I've been thinking a lot about small-cap stocks, individual stocks, Berkshire & Co. The result: I'm putting the next 50k into the IWDA. Sometimes, the boring portfolio really does win out. 😂
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971My Beginnings
I've been investing for 6 months now.
I'm very hesitant when it comes to investing in promising smaller companies with growth potential, and I tend to take a more defensive approach.
My thinking is that at a price of about €200, I should still $MCD (+1,23 %) and ride the wave of rising AI figures into the $W1TB (-4,55 %) .
The $MBG (-0,78 %) in my profile—I’m ignoring that; it was a gift from TR and wasn’t really on my mind. But it’s just there.
$XRP (-0,51 %) It was a one-time investment to see how the crypto market might behave. I also have a tiny stake in $SOL (-0,71 %) .
The majority consists of $IWDA (-0,69 %) and $EIMI (-1,48 %)
We're starting with 10% in emerging markets.
Good morning,
To diversify my portfolio, I am transferring 10% of the GSIF Global Fund to a non-ETF emerging markets fund.
My current portfolio is:
50% XEON $XEON (-0 %)
40% Global non-ETF (similar to $IWDA (-0,69 %) )
10% non-ETF Emerging Markets.
With this move, I am now aiming for a long-term target of 5%, without increasing volatility (my main objective) excessively.
In 3 months, my decision at the time to invest (again) will celebrate its 7th anniversary...
...and as of today, my portfolio stands at just under 310k (rounded up a bit), as a purely passive investor in those boring but tried-and-true ETF structures (from which I’ve strayed every now and then without taking a nasty fall—the IZF is hovering around 14% 😮💨😄). $VWCE (-0,8 %)
$WSML (-0,93 %)
$XMME (-1,78 %)
$IWDA (-0,69 %)
$BTC (-0,41 %)
Is this a good result? Is the performance over this period a success or just average? Just 3–4 years ago, questions like these would have kept me up at night. But something has changed in my experience and mindset since then. I’ve fully embraced mindlessly automated investing, and I’m absolutely thrilled about it. No event on the stock market fazes me anymore. Instead, I’m calm, content, and proud that I’ve maintained my discipline. Investing does something to you—definitely not in a bad way. And you’ve always played a part in that, which is why I’d like to thank all of you for this consistently motivating and pleasant community here. You’re all great.
And somehow it’s also funny that in real life we’d all just pass each other by, even though the tone here is always friendly and welcoming—at least that’s been my experience here 😄
Thanks to everyone—here’s to continued sparkling returns.
And always remember that we’re all living in a very luxurious bubble.
True happiness often only comes when you use material wealth (as well) to do good for others :)
Best regards
Yours, _EvD_🤓
The bubble is a reality compared to real life
The most costly investment mistakes originate in the mind
Why do so many investors sell their winners and hold onto their losers?
Why is a well-told story about a stock often more convincing than the cold, hard numbers?
And why does a loss in your portfolio feel worse than a gain of the same size feels good?
The answers come not from financial theory, but from psychology—more specifically, from Nobel laureate Daniel Kahneman.
His central thesis: The costliest mistakes in the stock market aren’t caused by a lack of information, but by the way our brains process the information we have. This has the strongest impact under conditions of uncertainty, time pressure, and complexity—in other words, precisely under stock market conditions.
Kahneman describes thinking as the interplay of two systems:
System 1 works quickly, automatically, and emotionally
System 2 works slowly, consciously, and critically
Because a complete analysis of all data is practically never possible, System 1 usually takes the lead in market decisions—and relies on heuristics, or simplifying rules of thought—and that is precisely where systematic errors arise:
Loss aversion: Psychologically, losses weigh more heavily than gains of the same magnitude. Kahneman and Tversky estimate the ratio to be approximately 2.25 to 1 —a loss of 100 € hurts about as much as a gain of 225 € brings joy. In practice, this leads to the so-called disposition effect: Winners are sold too early (to “lock in” the profit), while losers are held onto too long (to avoid having to realize the loss)—which is exactly the wrong order.
Anchoring effect: A number seen early on—the entry price, an old all-time high, someone else’s price target—becomes an internal reference point and shapes subsequent judgments, even if it has little factual basis. One’s own purchase price is the classic anchor: It is completely irrelevant to the question of whether a company is undervalued or overvalued today—yet almost everyone uses it as a benchmark.
WYSIATI (“What You See Is All There Is”): The information currently visible gives rise to a coherent, seemingly complete judgment—and what is not visible is ignored. A plausible narrative based on three data points is often more convincing than an inconvenient, incomplete set of facts. This explains why a well-told stock story is so seductive.
Overconfidence: Decision-makers overestimate the accuracy of their forecasts and their control over the outcome. This manifests itself in excessive trading frequency, overly large individual positions, and the feeling of being able to “read” the market.
In addition, Prospect Theoryexplains why this is no coincidence:
People do not evaluate outcomes in absolute terms, but rather as gains or losses relative to a reference point —and they weigh probabilities in a biased manner. Certain outcomes are overweighted, as are rare extreme events (the big crash, the tenfold gain), while the likely, unspectacular scenarios
are underestimated
.
Overall, in my view, the real disadvantage for the individual investor rarely lies in access to information, but rather in these predictable reaction patterns. And that is the uncomfortable punchline: The strongest adversary in your portfolio is not the market, but your own System 1.
Sources:
Kahneman, D. (2011): Thinking, Fast and Slow
Kahneman, D. & Tversky, A. (1979): Prospect Theory: An Analysis of Decision under Risk
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