Walmart (Germany) Technical Analysis
| WMT Stock | EUR 95.36 0.00 0.00% |
As of the 22nd of February, Walmart maintains the Downside Deviation of 1.26, market risk adjusted performance of 1.78, and Mean Deviation of 0.5672. Relative to fundamental indicators, the technical analysis model lets you check existing technical drivers of Walmart, as well as the relationship between them. Please check out Walmart value at risk, expected short fall, and the relationship between the treynor ratio and downside variance to decide if Walmart is priced fairly, providing market reflects its latest price of 95.36 per share.
Walmart Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Walmart, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to WalmartWalmart |
Walmart 'What if' Analysis
In the world of financial modeling, what-if analysis is part of sensitivity analysis performed to test how changes in assumptions impact individual outputs in a model. When applied to Walmart's stock what-if analysis refers to the analyzing how the change in your past investing horizon will affect the profitability against the current market value of Walmart.
| 11/24/2025 |
| 02/22/2026 |
If you would invest 0.00 in Walmart on November 24, 2025 and sell it all today you would earn a total of 0.00 from holding Walmart or generate 0.0% return on investment in Walmart over 90 days. Walmart is related to or competes with Vulcan Steel, Daido Steel, Coor Service, and BlueScope Steel. Walmart is entity of Germany. It is traded as Stock on BE exchange. More
Walmart Upside/Downside Indicators
Understanding different market momentum indicators often help investors to time their next move. Potential upside and downside technical ratios enable traders to measure Walmart's stock current market value against overall market sentiment and can be a good tool during both bulling and bearish trends. Here we outline some of the essential indicators to assess Walmart upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.26 | |||
| Information Ratio | 0.024 | |||
| Maximum Drawdown | 8.33 | |||
| Value At Risk | (1.82) | |||
| Potential Upside | 1.86 |
Walmart Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Walmart's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Walmart's standard deviation. In reality, there are many statistical measures that can use Walmart historical prices to predict the future Walmart's volatility.| Risk Adjusted Performance | 0.0788 | |||
| Jensen Alpha | 0.0922 | |||
| Total Risk Alpha | (0) | |||
| Sortino Ratio | 0.0203 | |||
| Treynor Ratio | 1.77 |
Walmart February 22, 2026 Technical Indicators
| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
| Risk Adjusted Performance | 0.0788 | |||
| Market Risk Adjusted Performance | 1.78 | |||
| Mean Deviation | 0.5672 | |||
| Semi Deviation | 0.5703 | |||
| Downside Deviation | 1.26 | |||
| Coefficient Of Variation | 1003.26 | |||
| Standard Deviation | 1.06 | |||
| Variance | 1.13 | |||
| Information Ratio | 0.024 | |||
| Jensen Alpha | 0.0922 | |||
| Total Risk Alpha | (0) | |||
| Sortino Ratio | 0.0203 | |||
| Treynor Ratio | 1.77 | |||
| Maximum Drawdown | 8.33 | |||
| Value At Risk | (1.82) | |||
| Potential Upside | 1.86 | |||
| Downside Variance | 1.58 | |||
| Semi Variance | 0.3252 | |||
| Expected Short fall | (1.35) | |||
| Skewness | 1.65 | |||
| Kurtosis | 9.55 |
Walmart Backtested Returns
At this point, Walmart is very steady. Walmart shows Sharpe Ratio of 0.11, which attests that the company had a 0.11 % return per unit of risk over the last 3 months. We have found twenty-five technical indicators for Walmart, which you can use to evaluate the volatility of the company. Please check out Walmart's Mean Deviation of 0.5672, downside deviation of 1.26, and Market Risk Adjusted Performance of 1.78 to validate if the risk estimate we provide is consistent with the expected return of 0.0841%. Walmart has a performance score of 8 on a scale of 0 to 100. The firm maintains a market beta of 0.0544, which attests to not very significant fluctuations relative to the market. As returns on the market increase, Walmart's returns are expected to increase less than the market. However, during the bear market, the loss of holding Walmart is expected to be smaller as well. Walmart right now maintains a risk of 0.8%. Please check out Walmart value at risk, expected short fall, and the relationship between the treynor ratio and downside variance , to decide if Walmart will be following its historical returns.
