis model lets you check existing technical drivers of Walmart, as well as the relationship between them.

Walmart Price Movement Analysis

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The output start index for this execution was twenty-nine with a total number of output elements of thirty-two. The Bollinger Bands is very popular indicator that was developed by John Bollinger. It consist of three lines. Walmart middle band is a simple moving average of its typical price. The upper and lower bands are (N) standard deviations above and below the middle band. The bands widen and narrow when the volatility of the price is higher or lower, respectively. The upper and lower bands can also be interpreted as price targets for Walmart. When the price bounces off of the lower band and crosses the middle band, then the upper band becomes the price target.

Walmart Predictive Daily Indicators

Walmart intraday indicators are useful technical analysis tools used by many experienced traders. Just like the conventional technical analysis, daily indicators help intraday investors to analyze the price movement with the timing of Walmart stock daily movement. By combining multiple daily indicators into a single trading strategy, you can limit your risk while still earning strong returns on your managed positions.

Walmart Forecast Models

Walmart's time-series forecasting models are one of many Walmart's stock analysis techniques aimed at predicting future share value based on previously observed values. Time-series forecasting models ae widely used for non-stationary data. Non-stationary data are called the data whose statistical properties e.g. the mean and standard deviation are not constant over time but instead, these metrics vary over time. These non-stationary Walmart's historical data is usually called time-series. Some empirical experimentation suggests that the statistical forecasting models outperform the models based exclusively on fundamental analysis to predict the direction of the market movement and maximize returns from investment trading.

Be your own money manager

As an investor, your ultimate goal is to build wealth. Optimizing your investment portfolio is an essential element in this goal. Using our stock analysis tools, you can find out how much better you can do when adding Walmart to your portfolios without increasing risk or reducing expected return.

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Complementary Tools for Walmart Stock analysis

When running Walmart's price analysis, check to measure Walmart's market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy Walmart is operating at the current time. Most of Walmart's value examination focuses on studying past and present price action to predict the probability of Walmart's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Walmart's price. Additionally, you may evaluate how the addition of Walmart to your portfolios can decrease your overall portfolio volatility.
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