Insiders with their considerable ownership were the key benefactors as Xlife Sciences AG touches CHF207m market cap - Simply Wall St
| XLS Stock | 26.30 0.10 0.38% |
Slightly above 54% of Xlife Sciences' investor base is interested to short. The analysis of current outlook of investing in Xlife Sciences AG suggests that many traders are impartial regarding Xlife Sciences' prospects. Xlife Sciences' investing sentiment can be driven by a variety of factors including economic data, Xlife Sciences' earnings reports, geopolitical events, and overall market trends.
Xlife Sciences stock news, alerts, and headlines are usually related to its technical, predictive, social, and fundamental indicators. It can reflect on the current distribution of Xlife daily returns and investor perception about the current price of Xlife Sciences AG as well as its diversification or hedging effects on your existing portfolios.
Xlife |
Insiders with their considerable ownership were the key benefactors as Xlife Sciences AG touches CHF207m market cap Simply Wall St
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Xlife Sciences Fundamental Analysis
We analyze Xlife Sciences' financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of Xlife Sciences using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at the intrinsic value of Xlife Sciences 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.
Beta
Beta Comparative Analysis
Xlife Sciences is currently under evaluation in beta category among its peers. Beta is one of the most important measures of equity market volatility. Beta can be thought of as asset elasticity or sensitivity to market. In other words, it is a number that shows the relationship of an equity instrument to the financial market in which this instrument is traded. For example, if Beta of equity is 2, it is expected to significantly outperform market when the market is going up and significantly underperform when the market is going down. Similarly, Beta of 1 indicates that an asset and market will generate similar returns over time.
Xlife Sciences AG 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 Xlife Sciences stock to make a market-neutral strategy. Peer analysis of Xlife Sciences could also be used in its relative valuation, which is a method of valuing Xlife Sciences by comparing valuation metrics with similar companies.
Peers
Xlife Sciences Related Equities
| TKBP | Thurgauer Kantonalbank | 0.79 | ||||
| METN | Metall Zug | 0.44 | ||||
| BSKP | Basler Kantonalbank | 0.29 | ||||
| VPBN | VP Bank | 0.26 | ||||
| BLKB | Basellandschaftliche | 0.23 | ||||
| ZURN | Zurich Insurance | 0.32 | ||||
| GLKBN | Glarner Kantonalbank | 0.48 |
Additional Tools for Xlife Stock Analysis
When running Xlife Sciences' price analysis, check to measure Xlife Sciences' 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 Xlife Sciences is operating at the current time. Most of Xlife Sciences' value examination focuses on studying past and present price action to predict the probability of Xlife Sciences' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Xlife Sciences' price. Additionally, you may evaluate how the addition of Xlife Sciences to your portfolios can decrease your overall portfolio volatility.