I am faced with the same question every time. Do I let my profits run or do I take profits at regular intervals?

For my part, I have found my strategy. With very few exceptions, I am a fan of staggered profit-taking.

The screenshot shows this very well using Alibaba as an example. Only yesterday, after a 10% rise, I took further profits and reduced almost my entire position except for a small part.

So I rarely go "all-out" at once ... but I also rarely go "all-in" at once.

This has two advantages for me:

1) If I'm wrong (at the time of the sale - the share continues to rise afterwards or continues to fall after the purchase), I still profit from it

2) Profit-taking always feels good. You have something in your hand - and no one has ever been impoverished by profit-taking 😉

How do you handle this? What is your strategy?

$BABA

This morning $BABA the mail.

The shares of Alibaba rose sharply on Wednesday after CEO Eddie Wu unveiled ambitious plans to massively expand investment in artificial intelligence (AI). The share price of the Hong Kong-listed e-commerce and cloud giant rose by more than six percent, reaching its highest level since 2021. Since the beginning of the year, the gain has amounted to over 107 percent.

Billion-euro offensive for AI infrastructure

At Alibaba Cloud's annual technology conference, Wu announced that the company would continue to expand the three-year initiative worth 380 billion yuan (around 53 billion US dollars) that was presented in February. The aim is to accelerate the development of AI models and the necessary infrastructure.

"We are vigorously pushing forward a comprehensive 380 billion yuan initiative in AI infrastructure and plan to further increase these investments in line with our strategic vision in anticipation of the era of artificial superintelligence," said Wu.

The term "artificial superintelligence" describes a hypothetical form of AI that surpasses the cognitive abilities of the human brain - a topic that is increasingly becoming the focus of leading tech companies.

New generation of Qwen models

As part of the conference, Alibaba also presented the latest version of its language models: the Qwen3-Max. In addition to the flagship model, the company presented further updates to its AI products, ranging from improved cloud services to more powerful developer tools.

Wu emphasized that Alibaba Cloud is uniquely positioned as a "full-stack AI service provider". The company operates its own data centers, which provide the necessary computing power for training and operating large-scale AI models.

Global competition for computing power

The CEO emphasized the scale of global AI investments: "The cumulative investment in artificial intelligence will exceed four trillion US dollars worldwide in the next five years. This is the largest investment in computing power and research and development in history."

Hello dear Getquin Community,

After $ORCL Oracle caused quite a stir after the last quarterly figures and the market reacted extremely positively with a 40 percent increase in the share price, so much so that CEO Larry Ellison briefly became the richest person in the world overnight, I wanted to unravel the magic and find out exactly which division caused this tremor.

The answer is Cloud Infrastructure, or OCI for short. In this area, the demand for data centers for artificial intelligence has exploded, which has brought Oracle long-term orders worth 455 billion US dollars. However, it is not only Oracle that is benefiting, but also other hyperscalers, regional challengers and, above all, the so-called shovel manufacturers that provide the basic infrastructure.

I have taken the trouble to look for potential competitors and up-and-coming challengers so that you have a complete overview of this sector. I have divided the whole thing into the following segments: 🌍 Big players (hyperscalers), 💡 Hidden champions (selection by region), ⚒️ Shovel manufacturers (infrastructure suppliers) and, as always, my favorite.

If I have overlooked any important aspects or a classification was not entirely precise, I look forward to your comments and exciting additions. Together we can understand this topic even better and learn from each other.

Feel free to leave a 👍. I wish you every success with your investments 🚀

🌍 Big Player (Hyperscaler)

Amazon Web Services - $AMZN (USA, Nasdaq) → World market leader with >30 % market share, huge data centers & own AI chips (Trainium, Inferentia)

Microsoft Azure - $MSFT (USA, Nasdaq) → second largest provider, strong AI focus through OpenAI partnership

Google Cloud - $GOOGL (USA, Nasdaq) → third largest provider, specialized in AI workloads & big data

Oracle Cloud Infrastructure (OCI) - $ORCL (USA, NYSE) → Number 4 worldwide, currently fastest growth (+70-80 %), RPO USD 455 bn

Alibaba Cloud - $BABA , $9988 (China, NYSE/HKEX) → Market leader in Asia, complete cloud suite from IaaS to AI

Favorite: Oracle - $ORCL

Oracle impresses with its cloud infrastructure OCI, which recently collected orders worth 455 billion US dollars. The moat lies in the close integration of the database business and cloud services as well as the multi-cloud partnerships with Microsoft and Google. The compounder property is the result of long-term contracts and economies of scale in data center construction.

