Asset Allocation
| Position | Category/Sector | Target Weight |
|---|---|---|
UGL ProShares Ultra Gold | Leveraged Commodities | 25% |
SPXL Direxion Daily S&P 500 Bull 3X ETF | Leveraged Equities, S&P 500 | 25% |
MLPR ETRACS Quarterly Pay 1.5x Leveraged Alerian MLP Index ETN | Leveraged Equities | 25% |
FNGU MicroSectors FANG+ 3X Leveraged ETNs | Leveraged Equities | 25% |
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Performance Chart
The chart shows the growth of an initial investment of $10,000 in Leveraged Core, 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 year.
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Returns By Period
| Position | 1D | 1M | YTD | 6M | 1Y | 3Y* | 5Y* | 10Y* |
|---|---|---|---|---|---|---|---|---|
Benchmark S&P 500 Index | -2.64% | -0.21% | 7.86% | 7.47% | 23.05% | 19.90% | 11.79% | 13.33% |
Portfolio Leveraged Core | -8.11% | -5.66% | 12.19% | 8.84% | 48.09% | — | — | — |
| Portfolio components: | ||||||||
FNGU MicroSectors FANG+ 3X Leveraged ETNs | -16.08% | -7.57% | 6.85% | -9.40% | 26.18% | — | — | — |
MLPR ETRACS Quarterly Pay 1.5x Leveraged Alerian MLP Index ETN | -1.39% | 1.74% | 30.22% | 26.02% | 32.71% | 32.03% | 26.97% | — |
SPXL Direxion Daily S&P 500 Bull 3X ETF | -7.89% | -1.13% | 19.30% | 17.30% | 66.92% | 49.22% | 21.75% | 29.03% |
UGL ProShares Ultra Gold | -7.30% | -17.17% | -7.82% | -3.83% | 46.42% | 49.47% | 25.50% | 17.75% |
Monthly Returns
Based on dividend-adjusted daily data since Feb 21, 2025, Leveraged Core's average daily return is +0.14%, while the average monthly return is +2.46%. At this rate, an investment would double in approximately 2.4 years.
Historically, 65% of months were positive and 35% were negative. The best month was Apr 2026 with a return of +17.2%, while the worst month was Mar 2026 at -13.0%. The longest winning streak lasted 7 consecutive months, and the longest losing streak was 3 months.
On a daily basis, Leveraged Core closed higher 57% of trading days. The best single day was Apr 9, 2025 with a return of +15.8%, while the worst single day was Apr 4, 2025 at -11.7%.
| Jan | Feb | Mar | Apr | May | Jun | Jul | Aug | Sep | Oct | Nov | Dec | Total | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2026 | 6.64% | 2.78% | -12.96% | 17.24% | 10.73% | -9.42% | 12.19% | ||||||
| 2025 | -8.70% | -6.37% | -1.27% | 10.07% | 9.80% | 2.49% | 3.67% | 11.55% | 5.98% | 2.64% | -3.08% | 27.46% |
Benchmark Metrics
Leveraged Core has an annualized alpha of 7.11%, beta of 1.68, and R2 of 0.72 versus S&P 500 Index. Calculated based on daily prices since February 21, 2025.
- This portfolio captured 271.36% of S&P 500 Index gains and 189.01% of its losses - amplifying both gains and losses, but participating more in upside than downside.
- This portfolio generated an annualized alpha of 7.11% versus S&P 500 Index - delivering returns beyond what market exposure alone would predict.
- Beta of 1.68 means this portfolio moves significantly more than S&P 500 Index - expect amplified gains in rallies and amplified losses in downturns.
- Alpha
- 7.11%
- Beta
- 1.68
- R²
- 0.72
- Upside Capture
- 271.36%
- Downside Capture
- 189.01%
Expense Ratio
Leveraged Core has a high expense ratio of 1.34%, 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
Risk / Return Rank
Leveraged Core ranks 22 for risk / return — below 22% of Portfolios on our site. The returns aren't fully compensating for the risk involved. This isn't necessarily a dealbreaker, but factor it into your decision — especially if you're risk-averse.
