Hyperscale Data Stock Performance
| GPUS-PD Stock | 22.55 1.22 5.72% |
Hyperscale Data has a performance score of 1 on a scale of 0 to 100. The company retains a Market Volatility (i.e., Beta) of 0.81, which attests to possible diversification benefits within a given portfolio. As returns on the market increase, Hyperscale Data's returns are expected to increase less than the market. However, during the bear market, the loss of holding Hyperscale Data is expected to be smaller as well. Hyperscale Data right now retains a risk of 3.79%. Please check out Hyperscale Data jensen alpha, sortino ratio, maximum drawdown, as well as the relationship between the total risk alpha and treynor ratio , to decide if Hyperscale Data will be following its current trending patterns.
Risk-Adjusted Performance
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Compared to the overall equity markets, risk-adjusted returns on investments in Hyperscale Data are ranked lower than 1 (%) of all global equities and portfolios over the last 90 days. In spite of rather sound fundamental indicators, Hyperscale Data is not utilizing all of its potentials. The current stock price tumult, may contribute to shorter-term losses for the shareholders. ...more
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Hyperscale Data Relative Risk vs. Return Landscape
If you would invest 2,275 in Hyperscale Data on October 8, 2025 and sell it today you would lose (20.00) from holding Hyperscale Data or give up 0.88% of portfolio value over 90 days. Hyperscale Data is generating 0.0561% of daily returns and assumes 3.787% volatility on return distribution over the 90 days horizon. Simply put, 33% of stocks are less volatile than Hyperscale, and 99% of all equity instruments are likely to generate higher returns than the company over the next 90 trading days. Expected Return |
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Hyperscale Data Market Risk Analysis
Today, many novice investors tend to focus exclusively on investment returns with little concern for Hyperscale Data's investment risk. Standard deviation is the most common way to measure market volatility of stocks, such as Hyperscale Data, and traders can use it to determine the average amount a Hyperscale Data's price has deviated from the expected return over a period of time. It is calculated by determining the expected price for the established period and then subtracting this figure from each price point. The differences are then squared, summed, and averaged to produce the variance.
Sharpe Ratio = 0.0148
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| Cash | Small Risk | Average Risk | GPUS-PD | Huge Risk |
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Based on monthly moving average Hyperscale Data is performing at about 1% of its full potential. If added to a well diversified portfolio the total return can be enhanced and market risk can be reduced. You can increase risk-adjusted return of Hyperscale Data by adding it to a well-diversified portfolio.
Hyperscale Data Fundamentals Growth
Hyperscale Stock prices reflect investors' perceptions of the future prospects and financial health of Hyperscale Data, and Hyperscale Data fundamentals are critical determinants of its market performance. Overall, investors pay close attention to revenue and earnings growth, profit margins, and debt levels. These fundamentals can have a significant impact on Hyperscale Stock performance.
| Return On Equity | -1.31 | |||
| Return On Asset | -0.0935 | |||
| Profit Margin | (0.39) % | |||
| Operating Margin | (0.58) % | |||
| Current Valuation | 7.89 B | |||
| Revenue | 94.65 M | |||
| EBITDA | (15.9 M) | |||
| Book Value Per Share | 0.41 X | |||
About Hyperscale Data Performance
By analyzing Hyperscale Data's fundamental ratios, stakeholders can gain valuable insights into Hyperscale Data's financial health, operational efficiency, and overall profitability, helping them make informed investment and management decisions. For instance, if Hyperscale Data has a high ROA and ROE, it suggests that the company is efficiently using its assets and equity to generate substantial profits, making it an attractive investment. Conversely, if Hyperscale Data has a low ROA and ROE, it may indicate underlying issues in asset and equity management, signaling a need for operational improvements.
Things to note about Hyperscale Data performance evaluation
Checking the ongoing alerts about Hyperscale Data for important developments is a great way to find new opportunities for your next move. Stock alerts and notifications screener for Hyperscale Data help investors to be notified of important events, changes in technical or fundamental conditions, and significant headlines that can affect investment decisions.| Hyperscale Data had very high historical volatility over the last 90 days | |
| Hyperscale Data has high likelihood to experience some financial distress in the next 2 years |
- Analyzing Hyperscale Data's financial statements, including its income statement, balance sheet, and cash flow statement, helps in understanding its overall financial health and growth potential.
- Getting a closer look at valuation ratios like price-to-earnings (P/E) ratio, price-to-sales (P/S) ratio, and price-to-book (P/B) ratio help in understanding whether Hyperscale Data's stock is overvalued or undervalued compared to its peers.
- Examining Hyperscale Data's industry or sector and how it is performing can give you an idea of its growth potential and how it is positioned relative to its competitors.
- Evaluating Hyperscale Data's management team can have a significant impact on its success or failure. Reviewing the track record and experience of Hyperscale Data's management team can help you assess the Company's leadership.
- Pay attention to analyst opinions and ratings of Hyperscale Data's stock. These opinions can provide insight into Hyperscale Data's potential for growth and whether the stock is currently undervalued or overvalued.
Complementary 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.
| Portfolio Volatility Check portfolio volatility and analyze historical return density to properly model market risk | |
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