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gpt2
Performance
Return for Risk
Dividends
Drawdowns
Volatility
Diversification

Asset Allocation


EGLN.L 20.00%NVDA 22.00%ASML 15.00%MSFT 13.00%PLTR 10.00%MELI 10.00%BRK-B 10.00%CommodityCommodityEquityEquity

S&P 500 Index

Portfolio Optimizer

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Add portfolio to the optimizer to find optimal allocations for your target — whether that's maximizing returns, minimizing drawdowns, or balancing risk across holdings.

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Performance

Performance Chart

The chart shows the growth of an initial investment of €10,000 in gpt2, 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
0.18%2.27%10.18%9.14%21.92%17.11%13.13%13.17%
Portfolio
gpt2
1.33%1.52%7.06%5.37%26.35%42.63%34.81%
ASML
ASML Holding N.V.
6.41%12.26%67.08%58.16%131.24%32.90%23.27%34.42%
BRK-B
Berkshire Hathaway Inc.
0.00%4.92%-0.98%-0.84%-2.19%10.76%12.33%12.89%
EGLN.L
iShares Physical Gold ETC
-0.30%-6.16%2.32%3.98%28.23%27.04%19.18%11.21%
MELI
MercadoLibre, Inc.
0.15%0.90%-18.49%-22.12%-35.85%7.53%5.27%27.96%
MSFT
Microsoft Corporation
0.00%2.90%-11.76%-13.90%-11.70%6.80%12.60%24.49%
NVDA
NVIDIA Corporation
0.00%-2.39%12.27%11.79%43.32%70.39%65.81%67.78%
PLTR
Palantir Technologies Inc.
0.58%1.19%-21.81%-24.13%5.55%103.84%42.92%
*Multi-year figures are annualized to reflect compound growth (CAGR)

Monthly Returns

Based on dividend-adjusted daily data since Sep 30, 2020, gpt2's average daily return is +0.14%, while the average monthly return is +2.90%. At this rate, an investment would double in approximately 2.0 years.

Historically, 64% of months were positive and 36% were negative. The best month was Nov 2020 with a return of +23.0%, while the worst month was Apr 2022 at -11.9%. The longest winning streak lasted 7 consecutive months, and the longest losing streak was 3 months.

On a daily basis, gpt2 closed higher 56% of trading days. The best single day was Apr 9, 2025 with a return of +11.1%, while the worst single day was May 9, 2022 at -7.2%.


JanFebMarAprMayJunJulAugSepOctNovDecTotal
20264.72%-2.61%-3.30%4.06%5.82%-1.41%7.06%
20252.55%2.25%-6.71%3.18%10.18%2.58%5.46%-0.89%9.10%6.06%-4.62%0.39%32.12%
202411.45%14.06%4.97%-3.00%8.88%7.07%-1.90%3.65%1.70%2.60%11.69%1.48%81.47%
202316.52%5.91%9.15%-2.10%22.46%1.53%5.34%-0.52%-3.77%0.04%10.98%-0.38%82.88%
2022-9.66%-0.32%7.64%-11.92%-5.74%-8.22%16.11%-8.62%-6.53%5.83%7.07%-10.27%-25.53%
20217.41%-3.22%3.41%3.85%1.57%10.99%0.70%9.59%-5.16%9.28%4.77%-2.01%47.76%

Benchmark Metrics

gpt2 has an annualized alpha of 17.83%, beta of 1.22, and R2 of 0.62 versus S&P 500 Index. Calculated based on daily prices since September 30, 2020.

  • This portfolio captured 198.24% of S&P 500 Index gains and 106.72% of its losses - amplifying both gains and losses, but participating more in upside than downside.
  • This portfolio generated an annualized alpha of 17.83% versus S&P 500 Index - delivering returns beyond what market exposure alone would predict.

Alpha
17.83%
Beta
1.22
0.62
Upside Capture
198.24%
Downside Capture
106.72%

Expense Ratio

gpt2 has an expense ratio of 0.05%, 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.


Return for Risk

Risk / Return Rank

gpt2 ranks 22 for risk / return — below 22% of Portfolios on our site. The returns aren't fully compensating for the risk involved. This isn't necessarily a dealbreaker, but factor it into your decision — especially if you're risk-averse.


gpt2 Risk / Return Rank: 2222
Overall Rank
gpt2 Sharpe Ratio Rank: 2020
Sharpe Ratio Rank
gpt2 Sortino Ratio Rank: 1919
Sortino Ratio Rank
gpt2 Omega Ratio Rank: 1919
Omega Ratio Rank
gpt2 Calmar Ratio Rank: 3030
Calmar Ratio Rank
gpt2 Martin Ratio Rank: 2424
Martin Ratio Rank
The rank (0–100) shows how this investment's returns compare to the risk taken. Higher = better. Based on the past 12 months of data, combining Sharpe, Sortino, and other metrics used by quantitative funds and institutional investors.

Return / Risk — by metrics

The table below presents risk-adjusted performance metrics for gpt2 and compares them with S&P 500 Index.


