Asset Allocation
Performance
Performance Chart
The chart shows the growth of an initial investment of $10,000 in ai-portfolio, 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 Sep 13, 2016, corresponding to the inception date of BOTZ
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 ai-portfolio | -0.27% | -2.91% | -0.22% | 4.18% | 35.35% | 16.36% | 8.68% | — |
| Portfolio components: | ||||||||
MOAT VanEck Vectors Morningstar Wide Moat ETF | 0.11% | -8.33% | -6.76% | -2.71% | 10.87% | 10.84% | 7.95% | 13.46% |
VGT Vanguard Information Technology ETF | 0.85% | -1.42% | -5.36% | -5.79% | 29.79% | 23.50% | 15.02% | 21.67% |
SMH VanEck Semiconductor ETF | 0.09% | 0.32% | 8.94% | 16.35% | 83.82% | 44.85% | 26.17% | 31.69% |
ICLN iShares Global Clean Energy ETF | -1.10% | 1.86% | 9.86% | 14.48% | 59.17% | -1.03% | -4.37% | 8.99% |
IBB iShares Nasdaq Biotechnology ETF | -0.41% | -0.32% | 0.46% | 13.45% | 33.95% | 9.60% | 2.53% | 6.78% |
VIG Vanguard Dividend Appreciation ETF | 0.16% | -3.69% | -1.33% | 0.36% | 12.71% | 13.72% | 9.86% | 12.36% |
BOTZ Global X Robotics & Artificial Intelligence Thematic ETF | -1.47% | -9.49% | -7.81% | -7.62% | 16.24% | 9.84% | -0.10% | — |
Monthly Returns
Based on dividend-adjusted daily data since Sep 14, 2016, ai-portfolio's average daily return is +0.07%, while the average monthly return is +1.35%. At this rate, your investment would double in approximately 4.3 years.
Historically, 68% of months were positive and 32% were negative. The best month was Nov 2020 with a return of +15.0%, while the worst month was Mar 2020 at -12.2%. The longest winning streak lasted 15 consecutive months, and the longest losing streak was 3 months.
On a daily basis, ai-portfolio closed higher 55% of trading days. The best single day was Apr 9, 2025 with a return of +10.1%, while the worst single day was Mar 16, 2020 at -11.7%.
| Jan | Feb | Mar | Apr | May | Jun | Jul | Aug | Sep | Oct | Nov | Dec | Total | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2026 | 4.40% | 1.16% | -6.12% | 0.63% | -0.22% | ||||||||
| 2025 | 2.05% | -2.65% | -6.03% | 0.05% | 6.41% | 7.28% | 3.16% | 2.46% | 5.97% | 7.42% | -0.69% | 0.19% | 27.65% |
| 2024 | -0.71% | 5.71% | 2.54% | -5.57% | 6.85% | 1.40% | 2.24% | 1.51% | 1.31% | -3.29% | 2.47% | -3.57% | 10.64% |
| 2023 | 9.68% | -2.68% | 6.02% | -1.56% | 4.07% | 4.57% | 2.53% | -4.57% | -6.47% | -5.63% | 11.32% | 8.29% | 26.24% |
| 2022 | -10.03% | -0.68% | 1.98% | -11.75% | 1.50% | -8.19% | 11.66% | -5.04% | -10.68% | 6.05% | 9.84% | -5.98% | -22.27% |
| 2021 | 2.11% | -0.28% | 0.27% | 2.04% | 0.10% | 3.93% | 0.50% | 3.48% | -4.83% | 6.27% | -0.63% | 0.35% | 13.65% |
Benchmark Metrics
ai-portfolio has an annualized alpha of 2.14%, beta of 1.09, and R² of 0.88 versus S&P 500 Index. Calculated based on daily prices since September 14, 2016.
- This portfolio captured 117.61% of S&P 500 Index gains and 105.44% of its losses — amplifying both gains and losses, but participating more in upside than downside.
- This portfolio generated an annualized alpha of 2.14% versus S&P 500 Index — delivering returns beyond what market exposure alone would predict.
- With beta of 1.09 and R² of 0.88, 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
- 2.14%
- Beta
- 1.09
- R²
- 0.88
- Upside Capture
- 117.61%
- Downside Capture
- 105.44%
Expense Ratio
ai-portfolio has an expense ratio of 0.38%, placing it in the medium range. 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
ai-portfolio 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.
Return / Risk — by metrics
| Portfolio | Benchmark | Difference | |
|---|---|---|---|
Sharpe ratioReturn per unit of total volatility | 1.61 | 0.88 | +0.72 |
Sortino ratioReturn per unit of downside risk | 2.29 | 1.37 | +0.92 |
Omega ratioGain probability vs. loss probability | 1.32 | 1.21 | +0.11 |
Calmar ratioReturn relative to maximum drawdown | 2.81 | 1.39 | +1.42 |
Martin ratioReturn relative to average drawdown | 11.81 | 6.43 | +5.38 |
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 | |
|---|---|---|---|---|---|---|
MOAT VanEck Vectors Morningstar Wide Moat ETF | 28 | 0.55 | 0.93 | 1.12 | 0.88 | 3.23 |
VGT Vanguard Information Technology ETF | 58 | 1.10 | 1.67 | 1.23 | 1.88 | 5.72 |
SMH VanEck Semiconductor ETF | 94 | 2.28 | 2.89 | 1.41 | 5.34 | 18.94 |
ICLN iShares Global Clean Energy ETF | 92 | 2.27 | 2.91 | 1.37 | 5.35 | 14.89 |
IBB iShares Nasdaq Biotechnology ETF | 78 | 1.43 | 2.01 | 1.26 | 3.13 | 11.12 |
VIG Vanguard Dividend Appreciation ETF | 43 | 0.84 | 1.28 | 1.19 | 1.24 | 5.41 |
BOTZ Global X Robotics & Artificial Intelligence Thematic ETF | 30 | 0.59 | 1.05 | 1.13 | 0.90 | 3.20 |
Loading graphics...
