Hyperscale Data Stock Performance
| GPUS Stock | 0.20 0.01 4.76% |
The company retains a Market Volatility (i.e., Beta) of -0.0784, which attests to not very significant fluctuations relative to the market. As returns on the market increase, returns on owning Hyperscale Data are expected to decrease at a much lower rate. During the bear market, Hyperscale Data is likely to outperform the market. At this point, Hyperscale Data has a negative expected return of -0.46%. Please make sure to check out Hyperscale Data's total risk alpha, kurtosis, as well as the relationship between the Kurtosis and price action indicator , to decide if Hyperscale Data performance from the past will be repeated at some point in the near future.
Risk-Adjusted Performance
Weakest
Weak | Strong |
Over the last 90 days Hyperscale Data has generated negative risk-adjusted returns adding no value to investors with long positions. In spite of uncertain performance in the last few months, the Stock's basic indicators remain comparatively stable which may send shares a bit higher in March 2026. The newest uproar may also be a sign of mid-term up-swing for the firm private investors. ...more
| Begin Period Cash Flow | 15.4 M | |
| Total Cashflows From Investing Activities | 3.2 M |
Hyperscale | Build AI portfolio with Hyperscale Stock |
Hyperscale Data Relative Risk vs. Return Landscape
If you would invest 38.00 in Hyperscale Data on November 1, 2025 and sell it today you would lose (17.00) from holding Hyperscale Data or give up 44.74% of portfolio value over 90 days. Hyperscale Data is currently does not generate positive expected returns and assumes 10.8674% risk (volatility on return distribution) over the 90 days horizon. In different words, 97% of stocks are less volatile than Hyperscale, and 99% of all traded equity instruments are projected to make higher returns than the company over the 90 days investment horizon. Expected Return |
| Risk |
Hyperscale Data Target Price Odds to finish over Current Price
The tendency of Hyperscale Stock price to converge on an average value over time is a known aspect in finance that investors have used since the beginning of the stock market for forecasting. However, many studies suggest that some traded equity instruments are consistently mispriced before traders' demand and supply correct the spread. One possible conclusion to this anomaly is that these stocks have additional risk, for which investors demand compensation in the form of extra returns.
| Current Price | Horizon | Target Price | Odds to move above the current price in 90 days |
| 0.20 | 90 days | 0.20 | under 95 |
Based on a normal probability distribution, the odds of Hyperscale Data to move above the current price in 90 days from now is under 95 (This Hyperscale Data probability density function shows the probability of Hyperscale Stock to fall within a particular range of prices over 90 days) .
Given the investment horizon of 90 days Hyperscale Data has a beta of -0.0784. This usually indicates as returns on the benchmark increase, returns on holding Hyperscale Data are expected to decrease at a much lower rate. During a bear market, however, Hyperscale Data is likely to outperform the market. Additionally Hyperscale Data has a negative alpha, implying that the risk taken by holding this instrument is not justified. The company is significantly underperforming the Dow Jones Industrial. Hyperscale Data Price Density |
| Price |
Predictive Modules for Hyperscale Data
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Hyperscale Data. Regardless of method or technology, however, to accurately forecast the stock market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the stock market accurately is still an essential part of the overall investment decision process. Using different forecasting techniques and comparing the results might improve your chances of accuracy even though unexpected events may often change the market sentiment and impact your forecasting results.Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Hyperscale Data's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
Hyperscale Data Risk Indicators
For the most part, the last 10-20 years have been a very volatile time for the stock market. Hyperscale Data is not an exception. The market had few large corrections towards the Hyperscale Data's value, including both sudden drops in prices as well as massive rallies. These swings have made and broken many portfolios. An investor can limit the violent swings in their portfolio by implementing a hedging strategy designed to limit downside losses. If you hold Hyperscale Data, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of Hyperscale Data within the framework of very fundamental risk indicators.α | Alpha over Dow Jones | -0.47 | |
β | Beta against Dow Jones | -0.08 | |
σ | Overall volatility | 0.05 | |
Ir | Information ratio | -0.05 |
Hyperscale Data Alerts and Suggestions
In today's market, stock alerts give investors the competitive edge they need to time the market and increase returns. Checking the ongoing alerts of Hyperscale Data for significant developments is a great way to find new opportunities for your next move. Suggestions and notifications for Hyperscale Data can help investors quickly react to important events or material changes in technical or fundamental conditions and significant headlines that can affect investment decisions.| 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 some characteristics of a very speculative penny stock | |
| Hyperscale Data has a very high chance of going through financial distress in the upcoming years | |
| The company reported the previous year's revenue of 106.66 M. Net Loss for the year was (61.76 M) with profit before overhead, payroll, taxes, and interest of 24.3 M. | |
| Hyperscale Data generates negative cash flow from operations | |
| Latest headline from news.google.com: Sidus Space Trading Up 20.6 percent - Heres Why - MarketBeat |
Hyperscale Data Price Density Drivers
Market volatility will typically increase when nervous long traders begin to feel the short-sellers pressure to drive the market lower. The future price of Hyperscale Stock often depends not only on the future outlook of the current and potential Hyperscale Data's investors but also on the ongoing dynamics between investors with different trading styles. Because the market risk indicators may have small false signals, it is better to identify suitable times to hedge a portfolio using different long/short signals. Hyperscale Data's indicators that are reflective of the short sentiment are summarized in the table below.
| Common Stock Shares Outstanding | 1.1 M | |
| Cash And Short Term Investments | 25.3 M |
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 | -3.33 | |||
| Return On Asset | -0.0882 | |||
| Profit Margin | (0.49) % | |||
| Operating Margin | (0.39) % | |||
| Current Valuation | 126.01 M | |||
| Shares Outstanding | 323.83 M | |||
| Price To Book | 1.43 X | |||
| Price To Sales | 0.84 X | |||
| Revenue | 106.66 M | |||
| EBITDA | (18.07 M) | |||
| Total Debt | 120.3 M | |||
| Book Value Per Share | 0.40 X | |||
| Cash Flow From Operations | (19.41 M) | |||
| Earnings Per Share | (28.33) X | |||
| Total Asset | 220.77 M | |||
| Retained Earnings | (628.95 M) | |||
About Hyperscale Data Performance
Assessing Hyperscale Data's fundamental ratios provides investors with valuable insights into Hyperscale Data's financial health and overall profitability. This information is crucial for making informed investment decisions. A high ROA would indicate that the Hyperscale Data is effectively leveraging its assets and equity to generate significant profits, making it an appealing investment. Conversely, low Return on Assets could signal underlying management issues in assets and equity, indicating a necessity for operational refinements. Please also refer to our technical analysis and fundamental analysis pages.
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 generated a negative expected return over the last 90 days | |
| Hyperscale Data has high historical volatility and very poor performance | |
| Hyperscale Data has some characteristics of a very speculative penny stock | |
| Hyperscale Data has a very high chance of going through financial distress in the upcoming years | |
| The company reported the previous year's revenue of 106.66 M. Net Loss for the year was (61.76 M) with profit before overhead, payroll, taxes, and interest of 24.3 M. | |
| Hyperscale Data generates negative cash flow from operations | |
| Latest headline from news.google.com: Sidus Space Trading Up 20.6 percent - Heres Why - MarketBeat |
- 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.
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.