Navitas Semiconductor Bolsa (NASDAQ: NVTS)

Últimas noticias sobre Navitas Semiconductor (NASDAQ:NVTS) Bolsa

Navitas Semiconductor

Navitas Semiconductor Corp develops ultra-efficient gallium nitride (GaN) semiconductors that are revolutionizing power electronics. GaN power ICs integrate GaN power with drive, control, and protection to enable fast charging, high power density, and energy savings for mobile, consumer, enterprise, eMobility, and new energy markets. The company operates as one reportable segment, the design, development, manufacture, and marketing of integrated circuits and related components for use in mobile device and other markets. Geographically, the company operates in China, Europe, United States, Rest of Asia and Others. The majority of revenue is generated from China.

Navitas Semiconductor Corporation - Common Stock

Navitas Semiconductor Corp

WIIM

NVCR

NovoCure shares are trading lower after the company reported a Q4 Gaap EPS miss.

In this article, we delve into the concept of volatility and explore intriguing opportunities to use it to our advantage. Generally, volatility refers to the magnitude of price fluctuations relative to their average value. Several tools can measure volatility, with the most well-known being standard deviation. Other tools, such as the Average True Range (ATR), are frequently employed in trading system development, as well as Bollinger Bands.
Regardless of the unique characteristics of these tools, it is essential to note that they all measure historical volatility, meaning they analyze the volatility exhibited by an asset over a specific time frame.
<h2 class="wp-block-heading">Understanding Implied Volatility</h2>
Here, we introduce a new concept: implied volatility. What does it entail? Unlike historical volatility, which looks backward, implied volatility estimates future price fluctuations of an asset. Essentially, it reflects the market&#8217;s and market makers' expectations of the asset's movements in the near future.
Technically, implied volatility is derived from the prices of complex instruments like options on the S&amp;P 500, one of the world&#8217;s largest and most influential markets. The index that measures this is known as the VIX Index, commonly referred to as the &#8220;Fear Index.&#8221; This nickname stems from the index&#8217;s nature; since it is inversely correlated with the stock market, it tends to rise when increased volatility—and often a market downturn—is anticipated. Conversely, it decreases during periods of market calm.
<figure class="wp-block-image size-full"><img loading="lazy" decoding="async" width="643" height="258" src="https://contributor-assets.benzinga.com/wp-content/uploads/2025/02/27153721/image-2.jpg" alt="" class="wp-image-6797" srcset="https://contributor-assets.benzinga.com/wp-content/uploads/2025/02/27153721/image-2.jpg 643w,https://contributor-assets.benzinga.com/wp-content/uploads/2025/02/27153721/image-2-300x120.jpg 300w" sizes="(max-width: 643px) 100vw, 643px" /></figure>
Figure 1. Historical trends of the VIX Index ($VIX.X) from 2010 to present
As shown in Figure 1, the VIX Index has a unique behavior: it remains stationary most of the time, oscillating around average values, but experiences brief, explosive spikes during market crashes.
Broadly speaking, there are two main approaches to leveraging market volatility. The first involves using implied volatility, such as the VIX Index, as a filter for trading decisions. This is similar to how historical volatility tools—like standard deviation, average true range, and Bollinger Bands—are utilized. This approach aims to limit trading activity, especially in equity futures, to focus on trades with a higher probability of success.
The second approach, which we'll explore in this article, focuses on developing a trading strategy specifically targeting implied volatility. This involves utilizing financial instruments designed to replicate implied volatility.
<h2 class="wp-block-heading">Trading Strategy on VIX Futures (@VX)</h2>
This strategy focuses on the VIX Futures (@VX), traded on the CBOE in Chicago, with the VIX Index as its underlying asset.
As previously mentioned, the VIX Index is characterized by its strong mean-reverting behavior. To test this trait, we designed a straightforward trading system based on Bollinger Bands and applied it to a 30-minute chart. For our analysis, we backtested the strategy from January 2010 to November 2023, using the standard trading session hours (5:00 PM to 4:00 PM).
