Asset Allocation
| Position | Category/Sector | Target Weight |
|---|---|---|
VRNA Verona Pharma plc | Healthcare | 37.34% |
PVLA Palvella Therapeutics, Inc | Healthcare | 29.35% |
MRCY Mercury Systems, Inc. | Industrials | 21.45% |
MSFT Microsoft Corporation | Technology | 7.16% |
NVDA NVIDIA Corporation | Technology | 4.08% |
JPM JPMorgan Chase & Co. | Financial Services | 0.63% |
ZYME Zymeworks Inc. | Healthcare | 0% |
NTRA Natera, Inc. | Healthcare | 0% |
TTAN ServiceTitan, Inc | Technology | 0% |
TSEM Tower Semiconductor Ltd | Technology | 0% |
BRO Brown & Brown, Inc. | Financial Services | 0% |
QLYS Qualys, Inc. | Technology | 0% |
LCID Lucid Group, Inc. | Consumer Cyclical | 0% |
VST Vistra Corp. | Utilities | 0% |
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Performance Chart
The chart shows the growth of an initial investment of $10,000 in Guessing Sharpe-Optimised, 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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Returns By Period
| Position | 1D | 1M | YTD | 6M | 1Y | 3Y* | 5Y* | 10Y* |
|---|---|---|---|---|---|---|---|---|
Benchmark S&P 500 Index | -1.44% | -1.45% | 7.60% | 6.59% | 22.24% | 19.20% | 11.54% | 13.71% |
Portfolio Guessing Sharpe-Optimised | -0.34% | 3.41% | 14.29% | 14.99% | 126.23% | — | — | — |
| Portfolio components: | ||||||||
BRO Brown & Brown, Inc. | 3.71% | 4.46% | -23.82% | -24.07% | -45.06% | -2.44% | 3.28% | 13.98% |
JPM JPMorgan Chase & Co. | 0.80% | 9.06% | 4.70% | 3.51% | 22.41% | 37.10% | 19.98% | 22.02% |
LCID Lucid Group, Inc. | 0.58% | -11.13% | -50.90% | -55.37% | -75.97% | -54.39% | -53.87% | — |
MRCY Mercury Systems, Inc. | -0.80% | 12.50% | 51.86% | 47.69% | 113.91% | 47.05% | 10.77% | 16.46% |
MSFT Microsoft Corporation | 1.80% | -10.66% | -22.33% | -22.85% | -22.44% | 4.54% | 7.88% | 23.85% |
NTRA Natera, Inc. | 2.60% | 15.54% | 2.48% | -0.27% | 37.79% | 65.95% | 14.42% | 33.08% |
NVDA NVIDIA Corporation | -4.13% | -6.99% | 7.39% | 5.85% | 38.94% | 68.08% | 59.90% | 67.94% |
PVLA Palvella Therapeutics, Inc | -0.13% | 4.11% | 13.38% | 18.36% | 426.53% | — | — | — |
QLYS Qualys, Inc. | 3.52% | 9.73% | -15.48% | -19.23% | -19.98% | -3.38% | 2.00% | 14.09% |
TSEM Tower Semiconductor Ltd | -10.79% | -0.28% | 140.72% | 133.42% | 604.69% | 94.28% | 57.62% | 37.14% |
Monthly Returns
Based on dividend-adjusted daily data since Dec 16, 2024, Guessing Sharpe-Optimised's average daily return is +0.41%, while the average monthly return is +8.40%. At this rate, an investment would double in approximately 0.7 years.
Historically, 84% of months were positive and 16% were negative. The best month was Feb 2025 with a return of +24.2%, while the worst month was Mar 2026 at -7.4%. The longest winning streak lasted 13 consecutive months, and the longest losing streak was 1 months.
On a daily basis, Guessing Sharpe-Optimised closed higher 58% of trading days. The best single day was Feb 24, 2026 with a return of +10.7%, while the worst single day was Apr 1, 2025 at -7.1%.
| Jan | Feb | Mar | Apr | May | Jun | Jul | Aug | Sep | Oct | Nov | Dec | Total | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2026 | -2.84% | 15.15% | -7.43% | 4.03% | 7.84% | -1.62% | 14.29% | ||||||
| 2025 | 10.52% | 24.22% | 10.86% | 5.07% | 6.80% | 9.25% | 23.12% | 23.47% | 10.53% | 8.42% | 7.09% | 1.05% | 267.87% |
| 2024 | 4.08% | 4.08% |
Benchmark Metrics
Guessing Sharpe-Optimised has an annualized alpha of 148.09%, beta of 0.91, and R2 of 0.21 versus S&P 500 Index. Calculated based on daily prices since December 16, 2024.
- This portfolio captured 370.67% of S&P 500 Index gains and tended to rise during its downturns (downside capture of -392.08%) - a profile typical of hedging or uncorrelated assets.
