La catena delle opzioni mostra i dati chiave delle opzioni azionarie di Mapath Capital a vari prezzi di esercizio e date di scadenza. I trader utilizzano queste informazioni per analizzare potenziali operazioni e valutare il sentiment del mercato per Mapath Capital..

Mapath Capital (OTC:IVFZF) Azioni, Catena delle Opzioni

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Piper Sandler analyst Nathan Race reiterates UMB Financial (NASDAQ:<a class="ticker" href="https://www.benzinga.com/stock/UMBF#NASDAQ">UMBF</a>) with a Overweight and raises the price target from $132 to $137.

News

Price Target

Reiteration

Analyst Ratings

UMBF

Piper Sandler Reiterates Overweight on UMB Financial, Raises Price Target to $137

Macquarie analyst Chad Beynon maintains Red Rock Resorts (NASDAQ:<a class="ticker" href="https://www.benzinga.com/stock/RRR#NASDAQ">RRR</a>) with a Outperform and maintains $58 price target.

Macquarie Maintains Outperform on Red Rock Resorts, Maintains $58 Price Target

Piper Sandler analyst John Barnidge maintains Prudential Financial (NYSE:<a class="ticker" href="https://www.benzinga.com/stock/PRU#NYSE">PRU</a>) with a Neutral and lowers the price target from $110 to $109.

Piper Sandler Maintains Neutral on Prudential Financial, Lowers Price Target to $109

The Hartford Insurance Gr (NYSE:<a class="ticker" href="https://www.benzinga.com/stock/HIG#NYSE">HIG</a>) has outperformed the market over the past 5 years by 14.16% on an annualized basis producing an average annual return of 28.76%. Currently, The Hartford Insurance Gr has a market capitalization of $34.92 billion. 
Buying $100 In HIG: If an investor had bought $100 of HIG stock 5 years ago, it would be worth $351.65 today based on a price of $122.93 for HIG at the time of writing.
<h3>The Hartford Insurance Gr's Performance Over Last 5 Years</h3>
<img src="https://www.benzinga.com/files/images/story/2025/1746198941_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

If You Invested $100 In This Stock 5 Years Ago, You Would Have This Much Today

WIIM

PDEX

Pro-Dex shares are trading lower after the company reported worse-than-expected Q3 sales results.

Macquarie analyst Chad Beynon maintains Rush Street Interactive (NYSE:<a class="ticker" href="https://www.benzinga.com/stock/RSI#NYSE">RSI</a>) with a Outperform and maintains $16 price target.

Macquarie Maintains Outperform on Rush Street Interactive, Maintains $16 Price Target

Keybanc analyst Eric Sheridan maintains LXP Industrial Tr (NYSE:<a class="ticker" href="https://www.benzinga.com/stock/LXP#NYSE">LXP</a>) with a Overweight and lowers the price target from $11 to $10.

