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gpt1
Performance
Return for Risk
Dividends
Drawdowns
Volatility
Diversification

Asset Allocation


EGLN.L 20.00%NVDA 22.00%000660.KS 15.00%ASML 10.00%PLTR 10.00%MSFT 8.00%BRK-B 8.00%MELI 7.00%CommodityCommodityEquityEquity

S&P 500 Index

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Performance

Performance Chart

The chart shows the growth of an initial investment of $10,000 in gpt1, 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
0.30%0.09%8.18%8.17%23.42%19.88%11.91%13.45%
Portfolio
gpt1
0.00%1.29%26.03%29.73%80.14%66.03%42.65%
000660.KS
SK Hynix Inc
0.00%9.94%180.72%223.75%667.98%143.83%64.62%50.13%
ASML
ASML Holding N.V.
6.54%9.86%64.06%56.76%134.10%36.05%21.93%34.75%
BRK-B
Berkshire Hathaway Inc.
-0.23%2.32%-3.11%-2.06%-1.32%13.25%11.03%13.14%
EGLN.L
iShares Physical Gold ETC
-0.22%-8.17%0.45%3.04%29.80%30.05%17.89%11.49%
MELI
MercadoLibre, Inc.
0.26%-1.26%-19.97%-22.81%-35.06%10.08%4.13%28.28%
MSFT
Microsoft Corporation
-1.18%-0.60%-14.48%-15.77%-11.77%8.85%11.09%24.64%
NVDA
NVIDIA Corporation
1.73%-2.94%12.01%12.58%47.43%75.35%64.54%68.47%
PLTR
Palantir Technologies Inc.
0.69%-0.97%-23.22%-24.81%6.85%108.67%41.37%
*Multi-year figures are annualized to reflect compound growth (CAGR)

Monthly Returns

Based on dividend-adjusted daily data since Sep 30, 2020, gpt1's average daily return is +0.16%, while the average monthly return is +3.48%. At this rate, an investment would double in approximately 1.7 years.

Historically, 69% of months were positive and 31% were negative. The best month was Nov 2020 with a return of +27.2%, while the worst month was Apr 2022 at -15.4%. The longest winning streak lasted 7 consecutive months, and the longest losing streak was 3 months.

On a daily basis, gpt1 closed higher 55% of trading days. The best single day was Apr 9, 2025 with a return of +9.5%, while the worst single day was Jun 5, 2026 at -6.1%.


JanFebMarAprMayJunJulAugSepOctNovDecTotal
202610.22%1.31%-9.59%13.12%18.95%-7.23%26.03%
20254.23%1.54%-1.94%6.66%11.53%12.01%1.39%1.05%12.07%12.83%-5.32%6.78%81.08%
20246.59%15.66%6.84%-4.14%10.53%9.03%-2.90%4.01%2.93%1.91%5.91%0.19%71.06%
202318.93%2.41%10.56%-0.77%21.32%4.42%7.64%-2.52%-6.33%-0.02%14.88%1.63%94.19%
2022-10.68%0.26%4.74%-15.35%-3.87%-11.28%11.72%-10.06%-10.14%5.66%12.41%-7.82%-33.05%
20215.90%-1.85%-1.03%5.14%3.21%7.12%-2.13%7.08%-6.54%8.11%4.88%0.15%33.00%

Benchmark Metrics

gpt1 has an annualized alpha of 25.69%, beta of 1.17, and R2 of 0.57 versus S&P 500 Index. Calculated based on daily prices since September 30, 2020.

  • This portfolio captured 201.99% of S&P 500 Index gains but only 87.73% of its losses - a favorable profile for investors.
  • This portfolio generated an annualized alpha of 25.69% versus S&P 500 Index - delivering returns beyond what market exposure alone would predict.

Alpha
25.69%
Beta
1.17
0.57
Upside Capture
201.99%
Downside Capture
87.73%

Expense Ratio

gpt1 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

gpt1 ranks 79 for risk / return — better than 79% of Portfolios on our site. You're getting solid returns for the risk taken. A good sign, especially for investors who want growth without excessive volatility.


gpt1 Risk / Return Rank: 7979
Overall Rank
gpt1 Sharpe Ratio Rank: 8585
Sharpe Ratio Rank
gpt1 Sortino Ratio Rank: 8080
Sortino Ratio Rank
gpt1 Omega Ratio Rank: 7474
Omega Ratio Rank
gpt1 Calmar Ratio Rank: 8383
Calmar Ratio Rank
gpt1 Martin Ratio Rank: 7373
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 gpt1 and compares them with S&P 500 Index.