The trading system follows these rules: a short position is entered when the price breaks below the upper Bollinger Band (&#8220;UpperBand&#8221;), and a long position is entered when the price breaks above the lower Bollinger Band (&#8220;LowerBand&#8221;). An initial stop loss of $2,000 is applied to manage risk effectively.
Here's the EasyLanguage code for the strategy:
<code>inputs: MyStop(2000); inputs: Length( 20 ), NumDevs( 2); variables: UpperBand( 0 ),LowerBand( 0 ); UpperBand = BollingerBand( c, Length, +NumDevs ) ; LowerBand = BollingerBand( c, Length, –NumDevs ) ; if C crosses under UpperBand then Sellshort next bar at market ; if C crosses over LowerBand then Buy next bar at market ; if MyStop &gt; 0 then setstoploss(MyStop); setstopcontract;</code>
Figures 2 and 3 provide examples of trades and the backtest results.
<figure class="wp-block-image size-full"><img loading="lazy" decoding="async" width="676" height="400" src="https://contributor-assets.benzinga.com/wp-content/uploads/2025/02/27153721/image-3-13.png" alt="" class="wp-image-6803" srcset="https://contributor-assets.benzinga.com/wp-content/uploads/2025/02/27153721/image-3-13.png 676w,https://contributor-assets.benzinga.com/wp-content/uploads/2025/02/27153721/image-3-13-300x178.png 300w" sizes="(max-width: 676px) 100vw, 676px" /></figure>
Figure 2. Example of a short trade executed using the &#8220;Bollinger Bands&#8221; trading system on VIX Futures.
<figure class="wp-block-image size-full"><img loading="lazy" decoding="async" width="643" height="380" src="https://contributor-assets.benzinga.com/wp-content/uploads/2025/02/27153721/image-1-2.jpg" alt="" class="wp-image-6801" srcset="https://contributor-assets.benzinga.com/wp-content/uploads/2025/02/27153721/image-1-2.jpg 643w,https://contributor-assets.benzinga.com/wp-content/uploads/2025/02/27153721/image-1-2-300x177.jpg 300w" sizes="(max-width: 643px) 100vw, 643px" /></figure>
Figure 3. Strategy Performance Summary for the &#8220;Bollinger Bands&#8221; trading system on VIX Futures.
Upon analyzing the results, it's evident that the strategy seems to work effectively only on the short side. But why does this significant difference in behavior occur? To understand this better, take a look at Figure 4, which shows the long-term charts of the VIX Index and the VIX Futures.
<figure class="wp-block-image size-full"><img loading="lazy" decoding="async" width="643" height="380" src="https://contributor-assets.benzinga.com/wp-content/uploads/2025/02/27153721/image-1-2.jpg" alt="" class="wp-image-6805" srcset="https://contributor-assets.benzinga.com/wp-content/uploads/2025/02/27153721/image-1-2.jpg 643w,https://contributor-assets.benzinga.com/wp-content/uploads/2025/02/27153721/image-1-2-300x177.jpg 300w" sizes="(max-width: 643px) 100vw, 643px" /></figure>
Figure 4. Comparing VIX Index (@VIX.X) and VIX Futures (@VX).
The correlation between the two charts is apparent. For instance, every spike in the VIX Index corresponds to a spike in the VIX Futures, albeit of varying magnitudes. However, one detail immediately stands out: the continuous loss of value in the VIX Futures over time. Why does this happen?
The answer lies in how futures are priced. Since the futures trade at a higher price than the index, in the absence of market anomalies or crashes, they gradually depreciate each day until they converge with the index's value at expiration.
This creates a strong long-term bias, making the strategy ineffective on the long side when employing a mean-reverting approach.
Given this, our next step is clear: we will refine the development of this strategy by focusing exclusively on the short side.
<h2 class="wp-block-heading">Optimization of a Mean-Reverting Strategy for the Volatility Futures Market (@VX)</h2>
First, we assessed whether the default Bollinger Bands settings—20-bar length and 2-period standard deviation—are optimal for the chosen instrument. To identify better settings, we optimized the inputs, varying the &#8220;Length&#8221; from 10 to 30 bars in steps of 5 and &#8220;NumDevs&#8221; (number of standard deviations) from 1 to 3 periods in steps of 0.5. Additionally, as a precaution against weekend overnight risks, we implemented a condition to close all positions by Friday evening.
<figure class="wp-block-image size-full"><img loading="lazy" decoding="async" width="642" height="117" src="https://contributor-assets.benzinga.com/wp-content/uploads/2025/02/27153721/image-3.jpg" alt="" class="wp-image-6799" srcset="https://contributor-assets.benzinga.com/wp-content/uploads/2025/02/27153721/image-3.jpg 642w,https://contributor-assets.benzinga.com/wp-content/uploads/2025/02/27153721/image-3-300x55.jpg 300w" sizes="(max-width: 642px) 100vw, 642px" /></figure>
