Disposition of 785 shares by Meurice Eric of IPG Photonics at 63.4 subject to Rule 16b-3
| GPUS Stock | 5.96 0.40 6.29% |
Slightly above 61% of Hyperscale Data,'s investor base is looking to short. The analysis of the overall investor sentiment regarding Hyperscale Data, suggests that many traders are alarmed. Hyperscale Data,'s investing sentiment can be driven by a variety of factors including economic data, Hyperscale Data,'s earnings reports, geopolitical events, and overall market trends.
Hyperscale |
Filed transaction by IPG Photonics Director. Disposition to the issuer of issuer equity securities pursuant to Rule 16b-3
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Cash Flow Correlation
Hyperscale Data,'s cash-flow correlation analysis can be used to evaluate the unsystematic risk during the given period. It also helps investors identify the Hyperscale Data,'s relationships between the major components of the statement of changes in financial position and other commonly used cash-related accounts. When such correlations are discovered, they may help managers and analysts to enhance performance or determine appealing investment opportunities.Click cells to compare fundamentals
Hyperscale Data, Fundamental Analysis
We analyze Hyperscale Data,'s financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of Hyperscale Data, using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at the intrinsic value of Hyperscale Data, 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.
Profit Margin
Profit Margin Comparative Analysis
Hyperscale Data, is currently under evaluation in profit margin category among its peers. Profit Margin measures overall efficiency of a company and shows its ability to withstand competition as well as defend against adverse conditions such as rising costs, falling prices, decline in sales or management distress. Profit margin tells investors how well the company executes on its overall pricing strategies as well as how effective the company in controlling its costs.
Hyperscale Data, 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 Hyperscale Data, stock to make a market-neutral strategy. Peer analysis of Hyperscale Data, could also be used in its relative valuation, which is a method of valuing Hyperscale Data, by comparing valuation metrics with similar companies.
Peers
Hyperscale Data, Related Equities
| IPGP | IPG Photonics | 0.96 | ||||
| MTX | Minerals Technologies | 0.54 | ||||
| APOG | Apogee Enterprises | 0.51 | ||||
| STKL | SunOpta | 0.77 | ||||
| BYND | Beyond Meat | 1.39 |
Additional Tools for Hyperscale Stock Analysis
When running Hyperscale Data,'s price analysis, check to measure Hyperscale Data,'s 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 Hyperscale Data, is operating at the current time. Most of Hyperscale Data,'s value examination focuses on studying past and present price action to predict the probability of Hyperscale Data,'s future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Hyperscale Data,'s price. Additionally, you may evaluate how the addition of Hyperscale Data, to your portfolios can decrease your overall portfolio volatility.