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number1
Performance
Return for Risk
Dividends
Drawdowns
Volatility
Diversification

Asset Allocation


S&P 500 Index

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Performance

Performance Chart

The chart shows the growth of an initial investment of €10,000 in number1, comparing it to the performance of the S&P 500 index or another benchmark. All prices have been adjusted for splits and dividends. The portfolio is rebalanced Every 3 months.


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Returns By Period


Position1D1MYTD6M1Y3Y*5Y*10Y*
Benchmark
S&P 500 Index
1.43%2.26%11.81%12.35%25.92%17.35%13.09%13.50%
Portfolio
number1
1.74%3.10%18.02%20.60%
4GLD.DE
Xetra-Gold
2.95%-4.05%0.25%2.33%26.79%27.91%19.59%12.59%
BTC-USD
Bitcoin
0.85%-16.01%-23.33%-22.33%-37.65%33.37%12.30%56.04%
EL4A.DE
Deka DAX UCITS ETF
1.07%3.92%1.14%2.62%5.35%14.41%9.04%9.42%
IS3N.DE
iShares Core MSCI Emerging Markets IMI UCITS ETF (Acc)
2.55%6.99%28.06%30.89%48.73%19.82%9.09%10.44%
JEDI
Defiance Drone & Modern Warfare ETF
0.25%3.60%33.29%37.10%
SEC0.DE
iShares MSCI Global Semiconductors UCITS ETF USD (Acc)
-2.85%14.72%98.10%104.58%185.19%56.37%
VGEK.DE
Vanguard FTSE Developed Asia Pacific ex Japan UCITS ETF (USD) Accumulating
2.51%9.47%52.92%59.20%82.62%25.05%13.25%
VUAA.DE
Vanguard S&P 500 UCITS USD Acc ETF
1.42%2.00%11.52%12.86%26.67%18.58%14.61%
VWCE.DE
Vanguard FTSE All-World UCITS ETF
1.32%3.24%13.19%14.70%28.01%17.53%12.15%
WREE.L
WisdomTree Strategic Metals and Rare Earths Miners UCITS ETF USD Acc
0.00%-4.44%15.91%25.26%100.19%
*Multi-year figures are annualized to reflect compound growth (CAGR)

Monthly Returns

Based on dividend-adjusted daily data since Sep 26, 2025, number1's average daily return is +0.09%, while the average monthly return is +2.34%. At this rate, an investment would double in approximately 2.5 years.

Historically, 70% of months were positive and 30% were negative. The best month was Apr 2026 with a return of +10.7%, while the worst month was Mar 2026 at -6.5%. The longest winning streak lasted 3 consecutive months, and the longest losing streak was 1 months.

On a daily basis, number1 closed higher 49% of trading days. The best single day was Apr 8, 2026 with a return of +2.9%, while the worst single day was Jun 5, 2026 at -2.9%.


JanFebMarAprMayJunJulAugSepOctNovDecTotal
20263.91%1.45%-6.48%10.66%9.82%-1.49%18.02%
20250.83%5.11%-1.61%1.20%5.52%

Benchmark Metrics

number1 has an annualized alpha of 14.60%, beta of 0.88, and R2 of 0.53 versus S&P 500 Index. Calculated based on daily prices since September 26, 2025.

  • This portfolio captured 154.55% of S&P 500 Index gains and 105.12% of its losses - amplifying both gains and losses, but participating more in upside than downside.
  • This portfolio generated an annualized alpha of 14.60% versus S&P 500 Index - delivering returns beyond what market exposure alone would predict.
  • With beta of 0.88 and R2 of 0.53, this portfolio moves broadly in line with S&P 500 Index - much of its variation is explained by market exposure rather than independent behavior.

Alpha
14.60%
Beta
0.88
0.53
Upside Capture
154.55%
Downside Capture
105.12%

Expense Ratio

number1 has an expense ratio of 0.18%, which is considered low. Below, you can find the expense ratios of the portfolio's funds side by side and easily compare their relative costs.


4GLD.DE
Xetra-Gold

Return for Risk

Return / Risk — by metrics

The table below presents risk-adjusted performance metrics for number1 and compares them with S&P 500 Index.

Values are calculated on a 1-year rolling basis and updated daily. Risk-adjusted metrics are more stable over longer periods — use the period switch above to explore them.


PortfolioBenchmarkDifference
Sharpe ratioReturn per unit of total volatility

2.08

Sortino ratioReturn per unit of downside risk

2.68

Omega ratioGain probability vs. loss probability

1.38

Calmar ratioReturn relative to maximum drawdown

3.44

Martin ratioReturn relative to average drawdown

12.76


How much return does each position deliver for the risk it carries? Higher values mean better reward for the risk taken.

Sharpe Ratio

There isn't enough data available to calculate the Sharpe ratio for number1. This metric is based on the past 12 months of trading data. Please check back later for updated information.


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Dividends

Dividend yield

number1 provided a 0.05% dividend yield over the last twelve months.


