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GPT平衡型ETF
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 GPT平衡型ETF, 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
-2.64%-0.21%7.86%7.85%23.05%19.90%11.79%13.33%
Portfolio
GPT平衡型ETF
-1.56%0.23%3.95%4.29%15.00%16.46%10.49%
IAU
iShares Gold Trust
-3.63%-8.61%0.06%2.63%30.01%29.73%17.65%12.97%
IDU
iShares U.S. Utilities ETF
0.84%-0.54%4.11%3.63%10.00%14.16%9.35%8.89%
IGV
iShares Expanded Tech-Software Sector ETF
-4.21%5.16%-9.31%-12.43%-9.56%12.89%5.86%16.27%
IVV
iShares Core S&P 500 ETF
-2.62%-0.01%8.46%8.18%24.60%21.53%13.39%15.21%
IWF
iShares Russell 1000 Growth ETF
-3.26%-0.69%3.78%2.69%20.87%23.51%14.52%18.08%
IYH
iShares U.S. Healthcare ETF
0.41%6.32%-1.02%-0.24%15.60%6.81%5.27%9.32%
IYK
iShares U.S. Consumer Goods ETF
2.33%0.80%7.92%8.93%4.62%5.78%6.00%9.05%
IYR
iShares U.S. Real Estate ETF
0.74%-0.22%9.52%8.69%10.54%9.53%2.54%5.74%
SGOV
iShares 0-3 Month Treasury Bond ETF
0.03%0.27%1.55%1.79%3.94%4.72%3.54%
*Multi-year figures are annualized to reflect compound growth (CAGR)

Monthly Returns

Based on dividend-adjusted daily data since May 29, 2020, GPT平衡型ETF's average daily return is +0.05%, while the average monthly return is +1.08%. At this rate, an investment would double in approximately 5.4 years.

Historically, 65% of months were positive and 35% were negative. The best month was Nov 2023 with a return of +7.4%, while the worst month was Sep 2022 at -7.6%. The longest winning streak lasted 8 consecutive months, and the longest losing streak was 3 months.

On a daily basis, GPT平衡型ETF closed higher 56% of trading days. The best single day was Apr 9, 2025 with a return of +6.5%, while the worst single day was Apr 4, 2025 at -4.7%.


JanFebMarAprMayJunJulAugSepOctNovDecTotal
20260.80%1.98%-5.53%5.09%3.92%-1.99%3.95%
20253.02%0.06%-2.27%0.93%3.40%2.82%1.07%1.60%3.70%1.56%1.02%-0.67%17.32%
20240.80%3.16%3.13%-2.71%3.31%2.45%1.81%3.07%2.30%-0.60%4.42%-3.34%18.92%
20234.09%-2.83%4.57%1.24%-0.07%4.02%2.51%-1.84%-4.38%-0.57%7.41%3.47%18.36%
2022-5.08%-1.54%3.49%-5.94%-0.95%-4.94%5.95%-3.24%-7.57%5.24%4.85%-3.33%-13.42%
2021-0.78%-0.78%2.90%4.53%0.53%1.85%2.81%2.36%-4.47%5.53%-1.57%4.39%18.21%

Benchmark Metrics

GPT平衡型ETF has an annualized alpha of 1.83%, beta of 0.71, and R2 of 0.91 versus S&P 500 Index. Calculated based on daily prices since May 29, 2020.

  • This portfolio participated in 74.96% of S&P 500 Index downside but only 73.04% of its upside - more exposed to losses than it benefited from rallies.

Alpha
1.83%
Beta
0.71
0.91
Upside Capture
73.04%
Downside Capture
74.96%

Expense Ratio

GPT平衡型ETF has an expense ratio of 0.25%, 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

GPT平衡型ETF ranks 25 for risk / return — below 25% 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.


GPT平衡型ETF Risk / Return Rank: 2525
Overall Rank
GPT平衡型ETF Sharpe Ratio Rank: 2525
Sharpe Ratio Rank
GPT平衡型ETF Sortino Ratio Rank: 2626
Sortino Ratio Rank
GPT平衡型ETF Omega Ratio Rank: 2525
Omega Ratio Rank
GPT平衡型ETF Calmar Ratio Rank: 2222
Calmar Ratio Rank
GPT平衡型ETF Martin Ratio Rank: 2929
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 GPT平衡型ETF and compares them with S&P 500 Index.


PortfolioBenchmarkDifference
Sharpe ratioReturn per unit of total volatility

1.74

2.01

-0.26

Sortino ratioReturn per unit of downside risk

2.44

2.71

-0.28

Omega ratioGain probability vs. loss probability

1.31

1.36

-0.05

Calmar ratioReturn relative to maximum drawdown

2.05

2.69

-0.64

Martin ratioReturn relative to average drawdown

8.80

12.34

-3.54


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
IAU
iShares Gold Trust
311.071.451.221.423.60
IDU
iShares U.S. Utilities ETF
230.761.101.141.132.65
IGV
iShares Expanded Tech-Software Sector ETF
7-0.30-0.240.97-0.23-0.49
IVV
iShares Core S&P 500 ETF
722.152.891.392.9213.52
IWF
iShares Russell 1000 Growth ETF
391.411.931.251.364.54
IYH
iShares U.S. Healthcare ETF
331.111.761.201.573.76
IYK
iShares U.S. Consumer Goods ETF
150.400.651.080.460.98
IYR
iShares U.S. Real Estate ETF
270.831.211.151.294.04
SGOV
iShares 0-3 Month Treasury Bond ETF
10020.34277.10196.55400.294,485.40

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.

