I treat myself to a share in a cornerstone of European security. $RHM (-2.84%)

💪🚀

50-Weekly SMA tapped:

Stories from the chart Rheinmetall - Rausmetall

$RHM (-2.84%)

In 2024, I secured a few Rheinmetall shares in my savings plan. Thanks to a few minor setbacks, the average purchase price at the end of the day was just under €500.

When total customs war was declared in April 2025 and many shares crashed, I thought: It's going to be really bad and sold Rheinmetall. Secure profits...

But then I felt a bit stupid for a long time 🤷🏼‍♀️. Rheinmetall went up and up and up. And I could have made another 100% return. But now the share is getting closer and closer to my sell price of €1304 and I'm starting to feel better 🥲

$RHM (-2.84%) Where did you set a limit and sell the share? Or are you still holding it?

On Monday I sold my Cameco $CCO (+1%) position at a profit and then, somewhat late, went short on Palantir $PLTR (+0.97%) went short. At the same time, I bought into SUSS MicroTec $SMHN (+0.22%) a clear no-brainer for me. The company is technologically well positioned, but completely undervalued by the market. I expect significantly higher prices here in the coming weeks.

Today I closed my short on Palantir and instead bought Cameco $CCO (+1%) and Rheinmetall $RHM (-2.84%) bought more. Both remain core stocks for me in the current environment.

I am not a classic buy-and-hold investor, but actively trade according to trends and momentum. My focus is currently clearly on the nuclear, AI & robotics and defense sectors, all areas with long-term tailwinds.

Palantir $PLTR (+0.97%) should still have some room to fall in the short term (possible setback towards €132), but remains a long-term winner in the AI ecosystem for me.

Postscript:

When actively trading, whether swing or day trading, it is crucial to set a clear maximum. Greed and fear have no place here.

My own experience: I shorted Thyssenkrupp 3 weeks ago, was right and unfortunately got out too late. Instead of 140% profit, I ended up with only 13%. Timing and discipline beat emotion every time.

What was your experience this week and in the past few weeks?

After a volatile September with +6,2% the stabilization continued in October. My portfolio rose to 40.233 € and increased by +2,80 % slightly weaker than the NASDAQ 100 (+6.95 %)but still solidly in the green. While the major indices were driven by big tech, my portfolio once again showed strength in niche and future themes. ⚙️

1. performance & comparison 🚀

There was a moderate recovery over the course of the month: while the markets initially fluctuated, momentum returned towards the end.

With +2,8 % my portfolio remained below the NASDAQ 100, but performed better than broader indices such as the FTSE All World (+4.45 %) and DAX (+4.11 %) stable.

Particularly positive: the continued consolidation following the tech rallies of the previous months.

2. my savings plans & allocation 💶

My focus remains clear: managing liquidity and making targeted use of opportunities.

Since October, my new savings plan has been running on the Euro Overnight Rate Swap ETF (€ 500 per month) - as a flexible, interest-bearing "cash parking space" with daily liquidity and currently over 3.9 % return p.a. This allows me to keep capital ready to invest in quality shares in the event of setbacks.

3rd top mover in October 🟢

The month was led by IREN $IREN (+2.63%)
(+25,8 %)which once again benefited from the massive demand for computing power for AI. Also Snowflake $SNOW (+0.95%)
(+22,8 %) also made strong gains as investors increasingly focused on data-driven platforms again. The VanEck Uranium & Nuclear Energy ETF (+18.5 %) $NUKL (+1.04%) rose significantly, driven by the ongoing global reassessment of nuclear energy as a stable and low-carbon energy source. Geopolitical tensions and supply bottlenecks provided an additional boost. While American Lithium (+15.4 %) was supported by positive industry news. Also CrowdStrike $CRWD (+0.91%)
(+14 %) also impressed with strong demand in the cybersecurity segment and Datadog $DDOG (+0.6%)
(+12,2 %) benefited from robust cloud spending by large companies.

4th flop mover in October 🔴

On the losing side was Ferrari $RACE (+0.86%)
(-17,1 %)which was burdened by profit-taking and a more cautious outlook after a strong summer quarter. Tomra Systems $TOM (+0.69%)
(-15 %) corrected after weaker volume growth, while Rheinmetall $RHM (-2.84%)
(-14,1 %) suffered from geopolitical uncertainty despite a high order situation. Also Novo Nordisk $NOVO B (-10.8%)
(-6,8 %) also fell further as regulatory risks surrounding GLP-1 once again came into focus. BYD $1211 (+0.89%)
(-5,9 %) was volatile, weighed down by price pressure in China, while even Berkshire Hathaway $BRK.B (-0.31%)
(-2,7 %) closed slightly in the red.

5. conclusion 💡

October showed: Rotation instead of rally. Techs with real profitability are gaining momentum again, while overheated stocks are consolidating.

With the overnight ETF, I am deliberately building up a strategic "interest rate anchor" in order to remain flexible in the coming months.

My focus remains clear: Quality, liquidity and long-term scaling.

❓ Question for the community:

Which stock surprised you the most in October - positive or negative?

👇 Write it in the comments!

