CG1
-5.18 · -1.39%
£367.52 · LSE
Amundi ETF DAX UCITS ETF DR | Germany Equity
Amundi Asset Management · France
AUM:£1.4B
#– of – in Germany Equity ETFs
ℹ️
Reward Rating
66
Good
7.30% 1Y return
ℹ️
Risk Rating
66
Elevated
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 7.3% over the past year, showing positive momentum.

Cost Efficiency

💰 Ongoing charge of 0.10% — among the lowest available for this category.

What is CG1?

Amundi ETF DAX UCITS ETF DR tracks Morningstar Germany TME NR EUR, providing diversified exposure across 40 holdings. Its ongoing charge is 0.10%.

Performance Highlights

Investment Breakdown

Positive 1-Year Return
CG1 returned 7.3% over the past year. Historical returns only — past performance is not indicative of future results.
Ultra-Low Ongoing Charge
Ongoing charge of 0.10% — among the lowest available. Low costs compound favourably over long holding periods.
Concentrated Holdings
Top 10 holdings account for 63.9% of the ETF — significant weight in a small number of names.

Openbook Analysis

Performance: Good (66)

The scoring profile reflects moderate historical performance, with a 7.3% 1-year return (historical). The ongoing charge of 0.10% is very competitive. Risk indicators are elevated — volatility warrants consideration (historical).

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

ETF Information
AUM£1.4B
Ongoing Charge0.10%
Dividend Yield4.67%
Holdings40
Inception DateSept 2008
DomicileFrance
Distribution
IndexMorningstar Germany TME NR EUR
ProviderAmundi Asset Management
Beta
CategoryGermany Equity
CurrencyGBX
Portfolio Impact

How would CG1 affect your portfolio?

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Example preview
6168
+7 points · better diversified
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Chart Tools

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Uses ISF.L (iShares FTSE 100 ETF)
Indicators

Performance Metrics

Historical returns

6M
+3.9%
1Y
+7.5%
3Y
+56.2%
5Y
+59.1%
OpenBook InsightIf you had invested £10,000 in CG1 5 years ago, it would have grown to £15,907 — a gain of £5,907.

Annual Returns

Calendar year performance

CG1 delivered positive returns in 4 of the last 5 calendar years.
YearCG1
2026 YTD+1.6%
2025+28.3%
2024+13.2%
2023+15.7%
2022-8.6%
CAGR 4yr+11.3%
4/5 positive yearsAvg return: +10.0%Worst year: -8.6% (2022)

Technical Analysis Summary

Automated insights from historical price action and indicators

Technical Regime: POSITIVE
Trend Strength
100%
Positive
Volatility
15.8%
Low
Momentum
+3.3%
30-day change
Support Level
368.18
Key floor
Key Insights
  • Price is currently trading above all key moving averages.
  • Monitor key support and resistance levels as part of broader risk assessment.

Reward Rating Breakdown

Our reward rating analyses CG1'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
66
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%
65/100

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
7.30%
Neutral
3Y Return
14.18%
Very Good
5Y Return
8.88%
Good
10Y Return
8.29%
Good
Sharpe Ratio
No Data

Solid historical performance: 1-year return of 7.30%, 3-year annualised 14.18%, 5-year annualised 8.88%. Past performance is not indicative of future results.

💰 Cost Efficiency

Weight: 30%
90/100

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

Ongoing Charge
0.10%
Very Good
Net Expense Ratio
0.00%
Very Good
Annual Turnover
0.00%
Very Good
Tracking Difference
No Data

Low-cost and efficient structure: ongoing charge of 0.10%, net expense ratio of 0.00%, annual turnover of 0.0%.

💵 Income

Weight: 15%
80/100

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

Distribution Yield
4.67%
Very Good
Distribution Frequency
No Data

Attractive income profile: distribution yield of 4.67%.

🌐 Diversification Quality

Weight: 25%
31/100

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
40
Very Weak
Top 10 Concentration
63.89%
Very Weak
Top Sector
Industrials34.3%
Weak
Top Region
Europe Developed99.6%
Very Weak

Heavily concentrated — returns will be driven by a narrow slice of the market: 40 holdings, top 10 at 63.9%, Industrials sector at 34.3%, Europe Developed at 99.6%.

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 CG1 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
66
Elevated 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%
59/100

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
63.89%
Elevated
Largest Holding
10.64%
Elevated
Number of Holdings
40
Elevated
HHI (weight²)
472
Lower Risk

Moderate holdings concentration: top 10 holdings at 63.9%, largest single position at 10.64%, 40 total holdings.

🌍 Market Exposure

Weight: 25%
86/100

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
Europe Developed99.6%
High Risk
Top Sector
Industrials34.3%
Elevated
Top 2 Sectors
55.84%
Elevated
Cyclical Sectors
62.12%
High Risk

High market-exposure risk — returns closely track a narrow slice of the market: Europe Developed at 99.6%, Industrials sector at 34.3%, 62.1% in cyclical sectors.

📊 Volatility

Weight: 35%
55/100

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
13.46%
Lower Risk
Beta
No Data
Max Drawdown
No Data

Elevated volatility profile: 1Y volatility of 13.46% (historical).

💵 Income Reliability

Weight: 15%
72/100

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
4.67%
Moderate
Cyclical Sector Exposure
62.12%
High Risk
Top-Sector Dependency
Industrials34.3%
Elevated

Distributions appear cyclically sensitive — yield may be vulnerable to cuts in a downturn: yield of 4.67%, 62.1% in cyclical sectors (financials, energy, materials, industrials, real estate), Industrials sector at 34.3%.

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.