Alternative favorite: Alibaba Cloud - $BABA , $9988

Alibaba is number one in Asia and number four worldwide. The moat lies in the close integration with Alibaba's e-commerce and fintech ecosystem. The compounder property stems from the enormous growth in emerging markets and the increasing demand for cloud services in China. While the stock is valued significantly cheaper than Oracle, there are geopolitical and regulatory risks.

💡 Hidden champions (selection by region)

🇪🇺 Europe

OVHcloud - $OVH PA (France) → largest European cloud provider, GDPR- and Gaia-X-focused

Scaleway - private (France, part of the Iliad Group) → Developer and AI cloud platform

T-Systems - part of $DTE DE (Deutsche Telekom, Germany) → Hybrid & Sovereign Cloud for Public Sector

IONOS - $IOS DE (Germany, Xetra)

Largest European web hosting and SME cloud provider. Burggraben: strong brand and high customer loyalty in the SME sector.

Aruba Cloud - private (Italy) → regionally strong in SMEs & hosting

Outscale - private (France, subsidiary of Dassault $DSY.PA) → Industrial Cloud & Simulation

Favorite: OVHcloud - $OVH

Burggraben: strong position as a GDPR-compliant sovereign cloud with Gaia-X. Compounder: increasing trust from authorities and companies ensures growing recurring revenues.

🇨🇳 China

Baidu AI Cloud - part of $BIDU , $9888 (Nasdaq, China/USA) → AI workloads, autonomous driving, language models

JD Cloud - part of $JD , $9618 (Nasdaq, China/USA) → Cloud for e-commerce & retail

Kingsoft Cloud - $KC , $3896 (Nasdaq, China/USA) → Gaming, streaming and app cloud

China Telecom Cloud - part of $728 HK (HKEX) → Infrastructure cloud, state-supported

China Mobile Cloud - part of $941 HK (HKEX) → 5G edge cloud with telecom backbone

Favorite: Kingsoft Cloud - $KC , $3896

Moat: Specializing in gaming, streaming and mobile apps with deep integrations into ecosystems. Compounder: benefits from China's growing online consumption and strong embedding in the Tencent environment.

🇯🇵 Japan

NTT Communications - part of $9432 T (Tokyo) → Enterprise cloud with global network

NEC Cloud - $6701 T (Tokyo) → Government & security solutions

Fujitsu Cloud K5 - $6702 T (Tokyo) → Hybrid cloud for large companies

Rakuten Symphony Cloud - part of $4755 T (Tokyo) → 5G & telecom cloud

IIJ Cloud - $3774 T (Tokyo) → Cloud pioneer for enterprise IT

Favorite: NTT - $9432

Moat: global telecom backbone and huge enterprise customer base. Compounder: expansion of data centers in Asia and Europe with stable recurring revenues.

🇮🇳 India

Reliance Jio Cloud - part of $RELIANCE NS (NSE India) → Telecom Cloud, partnership with Azure

Tata Communications IZO - $TATACOMM NS (NSE India) → Hybrid cloud & global backbone

Infosys Cobalt - $INFY (NYSE/NSE India) → Cloud migration platform & consulting

HCLTech Cloud - $HCLTECH NS (NSE India) → AI-powered hybrid cloud

Wipro Cloud Studio - $WIPRO NS (NSE India) → MultiCloud service provider

Favorite: Tata Communications - $TATACOMM

Moat: global fiber optic network and deep networking in hybrid cloud. Compounder: growing international expansion and increasing demand for multi-cloud solutions.

