Earnings Flash FUNKO Posts Q3 EPS 0.03 -November 02 ... - Marketscreener.com
5263 Stock | TWD 162.00 1.00 0.62% |
Slightly above 53% of Brogent Technologies' investor base is interested to short. The analysis of current outlook of investing in Brogent Technologies suggests that many traders are impartial regarding Brogent Technologies' prospects. Brogent Technologies' investing sentiment can be driven by a variety of factors including economic data, Brogent Technologies' earnings reports, geopolitical events, and overall market trends.
Brogent Technologies stock news, alerts, and headlines are usually related to its technical, predictive, social, and fundamental indicators. It can reflect on the current distribution of Brogent daily returns and investor perception about the current price of Brogent Technologies as well as its diversification or hedging effects on your existing portfolios.
Brogent |
Earnings Flash FUNKO Posts Q3 EPS 0.03 -November 02 ... Marketscreener.com
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Brogent Technologies Fundamental Analysis
We analyze Brogent Technologies' financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of Brogent Technologies using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at the intrinsic value of Brogent Technologies 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.
Z Score
Z Score Comparative Analysis
Brogent Technologies is currently under evaluation in z score category among its peers. Z-Score is a simple linear, multi-factor model that measures the financial health and economic stability of a company. The score is used to predict the probability of a firm going into bankruptcy within next 24 months or two fiscal years from the day stated on the accounting statements used to calculate it. The model uses five fundamental business ratios that are weighted according to algorithm of Professor Edward Altman who developed it in the late 1960s at New York University..
Brogent Technologies 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 Brogent Technologies stock to make a market-neutral strategy. Peer analysis of Brogent Technologies could also be used in its relative valuation, which is a method of valuing Brogent Technologies by comparing valuation metrics with similar companies.
Peers
Brogent Technologies Related Equities
9921 | Giant Manufacturing | 1.67 | ||||
6697 | Information Technology | 0.78 | ||||
9945 | Ruentex Development | 0.77 | ||||
6438 | Symtek Automation | 0.49 | ||||
6209 | Kinko Optical | 0.40 | ||||
9908 | Great Taipei | 0.33 | ||||
9933 | CTCI Corp | 0.61 | ||||
6231 | Insyde Software | 4.09 |
Additional Tools for Brogent Stock Analysis
When running Brogent Technologies' price analysis, check to measure Brogent Technologies' 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 Brogent Technologies is operating at the current time. Most of Brogent Technologies' value examination focuses on studying past and present price action to predict the probability of Brogent Technologies' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Brogent Technologies' price. Additionally, you may evaluate how the addition of Brogent Technologies to your portfolios can decrease your overall portfolio volatility.