GPUS (Hyperscale Data) Volatility: 97.45% (As of Jun. 25, 2026)

Hyperscale Data  (AMEX:GPUS) Volatility Explanation

Volatility is a statistical measure of the dispersion of returns for a given security or market index. It’s often measured as standard deviation or variance of historical returns over a certain period. The volatility here is measured as the annualized standard deviation between monthly returns from the security over the past year.

Volatility reflects the uncertainty or risk of a security’s value. Generally speaking, a higher volatility suggests a higher risk, because it implies a wider fluctuation around average price. This means the price of the security can change dramatically in either direction within a short period. Conversely, a lower volatility means that the security's price is more steady, which suggests a lower risk.

Another measurement of relative volatility is Beta. Beta is a measure of systematic risk of a security or a portfolio in comparison to the market as a whole. Beta is usually compared to 1. A beta of greater than 1 indicates that the security's price will be more volatile than the market.

Hyperscale Data Volatility Related Terms

GPUS vs HLEO, MOB, PEW: Volatility Comparison

For the Aerospace & Defense subindustry, Hyperscale Data's Volatility, along with its competitors' market caps and Volatility data, can be viewed below:

* Competitive companies are chosen from companies within the same industry, with headquarter located in same country, with closest market capitalization; x-axis shows the market cap, and y-axis shows the term value; the bigger the dot, the larger the market cap. Note that "N/A" values will not show up in the chart.

Hyperscale Data Volatility vs Aerospace & Defense Industry

For the Aerospace & Defense industry and Industrials sector, Hyperscale Data's Volatility distribution charts can be found below:

* The bar in red indicates where Hyperscale Data's Volatility falls into.

Hyperscale Data  (AMEX:GPUS) Volatility Calculation

The annualized volatility is calculated as following:

Where: σ_M is the monthly volatility, n is the number of months in the period, R_i is the security's historical monthly returns and R' is the arithmetic mean of monthly returns.

* For Operating Data section: All numbers are indicated by the unit behind each term and all currency related amount are in USD.
* For other sections: All numbers are in millions except for per share data, ratio, and percentage. All currency related amount are indicated in the company's associated stock exchange currency.

Hyperscale Data Business Description