🌏 Asia / Oceania

Naver Cloud - part of $035420 KQ (Korea KOSDAQ) → AI & gaming cloud

Samsung SDS Cloud - $018260 , $SMSN KQ (Korea KOSDAQ) → Enterprise & IoT Cloud

KT Cloud - part of $030200 KQ (Korea KOSDAQ) → Telecom & Edge Cloud with 5G

Telstra Cloud - $TLS AX (Australia) → Telecom Cloud, Asia-Pacific focus

Macquarie Telecom Cloud - $MAQ AX (Australia) → Public Sector & Compliance

Favorite: Naver Cloud - $035420

Moat: strong integration of AI and gaming in Korea. Compounder: rapid scaling due to growing demand for AI and ML applications.

🌍 Latin America

UOL Diveo (Compasso UOL) - private (Brazil) → Cloud + Managed Services

Tivit Cloud - private (Brazil) → MultiCloud for industry & banks

Locaweb Cloud - $LWSA3 SA (Brazil) → SME Hosting & Cloud

Claro Cloud - part of $AMX (Mexico, NYSE/HKEX) → Telecom Cloud in Latin America

DesireCloud - private (Chile/Peru) → Local provider for companies

Favorite: Locaweb - $LWSA3

moat: Market leader for SME cloud and hosting in Brazil. Compounder: enormous scalability through the digitalization of small and medium-sized enterprises throughout Latin America.

🇨🇦 Canada

OVHcloud Canada - part of $OVH PA (France) → Data centers for North America

SherWeb - private (Quebec) → Cloud and MSP services for SMEs

HostPapa - private (Canada) → SME cloud solutions

Canadian Web Hosting - private (Canada) → Cloud & hosting with a focus on data protection

Beanfield Cloud - private (Toronto) → Cloud combined with fiber optic infrastructure

Favorite: SherWeb - private

Moat: close ties to SMEs via managed services. Compounder: fast-growing cloud ecosystem for small businesses in North America, high customer loyalty.

⚒️ Blade manufacturers (infrastructure suppliers)

🖥️ Semiconductors & Chips

Nvidia - $NVDA (USA, Nasdaq) → GPUs for AI training & cloud

AMD - $AMD (USA, Nasdaq) → CPUs/GPUs for Data Center

Intel - $INTC (USA, Nasdaq) → Server CPUs & AI accelerators (Gaudi)

TSMC - $TSM (Taiwan, NYSE/TWSE) → largest chip manufacturer, produces for NVIDIA/AMD

Samsung Electronics - $SMSN KQ (Korea) → Memory, foundry, GPUs/CPUs

Favorite: Nvidia - $NVDA

Moat: near monopoly in high-end GPUs for AI. Compounder: Ecosystem and network effects through CUDA and developer community.

📦 Data center hardware & servers

Supermicro - $SMCI (USA, Nasdaq) → GPU clusters & AI servers

Dell Technologies - $DELL (USA, NYSE) → Enterprise Servers & Storage

Hewlett Packard Enterprise - $HPE (USA, NYSE) → Hybrid Cloud & Edge

Inspur - private (China) → AI & Cloud Server

Lenovo - $LNVGY (China/ADR) → HPC and AI servers

Favorite: Supermicro - $SMCI

Moat: Specialization in GPU clusters and AI servers. Compounder: benefits from every expansion of the hyperscalers, extremely high scalability.

⚡ Memory & network chips

Micron - $MU (USA, Nasdaq) → DRAM & HBM memory

SK Hynix - $HY9H KQ (Korea) → Memory chips, HBM for NVIDIA

Broadcom - $AVGO (USA, Nasdaq) → Network Chips & Switches

Marvell - $MRVL (USA, Nasdaq) → Network & 5G chips

ASE Technology - $ASX (Taiwan, NYSE) → Packaging for high-end chips

Favorite: Broadcom - $AVGO

Moat: deep roots in network infrastructure of hyperscalers. Compounder: benefits from rising demand for switches and custom chips for the cloud.

🏭 Data centers / colocation

Equinix - $EQIX (USA, Nasdaq) → largest colocation provider worldwide

Digital Realty - $DLR (USA, NYSE) → Data centers worldwide, strong in Europe/USA

China Telecom DC - part of $728 HK (HKEX) → Data center infrastructure in China

NTT Data Centers - part of $9432 T (Tokyo) → Data centers in Asia/Europe

NEXTDC - $NXT AX (Australia) → Growing data centers in the APAC region

Favorite: Equinix - $EQIX

Moat: global networking and extremely high switching costs for customers. Compounder: continuous expansion and cross-selling potential through platform structure.

