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UBEW vs. LINT
Performance
Return for Risk
Drawdowns
Volatility
Dividends

Performance

UBEW vs. LINT - Performance Comparison

The chart below illustrates the hypothetical performance of a $10,000 investment in Roundhill UBER WeeklyPay ETF (UBEW) and Direxion Daily INTC Bull 2X Shares (LINT). The values are adjusted to include any dividend payments, if applicable.

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Returns By Period

In the year-to-date period, UBEW achieves a -18.40% return, which is significantly lower than LINT's 259.95% return.


UBEW

1D
-0.02%
1M
-6.79%
6M
-16.16%
YTD
-18.40%
1Y
3Y*
5Y*
10Y*
ALL TIME*

LINT

1D
-2.72%
1M
-47.53%
6M
154.25%
YTD
259.95%
1Y
3Y*
5Y*
10Y*
ALL TIME*
*Multi-year figures are annualized to reflect compound growth (CAGR)

Liquidity Comparison


PositionAvg. Volume Value (2W)Avg. Volume Value (1M)Avg. Volume Value (3M)
$19.47M$20.67M$35.74M
$64.73K$104.09K$137.20K

UBEW vs. LINT - Yearly Performance Comparison


2026 (YTD)2025
UBEW
Roundhill UBER WeeklyPay ETF
-18.40%-13.07%
LINT
Direxion Daily INTC Bull 2X Shares
259.95%5.81%

Correlation

The correlation between UBEW and LINT is 0.01, meaning there was essentially no consistent relationship between their historical price movements. Each responded to its own set of market drivers.


Correlation
Correlation (All Time)
Calculated using the full available price history since Nov 19, 2025

0.01

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Return for Risk

UBEW vs. LINT - Risk-Adjusted Trends Comparison

This table presents a comparison of risk-adjusted performance metrics for Roundhill UBER WeeklyPay ETF (UBEW) and Direxion Daily INTC Bull 2X Shares (LINT). 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.


Risk / return metrics aren't available yet — we need at least 12 months of trading data to calculate them.

UBEW vs. LINT - Sharpe Ratio Comparison


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Drawdowns

UBEW vs. LINT - Drawdown Comparison

The maximum UBEW drawdown since its inception was -41.53%, smaller than the maximum LINT drawdown of -69.02%. Use the drawdown chart below to compare losses from any high point for UBEW and LINT.


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Drawdown Indicators


UBEWLINTDifference

Max Drawdown

Largest peak-to-trough decline

-41.53%

-69.02%

+27.49%

Current Drawdown

Current decline from peak

-36.87%

-62.88%

+26.01%

Average Drawdown

Average peak-to-trough decline

-26.92%

-23.85%

-3.07%

Volatility

UBEW vs. LINT - Volatility Comparison


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Volatility by Period


UBEWLINTDifference

Volatility (1Y)

Calculated over the trailing 1-year period

43.30%

169.51%

-126.21%

Volatility (5Y)

Calculated over the trailing 5-year period, annualized

43.30%

169.51%

-126.21%

Volatility (10Y)

Calculated over the trailing 10-year period, annualized

43.30%

169.51%

-126.21%

UBEW vs. LINT - Expense Ratio Comparison

UBEW has a 0.99% expense ratio, which is higher than LINT's 0.97% expense ratio.


Dividends

UBEW vs. LINT - Dividend Comparison

UBEW's dividend yield for the trailing twelve months is around 41.60%, more than LINT's 0.76% yield.


PositionTTM2025
LINT
Direxion Daily INTC Bull 2X Shares
0.76%0.25%
UBEW
Roundhill UBER WeeklyPay ETF
41.60%8.98%

Frequently Asked Questions


UBEW and LINT have a correlation of 0.01, meaning they provide meaningful diversification benefit when combined. Depending on your allocation goals, holding both could reduce overall portfolio risk.

On fees, LINT is cheaper at 0.97% per year. The better choice depends on whether you care most about return, fees, risk, or income.

LINT is cheaper with a 0.97% expense ratio, compared with 0.99% for UBEW.

UBEW has the higher dividend yield at 41.60%, compared with 0.76% for LINT.

They also come from different issuers: Roundhill and Direxion. Their fees differ too: 0.99% for UBEW and 0.97% for LINT.

Portfolio Optimizer

Find the right allocation for UBEW and LINT

Add both to a portfolio and optimize allocations for your target — whether that's maximizing returns, minimizing drawdowns, or balancing risk across holdings.

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