Asset Allocation
| Position | Category/Sector | Target Weight |
|---|---|---|
MATH Metalpha Technology Holding Limited | Financial Services | 33.30% |
SBR Sabine Royalty Trust | Energy | 33.30% |
WINA Winmark Corporation | Consumer Cyclical | 33.40% |
Performance
Performance Chart
The chart shows the growth of an initial investment of $10,000 in kill, 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 never rebalanced.
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The earliest data available for this chart is Oct 20, 2017, corresponding to the inception date of MATH
Returns By Period
| 1D | 1M | YTD | 6M | 1Y | 3Y* | 5Y* | 10Y* | |
|---|---|---|---|---|---|---|---|---|
Benchmark S&P 500 Index | 0.44% | -1.90% | -3.41% | -1.53% | 30.61% | 17.22% | 10.14% | 12.44% |
Portfolio kill | -0.87% | 0.29% | 6.12% | -6.53% | 31.47% | 10.49% | 24.36% | — |
| Portfolio components: | ||||||||
WINA Winmark Corporation | -1.99% | -1.74% | 4.41% | -13.80% | 34.36% | 12.88% | 21.23% | 17.32% |
SBR Sabine Royalty Trust | 0.29% | 2.72% | 10.49% | 3.35% | 29.82% | 8.34% | 30.37% | 18.52% |
MATH Metalpha Technology Holding Limited | 0.00% | -10.00% | -48.57% | -72.16% | -31.21% | 5.11% | -7.09% | — |
Monthly Returns
Based on dividend-adjusted daily data since Oct 23, 2017, kill's average daily return is +0.06%, while the average monthly return is +1.15%. At this rate, your investment would double in approximately 5.1 years.
Historically, 53% of months were positive and 47% were negative. The best month was Oct 2022 with a return of +17.7%, while the worst month was Mar 2020 at -29.7%. The longest winning streak lasted 5 consecutive months, and the longest losing streak was 3 months.
On a daily basis, kill closed higher 54% of trading days. The best single day was Apr 2, 2020 with a return of +7.9%, while the worst single day was Mar 16, 2020 at -12.5%.
| Jan | Feb | Mar | Apr | May | Jun | Jul | Aug | Sep | Oct | Nov | Dec | Total | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2026 | 7.83% | 1.18% | -1.67% | -1.07% | 6.12% | ||||||||
| 2025 | 1.24% | -7.27% | -0.47% | 5.44% | 11.15% | -5.35% | 0.00% | 17.36% | 8.00% | -14.42% | 5.82% | -6.79% | 10.89% |
| 2024 | -12.26% | 2.78% | -0.07% | -1.48% | 3.22% | -0.96% | 5.15% | -3.71% | 1.84% | -1.61% | 9.67% | -2.13% | -1.17% |
| 2023 | 7.58% | -4.86% | 2.95% | 4.75% | -4.64% | -0.86% | 6.59% | 1.62% | -1.09% | -0.90% | 9.29% | 3.11% | 24.83% |
| 2022 | 1.59% | 10.91% | -1.93% | 1.94% | 11.62% | -12.53% | 14.55% | 3.60% | -2.50% | 17.68% | -3.86% | 4.19% | 50.02% |
| 2021 | -2.72% | 4.64% | -0.29% | 7.09% | 2.35% | 5.76% | 4.37% | -1.75% | 6.59% | 4.63% | 5.59% | -1.15% | 40.42% |
Benchmark Metrics
kill has an annualized alpha of 5.73%, beta of 0.66, and R² of 0.26 versus S&P 500 Index. Calculated based on daily prices since October 23, 2017.
- This portfolio participates in less of S&P 500 Index's moves in both directions, but captures a larger share of gains (60.65%) than losses (51.07%) — typical of diversified or defensive assets.
- Beta of 0.66 may look defensive, but with R² of 0.26 this portfolio is largely uncorrelated with S&P 500 Index — low beta reflects independence, not downside protection. See the Volatility section for a true picture of this portfolio's risk.