🔋 Energy & cooling

Schneider Electric - $SU PA (France, Euronext) → Power & Cooling for Data Center

ABB - $ABBN (Switzerland, SIX/NYSE ADR) → Energy & Automation

Siemens Energy - $ENR (Germany, Xetra) → Power Grids & Data Center Technology

Vertiv - $VRT (USA, NYSE) → Cooling, Racks & UPSs

Eaton - $ETN (Ireland/USA, NYSE) → Power Management

Favorite: Schneider Electric - $SU

Burggraben: market-leading energy and cooling systems for data centers. Compounder: long-term growth due to increasing demand for efficient data centers.

🌐 Network & Connectivity

Cisco - $CSCO (USA, Nasdaq) → Router & Network Hardware

Arista Networks - $ANET (USA, NYSE) → High-speed switches for hyperscalers

Juniper Networks - Acquisition by $HPE Hewlett Packard HP (USA, NYSE) → Routing & Network Security

Ciena - $CIEN (USA, NYSE) → Fiber Optics & Optical Networks

Nokia - $NOK (Finland, NYSE/Helsinki) → 5G & Core Networks

Favorite: Arista Networks - $ANET

Moat: technological leadership in high-speed switches in hyperscaler data centers. Compounder: enormous growth opportunities due to exponential data traffic in AI workloads.

✨ Takeaway

The Oracle quake shows: Cloud & AI are the growth drivers of the coming years. While hyperscalers are in the spotlight, hidden champions are growing in their niches in the background and blade manufacturers are making money from every expansion of the infrastructure.

👉 Question for you: Do you prefer to focus on hyperscalers in your strategy? hyperscalersthe hidden champions or directly on the shovel manufacturers?

I look forward to your opinions!

Source: own analysis

Image - Image credit: Getty Images

I entered Alibaba in February 2024 at €68, convinced that I was facing one of those opportunities that the market offers from time to time. The stock was full of doubts, punished by skepticism towards the big Chinese technology companies, and yet I saw a company with a potential that, in my opinion, was far from being reflected in the price. From the very first moment I set a selling target of 150 €, not because I was looking for a lucky break, but because it seems to me a reasonable level for a company of this caliber.

What attracted me most about Alibaba was that mix of strength and resilience. Despite regulatory pressures and fierce competition, the company maintains an ecosystem that goes far beyond just online sales: e-commerce, logistics, financial services and a huge user base that has become part of everyday life in China. That integration is not easy to replicate and is, in my opinion, one of the reasons why Alibaba is still standing, even when the market seems bent on underestimating it.

But if there's one thing that gives me confidence going forward, it's its commitment to the cloud and artificial intelligence. We are not talking about an add-on, but a strategic move that could redefine the company. The investment it is putting into infrastructure and new technologies is huge, and although the results are not immediately visible, the feeling is that Alibaba is paving the way to become a key player in sectors that will shape the future. I know that competition with Amazon, Microsoft or Google is titanic, but the advantage of having a huge domestic market and the ability to invest in the long term are factors that should not be overlooked.

I am aware that the path will not be linear. There will be jolts, headlines that generate fear and days when it seems that the price retreats more than necessary. But it is precisely in those phases that I remind myself why I invested. My horizon is three years away and, in that time frame, I am confident that the company will prove with facts that its strategy works. I don't need the market to become euphoric, it's enough for me to reprice Alibaba in a way that is more consistent with what it stands for.

Investing in Alibaba, in the end, is a matter of patience. I don't expect explosive growth every quarter, but rather confirmation that the company continues to adapt, that it consolidates its cloud, that it turns artificial intelligence into a profitable business, and that it maintains its leadership in e-commerce. When that consolidates, the price should adjust itself.

That's why my €150 target is not a dream or a risky bet. It is simply the level at which I believe the market will eventually recognize what Alibaba already is and what it is on its way to becoming. And when that time comes, I will not experience it as a surprise, but as the natural consequence of having been patient enough.

Hello Community,

August is over and it's time for the transparent monthly review. The portfolio has reached a new high of € 36,188. It was a month of contrasts, in which the strength of some satellites offset the weakness in the tech sector.

