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IBXTradr 2X Long IBM Daily ETF

Take a betNewRanked #450 of 775 in this goal

Seeks daily investment results that correspond to 200% of the daily performance of the common shares of IBM.

By AXS · Launched 2026

Annual Cost

1.30%

#5,310 of 5,562 · expensive

Fund Size

$42M

#3,724 of 5,562 · mid-size

Return (1Y)Goal

N/A

Track Record

3 months

#5,314 of 5,562 · young

Performance

Total-return NAV · USD
Growth of $10,000
$11,018+10.2%

Total-return NAV, USD. Net of fund fees, before tax.

Classification

How Beacon categorizes this fund

Asset class

Equity

Strategy

Leveraged

What it actually holds

By weight

Asset allocation

Cash
59.7%
Stocks
26.6%
Other
13.7%

Risk profile

Last 12 months · Sharpe & Sortino need 3+ years
Volatility (1Y)
N/A
Max drawdown
-37.5%Severe

Worst peak-to-trough loss

Sharpe (3Y)
Unavailable

Needs 3+ years of history

Sortino (3Y)
Not yet

Needs 3+ years of history

Where to buy

Listing

Exchange
Cboe BZX, NYSE American

Full fund details

Objective
Seeks daily investment results that correspond to 200% of the daily performance of the common shares of IBM.
Strategy
Maintains at least 80% exposure to financial instruments providing 200% leveraged exposure to IBM's daily performance. Uses swaps, options, and direct stock investments to achieve this. The Fund is actively managed and rebalances daily to maintain the target exposure.
Inception date
March 23, 2026
Fund family
AXS

Our take

Structural notes on how this fund behaves. Read our guide on the 6 warning signs.

Leveraged single stock
Critical

Leveraged single-stock ETF — documented structural drag

Single-stock leveraged ETFs magnify one stock's daily move. Research on these products (Bessembinder et al., 2024) finds 56% posted negative absolute returns over one year, with ~9.5% annual drag versus the underlying stock. Daily rebalancing plus financing costs work against the investor on any holding period longer than a few days.

Source: Bessembinder, Cooper, Zhang — 'Leveraged Single-Stock ETFs' (SSRN 2024)

Why we flagged this: strategy=leveraged + single_stock_wrapper

Educational analysis of structural product characteristics. Not investment advice. Always read the fund prospectus and consult a qualified advisor before investing. More

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Data updated on 2026-06-19