Hyperscale Data, Stock Price on September 27, 2024
| GPUS Stock | 6.61 0.25 3.93% |
Below is the normalized historical share price chart for Hyperscale Data, extending back to December 17, 1996. This chart has been adjusted for all splits and dividends and is plotted against all major global economic recessions. As of today, the current price of Hyperscale Data, stands at 6.61, as last reported on the 26th of November, with the highest price reaching 6.70 and the lowest price hitting 5.60 during the day.
If you're considering investing in Hyperscale Stock, it is important to understand the factors that can impact its price. Hyperscale Data, holds Efficiency (Sharpe) Ratio of -0.0175, which attests that the entity had a -0.0175% return per unit of risk over the last 3 months. Hyperscale Data, exposes twenty-eight different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check out Hyperscale Data,'s Coefficient Of Variation of 814.79, market risk adjusted performance of (2.50), and Risk Adjusted Performance of 0.1041 to validate the risk estimate we provide.
Common Stock Shares Outstanding is likely to gain to about 4.7 M in 2024, whereas Total Stockholder Equity is likely to drop slightly above 42.5 M in 2024. . Hyperscale Stock price history is provided at the adjusted basis, taking into account all of the recent filings.
200 Day MA 0.5978 | 50 Day MA 0.243 | Beta 3.436 |
Hyperscale |
Sharpe Ratio = -0.0175
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| Cash | Small Risk | Average Risk | High Risk | Huge Risk |
| Negative Returns | GPUS |
Estimated Market Risk
| 4.49 actual daily | 39 61% of assets are more volatile |
Expected Return
| -0.08 actual daily | 0 Most of other assets have higher returns |
Risk-Adjusted Return
| -0.02 actual daily | 0 Most of other assets perform better |
Based on monthly moving average Hyperscale Data, is not performing at its full potential. However, 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 Hyperscale Data, to a well-diversified portfolio.
Price Book 0.313 | Enterprise Value Ebitda (3.32) | Price Sales 0.0542 | Shares Float 38.8 M | Earnings Share 2 K |
Hyperscale Data, Valuation on September 27, 2024
It is possible to determine the worth of Hyperscale Data, on a given historical date. On September 27, 2024 Hyperscale was worth 7.88 at the beginning of the trading date compared to the closed value of 7.77. We use multiple weighted factors in our valuation methodologies to arrive at the intrinsic value of Hyperscale Data, stock. Still, in general, we apply an absolute valuation method to find Hyperscale Data,'s value based on its fundamental and technical indicators available within our service. As compared to an absolute model, our relative valuation model uses a comparative analysis of Hyperscale Data, where we calculate exposure to its market risk and evaluate relevant financial multiples and ratios against Hyperscale Data,'s related companies.
| Open | High | Low | Close | Volume | |
| 7.42 | 7.70 | 7.42 | 7.66 | 18,432 | |
09/27/2024 | 7.88 | 7.88 | 7.52 | 7.77 | 15,691 |
| 7.70 | 8.29 | 7.49 | 8.04 | 33,495 |
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Hyperscale Data, Trading Date Momentum on September 27, 2024
| On September 30 2024 Hyperscale Data, was traded for 8.04 at the closing time. The top price for the day was 8.29 and the lowest listed price was 7.49 . The trading volume for the day was 33.5 K. The trading history from September 30, 2024 was a factor to the next trading day price appreciation. The overall trading delta against the next closing price was 3.47% . The trading delta at closing time against the current closing price is 0.64% . |
Hyperscale Data, Fundamentals Correlations and Trends
By evaluating Hyperscale Data,'s financials over time, investors can gain insight into future company performance. However, you can also analyze the published financial statements to find patterns among Hyperscale Data,'s main balance sheet or income statement drivers and many other relevant indicators that can statistically be found significantly correlated or uncorrelated. Hyperscale financial account trend analysis is a perfect complement when working with valuation or volatility modules.About Hyperscale Data, Stock history
Hyperscale Data, investors dedicate a lot of time and effort to gaining insight into how a market's past behavior relates to its future. Access to timely market data for Hyperscale is vital when making an investment decision, and regardless of whether you use fundamental or technical analysis, your return on investment in Hyperscale Data, will depend on recognizing future opportunities and eliminating past mistakes. Historical data analysis is the study of market behavior over a given time. Recorded market-related data such as price, volatility, and volume can be quantified and studied over a defined period. Through a detailed examination of a market's past behavior, traders and investors can gain perspective on the inner workings of that market. The information obtained throughout analyzing Hyperscale Data, stock prices may prove useful in developing a viable investing in Hyperscale Data,
| Last Reported | Projected for Next Year | ||
| Common Stock Shares Outstanding | 4.5 M | 4.7 M |
Hyperscale Data, Stock Technical Analysis
Hyperscale Data, technical stock analysis exercises models and trading practices based on price and volume transformations, such as the moving averages, relative strength index, regressions, price and return correlations, business cycles, stock market cycles, or different charting patterns.
Price Boundaries
Hyperscale Data, Period Price Range
Low | November 26, 2024
| High |
0.00 | 0.00 |
Hyperscale Data, cannot be verified against its exchange. Please verify the symbol is currently traded on AMEX Exchange. If you still believe the symbol you are trying to look up is valid, please let us know, and we will check it as soon as possible.
Hyperscale Data, November 26, 2024 Market Strength
Market strength indicators help investors to evaluate how Hyperscale Data, stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Hyperscale Data, shares will generate the highest return on investment. By undertsting and applying Hyperscale Data, stock market strength indicators, traders can identify Hyperscale Data, entry and exit signals to maximize returns
Hyperscale Data, Technical and Predictive Indicators
Predictive indicators are helping investors to find signals for Hyperscale Data,'s price direction in advance. Along with the technical and fundamental analysis of Hyperscale Stock historical price patterns, it is also worthwhile for investors to track various predictive indicators of Hyperscale to make sure they correctly time the market and exploit it's hidden potentials. Even though most predictive indicators are useful for the short-term horizon, it's virtually impossible to predict the unforeseen market. For traders with a short-term horizon, predictive indicators add value when properly applied. Long-term investors, however, may find many predictive indicators less useful.
| Risk Adjusted Performance | 0.1041 | |||
| Jensen Alpha | 50.16 | |||
| Total Risk Alpha | (13.57) | |||
| Sortino Ratio | 7.39 | |||
| Treynor Ratio | (2.51) |
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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.