Keybanc Maintains Overweight on LXP Industrial Tr, Lowers Price Target to $10

Microalgo Inc. (The &quot;Company&quot; or &quot;Microalgo&quot;) (NASDAQ:<a class="ticker" href="https://www.benzinga.com/stock/MLGO#NASDAQ">MLGO</a>) Announced Today the Launch of Their Latest Classifier Auto-Optimization Technology Based on Variational Quantum Algorithms (Vqa). This Technology Significantly Reduces the Complexity of Parameter Updates During Training Through Deep Optimization of the Core Circuit, Markedly Improving Computational Efficiency. Compared to Other Quantum Classifiers, This Optimized Model Has Lower Complexity and Incorporates Advanced Regularization Techniques, Effectively Preventing Model Overfitting and Enhancing the Classifier&#39;s Generalization Capability. the Introduction of This Technology Marks a Significant Step Forward in the Practical Application of Quantum Machine Learning.
Traditional quantum classifiers can theoretically leverage the advantages of quantum computing to accelerate machine learning tasks, but they still face numerous challenges in practical applications. Firstly, current mainstream quantum classifiers often require deep quantum circuits to achieve efficient feature mapping, which results in high optimization complexity for quantum parameters during training. Additionally, as the volume of training data increases, the computational load for parameter updates grows rapidly, leading to prolonged training times and impacting the model&#39;s practicality.
MicroAlgo&#39;s classifier auto-optimization technology significantly reduces computational complexity through deep optimization of the core circuit. This approach improves upon two key aspects: circuit design and optimization algorithms. In terms of circuit design, the technology adopts a streamlined quantum circuit structure, reducing the number of quantum gates and thereby lowering the consumption of computational resources. On the optimization algorithm front, this classifier auto-optimization model employs an innovative parameter update strategy, making parameter adjustments more efficient and substantially accelerating training speed.
In the training process of classifiers based on variational quantum algorithms (VQA), parameter optimization is one of the most critical steps. Generally, VQA classifiers rely on Parameterized Quantum Circuits (PQC), where updating each parameter requires computing gradients to adjust the circuit structure and minimize the loss function. However, the deeper the quantum circuit, the more complex the parameter space becomes, requiring optimization algorithms to perform more iterations to achieve convergence. Furthermore, uncertainties and noise in quantum measurements can also affect the training process, making it difficult for the model to optimize stably.
Traditional optimization methods often employ strategies such as Stochastic Gradient Descent (SGD) or Variational Quantum Natural Gradient (VQNG) to find optimal parameters. However, these methods still face challenges such as high computational complexity, slow convergence rates, and a tendency to get trapped in local optima. Therefore, reducing the computational burden of parameter updates and improving training stability have become key factors in enhancing the performance of VQA classifiers.
MicroAlgo&#39;s classifier auto-optimization technology, based on variational quantum algorithms, significantly reduces the computational complexity of parameter updates through deep optimization of the core circuit. It also incorporates innovative regularization techniques to enhance the stability and generalization capability of the training process. The core breakthroughs of this technology include the following aspects:
Depth Optimization of Quantum Circuits to Reduce Computational Complexity: In traditional VQA classifier designs, the number of layers in the quantum circuit directly impacts computational complexity. To lower computational costs, MicroAlgo employs an Adaptive Circuit Pruning (ACP) method during optimization. This approach dynamically adjusts the circuit structure, eliminating redundant parameters while preserving the classifier&#39;s expressive power. As a result, the number of parameters required during training is significantly reduced, leading to a substantial decrease in computational complexity.
Hamiltonian Transformation Optimization (HTO): Additionally, MicroAlgo introduces an optimization method based on Hamiltonian transformations. By altering the Hamiltonian representation of the variational quantum circuit, this technique shortens the search path within the parameter space, thereby improving optimization efficiency. Experimental results demonstrate that this method can reduce computational complexity by at least an order of magnitude while maintaining classification accuracy.
Novel Regularization Strategy to Enhance Training Stability and Generalization Capability: In classical machine learning, regularization methods are widely used to prevent model overfitting. In the realm of quantum machine learning, MicroAlgo introduces a novel quantum regularization strategy called Quantum Entanglement Regularization (QER). This method dynamically adjusts the strength of quantum entanglement during training, preventing the model from overfitting the training data and thereby improving the classifier&#39;s generalization ability on unseen data.
Additionally, an optimization strategy based on the Energy Landscape is incorporated, which adjusts the shape of the loss function during training. This enables the optimization algorithm to more quickly identify the global optimum, reducing the impact of local optima.

MLGO

MicroAlgo Launches Their Latest Classifier Auto-Optimization Technology Based on Variational Quantum Algorithms

<a href="https://www.bloomberg.com/news/articles/2025-05-02/trump-administration-proposes-cutting-6-billion-from-nasa-s-budget?embedded-checkout=true">https://www.bloomberg.com/news/articles/2025-05-02/trump-administration-proposes-cutting-6-billion-from-nasa-s-budget?embedded-checkout=true</a>

Politics

General

BlackSky Technology Inc. Class A Common Stock

BKSY

IRDM

LUNR

MNTS

RKLB

SPCE

SPIR

'Trump Administration Proposes Cutting $6 Billion From NASA's Budget'- Bloomberg

Piper Sandler analyst Crispin Love maintains Annaly Capital Management (NYSE:<a class="ticker" href="https://www.benzinga.com/stock/NLY#NYSE">NLY</a>) with a Overweight and lowers the price target from $21.5 to $21.

