UFEB 주가 전망 및 ETF 분석 - 배당·운용보수·보유종목·NAV·RSI·MACD

UFEB

Innovator U.S. Equity Ultra Buffer ETF - February

7월 28일 3:37 PM ET (한국 7/29 04:37)

$38.72

+0.06 ▲ +0.14%

🌙 7월 28일 4:00 PM ET (한국 7/29 05:00)

$38.72

+0.00 +0.00%

UFEB ETF is analyzed across 10 metrics including expense ratio, holdings, sector allocation, dividends, RSI, and MACD.

Total Expense Ratio

0.79%

Annual operating cost

Net Assets (AUM)

$237M

약 3245억원

Holdings

5 items

Dividend Yield

Management Style

Passive

Category ⓘ	US Equities - Quant Strat	Asset Type ⓘ	Equities (Stocks)	Return% 1Y ⓘ	11.04%	Total Holdings ⓘ	5	Perf Week ⓘ	-0.24%
ETF Type ⓘ	US Equities	Active/Passive ⓘ	Passive	Return% 3Y ⓘ	11.27%	AUM ⓘ	$237M	Perf Month ⓘ	1.19%
Expense ⓘ	0.79%	NAV ⓘ	$38.68	Return% 5Y ⓘ	7.17%	52W High ⓘ	-0.5%	Perf Quarter ⓘ	2.21%
Dividend TTM ⓘ	-	Div Gr. 3/5Y ⓘ	-	Return% 10Y ⓘ	-	52W Low ⓘ	12.64%	Perf Half Y ⓘ	4.33%
Flows% 1M ⓘ	-3.17%	Flows% YTD ⓘ	39.88%	Return% SI ⓘ	7.14%	Volatility(W/M) ⓘ	0.33% 0.29%	Perf YTD ⓘ	5.25%
SMA20 ⓘ	-0.04%	SMA50 ⓘ	0.36%	SMA200 ⓘ	4%	RSI (14) ⓘ	52.88	Beta ⓘ	0.35
IPO ⓘ	2020/2/3	Prev Close ⓘ	$38.66	Perf Year ⓘ	11.08%	Avg Volume ⓘ	0.02M	Price ⓘ	$38.72

📊 Innovator U.S. Equity Ultra Buffer ETF - February (UFEB) Investment Analysis

ETF Overview

Innovator U.S. Equity Ultra Buffer ETF - February · US Equities - Quant Strat

레버리지형 — 지수의 2~3배 방향으로 추종 (단기 투자용 · 고위험)

2020년 상장, 6년 운영 중.

Innovator U.S. Equity Ultra Buffer ETF - February는 SPDR S&P 500 ETF Trust의 가격 수익률과 일치하는 수익을 투자자에게 제공하고자 합니다. 이 ETF는 순자산의 최소 80%를 SPDR S&P 500 ETF Trust(기초 ETF)를 기준으로 하는 FLEX 옵션(FLexible EXchange Options)에 투자합니다. FLEX 옵션은 조건을 맞춤 설정할 수 있는 상장 옵션 계약으로, Options Clearing Corporation(OCC)이 결제를 보증하지만 여전히 OCC에 대한 거래상대방 리스크가 있으며 일반 상장 옵션보다 유동성이 낮을 수 있습니다. 비분산형입니다.

📘 UFEB ETF 자세히 알아보기 →

U.S.optionsSP500buffer

규모: $237M 약 3245억원
운용사: Innovator
운용 방식: 패시브 (지수 추종)
상장일: 2020년

Cost Efficiency

Annual Expense Ratio · Category Rank · Long-Term Cost Impact

Average expense ratio — 0.79% annually

Mid-range within the US Equities - Quant Strat category.