Auto-correlation | 0.00 |
No correlation between past and present
Walmart has no correlation between past and present. Overlapping area represents the amount of predictability between Walmart time series from 24th of November 2025 to 8th of January 2026 and 8th of January 2026 to 22nd of February 2026. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Walmart price movement. The serial correlation of 0.0 indicates that just 0.0% of current Walmart price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.0 | |
| Spearman Rank Test | 0.22 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Walmart technical stock analysis exercises models and trading practices based on price and volume transformations, such as the moving averages, relative strength index, regressions, price and return correlations, business cycles, stock market cycles, or different charting patterns.
Walmart Technical Analysis
The output start index for this execution was ten with a total number of output elements of fifty-one. The Normalized Average True Range is used to analyze tradable apportunities for Walmart across different markets.
About Walmart Technical Analysis
The technical analysis module can be used to analyzes prices, returns, volume, basic money flow, and other market information and help investors to determine the real value of Walmart on a daily or weekly bases. We use both bottom-up as well as top-down valuation methodologies to arrive at the intrinsic value of Walmart based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Walmart price pattern first instead of the macroeconomic environment surrounding Walmart. By analyzing Walmart's financials, daily price indicators, and related drivers such as dividends, momentum ratios, and various types of growth rates, we attempt to find the most accurate representation of Walmart's intrinsic value. As compared to a bottom-up approach, our top-down model examines the macroeconomic factors that affect the industry/economy before zooming in to Walmart specific price patterns or momentum indicators. Please read more on our technical analysis page.
Walmart February 22, 2026 Technical Indicators
Most technical analysis of Walmart help investors determine whether a current trend will continue and, if not, when it will shift. We provide a combination of tools to recognize potential entry and exit points for Walmart from various momentum indicators to cycle indicators. When you analyze Walmart charts, please remember that the event formation may indicate an entry point for a short seller, and look at different other indicators across different periods to confirm that a breakdown or reversion is likely to occur.
| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
| Risk Adjusted Performance | 0.0788 | |||
| Market Risk Adjusted Performance | 1.78 | |||
| Mean Deviation | 0.5672 | |||
| Semi Deviation | 0.5703 | |||
| Downside Deviation | 1.26 | |||
| Coefficient Of Variation | 1003.26 | |||
| Standard Deviation | 1.06 | |||
| Variance | 1.13 | |||
| Information Ratio | 0.024 | |||
| Jensen Alpha | 0.0922 | |||
| Total Risk Alpha | (0) | |||
| Sortino Ratio | 0.0203 | |||
| Treynor Ratio | 1.77 | |||
| Maximum Drawdown | 8.33 | |||
| Value At Risk | (1.82) | |||
| Potential Upside | 1.86 | |||
| Downside Variance | 1.58 | |||
| Semi Variance | 0.3252 | |||
| Expected Short fall | (1.35) | |||
| Skewness | 1.65 | |||
| Kurtosis | 9.55 |
Walmart February 22, 2026 Daily Trend Indicators
Traders often use several different daily volumes and price technical indicators to supplement a more traditional technical analysis when analyzing securities such as Walmart stock. With literally thousands of different options, investors must choose the best indicators for them and familiarize themselves with how they work. We suggest combining traditional momentum indicators with more near-term forms of technical analysis such as Accumulation Distribution or Daily Balance Of Power. With their quantitative nature, daily value technical indicators can also be incorporated into your automated trading systems.
| Accumulation Distribution | 0.00 | ||
| Daily Balance Of Power | 0.00 | ||
| Rate Of Daily Change | 1.00 | ||
| Day Median Price | 95.36 | ||
| Day Typical Price | 95.36 | ||
| Price Action Indicator | 0.00 |
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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