Jeronimo Martins (Portugal) Technical Analysis
| JMT Stock | EUR 18.44 0.06 0.33% |
As of the 30th of November, Jeronimo Martins retains the Downside Deviation of 1.52, market risk adjusted performance of 0.9522, and Risk Adjusted Performance of 0.0727. Jeronimo Martins technical analysis makes it possible for you to employ historical prices and volume momentum with the intention to determine a pattern that calculates the direction of the firm's future prices. Please check out Jeronimo Martins SGPS treynor ratio, as well as the relationship between the potential upside and expected short fall to decide if Jeronimo Martins is priced fairly, providing market reflects its last-minute price of 18.44 per share.
Jeronimo Martins Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Jeronimo, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to JeronimoJeronimo |
Jeronimo Martins 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.
Jeronimo Martins SGPS Technical Analysis
The output start index for this execution was ten with a total number of output elements of fifty-one. 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 Jeronimo Martins SGPS volatility. High ATR values indicate high volatility, and low values indicate low volatility.
Jeronimo Martins SGPS Trend Analysis
Use this graph to draw trend lines for Jeronimo Martins SGPS. You can use it to identify possible trend reversals for Jeronimo Martins 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 Jeronimo Martins price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.Jeronimo Martins Best Fit Change Line
The following chart estimates an ordinary least squares regression model for Jeronimo Martins SGPS applied against its price change over selected period. The best fit line has a slop of 0.03 , which means Jeronimo Martins SGPS will continue generating value for investors. It has 122 observation points and a regression sum of squares at 26.66, which is the sum of squared deviations for the predicted Jeronimo Martins price change compared to its average price change.About Jeronimo Martins 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 Jeronimo Martins SGPS 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 Jeronimo Martins SGPS based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Jeronimo Martins SGPS price pattern first instead of the macroeconomic environment surrounding Jeronimo Martins SGPS. By analyzing Jeronimo Martins'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 Jeronimo Martins'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 Jeronimo Martins specific price patterns or momentum indicators. Please read more on our technical analysis page.
Jeronimo Martins November 30, 2024 Technical Indicators
Most technical analysis of Jeronimo 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 Jeronimo from various momentum indicators to cycle indicators. When you analyze Jeronimo 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 | 0.0727 | |||
| Market Risk Adjusted Performance | 0.9522 | |||
| Mean Deviation | 1.39 | |||
| Semi Deviation | 1.42 | |||
| Downside Deviation | 1.52 | |||
| Coefficient Of Variation | 1144.18 | |||
| Standard Deviation | 1.87 | |||
| Variance | 3.51 | |||
| Information Ratio | 0.0139 | |||
| Jensen Alpha | 0.1329 | |||
| Total Risk Alpha | (0.16) | |||
| Sortino Ratio | 0.0171 | |||
| Treynor Ratio | 0.9422 | |||
| Maximum Drawdown | 10.65 | |||
| Value At Risk | (2.16) | |||
| Potential Upside | 2.69 | |||
| Downside Variance | 2.32 | |||
| Semi Variance | 2.01 | |||
| Expected Short fall | (1.60) | |||
| Skewness | 1.16 | |||
| Kurtosis | 4.22 |
Additional Tools for Jeronimo Stock Analysis
When running Jeronimo Martins' price analysis, check to measure Jeronimo Martins' 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 Jeronimo Martins is operating at the current time. Most of Jeronimo Martins' value examination focuses on studying past and present price action to predict the probability of Jeronimo Martins' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Jeronimo Martins' price. Additionally, you may evaluate how the addition of Jeronimo Martins to your portfolios can decrease your overall portfolio volatility.