$BNTX (+0.27%)
$ON (+0.73%)
$HIMS (+0.79%)
$PLTR (+0.97%)
$O (-0.34%)
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$N1CL34
$UBER (+0.7%)
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$SHOP (+0.56%)
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$NOVO B (-10.8%)
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$CCO (+1%)
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$QBTS (-1.09%)
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$LI (+3.92%)
$RHM (-2.84%)
$DDOG (+0.6%)
$RL (+0.5%)
$OPEN (+4.13%)
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$STNE (+1%)
$SQ (-0.23%)
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$IREN (+2.63%)
$AFRM (+1.11%)
$CRISP (+0%)
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$WEED (-0.73%)

Most investors believe that successful investing means choosing the right shares to find the right stocks.

The truth is that it is about thinking correctly.

What separates successful investors from the crowd is not a secret information advantage

but the ability to to think beyond the first level.

This is called: Second-Order Thinking.

🩺 First-order thinking - the reflex

Most market participants act according to the obvious:

➡️ "Interest rates are rising - so I'm selling tech."

➡️ "Profits are falling - so the stock is bad."

➡️ "The company is growing - so I have to buy."

This is first-order thinking - linear, reactive thinking.

Logical in the short term, dangerous in the long term.

Why?

Because the stock market is not a math problem, but a dynamic system.

What seems "logical" today is already priced in tomorrow.

First-order thinkers trade according to headlines.

Second-order thinkers think in causalities.

🔁 Second-order thinking - the difference

Second-Order Thinking asks:

👉 "And what happens after that?"

👉 "How does the system change as a result of my assumption?"

👉 "What are the side effects if everyone makes the same decision?"

It is thinking in second-level consequences - not in effects, but in subsequent effects.

When interest rates rise, first-order thinkers think:

"Bad for tech - rates are falling."

Second-order thinkers think:

"In the short term, yes - but in the long term, inefficient competitors disappear.

Market leaders survive, become more profitable and their moats grow."

This way of thinking requires patience, scenario competence and intellectual humility.

You don't know what will happen will - but you understand what can happen.

📈 Practical examples from the real world

🇳🇱 ASML

First Order: "Export restrictions harm demand."

Second order: "Less competition → pricing power increases."

🇨🇳 BYD

First Order: "Price war destroys margins."

Second Order: "Economies of scale eliminate weak manufacturers. Market shares increase."

🇺🇸 NVIDIA

First Order: "GPU shortage jeopardizes growth."

Second Order: "Shortage strengthens technological supremacy. Competition loses out."

🇩🇪 Rheinmetall

First Order: "Geopolitical crises = short-term boom."

Second Order: "Structural armament + defense budgets for decades."

Second-order thinkers recognize:

Market mechanisms are feedback loopsnot one-way streets.

🧩 The psychological dimension

Second-order thinking contradicts human intuition.

Our brain looks for quick answers and clear connections.

But markets are systems with feedback loops.

Actions generate effects that trigger new actions.

Those who think in the first order act on the basis of emotion:

⚠️ FOMO, fear of loss, seeking confirmation.

Those who think in the second order act on the basis of structure:

🧠 cause, effect, consequence.

That is the reason why Patience and perspective are the rarest but most valuable edges on the market.

⚙️ How to train second-order thinking

✅ Ask yourself: "And what happens after that?" Not what the market knows today - but what it does not yet understand.

✅ Simulate counter-scenarios: What if the opposite happens? What would that mean?

✅ Analyze reactions: How do customers, competitors, politicians, central banks react to events?

✅ Accept complexity: Not everything is linear. Sometimes a negative impulse leads to growth in the long term.

✅ Observe market feedback: Recognize how narratives evolve - not just data points.

Second-Order Thinking is not a method -

it is a mental attitude.

📊 Conclusion

The best investors don't think, what happens -

but what happens next.

They see cycles where others see headlines.

They understand cause and effect - not emotion and noise.

Second-Order Thinking is the art,

not being smarter than others,

but thinking differently than the majority.

💬 Community question:

When was the last time you talked about the second level level of your decision -

and how has the result changed?

$ASML (+1.17%)
$1211 (+0.89%)
$NVDA (-0.32%)
$RHM (-2.84%)

Hello,

I have recently sold some individual shares again to take profits.

My portfolio has changed somewhat as a result, particularly in terms of individual stocks. Among other things, there are now some stocks with small amounts, which I will increase again.

Unfortunately, I still have a few skeletons in my closet that I can't get rid of.

For example $PARRO (+1.72%) or $3NGL (-4.45%)

Shares like $BNTX (+0.27%) I unfortunately bought too high.

What would you recommend? Wait until I get out without a loss or continue investing to compensate for the loss with an increase in value?

I am currently rebuilding the portfolio. Should I add shares from other sectors or continue to follow the trend? $RHM (-2.84%)
$NVDA (-0.32%)
$Google

Goodbye drone wall - hello mobile air defense close defense. Order value 9 MRD.

Skyranger and Mantis have what it takes to become the standardized FLAK tank solution within European NATO air defence. In particular due to the 35mm Oerlikon cannon which $RHM (-2.84%) has further developed. Together with the in-house AHEAD ammunition, I can't even think about what this, together with the updates in the next few years through AI, means for the expected sales.