Dividends
Dividend yield
ai-portfolio provided a 0.85% dividend yield over the last twelve months.
| TTM | 2025 | 2024 | 2023 | 2022 | 2021 | 2020 | 2019 | 2018 | 2017 | 2016 | 2015 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Portfolio | 0.85% | 0.85% | 0.87% | 0.81% | 0.91% | 0.72% | 0.72% | 1.14% | 1.61% | 1.13% | 1.33% | 1.43% |
| Portfolio components: | ||||||||||||
MOAT VanEck Vectors Morningstar Wide Moat ETF | 1.45% | 1.36% | 1.37% | 0.86% | 1.25% | 1.08% | 1.46% | 1.31% | 1.79% | 1.07% | 1.17% | 2.13% |
VGT Vanguard Information Technology ETF | 0.43% | 0.40% | 0.60% | 0.65% | 0.91% | 0.64% | 0.82% | 1.11% | 1.29% | 0.99% | 1.31% | 1.28% |
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% |
ICLN iShares Global Clean Energy ETF | 1.48% | 1.63% | 1.85% | 1.59% | 0.89% | 1.18% | 0.34% | 1.36% | 2.77% | 2.49% | 3.88% | 2.36% |
IBB iShares Nasdaq Biotechnology ETF | 0.23% | 0.23% | 0.29% | 0.26% | 0.31% | 0.21% | 0.21% | 0.33% | 0.20% | 0.30% | 0.19% | 0.03% |
VIG Vanguard Dividend Appreciation ETF | 1.60% | 1.62% | 1.73% | 1.88% | 1.96% | 1.55% | 1.63% | 1.71% | 2.08% | 1.88% | 2.14% | 2.34% |
BOTZ Global X Robotics & Artificial Intelligence Thematic ETF | 0.71% | 0.66% | 0.13% | 0.20% | 0.23% | 0.16% | 0.19% | 0.83% | 1.44% | 0.01% | 0.06% | 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 ai-portfolio. 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 ai-portfolio was 33.21%, occurring on Oct 14, 2022. Recovery took 345 trading sessions.
The current ai-portfolio drawdown is 7.23%.
Depth | Start | To Bottom | Bottom | To Recover | End | Total |
|---|---|---|---|---|---|---|
| -33.21% | Nov 9, 2021 | 235 | Oct 14, 2022 | 345 | Mar 1, 2024 | 580 |
| -31.96% | Feb 20, 2020 | 23 | Mar 23, 2020 | 53 | Jun 8, 2020 | 76 |
| -22.51% | Nov 8, 2024 | 102 | Apr 8, 2025 | 54 | Jun 26, 2025 | 156 |
| -20.91% | Jan 29, 2018 | 229 | Dec 24, 2018 | 66 | Apr 1, 2019 | 295 |
| -12.12% | Feb 16, 2021 | 15 | Mar 8, 2021 | 103 | Aug 3, 2021 | 118 |
Volatility
Volatility Chart
The chart below shows the rolling one-month volatility.
Loading graphics...
Diversification
Diversification Metrics
Number of Effective Assets
The portfolio contains 7 assets, with an effective number of assets of 6.90, reflecting the diversification based on asset allocation. This number of effective assets indicates a moderate level of diversification, where some assets may have a more significant influence on overall performance.
Asset Correlations Table
| Benchmark | ICLN | IBB | SMH | VIG | BOTZ | MOAT | VGT | Portfolio | |
|---|---|---|---|---|---|---|---|---|---|
| Benchmark | 1.00 | 0.59 | 0.63 | 0.78 | 0.91 | 0.79 | 0.87 | 0.90 | 0.91 |
| ICLN | 0.59 | 1.00 | 0.51 | 0.53 | 0.53 | 0.60 | 0.56 | 0.57 | 0.74 |
| IBB | 0.63 | 0.51 | 1.00 | 0.52 | 0.59 | 0.59 | 0.66 | 0.58 | 0.74 |
| SMH | 0.78 | 0.53 | 0.52 | 1.00 | 0.64 | 0.75 | 0.65 | 0.88 | 0.87 |
| VIG | 0.91 | 0.53 | 0.59 | 0.64 | 1.00 | 0.68 | 0.86 | 0.75 | 0.80 |
| BOTZ | 0.79 | 0.60 | 0.59 | 0.75 | 0.68 | 1.00 | 0.72 | 0.79 | 0.88 |
| MOAT | 0.87 | 0.56 | 0.66 | 0.65 | 0.86 | 0.72 | 1.00 | 0.73 | 0.84 |
| VGT | 0.90 | 0.57 | 0.58 | 0.88 | 0.75 | 0.79 | 0.73 | 1.00 | 0.90 |
| Portfolio | 0.91 | 0.74 | 0.74 | 0.87 | 0.80 | 0.88 | 0.84 | 0.90 | 1.00 |