PositionTTM20252024202320222021202020192018201720162015
Portfolio0.05%0.06%0.09%0.00%0.00%0.00%0.33%0.00%0.03%0.03%0.03%0.03%
4GLD.DE
Xetra-Gold
0.00%0.00%0.00%0.00%0.00%0.00%0.00%0.00%0.00%0.00%0.00%0.00%
BTC-USD
Bitcoin
0.00%0.00%0.00%0.00%0.00%0.00%0.00%0.00%0.00%0.00%0.00%0.00%
EL4A.DE
Deka DAX UCITS ETF
0.00%0.00%0.00%0.00%0.00%0.00%0.00%0.00%0.65%0.56%0.65%0.60%
IS3N.DE
iShares Core MSCI Emerging Markets IMI UCITS ETF (Acc)
0.00%0.00%0.00%0.00%0.00%0.00%0.00%0.00%0.00%0.00%0.00%0.00%
JEDI
Defiance Drone & Modern Warfare ETF
0.00%0.00%0.00%0.00%0.00%0.00%0.00%0.00%0.00%0.00%0.00%0.00%
SEC0.DE
iShares MSCI Global Semiconductors UCITS ETF USD (Acc)
0.00%0.00%0.00%0.00%0.00%0.00%0.00%0.00%0.00%0.00%0.00%0.00%
VGEK.DE
Vanguard FTSE Developed Asia Pacific ex Japan UCITS ETF (USD) Accumulating
0.00%0.00%0.00%0.00%0.00%0.00%0.00%0.00%0.00%0.00%0.00%0.00%
VUAA.DE
Vanguard S&P 500 UCITS USD Acc ETF
0.00%0.00%0.27%0.00%0.00%0.00%1.09%0.00%0.00%0.00%0.00%0.00%
VWCE.DE
Vanguard FTSE All-World UCITS ETF
0.00%0.00%0.00%0.00%0.00%0.00%0.00%0.00%0.00%0.00%0.00%0.00%
WREE.L
WisdomTree Strategic Metals and Rare Earths Miners UCITS ETF USD Acc
0.00%0.00%0.00%0.00%0.00%0.00%0.00%0.00%0.00%0.00%0.00%0.00%

Drawdowns

Drawdowns Chart

The Drawdowns chart displays portfolio losses from any high point along the way. Drawdowns are calculated considering price movements and all distributions paid, if any.


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Worst Drawdowns

The table below displays the maximum drawdowns of the number1. A maximum drawdown is a measure of risk, indicating the largest reduction in portfolio value due to a series of losing trades.

The maximum drawdown for the number1 was 7.96%, occurring on Mar 29, 2026. Recovery took 17 trading sessions.

The current number1 drawdown is 4.41%.


Related event

Drawdown

Fall

Recovery

Underwater

2026 pullback2026
-7.96%Mar 2026
1mo 1d17d
1mo 18dFeb 2026 - Apr 2026
2026 pullback2026
-6.75%Jun 2026
7d
13d 8hJun 2026 - now
2025 pullback2025
-5.90%Nov 2025
25d1mo 15d
2mo 10dOct 2025 - Jan 2026
2026 pullback2026
-4.62%Feb 2026
7d20d
27dJan 2026 - Feb 2026
2026 pullback2026
-3.17%May 2026
4d6d
10dMay 2026 - May 2026

Volatility

Volatility Chart

The chart below shows the rolling one-month volatility.


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Diversification

Diversification Metrics


Number of Effective Assets

The portfolio contains 11 assets, with an effective number of assets of 6.51, reflecting the diversification based on asset allocation. Your allocation shows noticeable concentration: a few holdings carry significantly more weight than the rest. Rebalancing toward more even weights — or adding less correlated assets — could reduce risk.


Diversification Ratio
All Time
Diversification Ratio

1.45

The portfolio has a diversification ratio of 1.45, in line with the typical range across portfolios. There's room to improve by adding less correlated assets.

number1 correlation to the S&P 500 Index

number1 has a 0.74 correlation to S&P 500 Index over the full available history. This section compares each holding's correlation to the benchmark and to the portfolio.

Correlation
Correlation (All Time)
Calculated using the full available price history since Sep 26, 2025

0.74


Benchmark Correlations

Correlation vs. S&P 500 Index. XAIX has the highest benchmark correlation at 0.84, while 4GLD.DE has the lowest at 0.28.

Portfolio Correlations

Correlation vs. number1. IS3N.DE has the highest portfolio correlation at 0.81, while BTC-USD has the lowest at 0.49.

Asset Correlations Table

The table below displays the correlation coefficients between the individual components of the portfolio, the entire portfolio, and the chosen benchmark.

The correlation results are calculated based on daily price changes starting from Sep 26, 2025
Diversification Analysis

Find what number1 is missing

See which holdings overlap, where number1 is concentrated, and which low-correlation assets could fill the gaps.

Analyze Diversification