Effective Annual Expense Ratio (Net Expense Ratio)

평균권

0.79%

My positionMid-range

Low range Average High range

Actual Cost Simulation by Investment Amount

$100.0M

Annual Expense Ratio

$790K

Same as category average

Category Median Annual Cost

$790K

Based on expense ratio of 0.79%

10-Year Cumulative Expense Ratio (Long-term simulation assuming 7% annual market growth)

$14.1M

14.5% of returns you could have earned goes to the fund manager due to fees

💡 Because the expense ratio takes a slice of your assets every year, costs compound over 10 years and result in far greater losses than a simple sum (annual fee × 10). The 7% annual return assumption is based on the S&P 500's long-term average.

Defaults shown against $100K baseline portfolio. Adjust the slider to update the amount in real time.

Cheaper alternatives in the same category

CBOX

Calamos Tax-Aware Collateral ETF

0.14%

-0.65%p annually

XBOX

Roundhill Ultra Short Duration No Dividend Target ETF

0.14%

-0.65%p annually

SELV

SEI QiM U.S. Large Cap Low Volatility Active ETF

0.15%

-0.64%p annually

* A lower fee does not necessarily mean a better ETF. Consider the tracked index, liquidity, and tax treatment as well.

Long-Term Performance

1-year · 3-year · 5-year · 10-year returns · vs. benchmark · drawdown defense

Returns slightly below average

하위 25% vs. US Equities - Quant Strat.-6.8%p vs. benchmark (SPY) over 1Y.

ℹ️ The "1Y·3Y·5Y·10Y" periods below represent annualized returns (CAGR) measured backward from today. Example: "3Y +12%" means the investment grew at a compounded 12% per year over the past three years.

⚡ Leveraged ETF — beware of compounding decay over long holding periods

These ETFs aim to deliver 2–3× the daily return of the underlying index, but during sideways or volatile markets, compounding effects can cause long-term cumulative returns to diverge significantly from 2–3× the index. They are suited for short-term trading and are not appropriate as core holdings for long-term portfolios.

If you had invested 5 year(s) ago

$100.0M

Today's value

$141.4M

→

Total gain

+$41.4M

Annualized +7.2%

1 Year

2025.07 ~ 2026.07

Annualized +11.04%

평균권

Trailed the benchmark by 6.8%p annually

My positionMid-range

Low range Average High range

3 Years

2023.07 ~ 2026.07

Annualized +11.27% Cumulative +37.8%

평균권

Trailed the benchmark by 8.0%p annually

My positionMid-range

Low range Average High range

5 Years

2021.07 ~ 2026.07

Annualized +7.17% Cumulative +41.4%

하위 25%

Trailed the benchmark by 6.1%p annually

My positionBottom 25%

Low range Average High range

10Y

2016.07 ~ 2026.07

Listed 2020/2 — under 10 years

6Y Cumulative Total Return Curve

2020-02-03 start, based on a 100M KRW base — read the curve values directly as units of 100M KRW (e.g., 308 → 3.08억 / 308M KRW). Both this ETF and the benchmark are rebased to 100 on the same start date for comparison.

UFEB · Price Only UFEB · Price + Cumulative Dividends UFEB · Dividend Reinvested S&P 500 (SPY)

150

250

ℹ️ Price Only: Excludes dividends and tracks pure stock price only. Covered-call and high-dividend ETFs often show a flat or declining line on this view, which is meaningful from a "principal preservation" standpoint. Price + Cumulative Dividend: Share count stays the same and received dividends are accumulated as cash. Closely matches your actual account total assets. Reinvested: Dividends are immediately used to buy additional shares (adjClose-based, the industry standard for total return). The wider the gap between the three lines, the easier it is to gauge the effectiveness of the dividend strategy.

Annual Return Comparison

ETF returns vs S&P 500 (SPY) by calendar year

UFEB S&P 500 (SPY)

+40%

−40%

+6%

2020

+8%

2021

-6%

2022

+12%

2023

+13%

2024

+11%

2025

+5%

2026 YTD

💡 Leveraged ETFs have an asymmetric structure: big wins in up markets, big losses in down markets.

ℹ️ Returns from January 1 to December 31 of each year. The current year (2026) column is dimmed to indicate YTD (incomplete). If blue is higher than gray, the ETF outperformed the benchmark in that year.

