Office Properties (Germany) Technical Analysis
GOKA Stock | EUR 1.48 0.02 1.33% |
As of the 4th of December, Office Properties holds the Coefficient Of Variation of 357603.61, semi deviation of 5.2, and Risk Adjusted Performance of 0.0091. Office Properties Income 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 Office Properties Income coefficient of variation, variance, and the relationship between the downside deviation and standard deviation to decide if Office Properties Income is priced some-what accurately, providing market reflects its current price of 1.48 per share.
Office Properties Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Office, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to OfficeOffice |
Office Properties 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.
Office Properties Income Technical Analysis
The output start index for this execution was fourteen with a total number of output elements of fourty-seven. 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 Office Properties Income volatility. High ATR values indicate high volatility, and low values indicate low volatility.
Office Properties Income Trend Analysis
Use this graph to draw trend lines for Office Properties Income. You can use it to identify possible trend reversals for Office Properties 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 Office Properties price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.Office Properties Best Fit Change Line
The following chart estimates an ordinary least squares regression model for Office Properties Income applied against its price change over selected period. The best fit line has a slop of 0.01 , which may suggest that Office Properties Income market price will keep on failing further. It has 122 observation points and a regression sum of squares at 5.41, which is the sum of squared deviations for the predicted Office Properties price change compared to its average price change.About Office Properties 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 Office Properties Income 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 Office Properties Income based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Office Properties Income price pattern first instead of the macroeconomic environment surrounding Office Properties Income. By analyzing Office Properties'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 Office Properties'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 Office Properties specific price patterns or momentum indicators. Please read more on our technical analysis page.
Office Properties December 4, 2024 Technical Indicators
Most technical analysis of Office 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 Office from various momentum indicators to cycle indicators. When you analyze Office 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.
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Math Operators | ||
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Overlap Studies | ||
Pattern Recognition | ||
Price Transform | ||
Statistic Functions | ||
Volatility Indicators | ||
Volume Indicators |
Risk Adjusted Performance | 0.0091 | |||
Market Risk Adjusted Performance | (0) | |||
Mean Deviation | 4.12 | |||
Semi Deviation | 5.2 | |||
Downside Deviation | 5.7 | |||
Coefficient Of Variation | 357603.61 | |||
Standard Deviation | 6.98 | |||
Variance | 48.71 | |||
Information Ratio | (0.02) | |||
Jensen Alpha | (0.07) | |||
Total Risk Alpha | (0.95) | |||
Sortino Ratio | (0.02) | |||
Treynor Ratio | (0.01) | |||
Maximum Drawdown | 42.36 | |||
Value At Risk | (9.41) | |||
Potential Upside | 16.0 | |||
Downside Variance | 32.48 | |||
Semi Variance | 27.06 | |||
Expected Short fall | (5.92) | |||
Skewness | 1.32 | |||
Kurtosis | 5.4 |
Complementary Tools for Office Stock analysis
When running Office Properties' price analysis, check to measure Office Properties' 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 Office Properties is operating at the current time. Most of Office Properties' value examination focuses on studying past and present price action to predict the probability of Office Properties' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Office Properties' price. Additionally, you may evaluate how the addition of Office Properties to your portfolios can decrease your overall portfolio volatility.
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