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

AJUL

Innovator Equity Defined Protection ETF - 2 Yr to July 2028

7월 28일 3:42 PM ET (한국 7/29 04:42)

$30.00

+0.03 ▲ +0.10%

🌙 7월 28일 5:05 PM ET (한국 7/29 06:05)

$30.00

+0.00 +0.00%

AJUL 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)

$70M

약 953억원

Holdings

6 items

Dividend Yield

Management Style

Passive

Category ⓘ	US Equities - Quant Strat	Asset Type ⓘ	Equities (Stocks)	Return% 1Y ⓘ	6.69%	Total Holdings ⓘ	6	Perf Week ⓘ	-0.2%
ETF Type ⓘ	US Equities	Active/Passive ⓘ	Passive	Return% 3Y ⓘ	-	AUM ⓘ	$70M	Perf Month ⓘ	-0.13%
Expense ⓘ	0.79%	NAV ⓘ	$29.91	Return% 5Y ⓘ	-	52W High ⓘ	-0.66%	Perf Quarter ⓘ	0.96%
Dividend TTM ⓘ	-	Div Gr. 3/5Y ⓘ	-	Return% 10Y ⓘ	-	52W Low ⓘ	7.07%	Perf Half Y ⓘ	2.63%
Flows% 1M ⓘ	22.44%	Flows% YTD ⓘ	10.88%	Return% SI ⓘ	7.41%	Volatility(W/M) ⓘ	0.25% 0.25%	Perf YTD ⓘ	3.2%
SMA20 ⓘ	-0.17%	SMA50 ⓘ	0.01%	SMA200 ⓘ	2.28%	RSI (14) ⓘ	48.15	Beta ⓘ	0.25
IPO ⓘ	2024/7/1	Prev Close ⓘ	$29.97	Perf Year ⓘ	6.55%	Avg Volume ⓘ	0.02M	Price ⓘ	$30

📊 Innovator Equity Defined Protection ETF - 2 Yr to July 2028 (AJUL) Investment Analysis

ETF Overview

Innovator Equity Defined Protection ETF - 2 Yr to July 2028 · US Equities - Quant Strat

버퍼/구조화형 — 옵션으로 하락 일부 방어 · 상승도 제한

2024년 상장, 2년 운영 중.

The Innovator Equity Defined Protection ETF - 2 Yr to July 2026 seeks to track the price return of the SPDR S&P 500 ETF Trust, up to a maximum gain (cap) of 18.20%, before fees and expenses, while providing a buffer (downside protection) against 100% of losses in the ETF, over a period from July 1, 2024, to June 30, 2026. It invests at least 80% of its net assets (including borrowings for investment purposes) in FLEX options that use the SPDR S&P 500 ETF Trust as the underlying asset. The fund is non-diversified.

U.S.optionsbufferSP500

규모: $70M 약 953억원
운용사: Innovator
운용 방식: 패시브 (지수 추종)
상장일: 2024년

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

Insufficient return data

-11.1%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.

🛡️ Buffered / Structured ETF — designed for a defined outcome period

These use options to buffer a portion of downside losses while also capping upside gains. They typically have a 1-year outcome period; buying or selling outside this window means the buffer and cap may apply differently. Total return and win-rate versus the benchmark are inherently limited by the structure.

If you had invested 1 year(s) ago

$100.0M

Today's value

$106.7M

→

Total gain

+$6.7M

Annualized +6.7%

1 Year

2025.07 ~ 2026.07

Annualized +6.69%

하위 25%

Trailed the benchmark by 11.1%p annually

My positionBottom 25%

Low range Average High range

3 Years

2023.07 ~ 2026.07

Listed 2024/7 — under 3 years

5 Years

2021.07 ~ 2026.07

Listed 2024/7 — under 5 years

10Y

2016.07 ~ 2026.07

Listed 2024/7 — under 10 years

2Y Cumulative Total Return Curve

2024-07-01 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.

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

100

150

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

AJUL S&P 500 (SPY)

+40%

−40%

+5%

2024

+8%

2025

+3%

2026 YTD

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)

—

Completed years: 2 — 3+ years of data are needed for a win rate to be shown.

2024 ✗

2025 ✗

2026 ✗ YTD

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

🛡️ 24%

Falls less than the benchmark in drawdowns — strong downside protection

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

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

Low Risk

Less volatile than the market average, making it relatively easy to hold over time.

Beta (market sensitivity)

상위 25%

0.25

If the market rises +10% +2.5%

If the market falls -10% -2.5%

My positionTop 25%

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

±0.25%

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

-6.1%

Drawdown duration: 2 months

2025-02-19 → 2025-04-08

Recovered in about 41 days

2024-07-01 Worst -5% 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)

0.92

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%)

-0.7%

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

Strengths and weaknesses both present Check the fit below to see whether it matches your investing goal.

🎯 목적별 적합도

내가 이 ETF를 어떤 목적으로 활용할 수 있는지 확인하세요.

🌳

장기 보유

수년 이상 꾸준히 모아갈 때

보통

💵

배당 인컴

매월·분기 현금흐름이 목적일 때

매우 낮음

⚡

단기 트레이딩

며칠~몇 주 단기 방향성 매매

매우 낮음

🧩

포트폴리오 보조

자산 배분·헤지 용도

낮음

👤

이런 분에게 어울려요

Long-term and recurring investors

✅ 강점

뚜렷한 강점이 드러나지 않아요.

⚠️ 약점·주의사항

🎯Trails benchmark by -11.1%p annually

Category Peers

Category: US Equities - Quant Strat

같은 카테고리 6종 중 AUM 6/6위 · 보수율 1/6위

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 AJUL보다 유리, ▼ 표시는 AJUL보다 불리를 뜻해요.

티커	ETF명	보수율	AUM	보유종목	배당률	YTD	1년
AJUL	Innovator Equity Defined Protection ETF - 2 Yr to July 2028	0.79%	$70M	6	-	+3.20%	+6.55%
BUFR	FT Vest Laddered Buffer ETF	0.95% ▼	$10.1B ▲	13	-	-	+12.67% ▲
SFLR	Innovator Equity Managed Floor ETF	0.89% ▼	$2.1B ▲	196	0.28%	-	+10.40% ▲
BUFD	FT Vest Laddered Deep Buffer ETF	0.95% ▼	$2.0B ▲	13	-	-	+10.50% ▲
BUFQ	FT Vest Laddered Nasdaq Buffer ETF	1% ▼	$1.5B ▲	5	-	-	+12.97% ▲
PJAN	Innovator U.S. Equity Power Buffer ETF - January	0.79%	$1.4B ▲	5	-	-	+10.99% ▲

AUM 내림차순 정렬 · ▲ AJUL보다 유리 · ▼ AJUL보다 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 AJUL using leveraged or covered call strategies (Leverage 8 · Inverse 5 · Covered Call 8)

Not direct derivatives of AJUL, 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 AJUL, 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)