Suggest a version of my portfolio with fewer overlapping holdings

You asked for a version of your portfolio with fewer overlapping holdings. I can show a simplified, non-overlapping allocation built from broad building blocks and the assumptions used, but I must only explain numbers and not give purchase advice. Below I present one alternative portfolio layout that reduces overlap by concentrating on broad ETFs and a small selection of individual positions. The table shows the proposed holdings, their target share of portfolio value, and which current exposures they replace.

Asset	Target weight (%)	Replaces / reduces overlap with
iShares Core MSCI World UCITS ETF	50,00	Reduces overlap among global equity ETFs and many US large-cap holdings
iShares Core MSCI EM IMI UCITS ETF USD (Acc)	15,00	Keeps emerging market exposure separate from World ETF overlap
Xtrackers MSCI USA UCITS ETF 1C	10,00	Replaces smaller US ETFs that share the same large-cap holdings
Apple Inc.	8,00	Retains concentrated exposure to a top company outside ETF overlap
Microsoft Corp.	7,00	Retains concentrated exposure to a top company outside ETF overlap
Euros	6,06%	Keeps existing cash allocation unchanged
Crypto	3,00	Consolidates crypto exposure versus multiple small crypto holdings
Precious metal	0,94	Keeps a smaller gold exposure with rounded weight to sum to 100%

What this layout does (assumptions and notes)

• Assumes the portfolio value used is today's total value and weights sum to 100%; cash stays at 6,06% and is reported as-is.
• The proposed weights are rounded to two decimals and chosen to prioritise broad ETFs to lower company overlap between funds (for example the large shared holdings between the World ETF and the USA ETF).
• "Replaces / reduces overlap with" describes which parts of your current exposures would be concentrated into each line (based on your overlap data showing large shared company counts and a combined shared value of 6.104,49 € between the big ETFs).
• The crypto and precious metal lines are consolidated into single class entries rather than multiple small lines.
• This is a single illustrative version derived from your current exposures and the scenario assumptions found in your saved simulations (the simulation assumptions in your data were: allocation split 50% World ETF, 15% EM ETF, 10% USA ETF, 8% Apple, 7% Microsoft, 10% Deutsche EuroShop AG; I used the first five of those plus cash/crypto/gold here).

If you'd like, I can:

• produce a version that maintains exact cash amount 5.510,23 € and scales other weights to match;
• show how this version would change the top company overlaps and the combined shared-value metric; or
• run a what‑if that maps your current cashflows into this new allocation using your transaction history assumptions.