Win rate vs S&P 500 (SPY)

1 / 6Y

Lags behind benchmark (17%)

+ 2026 YTD: Behind (5.2% vs 8.7%)

2020 ✗

2021 ✗

2022 ✓

2023 ✗

2024 ✗

2025 ✗

2026 ✗ YTD

💡 Leveraged wins in up markets, loses big in down markets — annual return dispersion matters more than win rate.

ℹ️ Number of winning years versus S&P 500 (SPY) within a completed calendar year (1/1–12/31). The current year (YTD) is reported separately.

Downside Capture

🛡️ 37%

Falls less than the benchmark in drawdowns — strong downside protection

<85% (Defend) 85~110% (Track) >110% (Lag)

💡 Leveraged ETFs are designed to fall 2–3x the benchmark — values above 200% are normal. Short-term risk must be considered.

ℹ️ Average % drop of this ETF when S&P 500 (SPY) is −1%. Based on daily returns over the past 3 years (only days where the benchmark is negative).

Risk Profile

Volatility · Beta · Max Drawdown · Sharpe · Drawdown Recovery History

Overall Risk Grade

High Risk

These 2-3x leveraged products are structurally very volatile. Holding them long-term can erode your principal in ways that don't match expectations, so they're better suited for short-term trading.

⚡ Leveraged ETF — High Beta & Volatility Are by Design

A Beta of 2 or higher and volatility 2–3× the underlying index is by design. The "high volatility" reading below is a feature of the product, not a problem. However, long-term holding can lead to compounding decay and results that differ from expectations.

Beta (market sensitivity)

평균권

0.35

If the market rises +10% +3.5%

If the market falls -10% -3.5%

My positionMid-range

Low range Average High range

ℹ️ A beta of 1.0 moves in line with the market. Above 1 means it moves more than the market; below 1 means less.

Average daily range (last 1 month)

평균권

±0.29%

S&P 500 typically ±1.0~1.3% · Bond funds ±0.3% · Leveraged ETFs ±3% or more

Annual volatility trend (past 10 years)

ℹ️ This ETF's average daily price swing. 1% means "on average, moves about ±1% per day." The rolling curve below shows the annualized volatility (long-term standard measure) over time.

Max Drawdown · Past 10 years

-13.3%

Drawdown duration: 1 months

2020-02-19 → 2020-03-20

Recovered in about 5 months

2020-02-03 Worst -11% 2026-07-01

ℹ️ Maximum drawdown is the largest peak-to-trough decline in the past. It represents the worst-case loss a long-term investor must psychologically endure.

Sharpe Ratio (Risk-Adjusted Return)

0.56

Average — Moderate risk-adjusted returns

ℹ️ Annualized return minus the risk-free rate (3% annualized), divided by annualized volatility. A value above 1.0 is generally considered good risk-adjusted performance.

Estimated Monthly Maximum Loss (VaR 95%)

-2.5%

Historically, monthly losses exceeding this figure occurred only5%of the time.

ℹ️ A statistical estimate meaning "with 95% probability, monthly losses will not exceed this amount." The remaining 5% corresponds to crisis-level events such as financial crises or pandemics.

Overall investment appeal

What this ETF fits best — strengths, weaknesses, and target investor profile

Designed for short-term trading Not recommended for long-term investing, but suitable for short-term trading and hedging.

⚠️ 2–3x leveraged product; not suitable for long-term holding. Use as a short-term trading tool only.

🎯 목적별 적합도

내가 이 ETF를 어떤 목적으로 활용할 수 있는지 확인하세요.

🌳

장기 보유

수년 이상 꾸준히 모아갈 때

부적합

💵

배당 인컴

매월·분기 현금흐름이 목적일 때

부적합

⚡

단기 트레이딩

며칠~몇 주 단기 방향성 매매

매우 적합

🧩

포트폴리오 보조

자산 배분·헤지 용도

매우 낮음

👤

이런 분에게 어울려요

Short-term traders only

✅ 강점

뚜렷한 강점이 드러나지 않아요.