PortfolioBenchmarkDifference
Sharpe ratioReturn per unit of total volatility

3.31

1.94

+1.37

Sortino ratioReturn per unit of downside risk

3.89

2.63

+1.26

Omega ratioGain probability vs. loss probability

1.53

1.35

+0.18

Calmar ratioReturn relative to maximum drawdown

5.73

2.59

+3.15

Martin ratioReturn relative to average drawdown

18.96

11.84

+7.12


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
000660.KS
SK Hynix Inc
999.985.661.7523.6871.59
ASML
ASML Holding N.V.
953.243.631.457.5620.33
BRK-B
Berkshire Hathaway Inc.
35-0.09-0.031.00-0.14-0.30
EGLN.L
iShares Physical Gold ETC
361.211.641.241.624.27
MELI
MercadoLibre, Inc.
8-0.89-1.140.85-0.86-1.54
MSFT
Microsoft Corporation
24-0.47-0.490.94-0.35-0.73
NVDA
NVIDIA Corporation
771.371.941.242.365.73
PLTR
Palantir Technologies Inc.
450.140.531.070.180.33

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.

gpt1 Sharpe ratios as of Jun 9, 2026 (values are recalculated daily):

  • 1-Year: 3.31
  • 5-Year: 1.62
  • All Time: 1.77

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 is in the top 25%. This signifies superior risk-adjusted performance, meaning the portfolio is delivering strong returns for the level of risk taken compared to most others.

The chart below shows the rolling Sharpe ratio of gpt1 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

gpt1 provided a 0.17% dividend yield over the last twelve months.


PositionTTM20252024202320222021202020192018201720162015
Portfolio0.17%0.22%0.24%0.28%0.48%0.29%0.30%0.46%0.70%0.49%0.61%0.79%
000660.KS
SK Hynix Inc
0.14%0.42%0.52%0.85%1.60%1.18%0.99%1.06%2.48%1.31%1.34%1.63%
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 gpt1. 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 gpt1 was 41.59%, occurring on Oct 14, 2022. Recovery took 159 trading sessions.

The current gpt1 drawdown is 4.33%.


Related event

Drawdown

Fall

Recovery

Underwater

Bear market2022
-41.59%Oct 2022
10mo 26d7mo 13d
1y 6moNov 2021 - May 2023
2025 selloff2025
-17.88%Apr 2025
1mo 18d1mo 4d
2mo 22dFeb 2025 - May 2025
2024 correction2024
-15.64%Aug 2024
25d1mo 22d
2mo 17dJul 2024 - Sep 2024
2021 correction2021
-13.95%Mar 2021
24d2mo 26d
3mo 20dFeb 2021 - Jun 2021
2026 correction2026
-13.24%Mar 2026
1mo 1d18d
1mo 19dFeb 2026 - Apr 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 8 assets, with an effective number of assets of 6.73, reflecting the diversification based on asset allocation. Your capital is well-distributed across most of your holdings, with only mild concentration in a few names. True diversification also depends on the correlations between assets — check the diversification ratio below.


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

1.78

1.70

1.56

1.58

The portfolio has a diversification ratio of 1.58, in line with the typical range across portfolios. There's room to improve by adding less correlated assets.

gpt1 correlation to the S&P 500 Index

gpt1 has a 0.56 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

0.56

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

0.70

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

0.75

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

0.73


Benchmark Correlations

Correlation vs. S&P 500 Index. MSFT has the highest benchmark correlation at 0.72, while EGLN.L has the lowest at 0.13.

EGLN.L
0.13
PLTR
0.52
BRK-B
0.53
MELI
0.54
NVDA
0.67
ASML
0.69
MSFT
0.72

Portfolio Correlations

Correlation vs. gpt1. NVDA has the highest portfolio correlation at 0.83, while EGLN.L has the lowest at 0.23.

EGLN.L
0.23
BRK-B
0.24
MELI
0.57
MSFT
0.64
PLTR
0.67
ASML
0.70
NVDA
0.83

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 gpt1 is missing

See which holdings overlap, where gpt1 is concentrated, and which low-correlation assets could fill the gaps.

Analyze Diversification