Figure 5. Optimization results for the &#8220;Bollinger Bands short only&#8221; trading system on VIX Futures.
The results revealed that reducing the length of Bollinger Bands from 20 bars to 15, while keeping the standard deviation at 2, improved performance. Net profit increased from $145,220 to $158,350, and average trade value rose from $160.82 to $172.60. Based on these metrics, we selected these parameters.
<figure class="wp-block-image size-full"><img loading="lazy" decoding="async" width="642" height="117" src="https://contributor-assets.benzinga.com/wp-content/uploads/2025/02/27153721/image-3.jpg" alt="" class="wp-image-6798" srcset="https://contributor-assets.benzinga.com/wp-content/uploads/2025/02/27153721/image-3.jpg 642w,https://contributor-assets.benzinga.com/wp-content/uploads/2025/02/27153721/image-3-300x55.jpg 300w" sizes="(max-width: 642px) 100vw, 642px" /></figure>
Figure 6. Detailed Equity Curve of the &#8220;Bollinger Bands short only&#8221; trading system on VIX Futures.
Until now, we've operated under the assumption of leveraging the full trading session from 5:00 PM to 4:00 PM. However, let's explore whether a more restricted time window could yield better results. Additionally, we'll examine the maximum number of days a position should remain open for optimal performance, keeping in mind our initial rule to close all trades by Friday afternoon.
Using a proprietary function, we incorporated these time constraints into the system's code and ran a parameter optimization.
<figure class="wp-block-image size-full"><img loading="lazy" decoding="async" width="643" height="380" src="https://contributor-assets.benzinga.com/wp-content/uploads/2025/02/27153721/image-1-2.jpg" alt="" class="wp-image-6806" srcset="https://contributor-assets.benzinga.com/wp-content/uploads/2025/02/27153721/image-1-2.jpg 643w,https://contributor-assets.benzinga.com/wp-content/uploads/2025/02/27153721/image-1-2-300x177.jpg 300w" sizes="(max-width: 643px) 100vw, 643px" /></figure>
Figure 7. Time window optimization for the "Bollinger Bands short only" trading system on VIX Futures.
<figure class="wp-block-image size-full"><img loading="lazy" decoding="async" width="642" height="117" src="https://contributor-assets.benzinga.com/wp-content/uploads/2025/02/27153721/image-3.jpg" alt="" class="wp-image-6802" srcset="https://contributor-assets.benzinga.com/wp-content/uploads/2025/02/27153721/image-3.jpg 642w,https://contributor-assets.benzinga.com/wp-content/uploads/2025/02/27153721/image-3-300x55.jpg 300w" sizes="(max-width: 642px) 100vw, 642px" /></figure>
Figure 8. MaxDaysInTrade optimization for the "Bollinger Bands short only" trading system on VIX Futures.
The optimization of the time window revealed that the most profitable operating hours aren't the standard 23-hour period (5:00 PM–4:00 PM), but a shorter window between 6:00 PM and 2:00 PM. Furthermore, the analysis showed that the ideal maximum duration for holding a trade is five days. Extending beyond this limit provides no significant benefit and, in fact, increases exposure to market risk.
<figure class="wp-block-image size-full"><img loading="lazy" decoding="async" width="642" height="150" src="https://contributor-assets.benzinga.com/wp-content/uploads/2025/02/27153721/image-4.jpg" alt="" class="wp-image-6800" srcset="https://contributor-assets.benzinga.com/wp-content/uploads/2025/02/27153721/image-4.jpg 642w,https://contributor-assets.benzinga.com/wp-content/uploads/2025/02/27153721/image-4-300x70.jpg 300w" sizes="(max-width: 642px) 100vw, 642px" /></figure>
Figure 9. Strategy Performance Summary and Total Trade Analysis after optimizing the time window and MaxDaysInTrade.
At this stage of development, we've started drawing some initial conclusions about the system. We've seen clear improvements in metrics, both in terms of net profit and average trade. However, when focusing on average trade, it's important to note that the current value remains insufficient for the type of instrument under analysis. The @VX Future has a tick value of $50, so for live trading, an average trade of at least $250-$300 is required. Moreover, the maximum drawdown is still too high (over $40,000). Although this figure largely reflects the market shock caused by the COVID-19 crisis in 2020, it's crucial to improve it in anticipation of future market corrections, which are cyclical.
What steps can we take to enhance the performance of our trading system?