Piper Sandler Maintains Overweight on Annaly Capital Management, Lowers Price Target to $21

Macquarie analyst Chad Beynon maintains MGM Resorts International (NYSE:<a class="ticker" href="https://www.benzinga.com/stock/MGM#NYSE">MGM</a>) with a Outperform and lowers the price target from $50 to $48.

Macquarie Maintains Outperform on MGM Resorts International, Lowers Price Target to $48

Piper Sandler analyst John Barnidge maintains Globe Life (NYSE:<a class="ticker" href="https://www.benzinga.com/stock/GL#NYSE">GL</a>) with a Overweight and lowers the price target from $152 to $147.

Piper Sandler Maintains Overweight on Globe Life, Lowers Price Target to $147

A historic divergence is unfolding across asset classes, with gold surging to its best presidential-term start since Gerald Ford while U.S. stocks post their worst performance since the same era, and Bank of America's chief strategist Michael Hartnett says investors are increasingly betting on policy shifts to rescue the market <a href="https://www.benzinga.com/news/econ-s">from soft macroeconomic headwinds.</a>
In a note shared Friday, Hartnett outlined how the "second 100 days" of Donald Trump's hypothetical 2025 presidency could bring a pivot toward lower tariffs, lower rates and lower taxes — a bullish trifecta for risk assets. 
That shift, he said, could revive appetite for equities, even as recession signals persist in the economic data.
Just a week ago, Hartnett said a sustainable bull market would need three things: lower Treasury yields under 4%, consistent earnings growth above 5%, and a meaningful U.S.-China tariff rollback. His strategy remained: "Stay BIG, sell rips" — favoring bonds, international stocks and gold while fading rallies in U.S. equities.
<h3 class="wp-block-heading">Best Start For Gold In Nearly 50 Years</h3>
Gold is the standout performer year to date, up 22%, marking its best opening 100 days since the Ford administration. 
In contrast, the S&amp;P 500 is down 0.3%, its worst kickoff since the 1970s, while the U.S. dollar has tumbled 7.6%, logging its steepest slide since the Nixon era.
Notably, gold – as tracked by the SPDR Gold Trust (NYSE:<a class="ticker" href="https://www.benzinga.com/stock/GLD#NYSE">GLD</a>) – logged its fifth straight month of outperformance versus stocks in April, notching both the longest streak since 2009 and the strongest since 2011. 
Read more: <a href="https://www.benzinga.com/economics/macro-economic-events/25/05/45154011/gold-leaves-sp-500-in-the-dust-with-biggest-outperformance-in-14-years">Gold Leaves S&amp;P 500 In The Dust With Biggest Outperformance In 14 Years</a>
Hartnett attributed the initial market moves to headline-grabbing developments like artificial intelligence excitement, crypto speculation, NATO tensions and "Liberation Day" trades. 
Yet, these trades are now "unwinding significantly," he said, as attention shifts to potential Trump-era economic policies in the pipeline.
<h3 class="wp-block-heading">Lower Yields, Weaker Dollar Cushion ‘Soft' Macro Data</h3>
Treasury yields are reflecting expectations of easier monetary policy. The 2-year Treasury yield has fallen 70 basis points since Trump&#8217;s Inauguration Day, oil is down 20%, and the U.S. dollar is weakening. 
These moves, combined with strong capital expenditures in AI — tracking at $320 billion for 2025 — are helping to cushion the blow from deteriorating economic indicators.
Soft macro data is still troubling: GDP forecasts for 2026 have dropped to 1.5% from 2%, oil has plunged 56% since the Russia-Ukraine shock and 17% since "Liberation Day," and consumer sentiment remains weak. 
Yet, Hartnett said as long as the U.S. labor market holds up — with no significant cracks in payrolls — recession fears may be premature.
April employment growth soared by 177,000, according to official statistics released Friday, topping estimates of 130,000. 
Now Read: 
<ul>
<li><a href="https://www.benzinga.com/economics/macro-economic-events/25/05/45166673/trump-cheers-falling-inflation-traders-pare-bets-on-fed-easing-after-jobs-report-the-fed-should-lower-its-rate">Trump Pressures Fed After Solid Jobs, Cooling Inflation: &#8216;Lower Its Rate!&#8217; (CORRECTED)</a></li>
</ul>
Image: Shutterstock

