Extreme Networks Stock Math Operators Price Series Summation

EXTR Stock  USD 16.60  0.18  1.10%   
Extreme Networks math operators tool provides the execution environment for running the Price Series Summation operator and other technical functions against Extreme Networks. Extreme Networks value trend is the prevailing direction of the price over some defined period of time. The concept of trend is an important idea in technical analysis, including the analysis of math operators indicators. As with most other technical indicators, the Price Series Summation operator function is designed to identify and follow existing trends. Math Operators module provides interface to determine different price movement patterns of similar pairs of equity instruments such as null and Extreme Networks.

Operator
The output start index for this execution was zero with a total number of output elements of sixty-one. Extreme Networks Price Series Summation is a cross summation of Extreme Networks price series and its benchmark/peer.

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.

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 math operators 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 Outstanding60.4150.6329.2527.78
PTB Ratio12.7828.8967.1470.5
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.
Hype
Prediction
LowEstimatedHigh
13.7716.4719.17
Details
Intrinsic
Valuation
LowRealHigh
14.9420.4823.18
Details
Naive
Forecast
LowNextHigh
13.8016.5019.20
Details
7 Analysts
Consensus
LowTargetHigh
29.9232.8836.50
Details

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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.