One possible approach is to test for specific price patterns. We'll use a proprietary list of scenarios and optimize the system to identify the best-performing pattern. Adding this filter, the optimization process highlighted some interesting possibilities, and we selected Pattern 39 due to its significant impact on reducing drawdown (from $44,160 to $23,970). This choice did involve sacrificing some net profit compared to the top options on the list. Here's the rule for Pattern 39: the difference between today's high and open must be smaller than the difference between yesterday's high and open. Essentially, this pattern indicates uncertainty and compression, suggesting that the market is likely to soon take a more defined direction—in this case, a downward one.
<figure class="wp-block-image size-full"><img loading="lazy" decoding="async" width="643" height="431" src="https://contributor-assets.benzinga.com/wp-content/uploads/2025/02/27153721/image-1-3.jpg" alt="" class="wp-image-6808" srcset="https://contributor-assets.benzinga.com/wp-content/uploads/2025/02/27153721/image-1-3.jpg 643w,https://contributor-assets.benzinga.com/wp-content/uploads/2025/02/27153721/image-1-3-300x201.jpg 300w" sizes="(max-width: 643px) 100vw, 643px" /></figure>
Figure 10. Optimization of the price patterns in the &#8220;Bollinger Bands short-only&#8221; trading system on VIX Futures.
As a final step, we could implement a Breakeven Stop. This stop triggers when an open position reaches a certain profit level, preventing a winning trade from turning into a loss. While this type of stop doesn't always enhance the overall performance of a strategy, it provides peace of mind for traders, especially in a market like this one. We'll experiment with this alongside optimizing the initial stop loss, which was initially set at $2,000.
<figure class="wp-block-image size-full"><img loading="lazy" decoding="async" width="642" height="150" src="https://contributor-assets.benzinga.com/wp-content/uploads/2025/02/27153721/image-4.jpg" alt="" class="wp-image-6804" srcset="https://contributor-assets.benzinga.com/wp-content/uploads/2025/02/27153721/image-4.jpg 642w,https://contributor-assets.benzinga.com/wp-content/uploads/2025/02/27153721/image-4-300x70.jpg 300w" sizes="(max-width: 642px) 100vw, 642px" /></figure>
Figure 11. Optimization of stop loss and breakeven stop in the &#8220;Bollinger Bands short-only&#8221; trading system on VIX Futures.
<figure class="wp-block-image size-full"><img loading="lazy" decoding="async" width="643" height="431" src="https://contributor-assets.benzinga.com/wp-content/uploads/2025/02/27153721/image-1-3.jpg" alt="" class="wp-image-6809" srcset="https://contributor-assets.benzinga.com/wp-content/uploads/2025/02/27153721/image-1-3.jpg 643w,https://contributor-assets.benzinga.com/wp-content/uploads/2025/02/27153721/image-1-3-300x201.jpg 300w" sizes="(max-width: 643px) 100vw, 643px" /></figure>
Figure 12. Detailed Equity Curve after optimizing patterns, stop loss, and breakeven stop in the &#8220;Bollinger Bands short-only&#8221; trading system on VIX Futures.
<figure class="wp-block-image size-full"><img loading="lazy" decoding="async" width="642" height="406" src="https://contributor-assets.benzinga.com/wp-content/uploads/2025/02/27153721/image-5.jpg" alt="" class="wp-image-6807" srcset="https://contributor-assets.benzinga.com/wp-content/uploads/2025/02/27153721/image-5.jpg 642w,https://contributor-assets.benzinga.com/wp-content/uploads/2025/02/27153721/image-5-300x190.jpg 300w" sizes="(max-width: 642px) 100vw, 642px" /></figure>
Figure 13. Strategy Performance Summary and Total Trade Analysis after optimizing patterns, stop loss, and breakeven stop in the &#8220;Bollinger Bands short-only&#8221; trading system on VIX Futures.
<h2 class="wp-block-heading">Conclusions: Mean-Reverting Trading System on VIX Futures (@VX)</h2>
As we wrap up this article, we can draw some key insights. The latest version of the strategy, which achieved a net profit of $173,300 and an average trade exceeding $240, appears to be a solid foundation for developing a live trading system for VIX Futures (@VX). The mean-reverting logic has proven to be an effective approach for navigating volatility futures trading. Moreover, this strategy has the potential to be adapted for similar instruments, such as ETFs or CFDs that track VIX performance, with the necessary adjustments.
I encourage readers to explore this approach further, test its application, and perhaps refine it to improve results even more. The realm of trading is one of constant experimentation and learning, and this strategy offers an excellent starting point.
Until next time, happy trading! 
Andrea Unger

