Verisk Analytics (Germany) Technical Analysis
VA7A Stock | EUR 268.70 3.50 1.29% |
As of the 17th of December 2024, Verisk Analytics has the Coefficient Of Variation of 772.47, semi deviation of 0.8585, and Risk Adjusted Performance of 0.0978. In relation to fundamental indicators, the technical analysis model makes it possible for you to check existing technical drivers of Verisk Analytics, as well as the relationship between them. Please validate Verisk Analytics treynor ratio, value at risk, downside variance, as well as the relationship between the maximum drawdown and potential upside to decide if Verisk Analytics is priced more or less accurately, providing market reflects its prevalent price of 268.7 per share.
Verisk Analytics Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Verisk, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to VeriskVerisk |
Verisk Analytics 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.
Verisk Analytics 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 Verisk Analytics volatility. High ATR values indicate high volatility, and low values indicate low volatility.
Verisk Analytics Trend Analysis
Use this graph to draw trend lines for Verisk Analytics. You can use it to identify possible trend reversals for Verisk Analytics 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 Verisk Analytics price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.Verisk Analytics Best Fit Change Line
The following chart estimates an ordinary least squares regression model for Verisk Analytics applied against its price change over selected period. The best fit line has a slop of 0.74 , which means Verisk Analytics will continue generating value for investors. It has 122 observation points and a regression sum of squares at 20580.02, which is the sum of squared deviations for the predicted Verisk Analytics price change compared to its average price change.About Verisk Analytics 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 Verisk Analytics 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 Verisk Analytics based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Verisk Analytics price pattern first instead of the macroeconomic environment surrounding Verisk Analytics. By analyzing Verisk Analytics'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 Verisk Analytics'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 Verisk Analytics specific price patterns or momentum indicators. Please read more on our technical analysis page.
Verisk Analytics December 17, 2024 Technical Indicators
Most technical analysis of Verisk 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 Verisk from various momentum indicators to cycle indicators. When you analyze Verisk 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 | 0.0978 | |||
Market Risk Adjusted Performance | 0.7096 | |||
Mean Deviation | 0.9565 | |||
Semi Deviation | 0.8585 | |||
Downside Deviation | 1.04 | |||
Coefficient Of Variation | 772.47 | |||
Standard Deviation | 1.27 | |||
Variance | 1.61 | |||
Information Ratio | 0.0623 | |||
Jensen Alpha | 0.1378 | |||
Total Risk Alpha | 0.0219 | |||
Sortino Ratio | 0.076 | |||
Treynor Ratio | 0.6996 | |||
Maximum Drawdown | 5.58 | |||
Value At Risk | (1.50) | |||
Potential Upside | 2.53 | |||
Downside Variance | 1.08 | |||
Semi Variance | 0.737 | |||
Expected Short fall | (1.21) | |||
Skewness | 0.5851 | |||
Kurtosis | 0.7871 |
Complementary Tools for Verisk Stock analysis
When running Verisk Analytics' price analysis, check to measure Verisk Analytics' 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 Verisk Analytics is operating at the current time. Most of Verisk Analytics' value examination focuses on studying past and present price action to predict the probability of Verisk Analytics' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Verisk Analytics' price. Additionally, you may evaluate how the addition of Verisk Analytics to your portfolios can decrease your overall portfolio volatility.
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