Aviat Networks Stock Volatility Indicators Average True Range
| AVNW Stock | USD 17.94 1.06 6.28% |
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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 Aviat Networks volatility. High ATR values indicate high volatility, and low values indicate low volatility.
Aviat Networks Technical Analysis Modules
Most technical analysis of Aviat Networks 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 Aviat from various momentum indicators to cycle indicators. When you analyze Aviat 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 Aviat Networks 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 Aviat Networks. We use our internally-developed statistical techniques to arrive at the intrinsic value of Aviat Networks based on widely used predictive technical indicators. In general, we focus on analyzing Aviat Stock price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Aviat Networks'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 Aviat Networks's intrinsic value. In addition to deriving basic predictive indicators for Aviat Networks, we also check how macroeconomic factors affect Aviat Networks price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
| 2011 | 2016 | 2022 | 2024 (projected) | Days Sales Outstanding | 93.14 | 143.4 | 222.3 | 66.4 | PTB Ratio | 0.79 | 1.39 | 1.37 | 9.43 |
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 Aviat Networks 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, Aviat Networks' short interest history, or implied volatility extrapolated from Aviat Networks options trading.
Trending Themes
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Additional Tools for Aviat Stock Analysis
When running Aviat Networks' price analysis, check to measure Aviat Networks' 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 Aviat Networks is operating at the current time. Most of Aviat Networks' value examination focuses on studying past and present price action to predict the probability of Aviat Networks' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Aviat Networks' price. Additionally, you may evaluate how the addition of Aviat Networks to your portfolios can decrease your overall portfolio volatility.