Asset Allocation
Performance
Performance Chart
The chart shows the growth of an initial investment of $10,000 in ChatGPT September Defensive Tilt, 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.
Loading graphics...
The earliest data available for this chart is Oct 20, 2011, corresponding to the inception date of SCHD
Returns By Period
As of Apr 1, 2026, the ChatGPT September Defensive Tilt returned 2.94% Year-To-Date and 14.67% of annualized return in the last 10 years.
| 1D | 1M | YTD | 6M | 1Y | 3Y* | 5Y* | 10Y* | |
|---|---|---|---|---|---|---|---|---|
Benchmark S&P 500 Index | 2.91% | -5.09% | -4.63% | -2.39% | 16.33% | 16.69% | 10.18% | 12.16% |
Portfolio ChatGPT September Defensive Tilt | 2.01% | -4.02% | 2.94% | 6.91% | 22.12% | 16.79% | 10.63% | 14.67% |
| Portfolio components: | ||||||||
SCHD Schwab U.S. Dividend Equity ETF | 0.66% | -2.61% | 12.79% | 14.49% | 13.97% | 12.05% | 8.44% | 12.31% |
QQQ Invesco QQQ ETF | 3.39% | -4.84% | -5.93% | -3.62% | 23.68% | 22.32% | 12.88% | 18.85% |
SMH VanEck Semiconductor ETF | 5.76% | -5.65% | 6.46% | 17.84% | 81.87% | 43.47% | 25.59% | 31.28% |
XLV State Street Health Care Select Sector SPDR ETF | 1.94% | -8.11% | -4.90% | 6.23% | 2.20% | 5.98% | 6.42% | 9.72% |
TLT iShares 20+ Year Treasury Bond ETF | -0.10% | -4.23% | 0.17% | -0.87% | -0.49% | -2.78% | -5.85% | -1.38% |
BIL SPDR Barclays 1-3 Month T-Bill ETF | 0.00% | 0.29% | 0.85% | 1.84% | 3.99% | 4.70% | 3.27% | 2.12% |
Monthly Returns
Based on dividend-adjusted daily data since Oct 21, 2011, ChatGPT September Defensive Tilt's average daily return is +0.06%, while the average monthly return is +1.19%. At this rate, your investment would double in approximately 4.9 years.
Historically, 71% of months were positive and 29% were negative. The best month was Apr 2020 with a return of +11.0%, while the worst month was Apr 2022 at -8.3%. The longest winning streak lasted 10 consecutive months, and the longest losing streak was 3 months.
On a daily basis, ChatGPT September Defensive Tilt closed higher 56% of trading days. The best single day was Apr 9, 2025 with a return of +7.7%, while the worst single day was Mar 16, 2020 at -7.9%.
| Jan | Feb | Mar | Apr | May | Jun | Jul | Aug | Sep | Oct | Nov | Dec | Total | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2026 | 4.74% | 2.39% | -4.02% | 2.94% | |||||||||
| 2025 | 1.95% | 0.18% | -3.77% | -2.46% | 3.97% | 5.56% | 0.73% | 2.47% | 3.38% | 2.82% | 1.03% | -0.02% | 16.61% |
| 2024 | 1.55% | 4.22% | 3.08% | -4.28% | 4.55% | 3.38% | 1.33% | 1.58% | 1.08% | -1.36% | 3.04% | -3.01% | 15.77% |
| 2023 | 6.42% | -1.77% | 4.59% | -0.63% | 2.43% | 4.52% | 2.94% | -1.57% | -4.65% | -3.11% | 8.48% | 6.14% | 25.34% |
| 2022 | -5.70% | -2.32% | 2.13% | -8.27% | 1.66% | -7.41% | 7.31% | -4.65% | -8.06% | 5.07% | 7.66% | -5.25% | -18.09% |
| 2021 | 0.13% | 1.98% | 3.29% | 2.75% | 1.21% | 2.75% | 1.82% | 2.32% | -4.20% | 5.06% | 1.63% | 3.35% | 24.12% |
Benchmark Metrics
ChatGPT September Defensive Tilt has an annualized alpha of 4.38%, beta of 0.78, and R² of 0.92 versus S&P 500 Index. Calculated based on daily prices since October 21, 2011.
- This portfolio participates in less of S&P 500 Index's moves in both directions, but captures a larger share of gains (91.79%) than losses (76.92%) — typical of diversified or defensive assets.
- This portfolio generated an annualized alpha of 4.38% versus S&P 500 Index — delivering returns beyond what market exposure alone would predict.
- Alpha
- 4.38%
- Beta
- 0.78
- R²
- 0.92
- Upside Capture
- 91.79%
- Downside Capture
- 76.92%
Expense Ratio
ChatGPT September Defensive Tilt has an expense ratio of 0.15%, 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
ChatGPT September Defensive Tilt ranks 72 for risk / return — better than 72% 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.
