I am also convinced of the value here $IBM (+1.22%) but I can well imagine that it will first consolidate a little after the rapid rise to around 300$. As the bill only ran until August, I set a very tight TSL here. I had already sold half of the position 3 weeks ago when my first price target was reached, at just over 300%.

$LMT (-1.33%) is committed to a comprehensive, AI-driven transformation. The aim is to improve the speed and quality of decision-making for complex, data-intensive problems and to modernize processes from the ground up.

In order to realize this transformation $LMT (-1.33%) entered into a strategic partnership with $IBM (+1.22%) has been entered into. This collaboration resulted in an AI-driven overhaul of the entire business by optimizing the data landscape and overcoming the complexity of data integration.

A central pillar of this transformation is the implementation of IBM Cloud Pak® for Data as a centralized data platform.

As part of this transformation, the Lockheed Martin AI Factory was created, a secure AI ecosystem where engineers can develop AI solutions at scale. This factory houses the BM® Granite® family of open-source Large Language Models (LLMs).

Various AI technologies are used to increase operational efficiency.

The transformation has already achieved significant results by streamlining internal operations and data management processes, enabling rapid and cost-effective innovation. The strategic partnership with IBM positions Lockheed Martin to exceed customer requirements and create a strong foundation for future growth. Specific IBM products used include components of IBM® watsonx™ as well as IBM Cloud Pak® for Data and IBM® Granite®.

Source: https://www.ibm.com/case-studies/lockheed-martin

In the AI sector and also with regard to quantum technology $IBM (+1.22%)

My current leverage product JT89BG unfortunately only runs until September. This means that it will soon be time for an exchange.

The IT group IBM (NYSE:IBM) is one of the major beneficiaries of the current AI wave, according to the US investment bank Wedbush. In a recent study, analyst Dan Ives raised his price target for the shares from USD 300 to USD 325. IBM remains one of the top recommendations in the software sector and is part of the "IVES AI 30" list compiled by Wedbush, which includes companies with strong AI potential.

According to Ives, IBM is still in the early stages of a growth cycle despite the recent share price development. He cited the increasing importance of artificial intelligence in the operational business as a key driver. The company already has an AI-supported order volume of more than six billion dollars. Over 70 AI-based workflows are now supported - including in sales, finance and marketing.

Demand for products from the subsidiary Red Hat and the recently acquired cloud specialist HashiCorp is also contributing to growth. In this context, Wedbush emphasized IBM's hybrid cloud architecture, which, together with AI applications, enables continuous innovation. According to the analysts, the majority of AI applications are likely to be container-based by 2027 - an area in which IBM is well positioned.

Further tailwind is expected to come from the developments surrounding the WatsonX platform and AI-supported software agents. Clients are increasingly viewing IBM as a partner for building and scaling their own AI applications. According to the company, there have been no noticeable changes in purchasing behavior in the overall portfolio so far.

In the long term, IBM is also investing more in the area of quantum computing. The development agenda includes the "Quantum Starling" system and the new "Quantum Nighthawk" chip, which is intended to enable greater fault tolerance and better networking. Even though this area is still being developed, IBM sees it as a strategic growth market with potential worth billions.

IBM is well positioned to benefit from the increasing demand for hybrid cloud and AI solutions, concludes Ives. Companies would increasingly rely on such technologies to achieve efficiency gains and future-proof their business models

and how do I represent this with a small deposit volume?

The word portfolio is important! I don't want to start a discussion here about whether real estate, ships, vintage cars and Pokemon cards belong in this category.

I have had a few thoughts on the subject, which are admittedly based on evaluations of my own portfolio.

Many people who follow my posts here probably think I'm a gambler, although the pure short-term derivative trades are clearly in the minority. I consider my portfolio to be fairly well diversified and I base this on a very simple point.

There is almost never a day when all stocks are green or all stocks are red. Why does that speak for diversification? Well, how many days have there been where all MSCI World stocks, commodities such as gold, oil, Bitcoin, all sector indices etc. have risen? I haven't counted them, but there probably weren't many. This means to me that portfolios where all stocks are often green or red cannot be sufficiently diversified.

Is that a logical approach?

And now a few more thoughts on why I trade relatively heavily in derivatives. Of course, the main point is that I can't otherwise achieve my goal of turning €3,000 into €100,000 in a maximum of 10 years without making large deposits.

At the beginning, a good 2 years ago with €3,000, I didn't have the capital to invest broadly and diversified in shares. Now that my portfolio value has increased to €15,000 over the past two years, it looks better, but you still can't make big leaps with it. So I use the vehicle of derivatives to invest broadly, especially in growth stocks, so that I can still invest in these companies.

I use either long-dated OS with a remaining term of more than 12 months or turbo certificates that run indefinitely. In contrast to short-term trades, I then use lower leverage, as the focus is not necessarily on quick profits, but on medium to long-term participation in the company's growth and the associated price increases.

I also take advantage of the opportunity to change the OS when it approaches maturity. On the one hand, this gives me a potentially higher return than with the old certificate with the short remaining term and I can continue to participate in the positive performance of the share.

For example, if a share costs €500 and I would only buy 10 shares because I like the company and am convinced in the long term, this would tie up a third of my portfolio. With a subscription ratio of 10:1, I would get an appropriate OS for around €8. So if you leave out the premium and leverage, I get the same opportunity for €800 as I would for €5,000.

