UTD OV (Germany) Technical Analysis
UOB0 Stock | EUR 50.00 0.50 0.99% |
As of the 2nd of December, UTD OV has the risk adjusted performance of 0.1344, and Coefficient Of Variation of 590.18. In connection with fundamental indicators, the technical analysis model makes it possible for you to check practical technical drivers of UTD OV BK, as well as the relationship between them. Please validate UTD OV BK downside deviation, standard deviation, information ratio, as well as the relationship between the coefficient of variation and variance to decide if UTD OV is priced adequately, providing market reflects its prevalent price of 50.0 per share.
UTD OV Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as UTD, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to UTDUTD |
UTD OV 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.
UTD OV BK Technical Analysis
The output start index for this execution was thirty-six with a total number of output elements of twenty-five. 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 UTD OV BK volatility. High ATR values indicate high volatility, and low values indicate low volatility.
UTD OV BK Trend Analysis
Use this graph to draw trend lines for UTD OV BK LOC ADR1. You can use it to identify possible trend reversals for UTD OV 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 UTD OV price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.UTD OV Best Fit Change Line
The following chart estimates an ordinary least squares regression model for UTD OV BK LOC ADR1 applied against its price change over selected period. The best fit line has a slop of 0.12 , which means UTD OV BK LOC ADR1 will continue generating value for investors. It has 122 observation points and a regression sum of squares at 581.45, which is the sum of squared deviations for the predicted UTD OV price change compared to its average price change.About UTD OV 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 UTD OV BK LOC ADR1 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 UTD OV BK LOC ADR1 based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on UTD OV BK price pattern first instead of the macroeconomic environment surrounding UTD OV BK. By analyzing UTD OV'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 UTD OV'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 UTD OV specific price patterns or momentum indicators. Please read more on our technical analysis page.
UTD OV December 2, 2024 Technical Indicators
Most technical analysis of UTD 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 UTD from various momentum indicators to cycle indicators. When you analyze UTD 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 | 0.1344 | |||
Market Risk Adjusted Performance | 0.6902 | |||
Mean Deviation | 0.8393 | |||
Semi Deviation | 0.6511 | |||
Downside Deviation | 1.15 | |||
Coefficient Of Variation | 590.18 | |||
Standard Deviation | 1.5 | |||
Variance | 2.24 | |||
Information Ratio | 0.0775 | |||
Jensen Alpha | 0.1979 | |||
Total Risk Alpha | (0.01) | |||
Sortino Ratio | 0.1005 | |||
Treynor Ratio | 0.6802 | |||
Maximum Drawdown | 11.96 | |||
Value At Risk | (1.35) | |||
Potential Upside | 1.79 | |||
Downside Variance | 1.33 | |||
Semi Variance | 0.424 | |||
Expected Short fall | (1.18) | |||
Skewness | 3.94 | |||
Kurtosis | 25.16 |
Complementary Tools for UTD Stock analysis
When running UTD OV's price analysis, check to measure UTD OV'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 UTD OV is operating at the current time. Most of UTD OV's value examination focuses on studying past and present price action to predict the probability of UTD OV's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move UTD OV's price. Additionally, you may evaluate how the addition of UTD OV to your portfolios can decrease your overall portfolio volatility.
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