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Launched · SEC filings

Amplify AI Powered Equity ETF

AIEQNYSE ArcaAmplifyC

$48.46+0.05 (+0.10%)

As of Nov 2, 2026, 3:59 PM ET

C44/ 100

Rank 74 of 126 in US Active Equity

C44/100Rank 74 of 126inUS Active Equity
Intraday session: up, 79 prints from 48.41 to 48.46. Range 48.44 to 48.99. Use the arrow keys to read each point.48.6048.7048.8048.9049.0010 AM12 PM2 PM4 PM
Expense ratio
0.75%
Fund size
$111M
1Y total return
+6.3%
Yield · Last 12 months
0.40%
Holdings
161
Avg volume · 30D
4.52K sh
52W range
low $41.90high $51.56
Launched
Filings
SEC EDGAR

The ETF.net AIEQ Grade

Based on 5 of 6 pillars

C

Score 44 out of 100

Category
US Active Equity⁠
Rank
74 of 126
Six-pillar profile for AIEQ. Scores out of 100: Cost 36, Risk 37, Mission not scored, Tradability 52, Holdings 56, Durability 65. Strongest: Durability (65). Weakest: Cost (36). Based on 5 of 6 pillars.

Score 44 of 100 falls in the C band. A is 70 or higher, B 55 to under 70, C 40 to under 55, D 25 to under 40, F under 25.

  • Cost

    The fund’s net expense ratio, ranked against its category.
    D36 out of 100
    Rank 76 of 126

  • Mission

    Whether the fund did what it promised, tested against its stated mandate.
    Not scored

  • Risk

    How the fund held up when markets fell: downside volatility, drawdowns and tail loss.
    D37 out of 100
    Rank 95 of 126

  • Tradability

    How easy the fund is to trade: daily volume, and how far its price strays from net asset value.
    C52 out of 100
    Rank 52 of 126

  • Holdings

    How concentrated the fund is, and how complete and current its disclosed holdings are.
    B56 out of 100
    Rank 65 of 124

  • Durability

    Whether the fund is likely to stay open, judged by its age, its assets and its issuer’s assets.
    B65 out of 100
    Rank 45 of 126

Our read on AIEQ

ETF.net Research

In short

CMost AI funds buy AI companies. AIEQ flips it: a machine-learning model running on the IBM Watson platform reads news, filings and market data to pick US stocks. Live since 2017, it is one of the original AI-run ETFs.

Stated mandate

The fund seeks to track the total-return performance of the AI Powered Equity Index before fees and expenses. Its AI-driven process uses historical, economic, and news information to select securities.

Why people hold it

  • The AI does the picking, not just the pitching. The index uses historical, economic and news information to select US stocks, so you get a machine's read on the market rather than a basket of AI vendors.amplifyetfs.com
  • Trading since October 2017, it has one of the longest real-world records of any AI-driven ETF, built well before the post-ChatGPT rush of launches.amplifyetfs.com
  • The book spreads across well over a hundred US names of all sizes, so it is not another chip-and-hyperscaler concentration play.

Worth knowing

  • Active-style machinery, active-style price: 0.75% a year, versus index-built AI peers like XAIX (0.35%), QTUM (0.40%) and ARTY (0.47%).
  • It is a small fund and thinly traded next to the household-name AI ETFs, which can mean wider spreads at the moment you trade.
  • The model is proprietary. You can see the holdings, but not the reasoning that produced them, and the mix shifts as the model updates.amplifyetfs.com

AIEQ Performance

Launched Oct 17, 2017

Shows how $10,000 changes over the selected period, with cash distributions reinvested at the closing price on each ex-dividend date.

Not enough history yet.
AIEQ$10,634
SPY tracks large US stocks. It provides market context, rather than representing this fund’s strategy, asset class or investment benchmark.$11,199
Oct 31, 2025 to Oct 30, 2026. AIEQ $10,634. SPY $11,199. Use the arrow keys to read each point.$10,000$11,000Oct 2025Apr 2026Oct 2026

Oct 31, 2025 – Oct 30, 2026

Returns run to the Oct 30, 2026 close, with cash distributions reinvested. Each period starts on the same date that many months or years earlier. Periods over one year show the average yearly return.

Trailing total return for AIEQ. Periods over one year show the average yearly return.
PeriodAIEQ
Year to date+7.2%
1 month−1.5%
3 months−2.5%
1 year+6.3%
3 yearsper year+19.7%
5 yearsper year+3.1%
10 yearsFund is under 10 years oldper yearNo data

With distributions reinvested.

Calendar-year total return with cash distributions hypothetically reinvested at the ex-dividend date’s closing price. The current year shows year to date.

