Hyperscale Data, Stock Buy Hold or Sell Recommendation
| GPUS Stock | 2.42 0.05 2.11% |
Given the investment horizon of 90 days and your above-average risk tolerance, our recommendation regarding Hyperscale Data, is 'Strong Sell'. A buy or sell recommendation is an automated directive regarding whether to purchase or sell Hyperscale Data, given historical horizon and risk tolerance. When we issue a 'buy' or 'sell' recommendation for Hyperscale Data,, the advice is generated through an automated system that utilizes algorithms and statistical models.
Check out Hyperscale Data, Analyst Recommendation to compare Macroaxis Buy or Sell Recommendation with the current analyst consensus. To check ratings for multiple equity instruments, please use the Instant Ratings tool. For more information on how to buy Hyperscale Stock please use our How to Invest in Hyperscale Data, guide. Note, we conduct extensive research on individual companies such as Hyperscale and provide practical buy, sell, or hold advice based on investors' constraints. Hyperscale Data,. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in employment.
Hyperscale |
Execute Hyperscale Data, Buy or Sell Advice
The Hyperscale recommendation should be used to complement the buy-or-sell advice compiled from the current analysts' consensus on Hyperscale Data,. Macroaxis does not own or have any residual interests in Hyperscale Data, or other equities on which the buy-or-sell advice is provided. Please provide your input below to execute Hyperscale Data,'s advice using the current market data and latest reported fundamentals.
Time Horizon
3 Months |
Risk Tolerance
I am an educated risk taker |
 |  |
Strong Sell
Market Performance | Very Weak | Details | |
Volatility | Dangerous | Details | |
Hype Condition | Stale | Details | |
Current Valuation | Overvalued | Details | |
Odds Of Distress | Very High | Details | |
Economic Sensitivity | Actively responds to the market | Details | |
Investor Sentiment | Interested | Details | |
Analyst Consensus | Not Available | Details | |
Reporting Quality (M-Score) | Unavailable | Details |
Hyperscale Data, Trading Alerts and Improvement Suggestions
| Hyperscale Data, generated a negative expected return over the last 90 days | |
| Hyperscale Data, has high historical volatility and very poor performance | |
| Hyperscale Data, has a very high chance of going through financial distress in the upcoming years | |
| Hyperscale Data, was previously known as AULT Old and was traded on NASDAQ Exchange under the symbol AULT. | |
| The company reported the previous year's revenue of 156.44 M. Net Loss for the year was (231.03 M) with profit before overhead, payroll, taxes, and interest of 0. | |
| Hyperscale Data, generates negative cash flow from operations | |
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Hyperscale Data, Returns Distribution Density
The distribution of Hyperscale Data,'s historical returns is an attempt to chart the uncertainty of Hyperscale Data,'s future price movements. The chart of the probability distribution of Hyperscale Data, daily returns describes the distribution of returns around its average expected value. We use Hyperscale Data, price's Value At Risk and its Upside Potential as a relative measure of the distribution. The graph of the distribution of Hyperscale Data, returns is essential to provide solid investment advice for Hyperscale Data,.
| Mean Return | -1.3 |
| Value At Risk | -8.64 |
| Potential Upside | 13.56 |
| Standard Deviation | 7.36 |
Return Density |
| Distribution |
Investment risk management requires an estimate of the probability of extreme price changes. Therefore, the correct representation of the distribution of Hyperscale Data, historical returns presented in an easy-to-digest graphical form helps investors and money managers understand the risk-reward trade-off of different investement strategies.
Hyperscale Data, Greeks
Most traded equities are subject to two types of risk - systematic (i.e., market) and unsystematic (i.e., nonmarket or company-specific) risk. Unsystematic risk is the risk that events specific to Hyperscale Data, or Internet Software & Services (discontinued effective close of September 28, 2018) sector will adversely affect the stock's price. This type of risk can be diversified away by owning several different stocks in different industries whose stock prices have shown a small correlation to each other. On the other hand, systematic risk is the risk that Hyperscale Data,'s price will be affected by overall stock market movements and cannot be diversified away. So, no matter how many positions you have, you cannot eliminate market risk. However, you can measure a Hyperscale stock's historical response to market movements and buy it if you are comfortable with its volatility direction. Beta and standard deviation are two commonly used measures to help you make the right decision.