Technicals

Exclusives

Markets

Trading the VIX, the Fear Index: Development and Optimization of a Trading System

Macro Economic Events

News

Econ #s

Economics

KC Fed Composite Index For February -5 Vs -5 Prior

Guggenheim analyst Gregory Francfort reiterates Jack In The Box (NASDAQ:<a class="ticker" href="https://www.benzinga.com/stock/JACK#NASDAQ">JACK</a>) with a Buy and maintains $55 price target.

Price Target

Reiteration

Analyst Ratings

JACK

Guggenheim Reiterates Buy on Jack In The Box, Maintains $55 Price Target

HII (NYSE:<a class="ticker" href="https://www.benzinga.com/stock/HII#NYSE">HII</a>) announced today that its Mission Technologies division was awarded a task order valued at approximately $70 million to support the safe use of U.S. Air Force systems and software and the implementation of government-mandated information security requirements.
Under the five-year task order, awarded by the U.S. Air Force Life Cycle Management Center's Engineering Directorate, HII will identify and mitigate vulnerabilities through research and analysis to protect U.S. Air Force systems and software from unauthorized access, use or destruction by adversaries.

Contracts

HII Awarded $70M 5-Year Task Order To Protect U.S. Air Force Systems And Software

BMO Capital analyst Simeon Siegel maintains TJX Companies (NYSE:<a class="ticker" href="https://www.benzinga.com/stock/TJX#NYSE">TJX</a>) with a Outperform and raises the price target from $133 to $145.

BMO Capital Maintains Outperform on TJX Companies, Raises Price Target to $145

Greif shares are trading lower after the company reported a Q1 Adj EPS miss.

Snap Inc. (NYSE:<a class="ticker" href="https://www.benzinga.com/stock/SNAP#NYSE">SNAP</a>) has partnered with Later, a leading influencer marketing and social media management platform, to enhance creator <a href="https://www.benzinga.com/pressreleases/25/02/n44006272/later-announces-partnership-with-snap-inc-delivering-the-industrys-most-comprehensive-integration-" target="_blank" rel="noreferrer noopener">collaborations and streamline content publishing on Snapchat</a>.
This integration introduces automated content scheduling and creator profile discovery within Later&#8217;s platform, making it the first to incorporate both Snapchat&#8217;s Public Profile API and Creator Discovery API in a single solution. Marketers can now search for Snapchat creators by keyword, topic, and audience size, manage campaign collaborations more efficiently, and schedule content alongside other social platforms.
Snapchat creators, in turn, gain access to Later&#8217;s network, allowing them to connect with brands, utilize analytics, and leverage planning tools to optimize engagement and revenue.
Also Read: <a target="_blank" href="https://www.benzinga.com/trading-ideas/movers/25/02/43504666/snap-stock-drops-following-q4-results-and-analyst-downgrade-whats-going-on" rel="noreferrer noopener">Snap Stock Drops Following Q4 Results And Analyst Downgrade: What&#8217;s Going On?</a>
Fintan Gillespie, Director of U.S. Revenue Partnerships at Snap Inc., emphasized the significance of this collaboration, stating, &#8220;Later&#8217;s dedication to innovation and data-driven influencer marketing aligns perfectly with our mission to help creators grow their businesses while enabling brands to achieve real results. We&#8217;re excited to introduce these integrations, which will create new opportunities for seamless collaboration between creators and brands within Later Influence and facilitate content publishing to Snapchat via Later Social.&#8221;
Price Action: SNAP shares are trading lower by 0.25% at $10.13 on the last check Thursday.
Now Read:
<ul>
<li><a href="https://www.benzinga.com/25/02/44007299/warner-bros-q4-earnings">Warner Bros Q4 Earnings: Studios Revenues Grow 16%, Max Subscribers Surge, Eyes 150 Million Subscribers By 2026</a></li>
</ul>
Image: Shutterstock

SNAP

Snap Expands Creator Tools With Later Partnership

BMO Capital analyst Joel Jackson maintains ICL Group (NYSE:<a class="ticker" href="https://www.benzinga.com/stock/ICL#NYSE">ICL</a>) with a Market Perform and raises the price target from $6 to $6.5.

BMO Capital Maintains Market Perform on ICL Group, Raises Price Target to $6.5

Guggenheim analyst John Difucci reiterates Snowflake (NYSE:<a class="ticker" href="https://www.benzinga.com/stock/SNOW#NYSE">SNOW</a>) from Neutral to Neutral.