Annual total returns for AIEQ
YearReturn barAIEQ
2026 YTD+7.2%
2025+14.0%
2024+12.5%
2023+26.5%
2022−31.9%
2021+20.1%
2020+25.4%

AIEQ in the news

AIEQ Dividends

Adds up every distribution paid per share over the last 12 months, divided by the last completed close. Distributions are counted by ex-date. Data through Oct 30, 2026.
0.40%Last 12 months
Payout per share
$0.19Last 12 months
Last payment
$0.19 per share
Paid on
Shares bought on or after this date do not qualify for this distribution.
Frequency
Annual

Distribution history

2017–2026

One bar per payment. 24 payments from 2017 to 2026 YTD. Dec 26, 2017 $0.04; Mar 20, 2018 $0.03; Jun 19, 2018 $0.04; Sep 25, 2018 $0.02; Dec 24, 2018 $1.90; Mar 26, 2019 $0.09; Jun 28, 2019 $0.02; Sep 20, 2019 $0.05; Dec 30, 2019 $0.01; Mar 17, 2020 $0.06; Jun 15, 2020 $0.06; Dec 14, 2020 $0.02; Mar 23, 2021 $0.02; Dec 28, 2021 $0.72; Dec 28, 2022 $0.03; Mar 22, 2023 $0.09; Jun 21, 2023 $0.12; Sep 20, 2023 $0.13; Dec 27, 2023 $0.0073; Mar 26, 2024 $0.15; Jun 27, 2024 $0.06; Sep 27, 2024 $0.04; Dec 30, 2024 $0.01; Dec 30, 2025 $0.19. Use the arrow keys to read each point.2017201820192020202120222023202420252026YTD
Ex-datePay dateAmount per share
Dec 30, 2025Dec 31, 2025$0.19
Dec 30, 2024Dec 31, 2024$0.01
Sep 27, 2024Sep 30, 2024$0.04
Jun 27, 2024Jun 28, 2024$0.06
Mar 26, 2024Mar 28, 2024$0.15
Dec 27, 2023Dec 29, 2023$0.0073
Sep 20, 2023Sep 22, 2023$0.13
Jun 21, 2023Jun 23, 2023$0.12
Mar 22, 2023Mar 24, 2023$0.09
Dec 28, 2022Dec 30, 2022$0.03
Dec 28, 2021Dec 30, 2021$0.72
Mar 23, 2021Mar 25, 2021$0.02

See all 24 payments⁠

$10,000 in AIEQ 5 years ago paid $349 in dividends.⁠

AIEQ Risk

Risk pillarD37 out of 100Rank 95 of 126 in US Active Equity
How much the fund’s monthly returns vary, scaled to a year.
16.4%
Annualised · 36 months to Oct 2026
How it’s calculated: standard deviation

The sample standard deviation of monthly total returns, multiplied by the square root of 12.

Uses up to 36 complete months, with at least 12 required. Total returns include reinvested distributions.

Return above 3-month US Treasury bills per unit of volatility.
0.91
vs 3-month T-bills · to Oct 2026
How it’s calculated: Sharpe ratio

Subtract each month’s Treasury-bill return from the fund’s monthly total return.

Divide the average of those excess returns by their sample standard deviation, then multiply by the square root of 12.

Uses up to 36 complete months, with at least 12 required. Each month uses the Treasury yield quoted at the end of the previous month.

The largest fall from a peak to the low that followed.
−39.0%
Trough May 2023
How it’s calculated: maximum drawdown

The largest percentage decline from an earlier peak, using total returns with reinvested distributions.

Uses up to five years through the last close, with at least 12 months required.

How strongly the fund’s returns move with its asset-class index.
1.16
vs its asset-class index
How it’s calculated: beta

The beta figure is supplied by FMP. The comparison index depends on the fund’s broad asset class.

FMP measures it over up to five years of monthly returns.

AIEQ Cost

Compare AIEQ and TACU

Overpaying vs TACU, cheapest in US Active Equity

$14,482

On $10,000 over 30 years. 7% growth a year before fees, expense ratio only.

  • AIEQ 0.75%

    $14,482

  • TACU 0.00% Cheapest

    $0

$10,000
30 years

Cost over time

  • AIEQ 0.75%
  • TACU 0.00%
  • Overpaying
One line per fund, from year 0 to year 30. Use the arrow keys to read each point.$0$5K$10K$15K051015202530AIEQ $14,482TACU $0

Year by year

YearAIEQTACUOverpaying
10$1,336$0$1,336
20$5,078$0$5,078
30$14,482$0$14,482

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