Power Of (Germany) Technical Analysis
PCR Stock | EUR 29.60 0.20 0.67% |
As of the 4th of January, Power Of holds the Semi Deviation of 0.9056, risk adjusted performance of 0.0853, and Coefficient Of Variation of 975.67. Compared to fundamental indicators, the technical analysis model allows you to check existing technical drivers of Power Of, as well as the relationship between them. Please check Power Of mean deviation, standard deviation, treynor ratio, as well as the relationship between the downside deviation and information ratio to decide if Power Of is priced some-what accurately, providing market reflects its current price of 29.6 per share.
Power Of Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Power, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to PowerPower |
Power Of 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.
Power Of 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 Power Of volatility. High ATR values indicate high volatility, and low values indicate low volatility.
Power Of Trend Analysis
Use this graph to draw trend lines for Power of. You can use it to identify possible trend reversals for Power Of 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 Power Of price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.Power Of Best Fit Change Line
The following chart estimates an ordinary least squares regression model for Power of applied against its price change over selected period. The best fit line has a slop of 0.03 , which means Power of will continue generating value for investors. It has 122 observation points and a regression sum of squares at 39.45, which is the sum of squared deviations for the predicted Power Of price change compared to its average price change.About Power Of 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 Power of 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 Power of based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Power Of price pattern first instead of the macroeconomic environment surrounding Power Of. By analyzing Power Of'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 Power Of'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 Power Of specific price patterns or momentum indicators. Please read more on our technical analysis page.
Power Of January 4, 2025 Technical Indicators
Most technical analysis of Power 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 Power from various momentum indicators to cycle indicators. When you analyze Power 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 | 0.0853 | |||
Market Risk Adjusted Performance | (1.80) | |||
Mean Deviation | 0.7435 | |||
Semi Deviation | 0.9056 | |||
Downside Deviation | 1.42 | |||
Coefficient Of Variation | 975.67 | |||
Standard Deviation | 1.03 | |||
Variance | 1.07 | |||
Information Ratio | 0.0809 | |||
Jensen Alpha | 0.0965 | |||
Total Risk Alpha | 0.0801 | |||
Sortino Ratio | 0.0587 | |||
Treynor Ratio | (1.81) | |||
Maximum Drawdown | 7.23 | |||
Value At Risk | (1.40) | |||
Potential Upside | 1.39 | |||
Downside Variance | 2.02 | |||
Semi Variance | 0.8201 | |||
Expected Short fall | (0.98) | |||
Skewness | (0.57) | |||
Kurtosis | 3.26 |
Complementary Tools for Power Stock analysis
When running Power Of's price analysis, check to measure Power Of'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 Power Of is operating at the current time. Most of Power Of's value examination focuses on studying past and present price action to predict the probability of Power Of's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Power Of's price. Additionally, you may evaluate how the addition of Power Of to your portfolios can decrease your overall portfolio volatility.
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