Billionaire owner of Aussie abalone farmer takes 11 percent stake in Clean Seas - Undercurrent News
| CTUNF Stock | USD 0.14 0.00 0.00% |
Roughly 56% of Clean Seas' investor base is looking to short. The analysis of overall sentiment of trading Clean Seas Seafood pink sheet suggests that many investors are alarmed at this time. The current market sentiment, together with Clean Seas' historical and current headlines, can help investors time the market. In addition, many technical investors use Clean Seas Seafood stock news signals to limit their universe of possible portfolio assets.
Clean Seas pink sheet news, alerts, and headlines are usually related to its technical, predictive, social, and fundamental indicators. It can reflect on the current distribution of Clean daily returns and investor perception about the current price of Clean Seas Seafood as well as its diversification or hedging effects on your existing portfolios.
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Billionaire owner of Aussie abalone farmer takes 11 percent stake in Clean Seas Undercurrent News
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Clean Seas Fundamental Analysis
We analyze Clean Seas' financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of Clean Seas using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at the intrinsic value of Clean Seas 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 Earning
Price To Earning Comparative Analysis
Clean Seas is currently under evaluation in price to earning category among its peers. Price to Earnings ratio is typically used for current valuation of a company and is one of the most popular ratios that investors monitor daily. Holding a low PE stock is less risky because when a company's profitability falls, it is likely that earnings will also go down as well. In other words, if you start from a lower position, your downside risk is limited. There are also some investors who believe that low Price to Earnings ratio reflects the low pricing because a given company is in trouble. On the other hand, a higher PE ratio means that investors are paying more for each unit of profit.
Clean Seas Seafood 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 Clean Seas pink sheet to make a market-neutral strategy. Peer analysis of Clean Seas could also be used in its relative valuation, which is a method of valuing Clean Seas by comparing valuation metrics with similar companies.
Peers
Clean Seas Related Equities
| ESPR | Esperion Therapeutics | 10.24 | ||||
| PVH | PVH Corp | 1.39 | ||||
| BOOT | Boot Barn | 0.67 | ||||
| NKE | Nike | 0.55 | ||||
| SCVL | Shoe Carnival | 0.45 | ||||
| AVDL | Avadel Pharmaceuticals | 0.98 | ||||
| LNSR | LENSAR | 2.08 |
Complementary Tools for Clean Pink Sheet analysis
When running Clean Seas' price analysis, check to measure Clean Seas' 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 Clean Seas is operating at the current time. Most of Clean Seas' value examination focuses on studying past and present price action to predict the probability of Clean Seas' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Clean Seas' price. Additionally, you may evaluate how the addition of Clean Seas to your portfolios can decrease your overall portfolio volatility.
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