Asset Allocation
| Position | Category/Sector | Target Weight |
|---|---|---|
GE General Electric Company | Industrials | 33.33% |
CSX CSX Corporation | Industrials | 33.33% |
YETI YETI Holdings, Inc. | Consumer Cyclical | 33.33% |
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Performance Chart
The chart shows the growth of an initial investment of $10,000 in CMILL Strict, 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 | 6M | YTD | 1Y | 3Y* | 5Y* | 10Y* |
|---|---|---|---|---|---|---|---|---|
Benchmark S&P 500 Index | 0.42% | 2.45% | 8.74% | 10.66% | 21.02% | 19.50% | 11.63% | 13.41% |
Portfolio CMILL Strict | -0.23% | 2.80% | 17.33% | 22.50% | 49.39% | 29.04% | 14.65% | — |
| Portfolio components: | ||||||||
CSX CSX Corporation | 0.12% | 4.32% | 41.26% | 37.17% | 46.94% | 15.16% | 10.68% | 20.24% |
GE General Electric Company | 0.06% | 8.10% | 12.02% | 16.95% | 41.37% | 60.23% | 41.19% | 10.02% |
YETI YETI Holdings, Inc. | -0.87% | -3.49% | -0.87% | 10.73% | 52.42% | 7.00% | -11.80% | — |
Monthly Returns
Based on dividend-adjusted daily data since Oct 25, 2018, CMILL Strict's average daily return is +0.10%, while the average monthly return is +2.13%. At this rate, an investment would double in approximately 2.7 years.
Historically, 61% of months were positive and 39% were negative. The best month was Nov 2020 with a return of +27.1%, while the worst month was Mar 2020 at -26.8%. The longest winning streak lasted 6 consecutive months, and the longest losing streak was 4 months.
On a daily basis, CMILL Strict closed higher 53% of trading days. The best single day was Mar 24, 2020 with a return of +16.8%, while the worst single day was Mar 16, 2020 at -14.7%.
| Jan | Feb | Mar | Apr | May | Jun | Jul | Aug | Sep | Oct | Nov | Dec | Total | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2026 | 2.42% | 6.81% | -12.03% | 6.88% | 10.94% | 7.75% | -0.38% | 22.50% | |||||
| 2025 | 6.85% | -1.39% | -5.84% | -5.88% | 14.40% | 3.90% | 10.37% | -3.69% | 3.96% | 2.20% | 5.53% | 4.25% | 37.89% |
| 2024 | -2.75% | 7.00% | 2.68% | -0.84% | 5.80% | -3.70% | 6.83% | -0.63% | 3.61% | -8.57% | 9.78% | -8.29% | 9.29% |
| 2023 | 10.43% | -2.58% | 5.48% | 1.49% | -1.35% | 8.57% | 3.82% | 3.27% | -2.01% | -5.54% | 7.18% | 10.60% | 45.08% |
| 2022 | -9.96% | -1.61% | 1.08% | -15.04% | -3.02% | -11.10% | 14.86% | -9.88% | -17.57% | 15.77% | 20.77% | -5.36% | -25.95% |
| 2021 | -3.49% | 9.76% | 5.10% | 7.64% | 3.02% | -0.56% | 0.57% | 1.94% | -8.27% | 12.75% | -6.37% | -0.48% | 21.30% |
Benchmark Metrics
CMILL Strict has an annualized alpha of 7.37%, beta of 1.18, and R2 of 0.57 versus S&P 500 Index. Calculated based on daily prices since October 25, 2018.
- This portfolio captured 172.22% of S&P 500 Index gains and 134.07% of its losses - amplifying both gains and losses, but participating more in upside than downside.
- This portfolio generated an annualized alpha of 7.37% versus S&P 500 Index - delivering returns beyond what market exposure alone would predict.