α | Alpha over Dow Jones | -1.23 | |
β | Beta against Dow Jones | 1.22 | |
σ | Overall volatility | 7.52 | |
Ir | Information ratio | -0.17 |
Hyperscale Data, Volatility Alert
Hyperscale Data, is displaying above-average volatility over the selected time horizon. Understanding different market volatility trends often help investors to time the market. Properly using volatility indicators enable traders to measure Hyperscale Data,'s stock risk against market volatility during both bullish and bearish trends. The higher level of volatility that comes with bear markets can directly impact Hyperscale Data,'s stock price while adding stress to investors as they watch their shares' value plummet. This usually forces investors to rebalance their portfolios by buying different financial instruments as prices fall.Hyperscale Data, Fundamentals Vs Peers
Comparing Hyperscale Data,'s fundamentals to the average values of its peers is one of the most widely used and accepted methods of equity analyses. It helps to analyze Hyperscale Data,'s direct or indirect competition across all of the common fundamentals between Hyperscale Data, and the related equities. This way, we can detect undervalued stocks with similar characteristics as Hyperscale Data, or determine the stocks which would be an excellent addition to an existing portfolio. Peer analysis of Hyperscale Data,'s fundamental indicators could also be used in its relative valuation, which is a method of valuing Hyperscale Data, by comparing valuation metrics with those of similar companies.
| Better Than Average | Worse Than Average | Compare Hyperscale Data, to competition |
| Fundamentals | Hyperscale Data, | Peer Average |
| Return On Equity | -2.09 | -0.31 |
| Return On Asset | -0.12 | -0.14 |
| Profit Margin | (0.99) % | (1.27) % |
| Operating Margin | (0.67) % | (5.51) % |
| Current Valuation | 131.57 M | 16.62 B |
| Shares Outstanding | 38.85 M | 571.82 M |
| Shares Owned By Insiders | 0.10 % | 10.09 % |
| Shares Owned By Institutions | 1.81 % | 39.21 % |
| Number Of Shares Shorted | 1.25 M | 4.71 M |
| Price To Book | 0.31 X | 9.51 X |
| Price To Sales | 0.05 X | 11.42 X |
| Revenue | 156.44 M | 9.43 B |
| EBITDA | (38.33 M) | 3.9 B |
| Net Income | (231.03 M) | 570.98 M |
| Total Debt | 27 M | 5.32 B |
| Book Value Per Share | 0.74 X | 1.93 K |
| Cash Flow From Operations | (5.43 M) | 971.22 M |
| Short Ratio | 1.03 X | 4.00 X |
| Earnings Per Share | 1,982 X | 3.12 X |
| Number Of Employees | 587 | 18.84 K |
| Beta | 3.44 | -0.15 |
| Market Capitalization | 8.36 M | 19.03 B |
| Total Asset | 299.19 M | 29.47 B |
| Retained Earnings | (567.47 M) | 9.33 B |
| Working Capital | (66.34 M) | 1.48 B |
| Net Asset | 299.19 M |
Note: Insider Trading [view details]
Hyperscale Data, Market Momentum
Traders often use several daily momentume indicators to supplement a more traditional technical analysis when analyzing securities such as Hyperscale . With many different options, investors must choose the best indicators for them and familiarize themselves with how they work. We suggest combining traditional momentum indicators with more near-term forms of technical analysis such as Accumulation Distribution or Daily Balance Of Power. With their quantitative nature, daily value technical indicators can also be incorporated into your automated trading systems.
About Hyperscale Data, Buy or Sell Advice
When is the right time to buy or sell Hyperscale Data,? Buying financial instruments such as Hyperscale Stock isn't very hard. However, what challenging for most investors is doing it at the right time to beat the market. Proper market timing is something most people cannot do without sophisticated tools, which help to isolate the right opportunities. Macroaxis provides hands-on modules to deliver winning trades and diversify your portfolios on a daily basis. Most of our advising modules are very easy to use and apply.
Please read more on our stock advisor page.
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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.