LOHA vs. SPXM
LOHA (Roundhill HALO ETF) and SPXM (Azoria 500 Meritocracy ETF) are both Large Cap Blend Equities funds. LOHA is passively managed, while SPXM is actively managed. LOHA charges 0.35%/yr vs 0.47%/yr for SPXM.
Performance
LOHA vs. SPXM - Performance Comparison
Loading charts...
Returns By Period
LOHA
- 1D
- 2.19%
- 1M
- 1.16%
- 6M
- —
- YTD
- —
- 1Y
- —
- 3Y*
- —
- 5Y*
- —
- 10Y*
- —
SPXM
- 1D
- 0.00%
- 1M
- 0.00%
- 6M
- 0.00%
- YTD
- 0.00%
- 1Y
- 8.72%
- 3Y*
- —
- 5Y*
- —
- 10Y*
- —
LOHA vs. SPXM - Yearly Performance Comparison
| 2026 (YTD) | |
|---|---|
LOHA Roundhill HALO ETF | 4.07% |
SPXM Azoria 500 Meritocracy ETF | 0.00% |
Compare stocks, funds, or ETFs
Search for stocks, ETFs, and funds for a quick comparison or use the comparison tool for more options.
Return for Risk
LOHA vs. SPXM — Risk / Return Rank
LOHA
Risk / return metrics aren't available yet — we need at least 12 months of trading data to calculate them.
SPXM
LOHA vs. SPXM - Risk-Adjusted Trends Comparison
This table presents a comparison of risk-adjusted performance metrics for Roundhill HALO ETF (LOHA) and Azoria 500 Meritocracy ETF (SPXM). Risk-adjusted metrics are performance indicators that assess an investment's returns in relation to its risk, enabling a more accurate comparison of different investment options.
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.
| LOHA | SPXM | Difference | |
|---|---|---|---|
| Sharpe ratioReturn per unit of total volatility | — | — | |
| Sortino ratioReturn per unit of downside risk | — | — | |
| Omega ratioGain probability vs. loss probability | — | 1.39 | — |
| Calmar ratioReturn relative to maximum drawdown | — | 2.11 | — |
| Martin ratioReturn relative to average drawdown | — | 9.87 | — |
Loading charts...
Drawdowns
LOHA vs. SPXM - Drawdown Comparison
The maximum LOHA drawdown since its inception was -2.48%, smaller than the maximum SPXM drawdown of -5.08%. Use the drawdown chart below to compare losses from any high point for LOHA and SPXM.
Loading charts...
Drawdown Indicators
| LOHA | SPXM | Difference | |
|---|---|---|---|
Max DrawdownLargest peak-to-trough decline | -2.48% | -5.08% | +2.60% |
Max Drawdown (1Y)Largest decline over 1 year | — | -5.08% | — |
Current DrawdownCurrent decline from peak | 0.00% | -0.75% | +0.75% |
Average DrawdownAverage peak-to-trough decline | -0.87% | -0.78% | -0.09% |
Volatility
LOHA vs. SPXM - Volatility Comparison
Loading charts...
Volatility by Period
| LOHA | SPXM | Difference | |
|---|---|---|---|
Volatility (1M)Calculated over the trailing 1-month period | — | 0.00% | — |
Volatility (6M)Calculated over the trailing 6-month period | — | 3.78% | — |
Volatility (1Y)Calculated over the trailing 1-year period | 14.50% | 7.65% | +6.85% |
Volatility (5Y)Calculated over the trailing 5-year period, annualized | 14.50% | 7.59% | +6.91% |
Volatility (10Y)Calculated over the trailing 10-year period, annualized | 14.50% | 7.59% | +6.91% |
LOHA vs. SPXM - Expense Ratio Comparison
LOHA has a 0.35% expense ratio, which is lower than SPXM's 0.47% expense ratio.
Dividends
LOHA vs. SPXM - Dividend Comparison
LOHA has not paid dividends to shareholders, while SPXM's dividend yield for the trailing twelve months is around 0.24%.
| Position | TTM | 2025 |
|---|---|---|
LOHA Roundhill HALO ETF | 0.00% | 0.00% |
SPXM Azoria 500 Meritocracy ETF | 0.24% | 0.24% |
Frequently Asked Questions
On fees, LOHA is cheaper at 0.35% per year. The better choice depends on whether you care most about return, fees, risk, or income.
LOHA is cheaper with a 0.35% expense ratio, compared with 0.47% for SPXM.
SPXM has the higher dividend yield at 0.24%, compared with 0.00% for LOHA.
They also come from different issuers: Roundhill and Azoria. Their fees differ too: 0.35% for LOHA and 0.47% for SPXM.
Find the right allocation for LOHA and SPXM
Add both to a portfolio and optimize allocations for your target — whether that's maximizing returns, minimizing drawdowns, or balancing risk across holdings.
Open Portfolio Optimizer