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For a 3x long fund, estimate the return for one objective period by multiplying the fund’s reference asset return over its stated measurement window by three. For multiple days, compound each day’s estimated fund return; do not multiply Bitcoin’s or another crypto asset’s weeklong return by three. These are estimates, not guaranteed fund results: costs, tracking differences, and the fund’s actual benchmark and timing matter.
Calculate the fund’s return for one day
Start with the fund’s prospectus, not the ticker or an assumed 24-hour crypto candle. Find the stated reference asset or benchmark, whether the objective is long or inverse, the leverage multiple, and the exact daily measurement window. A Bitcoin- or Ether-named product does not necessarily target spot Bitcoin or Ether. For example, SEC prospectuses for crypto-linked daily funds describe their objectives and measurement periods; the Bitcoin 2x prospectus defines a day using successive NAV calculation times.
For a hypothetical 3x long daily objective, let rt be the reference asset’s return over that fund-specific interval:
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Estimated fund return: 3 × rt
For example, if the reference asset gains 2% over the fund’s stated daily window, the simplified estimate is a 6% fund gain before expenses, financing costs, and tracking or implementation differences. This is a calculation example, not a prediction or a claim about any specific fund.
For a different leverage direction or multiple, use the signed leverage factor stated in the objective: L × rt. An inverse objective has a negative direction, but do not infer the sign or target from a ticker alone.
Calculate a multi-day return by compounding daily results
Daily leverage resets make the order and size of daily moves matter. For a simplified estimate across several objective periods, calculate each day’s underlying return using the fund’s own measurement window, then multiply the daily fund growth factors:
Estimated multi-day return: [(1 + L × r1) × (1 + L × r2) × … × (1 + L × rn)] − 1
For a hypothetical 3x long fund, suppose the reference asset rises 10% on day one and falls about 9.09% on day two. The underlying ends near its starting value. The simplified fund estimates are +30% and about −27.27%, which compound to an approximately 5.45% loss before costs. The example shows why a flat end-to-end move in the underlying does not imply a flat multi-day result for a daily leveraged fund.
SEC and FINRA warn that leveraged and inverse ETFs are designed around a daily objective and can perform very differently from that multiple over longer holding periods. Crypto-linked fund prospectuses make the same distinction. See the SEC and FINRA investor alert, the SEC’s 2x Bitcoin ETF summary prospectus, and the World Funds Trust filing dated April 30, 2026.
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Measure risk from a daily return series
A practical starting point is to calculate daily returns from a consistent fund value series:
Daily fund return: (ending fund value ÷ starting fund value) − 1
A common descriptive measure of how widely those daily returns vary is standard deviation. If you calculate it, identify the observation period and whether the inputs are market prices or NAV returns. If you annualize it, state the convention used; there is no single annualization factor prescribed by the cited guidance. Standard deviation describes variation, not the likelihood or size of a future loss.
For an investor-focused view of the path, also examine the largest peak-to-trough decline (maximum drawdown) and the dates and sizes of downside periods. Those can show losses that a single end-to-end return or volatility figure may obscure. Use matched periods and clearly label whether results include distributions.
Volatility, leverage, daily rebalancing, and holding length all affect results. A historical two-day example in the SEC’s 2009 investor-alert material showed losses of 0.02% on a lower-volatility path and 1.82% on a more volatile path, although the index ended at the same level in both paths. Those are figures from that specific inverse-ETF illustration—not forecasts or measured outcomes for a 3x crypto fund. See the SEC example.
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Why the estimate can differ from a fund’s actual return
The simple formula models the stated daily objective; it does not reproduce every feature of a real fund. Actual results may differ because of fund expenses, financing costs, derivatives, rebalancing, tracking error, market timing, and the difference between the benchmark and the crypto price a reader has in mind.
For realized performance, use the fund’s own return data for the same start and end times as the estimate. Where available, use adjusted NAV or total-return data and say how distributions and costs are treated. If comparing with exchange-traded market prices instead, label them as price returns. Compare the actual result with the model over matched periods and describe the gap as a tracking or implementation difference—not as a failure of the arithmetic or a guaranteed shortfall.
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The cited SEC filings establish crypto-linked daily 2x Bitcoin and Ether fund examples, including a T-Rex filing dated April 30, 2026. They do not establish that a 3x crypto ETF is currently listed. Availability can change, so verify current listing status and the latest prospectus before naming or calculating results for a particular product. A 3x inverse S&P 500 fund is an equity product and is not evidence that a 3x crypto ETF exists.
For any product being evaluated, confirm these details in its current prospectus:
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Quick Recap
- Reference asset or benchmark: Identify exactly what is tracked and how it is constructed; do not substitute spot crypto prices without checking.
- Direction and multiple: Confirm whether the stated objective is long or inverse and the signed leverage target.
- Measurement window: Use the fund’s specified daily start and end points, not a calendar-day interval chosen for convenience.
- Fees and financing: Account for recurring expenses and financing-related costs when interpreting actual returns.
- Tracking and data basis: Compare like periods and distinguish NAV or total returns from market-price returns.
- Path and holding period: Review both trending and volatile periods; a daily target does not guarantee a corresponding multiple over a week or month.
Product prices and availability are accurate as of the date/time indicated and are subject to change. Any price and availability information displayed on Amazon at the time of purchase will apply.
