Asset Allocation
Find the right asset allocation for Tactical
Add portfolio to the optimizer to find optimal allocations for your target — whether that's maximizing returns, minimizing drawdowns, or balancing risk across holdings.
Open Portfolio OptimizerPerformance
Performance Chart
The chart shows the growth of an initial investment of $10,000 in Tactical , 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 charts...
Returns By Period
| Position | 1D | 1M | 6M | YTD | 1Y | 3Y* | 5Y* | 10Y* | ALL TIME* |
|---|---|---|---|---|---|---|---|---|---|
Benchmark S&P 500 Index | -0.19% | -0.76% | 7.25% | 8.73% | 18.21% | 17.95% | 11.30% | 13.09% | 8.08% |
Portfolio Tactical | -0.06% | -1.26% | 7.49% | 11.63% | — | — | — | — | — |
| Portfolio components: | |||||||||
ALLW State Street Bridgewater All Weather ETF | -0.40% | -1.65% | 2.45% | 5.93% | 16.86% | — | — | — | 15.79% |
CLSE Convergence Long/Short Equity ETF | -0.09% | -1.46% | 21.37% | 23.23% | 44.70% | 29.50% | — | — | 20.34% |
DYMIX Dynamic Alpha Macro Fund Institutional | 0.00% | -1.53% | -2.62% | 3.51% | 17.12% | — | — | — | 21.61% |
IALT iShares Systematic Alternatives Active ETF | 0.29% | 0.54% | 10.48% | 12.79% | — | — | — | — | — |
LALT First Trust Multi-Strategy Alternative ETF | 0.12% | -0.29% | 5.88% | 8.39% | 16.98% | 9.23% | — | — | 8.29% |
MOOD Relative Sentiment Tactical Allocation ETF | -0.26% | -2.03% | 6.31% | 12.81% | 30.11% | 18.95% | — | — | 15.16% |
QNZNX AQR Trend Total Return Fund | -0.50% | -1.53% | 8.92% | 12.79% | 29.54% | 27.41% | — | — | 21.52% |
Monthly Returns
Based on dividend-adjusted daily data since Dec 10, 2025, Tactical 's average daily return is +0.09%, while the average monthly return is +1.63%. At this rate, an investment would double in approximately 3.6 years.
Historically, 75% of months were positive and 25% were negative. The best month was Jan 2026 with a return of +6.1%, while the worst month was Mar 2026 at -2.8%. The longest winning streak lasted 3 consecutive months, and the longest losing streak was 1 months.
On a daily basis, Tactical closed higher 60% of trading days. The best single day was Feb 6, 2026 with a return of +1.7%, while the worst single day was Jan 30, 2026 at -2.6%.
| Jan | Feb | Mar | Apr | May | Jun | Jul | Aug | Sep | Oct | Nov | Dec | Total | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2026 | 6.10% | 3.13% | -2.79% | 4.58% | 2.27% | -1.89% | 0.02% | 11.63% | |||||
| 2025 | 1.59% | 1.59% |
Benchmark Metrics
Tactical has an annualized alpha of 14.71%, beta of 0.52, and R2 of 0.51 versus S&P 500 Index. Calculated based on daily prices since December 10, 2025.
- This portfolio participates in less of S&P 500 Index's moves in both directions, but captures a larger share of gains (83.94%) than losses (22.67%) - typical of diversified or defensive assets.
- This portfolio generated an annualized alpha of 14.71% versus S&P 500 Index - delivering returns beyond what market exposure alone would predict.
- Beta of 0.52 indicates this portfolio moves significantly less than S&P 500 Index - a genuinely defensive profile with reduced participation in both market rallies and downturns.
- Alpha
- 14.71%
- Beta
- 0.52
- R²
- 0.51
- Upside Capture
- 83.94%
- Downside Capture
- 22.67%
Expense Ratio
Tactical has a high expense ratio of 1.32%, indicating above-average management fees. Below, you can find the expense ratios of the portfolio's funds side by side and easily compare their relative costs.
Return for Risk
Return / Risk — by metrics
The table below presents risk-adjusted performance metrics for Tactical and compares them with S&P 500 Index.
