Asset Allocation
| Position | Category/Sector | Target Weight |
|---|---|---|
IAU iShares Gold Trust | Gold, Precious Metals | 7.50% |
QQQ Invesco QQQ ETF | Large Cap Growth Equities | 20% |
SGOV iShares 0-3 Month Treasury Bond ETF | Ultrashort Bond | 7.50% |
SMH VanEck Semiconductor ETF | Semiconductors, Technology Equities | 30% |
VTI Vanguard Total Stock Market ETF | Large Cap Blend Equities | 15% |
VXUS Vanguard Total International Stock ETF | Foreign Large Cap Equities | 20% |
Performance
Performance Chart
The chart shows the growth of an initial investment of $10,000 in ChatGpt20251118, 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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The earliest data available for this chart is May 28, 2020, corresponding to the inception date of SGOV
Returns By Period
| 1D | 1M | YTD | 6M | 1Y | 3Y* | 5Y* | 10Y* | |
|---|---|---|---|---|---|---|---|---|
Benchmark S&P 500 Index | 0.11% | -3.43% | -3.84% | -1.98% | 16.08% | 16.86% | 10.37% | 12.29% |
Portfolio ChatGpt20251118 | -0.20% | -2.06% | 2.52% | 7.00% | 40.30% | 26.93% | 16.04% | — |
| Portfolio components: | ||||||||
QQQ Invesco QQQ ETF | 0.11% | -2.64% | -4.65% | -3.18% | 23.45% | 22.97% | 13.18% | 19.05% |
SMH VanEck Semiconductor ETF | 0.09% | 0.32% | 8.94% | 16.35% | 83.82% | 44.85% | 26.17% | 31.69% |
VTI Vanguard Total Stock Market ETF | 0.16% | -3.26% | -3.13% | -1.24% | 17.86% | 18.10% | 10.66% | 13.75% |
VXUS Vanguard Total International Stock ETF | -0.68% | -2.51% | 2.81% | 6.58% | 28.04% | 15.41% | 7.43% | 9.01% |
IAU iShares Gold Trust | -1.94% | -8.32% | 8.34% | 21.05% | 49.18% | 32.68% | 21.72% | 14.14% |
SGOV iShares 0-3 Month Treasury Bond ETF | 0.04% | 0.32% | 0.92% | 1.92% | 4.10% | 4.81% | 3.42% | — |
Monthly Returns
Based on dividend-adjusted daily data since May 29, 2020, ChatGpt20251118's average daily return is +0.08%, while the average monthly return is +1.68%. At this rate, your investment would double in approximately 3.5 years.
Historically, 68% of months were positive and 32% were negative. The best month was Nov 2020 with a return of +11.9%, while the worst month was Apr 2022 at -10.0%. The longest winning streak lasted 10 consecutive months, and the longest losing streak was 3 months.
On a daily basis, ChatGpt20251118 closed higher 56% of trading days. The best single day was Apr 9, 2025 with a return of +10.5%, while the worst single day was Apr 4, 2025 at -5.7%.
| Jan | Feb | Mar | Apr | May | Jun | Jul | Aug | Sep | Oct | Nov | Dec | Total | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2026 | 6.16% | 1.45% | -5.93% | 1.20% | 2.52% | ||||||||
| 2025 | 2.29% | -1.58% | -4.12% | 1.15% | 7.75% | 7.97% | 1.70% | 1.93% | 6.92% | 5.29% | -0.72% | 1.35% | 33.35% |
| 2024 | 2.00% | 6.84% | 4.00% | -3.17% | 6.53% | 4.18% | -0.68% | 0.83% | 2.04% | -1.28% | 1.90% | -0.87% | 24.12% |
| 2023 | 10.41% | -1.31% | 6.65% | -1.08% | 5.66% | 4.72% | 3.95% | -2.35% | -4.92% | -2.15% | 10.01% | 6.02% | 40.07% |
| 2022 | -6.59% | -2.11% | 1.59% | -9.96% | 1.51% | -9.62% | 9.36% | -5.68% | -9.86% | 3.24% | 11.20% | -5.93% | -22.95% |
| 2021 | 0.94% | 2.39% | 1.50% | 2.69% | 1.76% | 2.56% | 0.90% | 2.44% | -4.38% | 5.29% | 2.78% | 2.28% | 23.00% |
Benchmark Metrics
ChatGpt20251118 has an annualized alpha of 5.64%, beta of 1.05, and R² of 0.84 versus S&P 500 Index. Calculated based on daily prices since May 29, 2020.
- This portfolio captured 115.36% of S&P 500 Index gains but only 88.54% of its losses — a favorable profile for investors.
- This portfolio generated an annualized alpha of 5.64% versus S&P 500 Index — delivering returns beyond what market exposure alone would predict.
- With beta of 1.05 and R² of 0.84, 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
- 5.64%
- Beta
- 1.05
- R²
- 0.84
- Upside Capture
- 115.36%
- Downside Capture
- 88.54%
Expense Ratio
ChatGpt20251118 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.
Return for Risk
Risk / Return Rank
ChatGpt20251118 ranks 88 for risk / return — in the top 88% of portfolios on our site. This means strong returns relative to risk — exactly what professional investors look for. Well-suited for investors who want to maximize return per unit of risk.
