Everest (Germany) Technical Analysis
| ERE Stock | EUR 345.30 7.80 2.21% |
As of the 8th of January, Everest shows the Standard Deviation of 1.59, variance of 2.52, and Mean Deviation of 1.13. Everest Group technical analysis allows you to utilize historical prices and volume patterns in order to determine a pattern that computes the direction of the firm's future prices. Please confirm Everest Group variance, treynor ratio, and the relationship between the standard deviation and information ratio to decide if Everest Group is priced favorably, providing market reflects its regular price of 345.3 per share.
Everest Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Everest, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to EverestEverest |
Everest 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.
Everest Group Technical Analysis
The output start index for this execution was one with a total number of output elements of sixty. 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 Everest Group volatility. High ATR values indicate high volatility, and low values indicate low volatility.
Everest Group Trend Analysis
Use this graph to draw trend lines for Everest Group. You can use it to identify possible trend reversals for Everest 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 Everest price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.Everest Best Fit Change Line
The following chart estimates an ordinary least squares regression model for Everest Group applied against its price change over selected period. The best fit line has a slop of 0 , which means Everest Group will continue generating value for investors. It has 122 observation points and a regression sum of squares at 0.6, which is the sum of squared deviations for the predicted Everest price change compared to its average price change.About Everest 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 Everest Group 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 Everest Group based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Everest Group price pattern first instead of the macroeconomic environment surrounding Everest Group. By analyzing Everest'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 Everest'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 Everest specific price patterns or momentum indicators. Please read more on our technical analysis page.
Everest January 8, 2025 Technical Indicators
Most technical analysis of Everest 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 Everest from various momentum indicators to cycle indicators. When you analyze Everest 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) | |||
| Market Risk Adjusted Performance | 0.413 | |||
| Mean Deviation | 1.13 | |||
| Coefficient Of Variation | (8,941) | |||
| Standard Deviation | 1.59 | |||
| Variance | 2.52 | |||
| Information Ratio | (0.02) | |||
| Jensen Alpha | (0.03) | |||
| Total Risk Alpha | (0.03) | |||
| Treynor Ratio | 0.403 | |||
| Maximum Drawdown | 6.95 | |||
| Value At Risk | (2.21) | |||
| Potential Upside | 3.77 | |||
| Skewness | 0.8394 | |||
| Kurtosis | 1.38 |
Complementary Tools for Everest Stock analysis
When running Everest's price analysis, check to measure Everest'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 Everest is operating at the current time. Most of Everest's value examination focuses on studying past and present price action to predict the probability of Everest's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Everest's price. Additionally, you may evaluate how the addition of Everest to your portfolios can decrease your overall portfolio volatility.
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