SNOW

Guggenheim Reiterates Neutral on Snowflaketo Neutral

Workday (NASDAQ:<a class="ticker" href="https://www.benzinga.com/stock/WDAY#NASDAQ">WDAY</a>) has outperformed the market over the past 10 years by 1.47% on an annualized basis producing an average annual return of 12.43%. Currently, Workday has a market capitalization of $70.95 billion. 
Buying $100 In WDAY: If an investor had bought $100 of WDAY stock 10 years ago, it would be worth $302.70 today based on a price of $266.74 for WDAY at the time of writing.
<h3>Workday's Performance Over Last 10 Years</h3>
<img src="https://www.benzinga.com/files/images/story/2025/1740672013_0.png" alt="comp_fig" />
Finally -- what's the point of all this? The key insight to take from this article is to note how much of a difference compounded returns can make in your cash growth over a period of time.
This article was generated by Benzinga's automated content engine and reviewed by an editor.

Trading Ideas

WDAY

Here's How Much $100 Invested In Workday 10 Years Ago Would Be Worth Today

WETO

Trading Halt: Halt status updated at 11:00:00 AM ET: Quotation Resumption: IPO Security - Released for Quotation

BMO Capital analyst Brian Pitz maintains eBay (NASDAQ:<a class="ticker" href="https://www.benzinga.com/stock/EBAY#NASDAQ">EBAY</a>) with a Market Perform and raises the price target from $59 to $63.

EBAY

BMO Capital Maintains Market Perform on eBay, Raises Price Target to $63

CCOI

Cogent Communications shares are trading lower after the company reported Q4 revenue miss.

Earnings

Turkcell FY Net Profit Of 23.52 Billion Lira Vs Profit Of 18.13 Billion Lira YoY; FY Revenue Of 158.85 Billion Lira Vs 148.66 Billion Lira YoY

Shares of MARA Holdings Inc (NASDAQ:<a class="ticker" href="https://www.benzinga.com/stock/MARA#NASDAQ">MARA</a>) were climbing in early trading on Thursday, after the company reported <a href="https://www.benzinga.com/news/earnings/25/02/43993028/mara-holdings-q4-earnings-highlights-record-revenue-net-income-bitcoin-holdings-hit-44893-btc">record fourth-quarter revenues</a>.
The results came in amid an <a href="https://www.benzinga.com/earnings">exciting earnings season</a>. Here are some key analyst takeaways.
HC Wainwright On MARA Holdings
<a href="https://www.benzinga.com/analyst-stock-ratings/analyst/58d94a96b85e930001fd9dd4/kevin-dede">Analyst Kevin Dede</a> reiterated a Buy rating and price target of $28.
MARA Holdings reported a record quarter, with revenues climbing to $214.4 million, from $131.6 million in the third quarter, Dede said in a note. Energized hashrate surged 115% year-over-year to 53.2Eh/s in the fourth quarter, he added.
"It expanded its capacity by growing its owned and operated data center footprint to roughly 70% from 0% over 2024 and boosted its secured energy capacity to approximately 1.7GW from roughly 0.5GW," the analyst wrote. A combination of self-mining and acquisition strategy drove the company's bitcoin holdings to 44,893 coins, worth around $3.8 billion, from 26,747 coins in the previous quarter, he further stated.
Check out <a href="https://www.benzinga.com/analyst-stock-ratings">other analyst stock ratings</a>.
JPMorgan On MARA Holdings
<a href="https://www.benzinga.com/analyst-stock-ratings/analyst/611bba00b4035700018b67b6/reginald-smith">Analyst Reginald Smith</a> maintained a Neutral rating on the stock.
MARA Holdings generated record revenues and a meaningful sequential decline in operating expenses, which drove cash earnings to an all-time high, Smith said. Total revenues surged 63% sequentially, backed by a 37% increase in average bitcoin price, he added.
"Mgmt is prioritizing responsible capital deployment in 2025, and does not have a year-end hashrate target, but plans on taking advantage of opportunistic M&amp;A at sites with low power costs and/or on-site generation," the analyst wrote. Although the company does not wish to expand into datacenter hosting, it sees "an opportunity to serve as a hardware, software and service provider for hyperscalers and AI companies," he further stated.
Needham On MARA Holdings
<a href="https://www.benzinga.com/analyst-stock-ratings/analyst/61f3ddfca8bef8000120d89f/john-todaro">Analyst John Todaro</a> reaffirmed a Hold rating.
The company reported revenues of $214 million, beating consensus of $196 million, Todaro said. He added, however, that adjusted EBITDA missed expectations due to higher SG&amp;A (selling, general, and administrative expenses).
"During the call mgmt. outlined 2025 plans to pilot 30 MW of inference AI compute using the company&#8217;s 2PIC liquid cooling at owned sites, as well as a partner and a customer&#8217;s site," the analyst wrote. The company is open to selling the 2PIC technology to other operators, he further wrote.
MARA Price Action: Shares of MARA Holdings had risen by 8.11% to $13.46 at the time of publication on Thursday.
Read More: <a href="https://www.benzinga.com/general/market-summary/25/02/43875446/walmarts-ai-use-cases-surge-amid-strong-q4-even-as-company-forecasts-weaker-2026">&nbsp;With Policy Shifts in Play, Are Crypto Stocks Worth Another Look?</a>
Image via Shutterstock