Return / Risk — by metrics
The table below presents risk-adjusted performance metrics for Leveraged Core and compares them with S&P 500 Index.
| Portfolio | Benchmark | Difference | |
|---|---|---|---|
| Sharpe ratioReturn per unit of total volatility | 1.68 | 2.01 | -0.33 |
| Sortino ratioReturn per unit of downside risk | 2.10 | 2.71 | -0.61 |
| Omega ratioGain probability vs. loss probability | 1.30 | 1.36 | -0.06 |
| Calmar ratioReturn relative to maximum drawdown | 2.21 | 2.69 | -0.47 |
| Martin ratioReturn relative to average drawdown | 8.27 | 12.34 | -4.07 |
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.
| Position | Risk / Return Rank | Sharpe ratio | Sortino ratio | Omega ratio | Calmar ratio | Martin ratio |
|---|---|---|---|---|---|---|
FNGU MicroSectors FANG+ 3X Leveraged ETNs | 18 | 0.47 | 1.00 | 1.13 | 0.47 | 1.14 |
MLPR ETRACS Quarterly Pay 1.5x Leveraged Alerian MLP Index ETN | 53 | 1.71 | 2.26 | 1.29 | 2.51 | 8.03 |
SPXL Direxion Daily S&P 500 Bull 3X ETF | 62 | 1.99 | 2.43 | 1.33 | 2.70 | 11.35 |
UGL ProShares Ultra Gold | 25 | 0.80 | 1.26 | 1.19 | 1.06 | 2.56 |
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Dividends
Dividend yield
Leveraged Core provided a 2.38% dividend yield over the last twelve months.
| Position | TTM | 2025 | 2024 | 2023 | 2022 | 2021 | 2020 | 2019 | 2018 | 2017 |
|---|---|---|---|---|---|---|---|---|---|---|
| Portfolio | 2.38% | 2.88% | 2.58% | 2.76% | 1.95% | 2.70% | 1.11% | 0.21% | 0.25% | 0.97% |
| Portfolio components: | ||||||||||
FNGU MicroSectors FANG+ 3X Leveraged ETNs | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% |
MLPR ETRACS Quarterly Pay 1.5x Leveraged Alerian MLP Index ETN | 8.98% | 10.85% | 9.57% | 10.08% | 7.49% | 10.69% | 4.21% | 0.00% | 0.00% | 0.00% |
SPXL Direxion Daily S&P 500 Bull 3X ETF | 0.56% | 0.69% | 0.74% | 0.98% | 0.32% | 0.11% | 0.22% | 0.84% | 1.02% | 3.88% |
UGL ProShares Ultra Gold | 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 Leveraged Core. 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 Leveraged Core was 32.82%, occurring on Apr 8, 2025. Recovery took 54 trading sessions.
The current Leveraged Core drawdown is 10.67%.
Related event | Drawdown | Fall | Recovery | Underwater |
|---|---|---|---|---|
2025 selloff2025 | -32.82%Apr 2025 | 1mo 16d | 2mo 19d | 4mo 5dFeb 2025 - Jun 2025 |
2026 bear market2026 | -22.19%Mar 2026 | 2mo | 1mo 7d | 3mo 7dJan 2026 - May 2026 |
2026 correction2026 | -10.67%Jun 2026 | 2d | — | 6d 2hJun 2026 - now |
2025 pullback2025 | -9.76%Nov 2025 | 1mo | 1mo 3d | 2mo 3dOct 2025 - Dec 2025 |
2026 pullback2026 | -6.29%Jan 2026 | 4d | 20d | 24dDec 2025 - Jan 2026 |
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 4 assets, with an effective number of assets of 4.00, 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 | All Time | |
|---|---|---|
Diversification Ratio | 1.44 | 1.35 |
The portfolio has a diversification ratio of 1.35, in line with the typical range across portfolios. There's room to improve by adding less correlated assets.
Leveraged Core correlation to the S&P 500 Index
| Correlation | |
|---|---|
Correlation (1Y) Calculated over the trailing 1-year period | 0.79 |
Correlation (All Time) Calculated using the full available price history since Feb 21, 2025 | 0.79 |
Benchmark Correlations
Correlation vs. S&P 500 Index. SPXL has the highest benchmark correlation at 1.00, while UGL has the lowest at 0.09.
Asset Correlations Table
Find what Leveraged Core is missing
See which holdings overlap, where Leveraged Core is concentrated, and which low-correlation assets could fill the gaps.
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