Hyperscale Data Stock Alpha and Beta Analysis

GPUS-PD Stock   23.05  0.17  0.74%   
This module allows you to check different measures of market premium (i.e., alpha and beta) for all equities such as Hyperscale Data. It also helps investors analyze the systematic and unsystematic risks associated with investing in Hyperscale Data over a specified time horizon. Remember, high Hyperscale Data's alpha is almost always a sign of good performance; however, a high beta will depend on investors' risk tolerance level and may signal increased volatility and potential future overvaluation. Key technical indicators related to Hyperscale Data's market risk premium analysis include:
Beta
1.34
Alpha
0.0785
Risk
3.77
Sharpe Ratio
0.0312
Expected Return
0.12
Please note that although Hyperscale Data alpha is a measure of relative return and represented here as a single number, it indicates the percentage above or below your selected benchmark (i.e., Dow Jones Industrial index.) So in this particular case, Hyperscale Data did 0.08  better than the index. Remember, a high alpha is always good. Beta, on the other hand, measures the volatility (or risk) of an investment. It is an indication of Hyperscale Data stock's relative risk over its benchmark. Hyperscale Data has a beta of 1.34  . As the market goes up, the company is expected to outperform it. However, if the market returns are negative, Hyperscale Data will likely underperform. .
Alpha is a measure of relative performance on a risk-adjusted basis, while beta measures volatility against the benchmark. The goal is to know if an investor is being compensated for the volatility risk taken. The return on investment might be better than its reference but still not compensate for the assumption of the risk.
Check out Hyperscale Data Analysis, Hyperscale Data Valuation, Hyperscale Data Correlation, Hyperscale Data Hype Analysis, Hyperscale Data Volatility, Hyperscale Data Price History and analyze Hyperscale Data Performance.
For information on how to trade Hyperscale Stock refer to our How to Trade Hyperscale Stock guide.

Hyperscale Data Market Premiums

Investors always prefer to have the highest possible return on investment, coupled with the lowest possible volatility. Hyperscale Data market risk premium is the additional return an investor will receive from holding Hyperscale Data long position in a well-diversified portfolio. The market premium is part of the Capital Asset Pricing Model (CAPM), which most analysts and investors use to calculate the acceptable rate of return on investment in Hyperscale Data. At the center of the CAPM is the concept of risk and reward, which is usually communicated by investors using alpha and beta measures. Alpha and beta are two of the key measurements used to evaluate Hyperscale Data's performance over market.
α0.08   β1.34

Hyperscale Data expected buy-and-hold returns

Although buy-and-hold investment strategy may not appeal to all investors, it may be used as a good measure of Hyperscale Data's Buy-and-hold return. Our buy-and-hold chart shows how Hyperscale Data performed over your current time horizon against a typical interest-earning bank account and a selected benchmark.

Hyperscale Data Market Price Analysis

Market price analysis 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 understating and applying Hyperscale Data stock market price indicators, traders can identify Hyperscale Data position entry and exit signals to maximize returns.

Hyperscale Data Return and Market Media

The median price of Hyperscale Data for the period between Mon, Nov 3, 2025 and Sun, Feb 1, 2026 is 21.98 with a coefficient of variation of 5.92. The daily time series for the period is distributed with a sample standard deviation of 1.29, arithmetic mean of 21.74, and mean deviation of 1.01. The Stock received a lot of media exposure during the period.
 Price Growth (%)  
       Timeline  
1
Hyperscale Data, Inc. Stock Soars After Completion of 125 Million Equity Program - CoinCentral
11/05/2025
2
Can Hyperscale Data Inc. stock beat analyst consensus - 2025 Earnings Impact AI Based BuySell Signal Reports - B NI V
11/28/2025
3
Will Hyperscale Data Inc. stock deliver compounding returns - July 2025 Market Mood AI Forecasted Stock Moves - Newser
12/04/2025
4
Hyperscale Data Stock on December 10, 2025 Price, Bitcoin Treasury Milestone and Forecast - ts2.tech
12/10/2025
5
Hyperscale Data Declares Dividends for Preferred Stocks - TipRanks
12/17/2025
6
Whats Driving the Market Sentiment Around Hyperscale Data Inc - Sahm
12/24/2025
7
12 Industrials Stocks Moving In Fridays Intraday Session - Benzinga
01/02/2026
8
Hyperscale Data Bitcoin Treasury at 532.6978 Bitcoin and Held Approximately 43.1 Million of Cash as of January 2, 2026 - Finviz
01/06/2026
9
AI data center firm Hyperscale Data holds 49M in Bitcoin, targets 100M - Stock Titan
01/13/2026
10
Hyperscale Data Declares Monthly Cash Dividend of 0.20833 per Share of Series E Preferred Stock - Intellectia AI
01/16/2026
11
AI data firm Hyperscale Data targets 100M Bitcoin stash - Stock Titan
01/27/2026

About Hyperscale Data Beta and Alpha

For many years both, Alpha and Beta indicators are used by professional money managers as critical performance measurement tools across virtually all financial instruments including Hyperscale or other stocks. Alpha measures the amount that position in Hyperscale Data has returned in comparison to a selected market index or another relevant benchmark. In other words, Alpha is the excess return on an investment relative to the performance of your selected benchmark. Beta, on the other hand, measures the relative risk of your investment.
Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards Hyperscale Data in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, Hyperscale Data's short interest history, or implied volatility extrapolated from Hyperscale Data options trading.

Build Portfolio with Hyperscale Data

Your optimized portfolios are the building block of your wealth. We provide an intuitive interface to determine which securities in a portfolio should be removed or rebalanced to achieve better diversification, find the right mix of securities that minimizes portfolio risk for a given return, or maximize portfolio expected return for a given risk level.

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Align your risk with return expectations

By capturing your risk tolerance and investment horizon Macroaxis technology of instant portfolio optimization will compute exactly how much risk is acceptable for your desired return expectations
When determining whether Hyperscale Data is a strong investment it is important to analyze Hyperscale Data's competitive position within its industry, examining market share, product or service uniqueness, and competitive advantages. Beyond financials and market position, potential investors should also consider broader economic conditions, industry trends, and any regulatory or geopolitical factors that may impact Hyperscale Data's future performance. For an informed investment choice regarding Hyperscale Stock, refer to the following important reports:
Check out Hyperscale Data Analysis, Hyperscale Data Valuation, Hyperscale Data Correlation, Hyperscale Data Hype Analysis, Hyperscale Data Volatility, Hyperscale Data Price History and analyze Hyperscale Data Performance.
For information on how to trade Hyperscale Stock refer to our How to Trade Hyperscale Stock guide.
You can also try the Price Ceiling Movement module to calculate and plot Price Ceiling Movement for different equity instruments.
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.
A focus of Hyperscale Data technical analysis is to determine if market prices reflect all relevant information impacting that market. A technical analyst looks at the history of Hyperscale Data trading pattern rather than external drivers such as economic, fundamental, or social events. It is believed that price action tends to repeat itself due to investors' collective, patterned behavior. Hence technical analysis focuses on identifiable price trends and conditions. More Info...