Analyst Color

Movers

MARA

MARA Holdings Surges On Record Q4 Revenues, Analysts Weigh In

Guggenheim analyst Michael Morris reiterates Paramount Glb (NASDAQ:<a class="ticker" href="https://www.benzinga.com/stock/PARA#NASDAQ">PARA</a>) with a Buy and maintains $14 price target.

PARA

Guggenheim Reiterates Buy on Paramount Glb, Maintains $14 Price Target

NXST

Nexstar Media shares are trading higher. The company reported Q4 financial results.

NVIDIA Corporation (NASDAQ:<a class="ticker" href="https://www.benzinga.com/stock/NVDA#NASDAQ">NVDA</a>) shares are moving lower Thursday. The stock is reversing amid a possible trader selloff after<a href="https://www.benzinga.com/markets/equities/25/02/43999126/nvidias-q4-revenue-surges-to-393b-nearly-8x-higher-than-five-years-ago-analysts-debate-stocks-next-move"> reporting fourth-quarter financial results</a>.
What To Know: Nvidia posted record revenue of $39.3 billion for the fourth quarter, surpassing the consensus estimate of $38.05 billion, according to <a href="http://pro.benzinga.com">Benzinga Pro</a>. The company&#8217;s top-line results were up 78% year-over-year and 12% sequentially.
Earnings per share came in at 89 cents, versus analyst estimates of 84 cents per share. Nvidia reported 82% earnings growth on a year-over-year basis.
Nvidia's data center segment led the strong growth, generating $35.6 billion in revenue, up 93% year-over-year. Automotive revenue more than doubled to $570 million, while the gaming and AI PC segment saw a decline, reporting $2.5 billion in revenue, down 11% from the prior year.
The company's full fiscal-year revenue reached $130.5 billion, marking a 114% increase year-over-year and setting a new company record.
&#8220;We&#8217;ve successfully ramped up the massive-scale production of Blackwell AI supercomputers, achieving billions of dollars in sales in its first quarter. AI is advancing at light speed as agentic AI and physical AI set the stage for the next wave of AI to revolutionize the largest industries,&#8221; said Jensen Huang, founder and CEO of Nvidia.
See Also: <a href="https://www.benzinga.com/news/global/25/02/44010093/trumps-plan-for-canada-mexico-china-tariffs-to-start-march-4-could-shake-stock-market">Trump&#8217;s Plan For Canada, Mexico, China Tariffs To Start March 4 Could Shake Stock Market</a>
Looking ahead, Nvidia provided first-quarter revenue guidance of $43 billion, plus or minus 2%, versus estimates of $41.75 billion. The company also expects non-GAAP gross margins to reach 71%.
Following Nvidia's quarterly results, several analysts raised price targets. 
Truist Securities increased its target from $204 to $205 while maintaining a <a href="https://www.benzinga.com/analyst-stock-ratings">Buy rating</a>. Morgan Stanley raised its target from $152 to $162 with an Overweight rating. BofA Securities lifted its target from $190 to $200 while maintaining a Buy stance. Needham reiterated its Buy rating with a $160 price target and Rosenblatt maintained a Buy and price target of $220.
NVDA Price Action: Despite the positive financial performance and upward price target revisions, Nvidia shares are under pressure on Thursday. Although the stock traded above $135 in early trading, it was down 3.18% at $127.09 at the time of publication, according to <a href="https://pro.benzinga.com/dashboard?new_user=False&amp;backend=google-oauth2">Benzinga Pro.</a>
<figure class="wp-block-image size-large is-resized"><a href="https://bzresearch.myclickfunnels.com/benzinga-pro-content-webinar-registration/?utm_source=BZprocontent022725&amp;t=be2bearmibe3na1"><img loading="lazy" decoding="async" width="1024" height="521" src="https://editorial-assets.benzinga.com/wp-content/uploads/2025/02/27100656/Screenshot-2025-02-27-at-10.06.27-1024x521.png" alt="" class="wp-image-801775" style="width:535px;height:auto" srcset="https://editorial-assets.benzinga.com/wp-content/uploads/2025/02/27100656/Screenshot-2025-02-27-at-10.06.27-1024x521.png 1024w,https://editorial-assets.benzinga.com/wp-content/uploads/2025/02/27100656/Screenshot-2025-02-27-at-10.06.27-300x153.png 300w,https://editorial-assets.benzinga.com/wp-content/uploads/2025/02/27100656/Screenshot-2025-02-27-at-10.06.27-768x391.png 768w,https://editorial-assets.benzinga.com/wp-content/uploads/2025/02/27100656/Screenshot-2025-02-27-at-10.06.27-1536x782.png 1536w,https://editorial-assets.benzinga.com/wp-content/uploads/2025/02/27100656/Screenshot-2025-02-27-at-10.06.27.png 1550w" sizes="(max-width: 1024px) 100vw, 1024px" /></a></figure>
Read Next:
<ul>
<li><a href="https://www.benzinga.com/news/econ-s/25/02/44007082/q4-gdp-holds-at-2-3-after-minor-revision-in-second-estimate">Q4 GDP Holds At 2.3% After Minor Revision In Second Estimate</a></li>
</ul>
Image via Shutterstock.

