GPUS has 36-month beta value of 3.53. Analysts have mixed views on the stock, with 1 analysts rating it as a “buy,” 0 as “overweight,” 0 as “hold,” and 0 as “sell.”
The public float for GPUS is 38.63M, and currently, short sellers hold a 1.97% ratio of that float. The average trading volume of GPUS on November 12, 2024 was 946.58K shares.
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GPUS) stock’s latest price update
Hyperscale Data Inc (AMEX: GPUS)’s stock price has plunge by -8.02relation to previous closing price of 0.22. Nevertheless, the company has seen a -1.56% plunge in its stock price over the last five trading sessions. globenewswire.com reported 2024-11-11 that Dublin, Nov. 11, 2024 (GLOBE NEWSWIRE) — The “Hyperscale Data Centers – Global Strategic Business Report” report has been added to ResearchAndMarkets.com’s offering. The global market for Hyperscale Data Centers was estimated at US$170.0 Billion in 2023 and is projected to reach US$730.2 Billion by 2030, growing at a CAGR of 23.1% from 2023 to 2030. This comprehensive report provides an in-depth analysis of market trends, drivers, and forecasts, helping you make informed business decisions. Several factors are driving the rapid growth of the hyperscale data center market, including the increasing adoption of cloud services, the rise of big data and artificial intelligence, and the demand for scalable, energy-efficient infrastructure. One of the primary drivers is the growing adoption of cloud computing by businesses of all sizes. As more companies migrate their workloads to the cloud to reduce costs, improve scalability, and enhance flexibility, the demand for hyperscale data centers has surged. Cloud providers such as AWS, Microsoft Azure, and Google Cloud are expanding their global data center footprints to meet the growing demand for cloud services, driving the need for more hyperscale facilities. The rise of big data analytics is another significant factor contributing to the growth of the hyperscale data center market. Organizations across industries are collecting and analyzing massive amounts of data to gain insights and make data-driven decisions. Processing these large datasets requires substantial computing power and storage capacity, which hyperscale data centers provide. As the amount of data generated by IoT devices, social media, and digital transactions continues to grow, the demand for hyperscale data centers capable of handling big data workloads will only increase. The increasing use of artificial intelligence and machine learning is also fueling the growth of the hyperscale data center market. AI and ML applications require powerful hardware, such as GPUs and specialized processors, to train complex models and process large datasets. Hyperscale data centers are equipped with the necessary infrastructure to support AI workloads, making them essential for companies developing AI-driven applications in fields such as healthcare, finance, and autonomous systems. As AI adoption grows, hyperscale data centers will play a critical role in providing the computational power needed for these advanced technologies. Energy efficiency and sustainability are becoming more important factors in the growth of hyperscale data centers. With data centers consuming vast amounts of electricity, there is increasing pressure on operators to reduce their environmental impact. Hyperscale data centers are designed with energy efficiency in mind, incorporating advanced cooling technologies, renewable energy sources, and power management systems to reduce energy consumption. Major cloud providers are committing to sustainability goals, such as powering their data centers with 100% renewable energy and achieving carbon neutrality. The focus on sustainability is driving investments in hyperscale data centers that are designed to operate efficiently while minimizing their environmental footprint. The rise of 5G and the Internet of Things (IoT) is also contributing to the expansion of the hyperscale data center market. 5G networks enable faster data transmission and support a growing number of connected devices, generating vast amounts of data that need to be processed in real-time. Hyperscale data centers, with their ability to scale quickly and handle large data volumes, are essential for supporting the growth of 5G and IoT applications. As industries such as automotive, manufacturing, and healthcare adopt IoT solutions, the demand for hyperscale infrastructure to process and store data will continue to grow. Another factor driving the growth of hyperscale data centers is the increasing need for edge computing. As businesses deploy edge computing nodes to process data closer to the source, hyperscale data centers serve as the central hubs for storing, analyzing, and managing the data generated at the edge. The integration of hyperscale and edge computing infrastructures allows organizations to achieve a balance between real-time data processing and long-term data storage, supporting applications that require both low latency and high computational power. Investments by major cloud providers and tech companies are also accelerating the growth of the hyperscale data center market. Companies like Amazon, Microsoft, Google, and Facebook continue to invest heavily in building new hyperscale data centers around the world to meet the growing demand for cloud services and digital applications. These investments are driving the construction of state-of-the-art data centers that are designed to handle massive workloads efficiently, scale seamlessly, and operate sustainably. With the increasing demand for cloud services, big data analytics, AI, and edge computing, the hyperscale data center market is poised for continued growth. As businesses rely more on digital platforms and scalable infrastructure, hyperscale data centers will remain at the core of the global IT landscape, powering the future of cloud computing, AI, and the digital economy. Key Insights:
GPUS’s Market Performance
Hyperscale Data Inc (GPUS) has experienced a -1.56% fall in stock performance for the past week, with a -5.79% drop in the past month, and a 1.97% rise in the past quarter. The volatility ratio for the week is 9.93%, and the volatility levels for the past 30 days are at 6.90% for GPUS. The simple moving average for the last 20 days is -7.69% for GPUS stock, with a simple moving average of -32.98% for the last 200 days.
GPUS Trading at -6.81% from the 50-Day Moving Average
After a stumble in the market that brought GPUS to its low price for the period of the last 52 weeks, the company was unable to rebound, for now settling with -93.54% of loss for the given period.
Volatility was left at 6.90%, however, over the last 30 days, the volatility rate increased by 9.93%, as shares sank -7.02% for the moving average over the last 20 days. Over the last 50 days, in opposition, the stock is trading -3.38% lower at present.
During the last 5 trading sessions, GPUS fell by -2.54%, which changed the moving average for the period of 200-days by -69.05% in comparison to the 20-day moving average, which settled at $0.2186. In addition, Hyperscale Data Inc saw -91.11% in overturn over a single year, with a tendency to cut further losses.
Insider Trading
Reports are indicating that there were more than several insider trading activities at GPUS starting from AULT MILTON C III, who purchase 50,000 shares at the price of $0.23 back on Sep 30 ’24. After this action, AULT MILTON C III now owns 204,729 shares of Hyperscale Data Inc, valued at $11,320 using the latest closing price.
AULT MILTON C III, the Executive Chairman of Hyperscale Data Inc, purchase 22,000 shares at $0.22 during a trade that took place back on Sep 24 ’24, which means that AULT MILTON C III is holding 154,729 shares at $4,915 based on the most recent closing price.
Stock Fundamentals for GPUS
Equity return is now at value -224.07, with -42.93 for asset returns.
The liquidity ratio also appears to be rather interesting for investors as it stands at 0.23.
Conclusion
To put it simply, Hyperscale Data Inc (GPUS) has had a bad performance in recent times. Analysts have a bullish opinion on the stock, with some rating it as a “buy” and others as a “hold”. It’s important to note that the stock is currently trading at a significant distance from its 50-day moving average and its 52-week high.
