Swiss Re (Switzerland) Volatility Indicators Average True Range
SREN Stock | CHF 127.20 1.25 0.99% |
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The output start index for this execution was twenty with a total number of output elements of fourty-one. 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 Swiss Re AG volatility. High ATR values indicate high volatility, and low values indicate low volatility.
Swiss Re Technical Analysis Modules
Most technical analysis of Swiss Re 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 Swiss from various momentum indicators to cycle indicators. When you analyze Swiss 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 Swiss Re 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 Swiss Re AG. We use our internally-developed statistical techniques to arrive at the intrinsic value of Swiss Re AG based on widely used predictive technical indicators. In general, we focus on analyzing Swiss Stock price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Swiss Re'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 Swiss Re's intrinsic value. In addition to deriving basic predictive indicators for Swiss Re, we also check how macroeconomic factors affect Swiss Re price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards Swiss Re in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, Swiss Re's short interest history, or implied volatility extrapolated from Swiss Re options trading.
Trending Themes
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Manufacturing Invested over 30 shares | ||
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Additional Tools for Swiss Stock Analysis
When running Swiss Re's price analysis, check to measure Swiss Re'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 Swiss Re is operating at the current time. Most of Swiss Re's value examination focuses on studying past and present price action to predict the probability of Swiss Re's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Swiss Re's price. Additionally, you may evaluate how the addition of Swiss Re to your portfolios can decrease your overall portfolio volatility.