Willis Towers Watson Stock Volatility Indicators Average True Range
WTW Stock | USD 316.88 0.53 0.17% |
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The output start index for this execution was twelve with a total number of output elements of fourty-nine. 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 Willis Towers Watson volatility. High ATR values indicate high volatility, and low values indicate low volatility.
Willis Towers Technical Analysis Modules
Most technical analysis of Willis Towers 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 Willis from various momentum indicators to cycle indicators. When you analyze Willis 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 | ||
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About Willis Towers 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 Willis Towers Watson. We use our internally-developed statistical techniques to arrive at the intrinsic value of Willis Towers Watson based on widely used predictive technical indicators. In general, we focus on analyzing Willis Stock price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Willis Towers'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 Willis Towers's intrinsic value. In addition to deriving basic predictive indicators for Willis Towers, we also check how macroeconomic factors affect Willis Towers price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Willis Towers' price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
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Additional Tools for Willis Stock Analysis
When running Willis Towers' price analysis, check to measure Willis Towers' 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 Willis Towers is operating at the current time. Most of Willis Towers' value examination focuses on studying past and present price action to predict the probability of Willis Towers' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Willis Towers' price. Additionally, you may evaluate how the addition of Willis Towers to your portfolios can decrease your overall portfolio volatility.