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XMUS
+5.76 · +3.93%
£152.29 · LSE
Xtrackers MSCI USA Swap UCITS ETF 1C | US Large-Cap Blend Equity
DWS Investment S.A. (ETF) · Luxembourg
AUM:£4.1B
#– of – in US Large-Cap Blend Equity ETFs
ℹ️
Reward Rating
67
Good
17.69% 1Y return
ℹ️
Risk Rating
48
Moderate
Risk Assessment
ℹ️

Educational tool only – Scores are based on historical data, holdings and expense metrics for informational purposes. This is not financial advice or a recommendation to buy or sell any security. Always conduct your own research or consult a qualified financial adviser.

Market Performance

📈 Up 17.7% over the past year, showing positive momentum.

Cost Efficiency

💰 Ongoing charge of 0.15% — among the lowest available for this category.

What is XMUS?

Xtrackers MSCI USA Swap UCITS ETF 1C tracks Morningstar US Large-Mid NR USD, providing diversified exposure across 43 holdings. Its ongoing charge is 0.15%.

Performance Highlights

Investment Breakdown

Strong Recent Performance
XMUS delivered 17.7% over the past year. Historical returns only — past performance is not indicative of future results.
Competitive Ongoing Charge
Ongoing charge of 0.15% — reasonable for the index exposure provided.
Moderate Concentration
Top 10 holdings make up 37.9% of the ETF — a moderate level of name concentration.

Openbook Analysis

Performance: Good (67)

The scoring profile reflects moderate historical performance, with a 17.7% 1-year return (historical). The ongoing charge of 0.15% is reasonable for this exposure. Risk indicators are moderate, in line with typical market exposure (historical).

For informational and educational purposes only. Not financial advice. Past performance is not indicative of future results.

ETF Information
AUM£4.1B
Ongoing Charge0.15%
Dividend Yield1.79%
Holdings43
Inception DateJan 2007
DomicileLuxembourg
DistributionNA
IndexMorningstar US Large-Mid NR USD
ProviderDWS Investment S.A. (ETF)
Beta–
CategoryUS Large-Cap Blend Equity
CurrencyGBX
Portfolio Impact

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6168
+7 points · better diversified
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Uses ISF.L (iShares FTSE 100 ETF)
Indicators

Performance Metrics

Historical returns

6M
+9.2%
1Y
+29.1%
3Y
+72.3%
5Y
+98.1%
OpenBook InsightIf you had invested £10,000 in XMUS 5 years ago, it would have grown to £19,814 — a gain of £9,814.

Annual Returns

Calendar year performance

XMUS delivered positive returns in 4 of the last 5 calendar years.
YearXMUS
2026 YTD+11.1%
2025+8.4%
2024+27.6%
2023+20.5%
2022-10.2%
CAGR 4yr+10.6%
4/5 positive yearsAvg return: +11.5%Worst year: -10.2% (2022)

Technical Analysis Summary

Automated insights from historical price action and indicators

Technical Regime: POSITIVE
Trend Strength
100%
Positive
Volatility
8.7%
Low
Momentum
+8.4%
30-day change
Support Level
157.78
Key floor
Key Insights
  • Price is currently trading above all key moving averages.
  • Low volatility environment with a narrower recent trading range.
  • Monitor key support and resistance levels as part of broader risk assessment.

Reward Rating Breakdown

Our reward rating analyses XMUS's attractiveness using 4 weighted factors. Each factor is scored 0-100, then combined using the weights shown below. Past performance does not guarantee future results.

Overall Reward Rating
67
Good REWARD
Data Coverage: %
Factor Framework
Performance
Has the ETF delivered strong historical returns versus similar ETFs?
Cost Efficiency
Is the ETF cheap to own over long periods?
Income
Does it provide attractive and consistent distributions?
Diversification Quality
Does it spread exposure across holdings, sectors, and regions?

📈 Performance

Weight: 30%
84/100

Has the ETF delivered strong historical returns versus similar ETFs? Combines 1/3/5/10-year returns with the Sharpe ratio (risk-adjusted return).

1Y Return
17.69%
Good
3Y Return
21.34%
Very Good
5Y Return
13.18%
Very Good
10Y Return
15.19%
Very Good
Sharpe Ratio
—
No Data

Strong historical performance profile: 1-year return of 17.69%, 3-year annualised 21.34%, 5-year annualised 13.18%. Past performance is not indicative of future results.