Equities

Large Cap

Macro Economic Events

Commodities

Econ #s

Economics

Federal Reserve

ETFs

Trump's First 100 Days Fuel Gold, Crush Stocks: BofA Strategist Sees Soft Macro Masked By Hard AI Bets

Asserts that the Company's Current Directors Have Allowed a Culture of Complacency and Deference to Management to Take Root in the Boardroom
Debunks Phillips 66's Misleading Claims&nbsp; &nbsp;
Urges Shareholders to Help Phillips 66 Unlock its Full Value-Creation Potential by Voting on the Gold Card for Elliott's Four Independent Nominees
WEST PALM BEACH, Fla., May 2, 2025 /PRNewswire/ -- Elliott Investment Management&nbsp;L.P. ("Elliott"), which manages funds that together make it a top-five shareholder in Phillips 66 (NYSE:<a class="ticker" href="https://www.benzinga.com/stock/PSX#NYSE">PSX</a>) (the "Company" or "Phillips"), today sent a letter to the Company's shareholders highlighting the continuous poor corporate governance and disingenuous shareholder engagement that Phillips 66 has demonstrated over the more than 18 months that Elliott has sought to work with the Company. As an appendix to the letter, Elliott also included a detailed refutation of the misleading "questions" and claims Phillips 66 has published in an attempt to distract shareholders from the Company's persistent&nbsp;underperformance, culture of complacency and broken governance.&nbsp;&nbsp;&nbsp;

Management

Elliott Sends Letter To Shareholders; Asserts That The Company's Current Directors Have Allowed A Culture Of Complacency And Deference To Management To Take Root In The Boardroom

Piper Sandler analyst Nathan Race maintains Alerus Financial (NASDAQ:<a class="ticker" href="https://www.benzinga.com/stock/ALRS#NASDAQ">ALRS</a>) with a Neutral and raises the price target from $22 to $23.

ALRS

Piper Sandler Maintains Neutral on Alerus Financial, Raises Price Target to $23

Keybanc analyst Jeffrey Hammond maintains ITT (NYSE:<a class="ticker" href="https://www.benzinga.com/stock/ITT#NYSE">ITT</a>) with a Overweight and raises the price target from $150 to $160.

Keybanc Maintains Overweight on ITT, Raises Price Target to $160

Macquarie analyst Tao Qiu maintains Ensign Group (NASDAQ:<a class="ticker" href="https://www.benzinga.com/stock/ENSG#NASDAQ">ENSG</a>) with a Outperform and lowers the price target from $159 to $156.

ENSG

Macquarie Maintains Outperform on Ensign Group, Lowers Price Target to $156

Piper Sandler analyst Peter Keith maintains Savers Value Village (NYSE:<a class="ticker" href="https://www.benzinga.com/stock/SVV#NYSE">SVV</a>) with a Neutral and raises the price target from $10 to $11.

