Monthly

Best & Worst of the Month

Every fund ranked by its total return for the month: price change from the last close of the previous month to the last close available, with each distribution reinvested on its ex-date. Gross, in the fund's trading currency.

‹ January 2025 › This month

Median fund, January

+3.4%

33 up · 0 down · 33 funds

Best

+9.3%

MLPD · Invesco Morningstar US Energy Infrastructure MLP UCITS ETF Dist ETF

Worst

+0.7%

ASDV · SPDR S&P Pan Asia Dividend Aristocrats UCITS ETF

Priced to

31 Jan

month closed

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All Covered Call Classic Dividend Core Index Fixed Income

#	Fund	Category	Total return, January	Yield TTM
01	MLPD ↗ Invesco Invesco Morningstar US Energy Infrastructure MLP UCITS ETF Dist ETF	Classic Dividend	+9.3%	7.1%
02	IQQA ↗ iShares iShares Euro Dividend UCITS ETF EUR Dist ETF	Classic Dividend	+7.3%	4.6%
03	LDEU ↗ L&G L&G Europe ex-UK Quality Dividends Equal Weight ETF EUR Dis ETF	Classic Dividend	+7.1%	3.4%
04	FEUI ↗ Fidelity Fidelity Europe Quality Income UCITS ETF EUR Inc ETF	Classic Dividend	+6.8%	3.5%
05	HDEU ↗ Invesco Invesco EURO STOXX High Dividend Low Volatility UCITS ETF	Classic Dividend	+6.1%	3.5%
06	SPYG ↗ State Street SPDR SPDR S&P UK Dividend Aristocrats UCITS ETF	Classic Dividend	+5.6%	3.8%

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About the backtests. Portfolio results are hypothetical simulations run on historical data, not records of real trades or of any real account. Among other simplifications, they assume every fund could be bought and sold at its month-end price with no spread, commission or market impact; they show figures before tax unless you set your own tax profile under "Taxes", where you choose your country and can adjust every rate and the commission your broker charges per trade — those figures are an estimate, not a tax calculation; and they convert every amount to euro at the daily exchange rate. The fund universe only contains products that exist today, so funds that closed in the past are missing, which tends to flatter results. Many funds have short histories, so some results cover only a few years of a largely rising market. Rules may be refined over time and each refinement is applied to the full history, so past results can change. Past or simulated performance does not guarantee future results, and every investment can lose value, including the capital invested.

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