💰 Cost Efficiency

Weight: 30%
85/100

Is the ETF cheap to own over long periods? Low ongoing charges compound into meaningful additional returns over a 10-year horizon.

Ongoing Charge
0.15%
Good
Net Expense Ratio
0.00%
Very Good
Annual Turnover
-0.78%
Very Good
Tracking Difference
—
No Data

Low-cost and efficient structure: ongoing charge of 0.15%, net expense ratio of 0.00%, annual turnover of -0.8%.

💵 Income

Weight: 15%
50/100

Does the ETF provide attractive and consistent distributions? Combines the current yield with distribution frequency.

Distribution Yield
1.79%
Weak
Distribution Frequency
NA
No Data

Modest income profile: distribution yield of 1.79%, na distributions.

🌐 Diversification Quality

Weight: 25%
36/100

Does the ETF spread exposure across many holdings, sectors, and regions? Concentrated funds can be doing exactly what they're meant to do — treat the score as context, not a verdict.

Holdings
43
Very Weak
Top 10 Concentration
37.88%
Neutral
Top Sector
Technology33.9%
Weak
Top Region
North America99.2%
Very Weak

Heavily concentrated — returns will be driven by a narrow slice of the market: 43 holdings, top 10 at 37.9%, Technology sector at 33.9%, North America at 99.2%.

Scores are derived from fund-provider disclosures and historical data. For informational and educational purposes only — not investment advice. Past performance is not indicative of future results.

Risk Rating Breakdown

Our risk rating analyses XMUS using 4 weighted factors. A higher score indicates higher risk. This is a framework for understanding exposure — concentrated funds can still be doing exactly what they're meant to do.

Overall Risk Rating
48
Moderate RISK
Data Coverage: 83%
Factor Framework
Holdings Concentration
How much of the fund sits in its largest positions? Few dominant names mean returns ride on those companies.
Market Exposure
Geographic, sector and cyclical dependencies. High single-country or single-sector weight increases macro sensitivity.
Volatility
Historical price movement, beta and drawdowns — how sharply the fund moves relative to the market.
Income Reliability
How dependable the distribution yield is — cyclical-sector dependency and unusually high yields can flag payout risk.

🎯 Holdings Concentration

Weight: 25%
52/100

How much of the fund sits in a small number of positions? If the top holdings dominate, returns will be driven by those specific companies rather than the broader index.

Top 10 Weight
37.88%
Lower Risk
Largest Holding
8.89%
Moderate
Number of Holdings
43
Elevated
HHI (weight²)
190
Low Risk

Moderate holdings concentration: top 10 holdings at 37.9%, largest single position at 8.89%, 43 total holdings.

🌍 Market Exposure

Weight: 25%
67/100

How dependent is the fund on a single country, sector or economic cycle? Heavy exposure to one market means a single macro event can drive most of the return.

Top Region
North America99.2%
High Risk
Top Sector
Technology33.9%
Elevated
Top 2 Sectors
46.40%
Moderate
Cyclical Sectors
27.57%
Lower Risk

Notable regional or sector dependency: North America at 99.2%, Technology sector at 33.9%, 27.6% in cyclical sectors.

📊 Volatility

Weight: 35%
35/100

How sharply does the fund move day-to-day and how deep have its drawdowns been? High volatility means wider return outcomes over short horizons.

1Y Volatility
10.97%
Lower Risk
Beta
—
No Data
Max Drawdown
—
No Data

Moderate volatility in line with broad market: 1Y volatility of 10.97% (historical).

💵 Income Reliability

Weight: 15%
42/100

How dependable is the fund's distribution yield? Heavy cyclical-sector exposure or unusually high yields can flag vulnerability to dividend cuts in a downturn.

Current Yield
1.79%
Lower Risk
Cyclical Sector Exposure
27.57%
Lower Risk
Top-Sector Dependency
Technology33.9%
Elevated

Income profile is reasonably diversified: yield of 1.79%, 27.6% in cyclical sectors (financials, energy, materials, industrials, real estate), Technology sector at 33.9%.

Scores are derived from fund-provider disclosures and historical data. For informational and educational purposes only — not investment advice. Risk scoring is model-based and past data does not guarantee future results.
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