Ring Energy (Germany) Technical Analysis
| KWE1 Stock | EUR 1.31 0.04 2.96% |
As of the 11th of December 2024, Ring Energy holds the Coefficient Of Variation of (5,798), variance of 9.6, and insignificant Risk Adjusted Performance. Ring Energy technical analysis gives you tools to exploit past prices in attempt to determine a pattern that determines the direction of the company's future prices. Please check Ring Energy value at risk, skewness, and the relationship between the maximum drawdown and potential upside to decide if Ring Energy is priced some-what accurately, providing market reflects its current price of 1.31 per share.
Ring Energy Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Ring, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to RingRing |
Ring Energy 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.
Ring Energy 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 Ring Energy volatility. High ATR values indicate high volatility, and low values indicate low volatility.
Ring Energy Trend Analysis
Use this graph to draw trend lines for Ring Energy. You can use it to identify possible trend reversals for Ring Energy 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 Ring Energy price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.Ring Energy Best Fit Change Line
The following chart estimates an ordinary least squares regression model for Ring Energy applied against its price change over selected period. The best fit line has a slop of 0.0019 , which may suggest that Ring Energy market price will keep on failing further. It has 122 observation points and a regression sum of squares at 0.13, which is the sum of squared deviations for the predicted Ring Energy price change compared to its average price change.About Ring Energy 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 Ring Energy 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 Ring Energy based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Ring Energy price pattern first instead of the macroeconomic environment surrounding Ring Energy. By analyzing Ring Energy'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 Ring Energy'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 Ring Energy specific price patterns or momentum indicators. Please read more on our technical analysis page.
Ring Energy December 11, 2024 Technical Indicators
Most technical analysis of Ring 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 Ring from various momentum indicators to cycle indicators. When you analyze Ring 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 | (0.04) | |||
| Mean Deviation | 2.26 | |||
| Coefficient Of Variation | (5,798) | |||
| Standard Deviation | 3.1 | |||
| Variance | 9.6 | |||
| Information Ratio | (0.06) | |||
| Jensen Alpha | (0.22) | |||
| Total Risk Alpha | (0.55) | |||
| Treynor Ratio | (0.05) | |||
| Maximum Drawdown | 19.15 | |||
| Value At Risk | (4.11) | |||
| Potential Upside | 5.63 | |||
| Skewness | 0.2138 | |||
| Kurtosis | 1.87 |
Complementary Tools for Ring Stock analysis
When running Ring Energy's price analysis, check to measure Ring Energy'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 Ring Energy is operating at the current time. Most of Ring Energy's value examination focuses on studying past and present price action to predict the probability of Ring Energy's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Ring Energy's price. Additionally, you may evaluate how the addition of Ring Energy to your portfolios can decrease your overall portfolio volatility.
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