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Launched

FINQ FIRST U.S. Large Cap AI-Managed Equity ETF

AIUPNYSE ArcaFINQD

$25.13+0.50 (+2.02%)

As of Nov 3, 2026, 2:20 PM ET

D31/ 100

Rank 108 of 126 in US Active Equity

D31/100Rank 108 of 126inUS Active Equity
Intraday session: up, 59 prints from 24.63 to 25.13. Range 24.72 to 25.17. Use the arrow keys to read each point.24.7024.8024.9025.0025.2010 AM12 PM2 PM4 PM
Expense ratio
0.70%
Fund size
$5M
1Y total return
No data
Yield · Last 12 months
No data
Holdings
16
Avg volume · 30D
2.21K sh
52W range
low $22.56high $32.83
Launched

The ETF.net AIUP Grade

Based on 5 of 6 pillars

D

Score 31 out of 100

Category
US Active Equity⁠
Rank
108 of 126
Six-pillar profile for AIUP. Scores out of 100: Cost 47, Risk 23, Mission not scored, Tradability 14, Holdings 39, Durability 5. Strongest: Cost (47). Weakest: Durability (5). Based on 5 of 6 pillars.

Score 31 of 100 falls in the D 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.
    C47 out of 100
    Rank 64 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.
    F23 out of 100
    Rank 112 of 126

  • Tradability

    How easy the fund is to trade: daily volume, and how far its price strays from net asset value.
    F14 out of 100
    Rank 117 of 126

  • Holdings

    How concentrated the fund is, and how complete and current its disclosed holdings are.
    D39 out of 100
    Rank 94 of 124

  • Durability

    Whether the fund is likely to stay open, judged by its age, its assets and its issuer’s assets.
    F5 out of 100
    Rank 126 of 126

Our read on AIUP

ETF.net Research

In short

DThe stock picker here is a machine. FINQ's adaptive AI model hunts inside the S&P 500 roster and builds an active large-cap book that owes nothing to index weights. Familiar names, algorithmic calls.

Stated mandate

The Fund seeks long-term capital appreciation.

Why people hold it

  • The mandate is literal: US large caps drawn from S&P 500 companies, selected by FINQ's proprietary adaptive AI model, with no obligation to track that index.
  • One job, stated plainly. The fund seeks long-term capital appreciation, with no income sleeve, hedging overlay, or derivatives story to decode.
  • The hunting ground is familiar. Holdings come from household-name US large caps, so the active risk sits in selection and weighting, not in exotic corners of the market.

Worth knowing

  • At 0.70%, it prices above the typical US active equity fund and several times index-tracking core rivals such as DFAU (0.12%) or FELC (0.18%).
  • A small fund that trades lightly. Spreads can be wider than in the category's giants, so execution quality is worth checking at the time of the trade.
  • Short history, closed box. There is only about a year of risk data to judge the model across conditions, and its picks are not explained trade by trade.

AIUP Holdings

Holdings pillarD39 out of 100Rank 94 of 124 in US Active Equity
Asset class
Stocks
Holdings
16
Top-10 weight
77%
Largest holding
MU14.9%

Geography

  • United States100.00%
The fund’s holdings, weight-ordered — page 1 of 2.
#TickerCompanyWeight %SharesMarket valueHeld by ETFs
1MUMicron Technology Inc14.95%769$680K684
2DELLDell Technologies Inc14.87%1,595$677K450
3DDOGDatadog Inc14.83%2,869$675K435
4VLOValero Energy Corp4.71%537$215K411
5HUMHumana Inc4.67%513$213K312
6MPCMarathon Petroleum Corp4.67%478$213K412
7HPEHewlett Packard Enterprise Co4.67%3,857$212K395
8AMZNAmazon.com Inc4.66%882$212K736
9GOOGLAlphabet Inc4.62%752$210K703
10NVDANVIDIA Corp4.59%1,021$209K847
11CRLCharles River Laboratories International Inc4.58%580$208K227
12AMDAdvanced Micro Devices Inc4.56%411$207K638
13PANWPalo Alto Networks Inc4.53%563$206K505
14SNDKSandisk Corp4.45%176$203K471
15CRWDCrowdstrike Holdings Inc4.09%744$186K487

Showing 1–15 of 16 holdings

AIUP Performance

Launched Feb 5, 2026

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.Not enough history yet.Not enough history yet.Not enough history yet.Not enough history yet.
AIUP$8,903
SPY tracks large US stocks. It provides market context, rather than representing this fund’s strategy, asset class or investment benchmark.$10,093
Jul 31, 2026 to Nov 2, 2026. AIUP $8,903. SPY $10,093. Use the arrow keys to read each point.$9,000$10,000$11,000Jul 2026Sep 2026Nov 2026

Jul 31, 2026 – Nov 2, 2026

Returns run to the Nov 2, 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 AIUP. Periods over one year show the average yearly return.
PeriodAIUP
Year to dateFund launched this yearNo data
1 month−22.4%
3 months−11.0%
1 yearFund is under 1 year oldNo data
3 yearsFund is under 3 years oldper yearNo data
5 yearsFund is under 5 years oldper yearNo data
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 AIUP
YearReturn barAIUP
2026 YTD+1.9%

History from Feb 6, 2026

AIUP in the news

AIUP 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 Nov 2, 2026.
No dataLast 12 months
Payout per share
No dataLast 12 months

Listed Feb 2026. No distributions yet.

AIUP Risk

Risk pillarF23 out of 100Rank 112 of 126 in US Active Equity
How much the fund’s monthly returns vary, scaled to a year.
Launched Feb 2026; fills in after 12 months
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.
Launched Feb 2026; fills in after 12 months
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.
Launched Feb 2026; fills in after 12 months
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.
0.86
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.

AIUP Cost

Compare AIUP and TACU

Overpaying vs TACU, cheapest in US Active Equity

$13,606

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

  • AIUP 0.70%

    $13,606

  • TACU 0.00% Cheapest

    $0

$10,000
30 years

Cost over time

  • AIUP 0.70%
  • 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$15K051015202530AIUP $13,606TACU $0

Year by year

YearAIUPTACUOverpaying
10$1,250$0$1,250
20$4,760$0$4,760
30$13,606$0$13,606

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