- R2 of 0.21 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
- 148.09%
- Beta
- 0.91
- R²
- 0.21
- Upside Capture
- 370.67%
- Downside Capture
- -392.08%
Expense Ratio
Guessing Sharpe-Optimised 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
Guessing Sharpe-Optimised ranks 96 for risk / return — in the top 96% 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
The table below presents risk-adjusted performance metrics for Guessing Sharpe-Optimised 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 | 3.87 | 1.78 | +2.09 |
| Sortino ratioReturn per unit of downside risk | 4.60 | 2.44 | +2.16 |
| Omega ratioGain probability vs. loss probability | 1.57 | 1.32 | +0.24 |
| Calmar ratioReturn relative to maximum drawdown | 8.33 | 2.46 | +5.88 |
| Martin ratioReturn relative to average drawdown | 24.18 | 10.92 | +13.26 |
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 |
|---|---|---|---|---|---|---|
BRO Brown & Brown, Inc. | 4 | -1.58 | -2.34 | 0.70 | -0.89 | -1.46 |
JPM JPMorgan Chase & Co. | 68 | 1.02 | 1.45 | 1.19 | 1.46 | 3.43 |
LCID Lucid Group, Inc. | 6 | -0.98 | -2.19 | 0.77 | -0.90 | -1.31 |
MRCY Mercury Systems, Inc. | 87 | 2.01 | 2.62 | 1.37 | 3.56 | 8.87 |
MSFT Microsoft Corporation | 12 | -0.87 | -1.10 | 0.86 | -0.66 | -1.32 |
NTRA Natera, Inc. | 66 | 0.88 | 1.37 | 1.17 | 1.35 | 2.80 |
NVDA NVIDIA Corporation | 72 | 1.10 | 1.65 | 1.20 | 1.94 | 4.51 |
PVLA Palvella Therapeutics, Inc | 97 | 5.32 | 4.47 | 1.54 | 13.82 | 31.14 |
QLYS Qualys, Inc. | 25 | -0.44 | -0.39 | 0.95 | -0.40 | -0.81 |
TSEM Tower Semiconductor Ltd | 99 | 8.60 | 5.74 | 1.75 | 24.37 | 84.04 |
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Dividends
Dividend yield
Guessing Sharpe-Optimised provided a 0.08% dividend yield over the last twelve months.
| Position | TTM | 2025 | 2024 | 2023 | 2022 | 2021 | 2020 | 2019 | 2018 | 2017 | 2016 | 2015 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Portfolio | 0.08% | 0.06% | 0.07% | 0.07% | 0.10% | 0.07% | 0.09% | 0.11% | 0.16% | 0.16% | 0.20% | 0.23% |
| Portfolio components: | ||||||||||||
BRO Brown & Brown, Inc. | 1.07% | 0.77% | 0.53% | 0.67% | 0.74% | 0.54% | 0.73% | 0.82% | 1.11% | 1.08% | 1.12% | 1.41% |
JPM JPMorgan Chase & Co. | 1.77% | 1.72% | 1.92% | 2.38% | 2.98% | 2.34% | 2.83% | 2.37% | 2.54% | 1.91% | 2.13% | 2.54% |
LCID Lucid Group, Inc. | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% |
MRCY Mercury Systems, Inc. | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% |
MSFT Microsoft Corporation | 0.95% | 0.70% | 0.73% | 0.74% | 1.06% | 0.68% | 0.94% | 1.20% | 1.69% | 1.86% | 2.37% | 2.33% |
NTRA Natera, Inc. | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% |
NVDA NVIDIA Corporation | 0.14% | 0.02% | 0.03% | 0.03% | 0.11% | 0.05% | 0.12% | 0.27% | 0.46% | 0.29% | 0.45% | 1.20% |
PVLA Palvella Therapeutics, Inc | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% |
QLYS Qualys, Inc. | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% |
TSEM Tower Semiconductor Ltd | 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 Guessing Sharpe-Optimised. 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 Guessing Sharpe-Optimised was 18.17%, occurring on Apr 7, 2025. Recovery took 15 trading sessions.
The current Guessing Sharpe-Optimised drawdown is 2.19%.
Related event | Drawdown | Fall | Recovery | Underwater |
|---|---|---|---|---|
2025 selloff2025 | -18.17%Apr 2025 | 25d | 22d | 1mo 17dMar 2025 - Apr 2025 |
2026 correction2026 | -15.24%Mar 2026 | 1mo 1d | 2mo 6d | 3mo 7dFeb 2026 - Jun 2026 |
2026 correction2026 | -14.92%Feb 2026 | 20d | 20d | 1mo 10dJan 2026 - Feb 2026 |
2025 selloff2025 | -9.08%May 2025 | 4d | 18d | 22dMay 2025 - May 2025 |
2026 pullback2026 | -6.57%Jun 2026 | 5d | — | 19d 5hJun 2026 - now |
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 14 assets, with an effective number of assets of 3.59, reflecting the diversification based on asset allocation. Your portfolio is dominated by one or two holdings, which significantly increases concentration risk. Consider rebalancing toward more even weights or adding additional positions.
Diversification Ratio
1Y | All Time | |
|---|---|---|
Diversification Ratio | 1.56 | 1.59 |
The portfolio has a diversification ratio of 1.59, in line with the typical range across portfolios. There's room to improve by adding less correlated assets.
Guessing Sharpe-Optimised correlation to the S&P 500 Index
| Correlation | |
|---|---|
Correlation (1Y) Calculated over the trailing 1-year period | 0.50 |
Correlation (All Time) Calculated using the full available price history since Dec 16, 2024 | 0.45 |
Benchmark Correlations
Correlation vs. S&P 500 Index. NVDA has the highest benchmark correlation at 0.67, while BRO has the lowest at 0.05.
Asset Correlations Table
Find what Guessing Sharpe-Optimised is missing
See which holdings overlap, where Guessing Sharpe-Optimised is concentrated, and which low-correlation assets could fill the gaps.
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