1Wk·

June Update on Momentum Strategies: New All-Time High and +27.92% Monthly Performance 🚀

Hello everyone,

June was an exceptionally strong month for the momentum strategy. Both models posted significant gains, driving the overall strategy to a new all-time high.


📊 The hard facts:


  • Starting capital in June: €47,732.0
  • Ending capital in June: €61,156.93
  • Absolute gain: +€12,908.33
  • Performance in June: +27.92%
  • YTD performance: +141.14%
  • CAGR over the last 365 days: +285.89%
  • CAGR since inception (10/2023): +111.13%


With a portfolio value of over €61,000 , the original target of €50,000 was achieved well ahead of schedule.


📈 Performance of Individual Strategies


US Momentum Leaders (Wikifolio)

  • Monthly performance: +21.97%
  • Capital gain: +6,731.14 €
  • Portfolio allocation: 61.11%

https://www.wikifolio.com/de/de/w/wf19021902


$DE000LS9VVV3 (+6.14%)


🌍 Global 1200 Momentum Leaders

  • Monthly performance: +38.13%
  • Capital gain: +6,177.19 €
  • Portfolio allocation: 38.89%

https://www.wikifolio.com/de/de/w/wf19021982


Both models contributed almost equally to the overall performance in June.


Particularly encouraging is the continued strength of the Global-1200 model, which, following its strong start in May, also delivered solid results in June.


🔄 Allocation/Rebalancing for July

There are no changes in either model for July. The current allocation remains unchanged:


US Momentum Leaders

✅ SanDisk (SNDK)

✅ Micron Technology (MU)


Global 1200 Momentum Leaders

✅ SanDisk (SNDK)

✅ Kioxia Holdings


However, the stock pool for both models was recalculated at the mid-year mark.


Top 10 – US Momentum Leaders

SanDisk Corp

Micron Technology

Western Digital

Seagate Technology

Intel

Lumentum Holdings

Marvell Technology

Dell Technologies

Strategy (MSTR)

Exxon Mobil


Top 10 – Global 1200 Momentum Leaders

SanDisk

Kioxia Holdings

Microchip Technology

Western Digital

SK Square

SK Hynix

Intel

Seagate Technology

Lumentum

Ibiden


What stands out is the strong dominance of companies in the sectors of data storage, semiconductors, and AI infrastructure. Furthermore, the rankings of both models overlap significantly, even though the Global 1200 model searches globally and the Wikifolio focuses exclusively on the U.S. market. This currently points to exceptional strength across the entire storage and data infrastructure sector.


Conclusion

June saw a monthly return of +27.92% one of the strongest months since the strategy’s launch. Both models once again delivered strong contributions and confirmed the advantages of the two-pronged approach.


With a YTD performance of +141%, a 365-day CAGR of +285% and a portfolio value of over €61,000 , the momentum strategy remains on a growth trajectory.

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17 Comments

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Great! But you know how little value snapshots have when it comes to long-term strategies. So: don't let the euphoria sweep you away!

And don't tell your wife—otherwise, you can kiss the compound interest effect goodbye! 😅
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@Epi It's all undercover—she wouldn't believe me anyway and would think I robbed a bank
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Always keep quiet—that way, you won't get spanked when things go south 😂
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@TradingHase My life motto! 😅
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Great. Why don't you still include links to the Wikifolios in the article?
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@Keineui Thanks, I've added it.
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@Krush82 and the ticker for getquin, too :)
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@Krush82 Am I correct in thinking that Global is not yet open for investment?
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@Keineui That's correct; it's still in the issuance phase.
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How did $MSTR make the cut? 😱
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@AxoWallStreet MSTR and XOM are firmly established as crypto/oil assets—but I know full well that they’re currently as far from that as the Earth is from the Moon.
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@Krush82 missing something, $MSTR lost 44% in One month. You are considering also negative vola?
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Very impressive! 👍🏻
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Great numbers—congratulations. I'd be interested to see how the strategy performs if there's a prolonged, sharp market correction.
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Global 1200 Momentum Leaders...
Why didn't they just make it global from the start, anyway...?

If that happens, I can see myself selling the US and doubling the weighting of the Global index instead. 😘
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@TotallyLost To be completely honest, the lack of a backtest for this :-) Of course, I’ve also had the idea of eventually investing only in one of them. It depends on how strong the actual correlation between the two models is. This will be analyzed in live trading to determine the optimal allocation between the two strategies. I think that running both models in parallel is probably the best compromise until then.
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