Sale by Joseph Vitalone of 45090 shares of Extreme Networks

EXTR Stock  USD 11.51  0.06  0.52%   
Slightly above 59% of Extreme Networks' investor base is looking to short. The analysis of overall sentiment of trading Extreme Networks stock suggests that many investors are alarmed at this time. Extreme Networks' investing sentiment overview a quick insight into current market opportunities from investing in Extreme Networks. Many technical investors use Extreme Networks stock news signals to limit their universe of possible portfolio assets and to time the market correctly.
  
Filed transaction by Extreme Networks Inc officer. General open market or private sale of non-derivative or derivative security

Read at macroaxis.com
Extreme insider trading alert for sale of common stock by Joseph Vitalone, Chief Revenue Officer, on 18th of September 2023. This event was filed by Extreme Networks Inc with SEC on 2023-09-18. Statement of changes in beneficial ownership - SEC Form 4

Extreme Networks Investor Sentiment by Other News Outlets

Investor sentiment, mood or attitude towards Extreme Networks can have a significant impact on its stock price or the market as a whole. This sentiment can be positive or negative, and various factors, such as economic indicators, news events, or market trends, can influence it. When investor sentiment is positive, investors are more likely to buy stocks, increasing demand and increasing the stock price. Positive investor sentiment can be driven by good news about the company or the broader market, such as solid earnings reports or positive economic data.
Note that negative investor sentiment can cause investors to sell stocks, leading to a decrease in demand and a drop in the stock price. Negative sentiment can be driven by factors such as poor earnings reports, negative news about the company or industry, or broader economic concerns. It's important to note that investor sentiment is just one of many factors that can affect stock prices. Other factors, such as company performance, industry trends, and global economic conditions, can also play a significant role in determining the value of a stock.

Extreme Networks Historical Investor Sentiment

Investor biases related to Extreme Networks' public news can be used to forecast risks associated with an investment in Extreme. The trend in average sentiment can be used to explain how an investor holding Extreme can time the market purely based on public headlines and social activities around Extreme Networks. Please note that most equities that are difficult to arbitrage are affected by market sentiment the most.
Extreme Networks' market sentiment shows the aggregated news analyzed to detect positive and negative mentions from the text and comments. The data is normalized to provide daily scores for Extreme Networks and other traded tickers. The bigger the bubble, the more accurate the estimated score. Higher bars for a given day show more participation in the average Extreme Networks news discussions. The higher the estimate score, the more favorable the investor's outlook on Extreme Networks.

Extreme Networks Fundamental Analysis

We analyze Extreme Networks' financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of Extreme Networks using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at the intrinsic value of Extreme Networks based on its fundamental data. In general, a quantitative approach, as applied to this company, focuses on analyzing financial statements comparatively, whereas a qaualitative method uses data that is important to a company's growth but cannot be measured and presented in a numerical way.

Price To Book

Price To Book Comparative Analysis

Extreme Networks is currently under evaluation in price to book category among its peers. Price to Book (P/B) ratio is used to relate a company book value to its current market price. A high P/B ratio indicates that investors expect executives to generate more returns on their investments from a given set of assets. Book value is the accounting value of assets minus liabilities.

Extreme Networks Potential Pair-trading

One of the popular trading techniques among algorithmic traders is to use market-neutral strategies where every trade hedges away some risk. Because there are two separate transactions required, even if one position performs unexpectedly, the other equity can make up some of the losses. Below are some of the equities that can be combined with Extreme Networks stock to make a market-neutral strategy. Peer analysis of Extreme Networks could also be used in its relative valuation, which is a method of valuing Extreme Networks by comparing valuation metrics with similar companies.

Peers

Extreme Networks Related Equities

HPEHewlett Packard   2.91   
0%
93.0%
DGIIDigi International   2.70   
0%
86.0%
NTGRNETGEAR   2.35   
0%
75.0%
HLITHarmonic   1.94   
0%
62.0%
MSIMotorola Solutions   1.81   
0%
58.0%
SATSEchoStar   1.72   
0%
55.0%
CLFDClearfield   1.11   
0%
35.0%
ADTNADTRAN   1.06   
0%
33.0%
CIENCiena Corp   0.72   
0%
23.0%
CMTLComtech Telecommunicatio   0.74   
23.0%
0%
KVHIKVH Industries   1.03   
33.0%
0%
KNKnowles Cor   3.12   
100.0%
0%

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.