PortfolioBenchmarkDifference
Sharpe ratioReturn per unit of total volatility

1.37

1.79

-0.42

Sortino ratioReturn per unit of downside risk

1.90

2.33

-0.43

Omega ratioGain probability vs. loss probability

1.24

1.33

-0.09

Calmar ratioReturn relative to maximum drawdown

2.26

2.91

-0.65

Martin ratioReturn relative to average drawdown

6.84

10.82

-3.99


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

PositionRisk / Return RankSharpe ratioSortino ratioOmega ratioCalmar ratioMartin ratio
ASML
ASML Holding N.V.
953.243.661.458.1320.76
BRK-B
Berkshire Hathaway Inc.
33-0.15-0.100.99-0.20-0.42
EGLN.L
iShares Physical Gold ETC
361.211.641.241.634.17
MELI
MercadoLibre, Inc.
7-0.92-1.160.85-0.89-1.62
MSFT
Microsoft Corporation
25-0.46-0.470.94-0.35-0.71
NVDA
NVIDIA Corporation
751.231.791.222.204.82
PLTR
Palantir Technologies Inc.
450.110.491.060.140.26

Sharpe Ratio

The Sharpe ratio helps investors understand how much return they're getting for the level of risk taken. A higher Sharpe ratio indicates better risk-adjusted performance, meaning more reward for each unit of risk.

gpt2 Sharpe ratios as of Jun 9, 2026 (values are recalculated daily):

  • 1-Year: 1.37
  • 5-Year: 1.34
  • All Time: 1.46

These values reflect how efficiently the investment has delivered returns relative to its volatility over different time periods. All figures are annualized and based on daily total returns (including price changes and dividends).

Compared to the broad market, where average Sharpe ratios range from 1.59 to 2.46, this portfolio's current Sharpe ratio places it in the bottom 25%. This suggests weaker risk-adjusted returns than most portfolios, possibly due to lower returns, higher volatility, or both. It may be worth reviewing the allocation. You can use the Portfolio Optimization tool to explore options for improving the Sharpe ratio.

The chart below shows the rolling Sharpe ratio of gpt2 compared to the selected benchmark. This view highlights how the investment's risk-adjusted performance has changed over time.


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Dividends

Dividend yield

gpt2 provided a 0.22% dividend yield over the last twelve months.


PositionTTM20252024202320222021202020192018201720162015
Portfolio0.22%0.24%0.25%0.23%0.35%0.18%0.22%0.43%0.46%0.42%0.58%0.71%
ASML
ASML Holding N.V.
0.50%0.97%0.97%0.86%1.27%0.50%0.50%1.40%0.94%0.64%0.92%0.73%
BRK-B
Berkshire Hathaway Inc.
0.00%0.00%0.00%0.00%0.00%0.00%0.00%0.00%0.00%0.00%0.00%0.00%
EGLN.L
iShares Physical Gold ETC
0.00%0.00%0.00%0.00%0.00%0.00%0.00%0.00%0.00%0.00%0.00%0.00%
MELI
MercadoLibre, Inc.
0.00%0.00%0.00%0.00%0.00%0.00%0.00%0.00%0.00%0.19%0.38%0.36%
MSFT
Microsoft Corporation
0.86%0.70%0.73%0.74%1.06%0.68%0.94%1.20%1.69%1.86%2.37%2.33%
NVDA
NVIDIA Corporation
0.14%0.02%0.03%0.03%0.11%0.05%0.12%0.27%0.46%0.29%0.45%1.20%
PLTR
Palantir Technologies Inc.
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 gpt2. 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 gpt2 was 34.36%, occurring on Oct 14, 2022. Recovery took 151 trading sessions.

The current gpt2 drawdown is 3.56%.


Related event

Drawdown

Fall

Recovery

Underwater

Bear market2022
-34.36%Oct 2022
10mo 26d7mo 6d
1y 5moNov 2021 - May 2023
2025 selloff2025
-20.98%Apr 2025
1mo 14d1mo 12d
2mo 26dFeb 2025 - May 2025
2021 correction2021
-14.25%Mar 2021
24d1mo 8d
2mo 2dFeb 2021 - Apr 2021
2024 correction2024
-13.57%Aug 2024
25d2mo
2mo 25dJul 2024 - Oct 2024
2026 correction2026
-11.41%Mar 2026
2mo1mo 15d
3mo 15dJan 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 7 assets, with an effective number of assets of 6.34, reflecting the diversification based on asset allocation. Your capital is spread almost evenly across your holdings, indicating a well-balanced allocation. Note that true diversification also depends on the correlations between assets — check the diversification ratio below.


Diversification Ratio
1Y
3Y
5Y
All Time
Diversification Ratio

1.73

1.56

1.45

1.46

The portfolio has a diversification ratio of 1.46, in line with the typical range across portfolios. There's room to improve by adding less correlated assets.

gpt2 correlation to the S&P 500 Index

gpt2 has a 0.72 correlation to S&P 500 Index over the trailing 12 months. This section compares each holding's correlation to the benchmark and to the portfolio.

Correlation
Correlation (1Y)
Calculated over the trailing 1-year period

0.72

Correlation (3Y)
Calculated over the trailing 3-year period

0.77

Correlation (5Y)
Calculated over the trailing 5-year period

0.78

Correlation (All Time)
Calculated using the full available price history since Sep 30, 2020

0.76


Benchmark Correlations

Correlation vs. S&P 500 Index. MSFT has the highest benchmark correlation at 0.73, while EGLN.L has the lowest at 0.02.

EGLN.L
0.02
PLTR
0.50
MELI
0.52
BRK-B
0.54
ASML
0.61
NVDA
0.65
MSFT
0.73

Portfolio Correlations

Correlation vs. gpt2. NVDA has the highest portfolio correlation at 0.86, while EGLN.L has the lowest at 0.10.

EGLN.L
0.10
BRK-B
0.24
MELI
0.63
PLTR
0.69
MSFT
0.69
ASML
0.74
NVDA
0.86

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 30, 2020
Diversification Analysis

Find what gpt2 is missing

See which holdings overlap, where gpt2 is concentrated, and which low-correlation assets could fill the gaps.

Analyze Diversification