GPT平衡型ETF Sharpe ratios as of Jun 6, 2026 (values are recalculated daily):

  • 1-Year: 1.74
  • 5-Year: 0.85
  • All Time: 1.06

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 1.64 to 2.53, this portfolio's current Sharpe ratio falls between the 25th and 75th percentiles. This indicates that its risk-adjusted performance is in line with the majority of portfolios, suggesting a balanced approach to risk and return—likely suitable for a wide range of investors.

The chart below shows the rolling Sharpe ratio of GPT平衡型ETF 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

GPT平衡型ETF provided a 1.37% dividend yield over the last twelve months.


PositionTTM20252024202320222021202020192018201720162015
Portfolio1.37%1.44%1.58%1.69%1.33%0.90%1.14%1.28%1.58%1.26%1.63%1.71%
IAU
iShares Gold Trust
0.00%0.00%0.00%0.00%0.00%0.00%0.00%0.00%0.00%0.00%0.00%0.00%
IDU
iShares U.S. Utilities ETF
2.21%2.23%2.29%2.79%2.39%2.39%2.94%2.71%2.80%2.62%3.18%4.22%
IGV
iShares Expanded Tech-Software Sector ETF
0.00%0.00%0.00%0.01%0.01%0.00%0.35%0.02%0.16%0.09%0.82%0.22%
IVV
iShares Core S&P 500 ETF
1.09%1.17%1.30%1.44%1.66%1.20%1.57%1.85%2.21%1.75%2.01%2.27%
IWF
iShares Russell 1000 Growth ETF
0.34%0.36%0.46%0.67%0.91%0.49%0.66%0.99%1.27%1.10%1.43%1.37%
IYH
iShares U.S. Healthcare ETF
1.25%1.19%1.25%1.18%1.10%0.94%1.16%1.14%1.95%1.10%1.29%2.02%
IYK
iShares U.S. Consumer Goods ETF
2.63%2.75%2.63%2.74%2.16%1.49%1.42%2.21%2.81%1.74%2.63%2.11%
IYR
iShares U.S. Real Estate ETF
2.19%2.48%2.57%2.75%2.92%2.06%2.58%3.05%3.53%3.73%4.41%3.92%
SGOV
iShares 0-3 Month Treasury Bond ETF
3.85%4.10%5.10%4.87%1.45%0.03%0.05%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 GPT平衡型ETF. 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 GPT平衡型ETF was 19.78%, occurring on Oct 14, 2022. Recovery took 292 trading sessions.

The current GPT平衡型ETF drawdown is 2.19%.


Related event

Drawdown

Fall

Recovery

Underwater

Bear market2022
-19.78%Oct 2022
9mo 17d1y 2mo
1y 11moDec 2021 - Dec 2023
2025 selloff2025
-12.06%Apr 2025
1mo 17d1mo 11d
2mo 28dFeb 2025 - May 2025
2026 pullback2026
-7.64%Mar 2026
24d1mo 10d
2mo 4dMar 2026 - May 2026
2020 pullback2020
-7.35%Sep 2020
20d19d
1mo 9dSep 2020 - Oct 2020
2021 pullback2021
-6.57%Mar 2021
16d1mo 3d
1mo 19dFeb 2021 - Apr 2021

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 9 assets, with an effective number of assets of 8.00, 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

1.68

1.44

1.33

1.31

The portfolio has a diversification ratio of 1.31, in line with the typical range across portfolios. There's room to improve by adding less correlated assets.

GPT平衡型ETF correlation to the S&P 500 Index

GPT平衡型ETF has a 0.87 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

0.87

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

0.91

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

0.94

Correlation (All Time)
Calculated using the full available price history since May 29, 2020

0.94


Benchmark Correlations

Correlation vs. S&P 500 Index. IVV has the highest benchmark correlation at 1.00, while SGOV has the lowest at -0.02.

SGOV
-0.02
IAU
0.14
IDU
0.41
IYK
0.45
IYR
0.62
IYH
0.63
IGV
0.76
IWF
0.94
IVV
1.00

Portfolio Correlations

Correlation vs. GPT平衡型ETF. IVV has the highest portfolio correlation at 0.94, while SGOV has the lowest at -0.01.

SGOV
-0.01
IAU
0.30
IDU
0.54
IYK
0.55
IYR
0.69
IYH
0.71
IGV
0.79
IWF
0.89
IVV
0.94

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 May 29, 2020
Diversification Analysis

Find what GPT平衡型ETF is missing

See which holdings overlap, where GPT平衡型ETF is concentrated, and which low-correlation assets could fill the gaps.

Analyze Diversification