⚠️ 약점·주의사항

📈Long-term returns trail the average
🎯Trails benchmark by -6.1%p annually
🎢Leveraged — compounding decay can produce results that differ from expectations over long holds

Portfolio Composition

What's actually inside — sector weights and top holdings

파생상품 기반 ETF

실제 보유 종목이 일반 ETF와 다르게 스왑·선물 중심이에요.

ℹ️ 왜 구성을 봐야 하나요?

ETF의 실제 성과는 담고 있는 종목과 섹터에서 나와요. 이름이 "S&P 500"이라도 기술주 비중이 유난히 높을 수 있고, "배당주 ETF"라도 몇몇 대형주에 쏠려 있을 수 있어요. 라벨보다 실제 구성을 확인하는 게 중요해요.

🔬 집중도 한눈에 보기

총 보유종목

4개

상위 10개 비중

105.1%

최대 단일 종목

73.14%

집중도(HHI)

6365

높음 (집중)

⚠️ 소수 종목·섹터에 집중되어 있어, 해당 종목/섹터가 흔들리면 ETF 전체가 크게 영향을 받아요.

📋 상위 보유 종목 Top 10 Top 10이 전체의 100.1% 차지

티커 옆의 점 색상 = 섹터 구분 (섹터 차트와 동일 색상)

USLM TREASURY BILL

73.14%

#2 - N/A

31.87%

#3 - US BANK MMDA - USBGFS 9

0.06%

#4 - N/A

-5.00%

Category Peers

Category: US Equities - Quant Strat

같은 카테고리 6종 중 AUM 6/6위 · 보수율 2/6위

카테고리: US Equities - Quant Strat

ℹ️ 왜 비교해야 하나요?

같은 카테고리 ETF끼리는 보수율·규모(AUM)·배당률을 비교해 볼 가치가 있어요. 보수율은 낮을수록 장기 수익에 유리하고, AUM이 크면 운용 안정성이 높아요. ▲ 표시는 UFEB보다 유리, ▼ 표시는 UFEB보다 불리를 뜻해요.

티커	ETF명	보수율	AUM	보유종목	배당률	YTD	1년
UFEB	Innovator U.S. Equity Ultra Buffer ETF - February	0.79%	$237M	5	-	+5.25%	+11.08%
ULTY	YieldMax Ultra Option Income Strategy ETF	1.3% ▼	$774M ▲	102	112.42%	-	-58.21% ▼
XBOX	Roundhill Ultra Short Duration No Dividend Target ETF	0.14% ▲	$338M ▲	5	-	-	-
UJUL	Innovator U.S. Equity Ultra Buffer ETF - July	0.79%	$288M ▲	7	-	-	+9.05% ▼
UJAN	Innovator U.S. Equity Ultra Buffer ETF - January	0.79%	$268M ▲	5	-	-	+10.52% ▼
UDEC	Innovator U.S. Equity Ultra Buffer ETF - December	0.79%	$247M ▲	5	-	-	+12.61% ▲

AUM 내림차순 정렬 · ▲ UFEB보다 유리 · ▼ UFEB보다 불리

Leveraged & Covered Call ETFs on the Same Theme

ETFs that approach the same theme with a different strategy

21 ETFs tracking the same theme as UFEB using leveraged or covered call strategies (Leverage 8 · Inverse 5 · Covered Call 8)

Not direct derivatives of UFEB, but ETFs that cover the same theme via a different strategy.

ℹ️ Which ETFs are included?

Among ETFs whose theme (category or sector) overlaps with UFEB, some use special strategies. Leveraged ETFs aim for 2–3× the daily move, Inverse ETFs seek opposite-direction returns, and Covered Call ETFs generate monthly income from option premiums.

⚠️ Caution: Long-Term Holding

Leveraged and inverse ETFs track only the daily return. With high volatility, holding them for longer periods causes cumulative volatility decay—returns diverge further from the underlying index. They are meant for short-term trading.

📈 Leverage 8 ETFs that amplify the same theme by 2-3x (high volatility)