1. the performance: 🚀

Beating the market 📈

With a monthly performance of +0,94% I am very satisfied. As the chart shows, my portfolio clearly outperformed the broad market (FTSE All-World: -0.31%) and the major US indices (S&P 500: -1.11%, NASDAQ100: -2.23%). The result proves the strength of diversification: while my tech stocks corrected, other sectors carried the performance.

2. my buys & sells: 🛒

None ❌

In August, I deliberately kept my feet still and did not make any individual purchases or sales. My focus was on waiting for the important quarterly reports and preparing my tactical purchases for September.

3. my savings plans & purchases in September: Tactical allocation 💸

As you know, I take a flexible approach to my individual shares and adjust my purchases on a monthly basis. Only my ETF savings plans run consistently. My allocation for the start of September looks like this:

➡️ $ACWI
$WSML (150 €): As always, the foundation is being consistently strengthened.

➡️ $MELI (€150) & Datadog (€75): Here I continue to build on my core conviction positions.

➡️ $TEM (125 €): This is my tactical pick for the month. I am opening a position in a highly potent and diversifying bet on the AI medical revolution.

➡️ $DDOG (75 €): A core position in my cl infrastructure cluster. Digital transformation and the need for cloud monitoring and security are unwavering megatrends for me.

➡️ $NOVO B (3 €): This is not an active allocation, but the automatic reinvestment of dividends received to maximize the compound interest effect for this quality position.

4. tops & flops: A reflection of the rotation 📉📈

Top mover: 🟢

The list was topped this month by the spectacular performance of $IREN (+60.69%), which is benefiting from the continuing demand for energy for AI data centers. My speculative bet on American Lithium (+20.00%) also showed strength. The recovery in $BABA (+10.21%) following good news on the cloud division and AI chip development.

Flop mover: 🔴

As expected, my tech stocks were hit here. $CRWD (-11.16%) and $DDOG (-5.45%) suffered and the weak market environment for growth stocks, although the quarterly figures were fundamentally good. Also $1211 (-8.22%) also suffered after disappointing figures; the situation here remains tense.

Conclusion:

August was perfect proof of why broad diversification across different sectors and themes is so crucial. Weakness in one area (US tech) was more than compensated for by strength in others (energy, China recovery). My flexible approach to monthly purchases allows me to react specifically to such market phases.

How did your August❓ go?

Which shares did you buy tactically ❓

I look forward to the exchange in the comments!

Hello Community,

Today's figures from $BABA show a mixed picture:

Total revenue missed expectations slightly, but the cloud division shines with 26% growth and beats forecasts. But the really important news came from the Wall Street Journal and explains the future of the company: Alibaba is developing its own advanced AI processors!

1. The context: necessity is the mother of invention

The US sanctions prohibit #NVIDIA the sale of its cutting-edge AI chips to China. For Alibaba Cloud, the heart of China's AI infrastructure, this is an existential threat. Without access to the best hardware, it is at risk of being left behind in the global AI race. Today's news is the logical and only possible response to this.

2. The strategic response: vertical integration

Alibaba is not only investing over 100 billion RMB in AI, but is now also building the crucial "shovels" itself. This move towards vertical integration is a brilliant move:

• Independence: Freeing itself from dependence on US technology and geopolitical tensions.

• New business segmentIn the long term, Alibaba could not only use these chips for its own cloud, but also sell them to other Chinese tech companies, thus opening up a new, highly profitable source of income.

• Perfect timingThe strong performance of the cloud division shows that the demand is there. Developing the right hardware now will secure future growth.

3. Impact on the market

The news briefly put pressure on NVIDIA shares today. This shows: The market understands that a potentially huge competitor is emerging here in a closed-off but gigantic market. For China, this is a decisive step on the road to technological sovereignty.

My conclusion:

The slight revenue miss is short-term noise. The strategic decision to build its own AI chip ecosystem is the real main story and a massively bullish signal for Alibaba's long-term future. Management is not just reacting, it is acting with foresight and turning the biggest weakness (dependency) into a potential new strength.

#CloudComputing
#AI
#Halbleiter
#TechWar
#China