- Alpha
- 7.37%
- Beta
- 1.18
- R²
- 0.57
- Upside Capture
- 172.22%
- Downside Capture
- 134.07%
Expense Ratio
CMILL Strict 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
CMILL Strict ranks 64 for risk / return — better than 64% 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
The table below presents risk-adjusted performance metrics for CMILL Strict 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 | 2.12 | 1.65 | +0.47 |
| Sortino ratioReturn per unit of downside risk | 2.89 | 2.28 | +0.61 |
| Omega ratioGain probability vs. loss probability | 1.35 | 1.30 | +0.05 |
| Calmar ratioReturn relative to maximum drawdown | 2.94 | 2.28 | +0.66 |
| Martin ratioReturn relative to average drawdown | 9.06 | 9.88 | -0.82 |
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 |
|---|---|---|---|---|---|---|
CSX CSX Corporation | 92 | 2.21 | 3.02 | 1.39 | 4.18 | 11.10 |
GE General Electric Company | 80 | 1.36 | 1.90 | 1.24 | 2.07 | 5.59 |
YETI YETI Holdings, Inc. | 76 | 1.16 | 1.80 | 1.21 | 1.63 | 3.57 |
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Dividends
Dividend yield
CMILL Strict provided a 0.52% dividend yield over the last twelve months.
| Position | TTM | 2025 | 2024 | 2023 | 2022 | 2021 | 2020 | 2019 | 2018 | 2017 | 2016 | 2015 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Portfolio | 0.52% | 0.63% | 0.72% | 0.51% | 0.56% | 0.44% | 0.51% | 1.82% | 2.10% | 2.08% | 1.65% | 1.88% |
| Portfolio components: | ||||||||||||
CSX CSX Corporation | 1.09% | 1.43% | 1.49% | 1.27% | 1.29% | 0.99% | 1.15% | 1.33% | 1.42% | 1.42% | 2.00% | 2.70% |
GE General Electric Company | 0.46% | 0.47% | 0.67% | 0.25% | 0.38% | 0.34% | 0.37% | 4.12% | 4.89% | 4.81% | 2.94% | 2.95% |
YETI YETI Holdings, 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% |
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 CMILL Strict. 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 CMILL Strict was 49.91%, occurring on Mar 23, 2020. Recovery took 144 trading sessions.
The current CMILL Strict drawdown is 1.73%.
Related event | Drawdown | Fall | Recovery | Underwater |
|---|---|---|---|---|
COVID crash2020 | -49.91%Mar 2020 | 1mo 16d | 6mo 26d | 8mo 12dFeb 2020 - Oct 2020 |
Bear market2022 | -49.80%Sep 2022 | 10mo 24d | 1y 4mo | 2y 3moNov 2021 - Feb 2024 |
Rate-hike selloffLate 2018 | -26.32%Dec 2018 | 2mo | 1mo 13d | 3mo 13dOct 2018 - Feb 2019 |
2025 selloff2025 | -22.95%Apr 2025 | 5mo 26d | 2mo 23d | 8mo 19dOct 2024 - Jun 2025 |
2019 bear market2019 | -22.03%Aug 2019 | 3mo 24d | 4mo 3d | 7mo 27dMay 2019 - Dec 2019 |
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. Your capital is spread almost evenly across your holdings, indicating a well-balanced allocation. Note that true diversification also depends on the correlations between assets — check the diversification ratio below.
Diversification Ratio
1Y | 3Y | 5Y | All Time | |
|---|---|---|---|---|
Diversification Ratio | 1.37 | 1.35 | 1.30 | 1.29 |
The portfolio has a diversification ratio of 1.29, in line with the typical range across portfolios. There's room to improve by adding less correlated assets.
CMILL Strict correlation to the S&P 500 Index
| Correlation | |
|---|---|
Correlation (1Y) Calculated over the trailing 1-year period | 0.56 |
Correlation (3Y) Calculated over the trailing 3-year period | 0.61 |
Correlation (5Y) Calculated over the trailing 5-year period | 0.70 |
Correlation (All Time) Calculated using the full available price history since Oct 25, 2018 | 0.68 |
Benchmark Correlations
Correlation vs. S&P 500 Index. CSX has the highest benchmark correlation at 0.60, while YETI has the lowest at 0.50.
Asset Correlations Table
Find what CMILL Strict is missing
See which holdings overlap, where CMILL Strict is concentrated, and which low-correlation assets could fill the gaps.
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