Extreme Networks Stock Volatility Indicators Average True Range
| EXTR Stock | USD 11.20 0.22 1.93% |
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The output start index for this execution was five with a total number of output elements of fifty-six. 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 Extreme Networks volatility. High ATR values indicate high volatility, and low values indicate low volatility.
Extreme Networks Technical Analysis Modules
Most technical analysis of Extreme 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 Extreme from various momentum indicators to cycle indicators. When you analyze Extreme 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 Extreme 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 Extreme Networks. We use our internally-developed statistical techniques to arrive at the intrinsic value of Extreme Networks based on widely used predictive technical indicators. In general, we focus on analyzing Extreme Stock price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Extreme 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 Extreme Networks's intrinsic value. In addition to deriving basic predictive indicators for Extreme Networks, we also check how macroeconomic factors affect Extreme Networks price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
| 2021 | 2022 | 2023 | 2024 (projected) | Days Sales Outstanding | 60.41 | 50.63 | 58.22 | 62.01 | PTB Ratio | 12.78 | 28.89 | 26.0 | 27.3 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Extreme Networks' 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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Check out Investing Opportunities to better understand how to build diversified portfolios, which includes a position in Extreme Networks. Also, note that the market value of any company could be tightly coupled with the direction of predictive economic indicators such as signals in estimate. To learn how to invest in Extreme Stock, please use our How to Invest in Extreme Networks guide.You can also try the Money Flow Index module to determine momentum by analyzing Money Flow Index and other technical indicators.
Complementary Tools for Extreme Stock analysis
When running Extreme Networks' price analysis, check to measure Extreme 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 Extreme Networks is operating at the current time. Most of Extreme Networks' value examination focuses on studying past and present price action to predict the probability of Extreme Networks' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Extreme Networks' price. Additionally, you may evaluate how the addition of Extreme Networks to your portfolios can decrease your overall portfolio volatility.
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Is Extreme Networks' industry expected to grow? Or is there an opportunity to expand the business' product line in the future? Factors like these will boost the valuation of Extreme Networks. If investors know Extreme will grow in the future, the company's valuation will be higher. The financial industry is built on trying to define current growth potential and future valuation accurately. All the valuation information about Extreme Networks listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Quarterly Earnings Growth (0.77) | Earnings Share (0.06) | Revenue Per Share 9.504 | Quarterly Revenue Growth (0.36) | Return On Assets 0.0282 |
The market value of Extreme Networks is measured differently than its book value, which is the value of Extreme that is recorded on the company's balance sheet. Investors also form their own opinion of Extreme Networks' value that differs from its market value or its book value, called intrinsic value, which is Extreme Networks' true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because Extreme Networks' market value can be influenced by many factors that don't directly affect Extreme Networks' underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Please note, there is a significant difference between Extreme Networks' value and its price as these two are different measures arrived at by different means. Investors typically determine if Extreme Networks is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Extreme Networks' price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.