Of course, this only works for growth stocks and not if I am looking for dividends.

I would also like to show you a practical example.

For example, if I want to play the quantum technology theme in the long term, I consider $IBM (+1.22%) is a very interesting possibility. For me, this is an absolute top tech stock in the medium to long term. That's why I bought an OS back in April, but it only had 8 months to run, so I'll be switching soon.

The share was at around €200 at the time. The OS was at €0.85. So I only paid slightly more for this investment with my original purchase of 300 shares than if I had bought 1 share.

However, as the profit is not the main point of this article, but rather how I can invest in more expensive quality companies in a broadly diversified manner even with a smaller portfolio volume, I will leave it out now. If you are interested, you can work it out for yourself.

So I hope I haven't bored you too much with my thoughts and strategies on the subject of diversification. By the way, there is of course one more tip. Despite all the care taken when selecting these longer-term investments, derivatives are of course always riskier than investing directly in shares. You should of course bear this in mind.

And now I wish you a nice hot start to the weekend.

$IBM (+1.22%)

NEW YORK / MUNICH (IT BOLTWISE) - IBM recently released its quarterly results, which failed to meet market expectations despite a slight increase in revenue of nearly 1% to $14.5 billion.

While earnings per share exceeded analysts' estimates, concerns about economic uncertainty and government cost-cutting remain.

IBM, a giant in the technology industry, has presented its latest quarterly results, which failed to meet investor expectations despite a slight increase in revenue of almost 1% to 14.5 billion US dollars. Earnings per share, adjusted for certain items, amounted to 1.60 US dollars, exceeding the average analysts' estimates. Nevertheless, the company's shares fell the most in a year on Thursday due to concerns about economic uncertainty and the potential impact of US government cost cuts.

Economic uncertainties, exacerbated by global trade disputes and geopolitical tensions, could hurt IBM's business prospects. In particular, the impact of tariffs and trade restrictions on supply chains and production costs are of concern to many companies, including IBM. These factors could significantly impact the company's ability to maintain its margins and continue to grow.

Another aspect that worries investors is the cost cuts announced by the US government. These could impact spending on IT services and products, which in turn could dampen demand for IBM's solutions. In an environment where companies are increasingly focusing on efficiency and cost savings, this could further intensify competition in the technology market.

From a technology perspective, IBM remains a pioneer in the development of AI-powered solutions and cloud services. The company continues to invest in improving its AI platforms and integrating cloud technologies to provide its clients with innovative and scalable solutions. These investments are crucial to remain competitive in the highly competitive enterprise software market.

Competition in the enterprise software space is intense, with strong competitors such as Microsoft and Amazon also investing in AI and cloud services. These companies offer similar solutions and are trying to gain market share by continuously improving and expanding their products. IBM must therefore continue to strengthen its innovative power and market strategy in order to maintain its position.

Looking ahead, IBM's focus on AI and cloud technologies could help the company to tap into new growth opportunities. Demand for AI-powered solutions and cloud services is growing steadily as organizations around the world drive their digital transformation strategies. IBM could benefit from this development by leveraging its technological strengths and adapting to changing market conditions.

Actually, I didn't want to buy anything extra at the moment (only monthly savings installments). But now I've taken advantage of today's low to buy a little at $IBM (+1.22%) and $QCOM (+0.96%) (10 shares each). No idea whether it was smart...

SPICK LETTEL

- $IONQ -- The market leader in precision quantum computing uses ion trap technology to deliver scalable, high-precision systems. IonQ is already solving real-world problems, enabling $AMZN and $MSFT to tackle challenges in logistics, AI and materials science.

- $NVDA (-0.68%) -- A cornerstone of quantum innovation, NVIDIA's CUDA Quantum platform enables developers to simulate quantum algorithms on GPUs, bridging the gap between quantum theory and real-world application across industries.

- $RGTI -- Rigetti focuses on superconducting qubits and aims to compete with industry leaders, but faces scalability and reliability challenges. Its Ankaa-3 system is promising, but the company needs to solve critical problems to remain competitive.

- $QBTS (-2.97%) -- D-Wave specializes in quantum annealing and is excellent for solving optimization problems, but lacks the broader capabilities of general-purpose quantum systems. Despite decades of experience in this field, its commercial viability remains limited.

- $ARQQ -- As a leader in quantum-safe encryption, Arqit's QuantumCloud provides practical solutions to protect sensitive data from quantum-based threats, making it a cornerstone of innovation in cybersecurity.

- $GOOG (+0.36%) -- Google Quantum AI, powered by its Willow processor, is advancing superconducting systems to achieve quantum superiority and drive breakthroughs in material simulation and AI optimization.

-$IBM (+1.22%) -- Delivering accessible quantum systems to the enterprise through the Qiskit platform and cloud-based hardware. IBM is focused on scaling fault-tolerant systems, delivering practical tools today while working to develop cutting-edge processors such as Eagle and Condor.

- $HON (-1.17%) -- Utilizing Trapped Ion technology, Honeywell delivers unmatched precision for real-world applications in aerospace and logistics. The partnership with Cambridge Quantum positions the company as a leading provider of quantum solutions for the enterprise.