- R² of 0.26 means this portfolio moves largely independently of S&P 500 Index — capture ratios reflect limited market correlation rather than active downside protection. Consider using a more representative benchmark.
- Alpha
- 5.73%
- Beta
- 0.66
- R²
- 0.26
- Upside Capture
- 60.65%
- Downside Capture
- 51.07%
Expense Ratio
kill has an expense ratio of 0.00%, meaning no management fees are charged. 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
kill ranks 19 for risk / return — in the bottom 19% of portfolios on our site. This means you're taking on significantly more risk than the returns justify. Consider whether the potential upside is worth the volatility, or explore alternatives with better risk / return profiles.
Return / Risk — by metrics
| Portfolio | Benchmark | Difference | |
|---|---|---|---|
Sharpe ratioReturn per unit of total volatility | 1.34 | 1.84 | -0.51 |
Sortino ratioReturn per unit of downside risk | 1.79 | 2.97 | -1.19 |
Omega ratioGain probability vs. loss probability | 1.24 | 1.40 | -0.16 |
Calmar ratioReturn relative to maximum drawdown | 1.37 | 1.82 | -0.45 |
Martin ratioReturn relative to average drawdown | 2.53 | 7.76 | -5.22 |
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 | |
|---|---|---|---|---|---|---|
WINA Winmark Corporation | 64 | 0.98 | 1.39 | 1.18 | 1.44 | 2.79 |
SBR Sabine Royalty Trust | 67 | 1.23 | 1.68 | 1.23 | 0.96 | 2.06 |
MATH Metalpha Technology Holding Limited | 22 | -0.35 | 0.03 | 1.00 | -0.56 | -1.13 |
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Dividends
Dividend yield
kill provided a 3.26% dividend yield over the last twelve months.
| TTM | 2025 | 2024 | 2023 | 2022 | 2021 | 2020 | 2019 | 2018 | 2017 | 2016 | 2015 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Portfolio | 3.26% | 3.64% | 3.74% | 4.13% | 4.16% | 3.79% | 3.00% | 2.65% | 3.11% | 1.88% | 1.93% | 4.03% |
| Portfolio components: | ||||||||||||
WINA Winmark Corporation | 3.28% | 3.40% | 2.80% | 2.99% | 2.35% | 3.67% | 0.43% | 0.45% | 0.35% | 0.33% | 0.29% | 0.29% |
SBR Sabine Royalty Trust | 6.50% | 7.53% | 8.41% | 9.41% | 10.13% | 7.72% | 8.59% | 7.49% | 8.98% | 5.31% | 5.50% | 11.82% |
MATH Metalpha Technology Holding Limited | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 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 kill. 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 kill was 43.64%, occurring on Apr 1, 2020. Recovery took 325 trading sessions.
The current kill drawdown is 12.17%.
Depth | Start | To Bottom | Bottom | To Recover | End | Total |
|---|---|---|---|---|---|---|
| -43.64% | Oct 23, 2017 | 614 | Apr 1, 2020 | 325 | Jul 16, 2021 | 939 |
| -22.91% | Jun 8, 2022 | 19 | Jul 6, 2022 | 46 | Sep 9, 2022 | 65 |
| -17.67% | Sep 29, 2025 | 24 | Oct 30, 2025 | — | — | — |
| -17.32% | Dec 11, 2023 | 59 | Mar 6, 2024 | 297 | May 13, 2025 | 356 |
| -14.76% | Sep 15, 2022 | 8 | Sep 26, 2022 | 8 | Oct 6, 2022 | 16 |
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 3 assets, with an effective number of assets of 3.00, 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 | MATH | SBR | WINA | Portfolio | |
|---|---|---|---|---|---|
| Benchmark | 1.00 | 0.07 | 0.26 | 0.37 | 0.40 |
| MATH | 0.07 | 1.00 | 0.06 | 0.02 | 0.22 |
| SBR | 0.26 | 0.06 | 1.00 | 0.15 | 0.69 |
| WINA | 0.37 | 0.02 | 0.15 | 1.00 | 0.71 |
| Portfolio | 0.40 | 0.22 | 0.69 | 0.71 | 1.00 |