Walmart (Germany) Technical Analysis
| WMT Stock | EUR 84.43 2.41 2.78% |
As of the 23rd of November, Walmart maintains the Mean Deviation of 0.8437, downside deviation of 0.8921, and Market Risk Adjusted Performance of 1.7. 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 84.43 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 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 three with a total number of output elements of fifty-eight. The Average True Range was developed by J. Welles Wilder in 1970s. It is one of components of the Welles Wilder Directional Movement indicators. The ATR is a measure of Walmart volatility. High ATR values indicate high volatility, and low values indicate low volatility.
Walmart Trend Analysis
Use this graph to draw trend lines for Walmart. You can use it to identify possible trend reversals for Walmart as well as other signals and approximate when it will take place. Remember, you need at least two touches of the trend line with actual Walmart price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.Walmart Best Fit Change Line
The following chart estimates an ordinary least squares regression model for Walmart applied against its price change over selected period. The best fit line has a slop of 0.22 , which means Walmart will continue generating value for investors. It has 122 observation points and a regression sum of squares at 1816.32, which is the sum of squared deviations for the predicted Walmart price change compared to its average price change.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 November 23, 2024 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 | ||
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| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
| Risk Adjusted Performance | 0.2435 | |||
| Market Risk Adjusted Performance | 1.7 | |||
| Mean Deviation | 0.8437 | |||
| Semi Deviation | 0.5021 | |||
| Downside Deviation | 0.8921 | |||
| Coefficient Of Variation | 318.59 | |||
| Standard Deviation | 1.06 | |||
| Variance | 1.13 | |||
| Information Ratio | 0.191 | |||
| Jensen Alpha | 0.3008 | |||
| Total Risk Alpha | 0.1564 | |||
| Sortino Ratio | 0.2278 | |||
| Treynor Ratio | 1.69 | |||
| Maximum Drawdown | 3.82 | |||
| Value At Risk | (1.51) | |||
| Potential Upside | 2.12 | |||
| Downside Variance | 0.7958 | |||
| Semi Variance | 0.2521 | |||
| Expected Short fall | (1.02) | |||
| Skewness | 0.1598 | |||
| Kurtosis | 0.0296 |
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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