UNIQA Insurance (Czech Republic) Volatility Indicators Average True Range
| UQA Stock | CZK 185.00 1.30 0.71% |
| Symbol |
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 UNIQA Insurance Group volatility. High ATR values indicate high volatility, and low values indicate low volatility.
UNIQA Insurance Technical Analysis Modules
Most technical analysis of UNIQA Insurance 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 UNIQA from various momentum indicators to cycle indicators. When you analyze UNIQA charts, please remember that the event formation may indicate an entry point for a short seller, and look at 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 |
About UNIQA Insurance Predictive Technical Analysis
Predictive technical analysis modules help investors to analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of UNIQA Insurance Group. We use our internally-developed statistical techniques to arrive at the intrinsic value of UNIQA Insurance Group based on widely used predictive technical indicators. In general, we focus on analyzing UNIQA Stock price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build UNIQA Insurance's daily price indicators and compare them against related drivers, such as volatility indicators and various other types of predictive indicators. Using this methodology combined with a more conventional technical analysis and fundamental analysis, we attempt to find the most accurate representation of UNIQA Insurance's intrinsic value. In addition to deriving basic predictive indicators for UNIQA Insurance, we also check how macroeconomic factors affect UNIQA Insurance price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
Be your own money manager
As an individual investor, you need to find a reliable way to track all your investment portfolios' performance accurately. However, your requirements will often be based on how much of the process you decide to do yourself. In addition to allowing you full analytical transparency into your positions, our tools can tell you how much better you can do without increasing your risk or reducing expected return.Generate Optimal Portfolios
Align your risk and return expectations
Additional Tools for UNIQA Stock Analysis
When running UNIQA Insurance's price analysis, check to measure UNIQA Insurance'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 UNIQA Insurance is operating at the current time. Most of UNIQA Insurance's value examination focuses on studying past and present price action to predict the probability of UNIQA Insurance's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move UNIQA Insurance's price. Additionally, you may evaluate how the addition of UNIQA Insurance to your portfolios can decrease your overall portfolio volatility.