Values are calculated on a 1-year rolling basis and updated daily. Risk-adjusted metrics are more stable over longer periods — use the period switch above to explore them.
| Portfolio | Benchmark | Difference | |
|---|---|---|---|
| Sharpe ratioReturn per unit of total volatility | — | 1.45 | — |
| Sortino ratioReturn per unit of downside risk | — | 2.03 | — |
| Omega ratioGain probability vs. loss probability | — | 1.26 | — |
| Calmar ratioReturn relative to maximum drawdown | — | 2.01 | — |
| Martin ratioReturn relative to average drawdown | — | 8.68 | — |
How much return does each position deliver for the risk it carries? Higher values mean better reward for the risk taken.
| Position | Risk / Return Rank | Sharpe ratio | Sortino ratio | Omega ratio | Calmar ratio | Martin ratio |
|---|---|---|---|---|---|---|
ALLW State Street Bridgewater All Weather ETF | 62 | 1.52 | 2.06 | 1.27 | 2.34 | 8.34 |
CLSE Convergence Long/Short Equity ETF | 96 | 3.27 | 4.41 | 1.56 | 9.26 | 32.04 |
DYMIX Dynamic Alpha Macro Fund Institutional | 24 | 1.16 | 1.65 | 1.21 | 1.30 | 2.55 |
IALT iShares Systematic Alternatives Active ETF | — | — | — | — | — | — |
LALT First Trust Multi-Strategy Alternative ETF | 91 | 2.44 | 3.38 | 1.47 | 4.59 | 13.84 |
MOOD Relative Sentiment Tactical Allocation ETF | 79 | 2.06 | 2.48 | 1.40 | 3.12 | 9.45 |
QNZNX AQR Trend Total Return Fund | 90 | 2.61 | 3.38 | 1.46 | 4.55 | 15.63 |
Loading charts...
Dividends
Dividend yield
Tactical provided a 1.98% dividend yield over the last twelve months.
| Position | TTM | 2025 | 2024 | 2023 | 2022 |
|---|---|---|---|---|---|
| Portfolio | 1.98% | 1.85% | 5.60% | 6.74% | 0.91% |
| Portfolio components: | |||||
ALLW State Street Bridgewater All Weather ETF | 4.41% | 4.67% | 0.00% | 0.00% | 0.00% |
CLSE Convergence Long/Short Equity ETF | 0.77% | 0.95% | 0.93% | 1.21% | 0.85% |
DYMIX Dynamic Alpha Macro Fund Institutional | 6.59% | 6.82% | 7.12% | 0.42% | 0.00% |
IALT iShares Systematic Alternatives Active ETF | 0.40% | 0.14% | 0.00% | 0.00% | 0.00% |
LALT First Trust Multi-Strategy Alternative ETF | 3.74% | 2.03% | 2.06% | 2.44% | 0.00% |
MOOD Relative Sentiment Tactical Allocation ETF | 0.36% | 0.40% | 1.33% | 1.34% | 1.43% |
QNZNX AQR Trend Total Return Fund | 0.76% | 0.86% | 16.46% | 23.14% | 2.04% |
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 charts...
Worst Drawdowns
The table below displays the maximum drawdowns of the Tactical . 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 Tactical was 4.00%, occurring on Mar 30, 2026. Recovery took 13 trading sessions.
The current Tactical drawdown is 2.89%.
Drawdown | Fall | Recovery | Underwater | Related event |
|---|---|---|---|---|
-4.00%Mar 2026 | 1mo 2d | 18d | 1mo 20dFeb 2026 - Apr 2026 | — |
-3.58%Jun 2026 | 23d | — | 1mo 18dJun 2026 - now | — |
-3.19%Feb 2026 | 6d | 20d | 26dJan 2026 - Feb 2026 | — |
-1.30%Dec 2025 | 2d | 5d | 7dDec 2025 - Jan 2026 | — |
-1.22%May 2026 | 5d | 13d | 18dMay 2026 - Jun 2026 | — |
Volatility
Volatility Chart
The chart below shows the rolling one-month volatility.
Loading charts...
Diversification
Diversification Metrics
Number of Effective Assets
The portfolio contains 7 assets, with an effective number of assets of 5.94, 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
All Time | |
|---|---|
Diversification Ratio | 1.27 |
The portfolio has a diversification ratio of 1.27, in line with the typical range across portfolios. There's room to improve by adding less correlated assets.
Tactical correlation to the S&P 500 Index
| Correlation | |
|---|---|
Correlation (All Time) Calculated using the full available price history since Dec 10, 2025 | 0.73 |
Benchmark Correlations
Correlation vs. S&P 500 Index. CLSE has the highest benchmark correlation at 0.73, while LALT has the lowest at 0.24.
Asset Correlations Table
Find what Tactical is missing
See which holdings overlap, where Tactical is concentrated, and which low-correlation assets could fill the gaps.
Analyze Diversification