NVDA

Nvidia Shares Dip Despite Strong Q4 Earnings Beat, Record Revenue: What's Going On?

<a href="https://www.aboutamazon.com/news/aws/quantum-computing-aws-ocelot-chip" title="https://www.aboutamazon.com/news/aws/quantum-computing-aws-ocelot-chip">https://www.aboutamazon.com/news/aws/quantum-computing-aws-ocelot-chip</a>

AMZN

Reported Earlier, "Amazon Web Services Announces New Quantum Computing Chip; New 'Ocelot' Chip Uses Scalable Architecture For Reducing Error Correction By Up To 90% And Accelerating The Development Of Real-World Quantum Computing Applications"

Press Releases

General

Navitas' 571% Increase in 3-Year Revenue Attains Deloitte Technology Fast 500™ Ranking for Third Consecutive Year

Navitas Semiconductor to Participate in Upcoming Investor Conferences

Management

Navitas Semiconductor Appoints Dr. Ranbir Singh to Board of Directors

Navitas Showcases Breakthroughs in GaN and SiC Technologies for AI Data Centers, EVs, and Mobile Applications at CES 2025

Navitas Semiconductor to Participate in Upcoming CICC Investor Call

Navitas' GaN & SiC Devices Power Dell's™ Family of AI Notebooks

Navitas Semiconductor to Report Q4 and Full Year 2024 Financial Results on Monday, February 24th, 2025 and Participate in Upcoming Investor Events

Navitas to Unveil a New Paradigm in Power

Navitas to Unveil Breakthrough Advances in GaN and SiC for AI Data Center, EV, and Mobile Applications at APEC 2025

Navitas Semiconductor Announces Fourth Quarter and Full Year 2024 Financial Results

NVTS

Alpha and Omega Semiconductor Limited - Common Shares

Alpha & Omega

Blaize Holdings

CEVA

Canadian Solar

Diodes

Himax Technologies, Inc. - American depositary shares, each of which represents two ordinary shares.

Himax Techs

Intchains Group Limited - American Depositary Shares

Intchains Gr

ChipMOS TECHNOLOGIES INC. - American Depositary Shares

ChipMOS TECHNOLOGIES

indie Semiconductor, Inc. - Class A Common Stock

Indie Semiconductor

JinkoSolar Holding Company Limited American Depositary Shares (each representing 4 Common Shares)

JinkoSolar Holding Co

Kopin

SEALSQ

Everspin Technologies, Inc. - Common Stock

Everspin Technologies

Magnachip Semiconductor Corporation Common Stock

MagnaChip Semiconductor

MaxLinear

Nano Labs

Penguin Solutions, Inc. - Ordinary Shares

Penguin Solutions

QuickLogic

Silicon Motion Technology Corporation - American Depositary Shares, each representing four ordinary shares

Silicon Motion Technology

SkyWater Technology

Sequans Communications S.A. American Depositary Shares (each representing ten (10) Ordinary Shares)

Comments

Navitas Semiconductor

Noticias

Últimas noticias sobre Navitas Semiconductor (NASDAQ:NVTS) Bolsa

La gente también mira

Noticias

SOCIO/CONTRIBUIDOR

BENZINGA GLOBAL