Return / Risk — by metrics
| Portfolio | Benchmark | Difference | |
|---|---|---|---|
Sharpe ratioReturn per unit of total volatility | 1.44 | 0.90 | +0.54 |
Sortino ratioReturn per unit of downside risk | 2.09 | 1.39 | +0.71 |
Omega ratioGain probability vs. loss probability | 1.32 | 1.21 | +0.11 |
Calmar ratioReturn relative to maximum drawdown | 2.17 | 1.40 | +0.78 |
Martin ratioReturn relative to average drawdown | 10.30 | 6.61 | +3.69 |
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 | |
|---|---|---|---|---|---|---|
SCHD Schwab U.S. Dividend Equity ETF | 52 | 0.89 | 1.35 | 1.19 | 1.19 | 3.99 |
QQQ Invesco QQQ ETF | 69 | 1.05 | 1.63 | 1.23 | 1.88 | 6.95 |
SMH VanEck Semiconductor ETF | 95 | 2.23 | 2.85 | 1.40 | 5.10 | 18.29 |
XLV State Street Health Care Select Sector SPDR ETF | 16 | 0.12 | 0.30 | 1.04 | 0.28 | 0.57 |
TLT iShares 20+ Year Treasury Bond ETF | 12 | -0.04 | 0.02 | 1.00 | 0.05 | 0.11 |
BIL SPDR Barclays 1-3 Month T-Bill ETF | 100 | 19.52 | 254.04 | 180.28 | 365.54 | 4,104.04 |
Loading graphics...
Dividends
Dividend yield
ChatGPT September Defensive Tilt provided a 2.22% dividend yield over the last twelve months.
| TTM | 2025 | 2024 | 2023 | 2022 | 2021 | 2020 | 2019 | 2018 | 2017 | 2016 | 2015 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Portfolio | 2.22% | 2.32% | 2.40% | 2.28% | 1.94% | 1.30% | 1.52% | 1.95% | 2.01% | 1.67% | 1.68% | 1.86% |
| Portfolio components: | ||||||||||||
SCHD Schwab U.S. Dividend Equity ETF | 3.44% | 3.82% | 3.64% | 3.49% | 3.39% | 2.78% | 3.16% | 2.98% | 3.06% | 2.63% | 2.89% | 2.97% |
QQQ Invesco QQQ ETF | 0.49% | 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 | 0.29% | 0.31% | 0.44% | 0.60% | 1.18% | 0.51% | 0.69% | 1.50% | 1.88% | 1.43% | 0.80% | 2.14% |
XLV State Street Health Care Select Sector SPDR ETF | 1.71% | 1.60% | 1.67% | 1.59% | 1.47% | 1.33% | 1.49% | 2.17% | 1.57% | 1.47% | 1.60% | 1.43% |
TLT iShares 20+ Year Treasury Bond ETF | 4.49% | 4.43% | 4.30% | 3.38% | 2.67% | 1.50% | 1.50% | 2.27% | 2.63% | 2.43% | 2.60% | 2.61% |
BIL SPDR Barclays 1-3 Month T-Bill ETF | 4.01% | 4.13% | 5.03% | 4.92% | 1.35% | 0.00% | 0.30% | 2.05% | 1.66% | 0.68% | 0.07% | 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.
Loading graphics...
Worst Drawdowns
The table below displays the maximum drawdowns of the ChatGPT September Defensive Tilt. 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 ChatGPT September Defensive Tilt was 24.88%, occurring on Oct 14, 2022. Recovery took 293 trading sessions.
The current ChatGPT September Defensive Tilt drawdown is 4.60%.
Depth | Start | To Bottom | Bottom | To Recover | End | Total |
|---|---|---|---|---|---|---|
| -24.88% | Dec 28, 2021 | 202 | Oct 14, 2022 | 293 | Dec 14, 2023 | 495 |
| -22.88% | Feb 20, 2020 | 23 | Mar 23, 2020 | 52 | Jun 5, 2020 | 75 |
| -15.26% | Feb 21, 2025 | 33 | Apr 8, 2025 | 54 | Jun 26, 2025 | 87 |
| -14.97% | Sep 21, 2018 | 65 | Dec 24, 2018 | 57 | Mar 19, 2019 | 122 |
| -11.08% | May 28, 2015 | 63 | Aug 25, 2015 | 49 | Nov 3, 2015 | 112 |
Volatility
Volatility Chart
The chart below shows the rolling one-month volatility.
Loading graphics...
Diversification
Diversification Metrics
Number of Effective Assets
The portfolio contains 6 assets, with an effective number of assets of 4.88, 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 | BIL | TLT | XLV | SMH | SCHD | QQQ | Portfolio | |
|---|---|---|---|---|---|---|---|---|
| Benchmark | 1.00 | 0.00 | -0.21 | 0.72 | 0.77 | 0.83 | 0.90 | 0.94 |
| BIL | 0.00 | 1.00 | 0.01 | -0.03 | 0.02 | 0.00 | -0.00 | 0.01 |
| TLT | -0.21 | 0.01 | 1.00 | -0.13 | -0.18 | -0.21 | -0.15 | -0.08 |
| XLV | 0.72 | -0.03 | -0.13 | 1.00 | 0.47 | 0.71 | 0.61 | 0.71 |
| SMH | 0.77 | 0.02 | -0.18 | 0.47 | 1.00 | 0.58 | 0.83 | 0.88 |
| SCHD | 0.83 | 0.00 | -0.21 | 0.71 | 0.58 | 1.00 | 0.63 | 0.81 |
| QQQ | 0.90 | -0.00 | -0.15 | 0.61 | 0.83 | 0.63 | 1.00 | 0.92 |
| Portfolio | 0.94 | 0.01 | -0.08 | 0.71 | 0.88 | 0.81 | 0.92 | 1.00 |