Extreme Networks Stock Statistic Functions Linear Regression
| EXTR Stock | USD 16.03 0.37 2.36% |
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The output start index for this execution was two with a total number of output elements of fifty-nine. The Linear Regression model generates relationship between price series of Extreme Networks and its peer or benchmark and helps predict Extreme Networks future price from its past values.
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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| Overlap Studies | ||
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| Volume Indicators |
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 statistic functions 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 | 29.25 | 27.78 | PTB Ratio | 12.78 | 28.89 | 67.14 | 70.5 |
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.
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 Extreme 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, Extreme Networks' short interest history, or implied volatility extrapolated from Extreme Networks options trading.
Trending Themes
If you are a self-driven investor, you will appreciate our idea-generating investing themes. Our themes help you align your investments inspirations with your core values and are essential building blocks of your portfolios. A typical investing theme is an unweighted collection of up to 20 funds, stocks, ETFs, or cryptocurrencies that are programmatically selected from a pull of equities with common characteristics such as industry and growth potential, volatility, or market segment. | Gambling Invested over 90 shares | |
 | Macroaxis Index Invested few shares | |
 | Warren Buffett Holdings Invested over 60 shares | |
 | Impulse Invested over 100 shares | |
 | Banking Invested over 20 shares | |
 | Investor Favorites Invested over 40 shares | |
 | Driverless Cars Invested few shares | |
 | Manufacturing Invested over 30 shares | |
 | Business Services Invested few shares | |
 | Macroaxis Picks Invested over 30 shares | |
 | Momentum Invested few shares |
Additional 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.