Return / Risk — by metrics
| Portfolio | Benchmark | Difference | |
|---|---|---|---|
Sharpe ratioReturn per unit of total volatility | 1.91 | 0.88 | +1.02 |
Sortino ratioReturn per unit of downside risk | 2.66 | 1.37 | +1.30 |
Omega ratioGain probability vs. loss probability | 1.39 | 1.21 | +0.18 |
Calmar ratioReturn relative to maximum drawdown | 3.51 | 1.39 | +2.12 |
Martin ratioReturn relative to average drawdown | 14.40 | 6.43 | +7.97 |
Data is calculated on a 1-year rolling basis and updated daily. The trend shows the change in the indicator over the past month. | |||
How much return does each position deliver for the risk it carries? Higher values mean better reward for the risk taken.
| Risk / Return Rank | Sharpe ratio | Sortino ratio | Omega ratio | Calmar ratio | Martin ratio | |
|---|---|---|---|---|---|---|
QQQ Invesco QQQ ETF | 59 | 1.04 | 1.62 | 1.23 | 1.93 | 7.00 |
SMH VanEck Semiconductor ETF | 94 | 2.28 | 2.89 | 1.41 | 5.34 | 18.94 |
VTI Vanguard Total Stock Market ETF | 54 | 0.94 | 1.47 | 1.22 | 1.53 | 7.16 |
VXUS Vanguard Total International Stock ETF | 80 | 1.63 | 2.25 | 1.33 | 2.52 | 9.49 |
IAU iShares Gold Trust | 80 | 1.78 | 2.21 | 1.33 | 2.58 | 9.32 |
SGOV iShares 0-3 Month Treasury Bond ETF | 100 | 20.63 | 286.00 | 202.83 | 412.76 | 4,634.41 |
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Dividends
Dividend yield
ChatGpt20251118 provided a 1.24% dividend yield over the last twelve months.
| TTM | 2025 | 2024 | 2023 | 2022 | 2021 | 2020 | 2019 | 2018 | 2017 | 2016 | 2015 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Portfolio | 1.24% | 1.29% | 1.49% | 1.53% | 1.49% | 1.04% | 0.96% | 1.48% | 1.69% | 1.40% | 1.33% | 1.70% |
| Portfolio components: | ||||||||||||
QQQ Invesco QQQ ETF | 0.48% | 0.45% | 0.56% | 0.62% | 0.80% | 0.43% | 0.55% | 0.74% | 0.91% | 0.84% | 1.06% | 0.99% |
SMH VanEck Semiconductor ETF | 0.28% | 0.31% | 0.44% | 0.60% | 1.18% | 0.51% | 0.69% | 1.50% | 1.88% | 1.43% | 0.80% | 2.14% |
VTI Vanguard Total Stock Market ETF | 1.16% | 1.12% | 1.27% | 1.44% | 1.66% | 1.21% | 1.42% | 1.78% | 2.04% | 1.71% | 1.92% | 1.98% |
VXUS Vanguard Total International Stock ETF | 2.95% | 3.18% | 3.37% | 3.24% | 3.09% | 3.10% | 2.14% | 3.06% | 3.18% | 2.73% | 2.93% | 2.83% |
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% |
SGOV iShares 0-3 Month Treasury Bond ETF | 3.95% | 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 ChatGpt20251118. 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 ChatGpt20251118 was 31.33%, occurring on Oct 14, 2022. Recovery took 188 trading sessions.
The current ChatGpt20251118 drawdown is 6.34%.
Depth | Start | To Bottom | Bottom | To Recover | End | Total |
|---|---|---|---|---|---|---|
| -31.33% | Dec 28, 2021 | 202 | Oct 14, 2022 | 188 | Jul 18, 2023 | 390 |
| -18.8% | Feb 21, 2025 | 33 | Apr 8, 2025 | 28 | May 19, 2025 | 61 |
| -12.52% | Jul 11, 2024 | 20 | Aug 7, 2024 | 47 | Oct 14, 2024 | 67 |
| -11.01% | Feb 26, 2026 | 23 | Mar 30, 2026 | — | — | — |
| -10.17% | Aug 1, 2023 | 62 | Oct 26, 2023 | 17 | Nov 20, 2023 | 79 |
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 6 assets, with an effective number of assets of 4.91, reflecting the diversification based on asset allocation. This number of effective assets suggests a highly concentrated portfolio, where a few assets dominate the allocation, potentially increasing the portfolio's risk due to lack of diversification.
Asset Correlations Table
| Benchmark | SGOV | IAU | VXUS | SMH | QQQ | VTI | Portfolio | |
|---|---|---|---|---|---|---|---|---|
| Benchmark | 1.00 | -0.02 | 0.12 | 0.77 | 0.79 | 0.92 | 0.99 | 0.90 |
| SGOV | -0.02 | 1.00 | 0.02 | -0.02 | -0.01 | -0.01 | -0.02 | -0.01 |
| IAU | 0.12 | 0.02 | 1.00 | 0.33 | 0.12 | 0.12 | 0.13 | 0.22 |
| VXUS | 0.77 | -0.02 | 0.33 | 1.00 | 0.67 | 0.69 | 0.79 | 0.80 |
| SMH | 0.79 | -0.01 | 0.12 | 0.67 | 1.00 | 0.86 | 0.79 | 0.96 |
| QQQ | 0.92 | -0.01 | 0.12 | 0.69 | 0.86 | 1.00 | 0.91 | 0.93 |
| VTI | 0.99 | -0.02 | 0.13 | 0.79 | 0.79 | 0.91 | 1.00 | 0.90 |
| Portfolio | 0.90 | -0.01 | 0.22 | 0.80 | 0.96 | 0.93 | 0.90 | 1.00 |