Public Service (Germany) Technical Analysis
PEG Stock | EUR 12.90 0.20 1.57% |
As of the 29th of November, Public Service holds the Semi Deviation of 1.51, risk adjusted performance of 0.1238, and Coefficient Of Variation of 654.87. Compared to fundamental indicators, the technical analysis model allows you to check existing technical drivers of Public Service, as well as the relationship between them. Please check Public Service Enterprise coefficient of variation, variance, and the relationship between the downside deviation and standard deviation to decide if Public Service Enterprise is priced some-what accurately, providing market reflects its current price of 12.9 per share.
Public Service Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Public, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to PublicPublic |
Public Service 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.
Public Service Enterprise Technical Analysis
Incorrect Input. Please change your parameters or increase the time horizon required for running this function. The output start index for this execution was zero with a total number of output elements of zero. 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 Public Service Enterprise volatility. High ATR values indicate high volatility, and low values indicate low volatility.
Public Service Enterprise Trend Analysis
Use this graph to draw trend lines for Public Service Enterprise. You can use it to identify possible trend reversals for Public Service 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 Public Service price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.Public Service Best Fit Change Line
The following chart estimates an ordinary least squares regression model for Public Service Enterprise applied against its price change over selected period. The best fit line has a slop of 0.04 , which means Public Service Enterprise will continue generating value for investors. It has 122 observation points and a regression sum of squares at 52.4, which is the sum of squared deviations for the predicted Public Service price change compared to its average price change.About Public Service 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 Public Service Enterprise 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 Public Service Enterprise based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Public Service Enterprise price pattern first instead of the macroeconomic environment surrounding Public Service Enterprise. By analyzing Public Service'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 Public Service'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 Public Service specific price patterns or momentum indicators. Please read more on our technical analysis page.
Public Service November 29, 2024 Technical Indicators
Most technical analysis of Public 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 Public from various momentum indicators to cycle indicators. When you analyze Public 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 | 0.1238 | |||
Market Risk Adjusted Performance | (55.35) | |||
Mean Deviation | 1.82 | |||
Semi Deviation | 1.51 | |||
Downside Deviation | 1.99 | |||
Coefficient Of Variation | 654.87 | |||
Standard Deviation | 2.42 | |||
Variance | 5.87 | |||
Information Ratio | 0.1009 | |||
Jensen Alpha | 0.3606 | |||
Total Risk Alpha | (0) | |||
Sortino Ratio | 0.1231 | |||
Treynor Ratio | (55.36) | |||
Maximum Drawdown | 13.36 | |||
Value At Risk | (2.80) | |||
Potential Upside | 4.57 | |||
Downside Variance | 3.94 | |||
Semi Variance | 2.28 | |||
Expected Short fall | (2.52) | |||
Skewness | 1.35 | |||
Kurtosis | 3.87 |
Complementary Tools for Public Stock analysis
When running Public Service's price analysis, check to measure Public Service'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 Public Service is operating at the current time. Most of Public Service's value examination focuses on studying past and present price action to predict the probability of Public Service's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Public Service's price. Additionally, you may evaluate how the addition of Public Service to your portfolios can decrease your overall portfolio volatility.
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