Piper Sandler Maintains Neutral on Savers Value Village, Raises Price Target to $11

DuPont de Nemours Inc. (NYSE:<a class="ticker" href="https://www.benzinga.com/stock/DD#NYSE">DD</a>) shares are trading lower despite the company&#8217;s <a href="https://www.benzinga.com/pressreleases/25/05/n45160759/dupont-reports-first-quarter-2025-results" target="_blank" rel="noreferrer noopener">first-quarter 2025 results</a> beating Wall Street estimates.
The company reported sales growth of 5% year-over-year to $3.07 billion, beating the consensus of $3.04 billion. Organic sales increased by +6% YoY, with an 8% volume boost offset by 2% lower prices. Electronics, healthcare and water drove volume gains.
Organic sales by region, Asia Pacific rose 13%, EMEA 4%, while the U.S. and Canada were flat. ElectronicsCo grew 14%, IndustrialsCo by 2%.       
DuPont&#8217;s operating EBITDA rose 16% YoY to $788 million, and its margin expanded by 240 bps to 25.7%. Adjusted EPS for the quarter was $1.03 (+30% YoY), beating the consensus of $0.79.
Electronics sales totaled $1.12 billion (+14% YoY), and the operating EBITDA margin expanded by 340 bps to 33.4%. IndustrialsCo sales totaled $1.95 billion (+2% YoY), and the operating EBITDA margin expanded by 130 bps to 23.8%.
&#8220;We continue to benefit from ongoing strength in electronics markets as well as strong demand in healthcare and water end-markets. Through April, we continued to see strong order patterns consistent with our expectations,&#8221; said Lori Koch, DuPont&#8217;s CEO.
&#8220;Our global manufacturing footprint and flexible supply chain network serves us well as we manage through the impact of tariffs,&#8221; Koch continued. &#8220;Our teams are actively engaged with customers and suppliers as we work to further mitigate the impact.&#8221;
The company generated $382 million in operating cash, spent $249 million on capital projects, and paid $79 million in separation costs, yielding $212 million in adjusted free cash flow with a 49% conversion rate.
DuPont reported a GAAP loss due to a $768 million non-cash goodwill impairment tied to its Aramids unit (Nomex&#xAE; and Kevlar&#xAE;) following a 2025 segment realignment and revaluation of assets from the Dow-DuPont merger.
Q2 Outlook: DuPont expects net sales of ~$3.20 billion versus the consensus of $3.25 billion and Adjusted EPS of ~$1.05 versus the consensus of $1.08.
&#8220;Our full year 2025 guidance remains unchanged from our prior outlook. Further, full year guidance does not include a net cost impact of announced tariffs currently estimated at $60 million, or about $0.10 per share,&#8221; said Antonella Franzen, DuPont CFO.
2025 Outlook, reaffirmed: DuPont sees adjusted EPS of $4.30–$4.40 versus the $4.34 consensus and expects revenue of $12.8 billion-$12.9 billion versus the $12.92 billion consensus.
The company expects Operating EBITDA of $3.325 billion–$3.375 billion.&nbsp;&nbsp;&nbsp;
The company confirmed it remains on schedule for the planned Nov. 1, 2025, spin-off of its Electronics business, recently named Qnity. It continues to meet key milestones for the separation, including executive and board appointments and last week&#8217;s filing of the initial Form 10 registration statement with the SEC.
DD Price Action: DuPont shares are trading up 0.98% at $67.70 at publication on Friday.
Read Next: • <a href="https://www.benzinga.com/news/earnings/25/04/45080514/sherwin-williams-reports-mixed-q1-results-in-choppy-demand-environment" target="_blank" rel="noreferrer noopener">Sherwin-Williams Reports Mixed Q1 Results In &#8216;Choppy&#8217; Demand Environment</a>
 Photo: Lalaka via Shutterstock

Earnings

Guidance

DuPont Delivers Strong Q1, Highlights Electronics Spin-Off, Confirms 2025 Guidance

Piper Sandler analyst Brian Mullan maintains McDonald's (NYSE:<a class="ticker" href="https://www.benzinga.com/stock/MCD#NYSE">MCD</a>) with a Neutral and raises the price target from $292 to $314.

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