Wulff Yhtiot (Finland) Technical Analysis
WUF1V Stock | EUR 2.96 0.08 2.78% |
As of the 28th of November, Wulff Yhtiot maintains the Market Risk Adjusted Performance of 0.4026, downside deviation of 1.99, and Mean Deviation of 1.54. Relative to fundamental indicators, the technical analysis model lets you check existing technical drivers of Wulff Yhtiot Oy, as well as the relationship between them.
Wulff Yhtiot Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Wulff, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to WulffWulff |
Wulff Yhtiot 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.
Wulff Yhtiot Oy 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 Wulff Yhtiot Oy volatility. High ATR values indicate high volatility, and low values indicate low volatility.
Wulff Yhtiot Oy Trend Analysis
Use this graph to draw trend lines for Wulff Yhtiot Oy. You can use it to identify possible trend reversals for Wulff Yhtiot 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 Wulff Yhtiot price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.Wulff Yhtiot Best Fit Change Line
The following chart estimates an ordinary least squares regression model for Wulff Yhtiot Oy applied against its price change over selected period. The best fit line has a slop of 0.01 , which means Wulff Yhtiot Oy will continue generating value for investors. It has 122 observation points and a regression sum of squares at 1.45, which is the sum of squared deviations for the predicted Wulff Yhtiot price change compared to its average price change.About Wulff Yhtiot 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 Wulff Yhtiot Oy 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 Wulff Yhtiot Oy based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Wulff Yhtiot Oy price pattern first instead of the macroeconomic environment surrounding Wulff Yhtiot Oy. By analyzing Wulff Yhtiot'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 Wulff Yhtiot'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 Wulff Yhtiot specific price patterns or momentum indicators. Please read more on our technical analysis page.
Wulff Yhtiot November 28, 2024 Technical Indicators
Most technical analysis of Wulff 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 Wulff from various momentum indicators to cycle indicators. When you analyze Wulff 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 | 0.0989 | |||
Market Risk Adjusted Performance | 0.4026 | |||
Mean Deviation | 1.54 | |||
Semi Deviation | 1.67 | |||
Downside Deviation | 1.99 | |||
Coefficient Of Variation | 824.7 | |||
Standard Deviation | 1.92 | |||
Variance | 3.67 | |||
Information Ratio | 0.0558 | |||
Jensen Alpha | 0.157 | |||
Total Risk Alpha | (0.07) | |||
Sortino Ratio | 0.0536 | |||
Treynor Ratio | 0.3926 | |||
Maximum Drawdown | 7.98 | |||
Value At Risk | (3.11) | |||
Potential Upside | 3.2 | |||
Downside Variance | 3.98 | |||
Semi Variance | 2.77 | |||
Expected Short fall | (1.82) | |||
Skewness | (0.09) | |||
Kurtosis | (0.63) |
Complementary Tools for Wulff Stock analysis
When running Wulff Yhtiot's price analysis, check to measure Wulff Yhtiot'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 Wulff Yhtiot is operating at the current time. Most of Wulff Yhtiot's value examination focuses on studying past and present price action to predict the probability of Wulff Yhtiot's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Wulff Yhtiot's price. Additionally, you may evaluate how the addition of Wulff Yhtiot to your portfolios can decrease your overall portfolio volatility.
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