Generated July 2026 from current fund data.
Overview
BTCI and MAXI are both bitcoin-focused ETFs that generate monthly income through options strategies layered on top of bitcoin exposure. The core difference is in how they construct their income: BTCI uses a covered-call approach on bitcoin ETPs with a lower fee structure, while MAXI combines bitcoin futures with options strategies at a substantially higher cost. BTCI is the newer, larger fund with a triple-digit distribution rate; MAXI is smaller and older, with a more modest yield but significantly higher expense ratio.
How they differ
The biggest distinction is yield magnitude and fee drag. BTCI distributes 27.16% annually at a 0.98% expense ratio, while MAXI yields 10.41% but charges 11.18% in fees—a spread that makes MAXI's net income substantially weaker before accounting for any capital gains or losses. BTCI's strategy centers on selling covered calls against bitcoin ETP holdings; MAXI layers bitcoin futures with options income strategies, adding complexity and leverage exposure. BTCI has $1.09B in assets and launched in October 2024, while MAXI has $25.4M and dates to March 2023, reflecting investor preference for the simpler, lower-cost structure. Beta tells another story: MAXI's 3.274 beta suggests amplified moves relative to bitcoin's typical volatility, while BTCI's 1.6764 indicates somewhat lower systematic volatility, though both are considerably more volatile than traditional equities.
Who each is best for
BTCI: Fits investors seeking aggressive current income from bitcoin exposure who are willing to accept substantial monthly distributions and are comfortable with the tax complexity of frequent option exercises and potential return-of-capital treatment on such a high yield.
MAXI: Designed for investors with a smaller portfolio allocation to bitcoin derivatives who are already familiar with options mechanics and can tolerate higher costs in exchange for a more conservative distribution rate and futures-based tactical flexibility.
Key risks to know
- NAV erosion at extreme distribution yields. BTCI's 27.16% annualized distribution rate far exceeds typical long-term bitcoin appreciation and suggests a material portion may constitute return of capital, eroding principal over time—a pattern accelerated by the fund's recent inception and limited operating history.
- Options assignment and rollover friction. Both funds rely on selling covered calls (BTCI) or broader options strategies (MAXI) to generate income. Call assignment forces position turnover, which can lock in losses if bitcoin rallies sharply and depresses the fund's upside capture during bull markets.
- Extreme fee burden on MAXI. An 11.18% expense ratio consumes more than the fund's entire 10.41% distribution yield each year. This cost structure leaves little room for capital appreciation to offset expenses, making performance deterioration likely if bitcoin's price direction turns sideways or negative.
- Amplified volatility and drawdown risk on MAXI. Beta of 3.274 indicates the fund moves roughly three times as fast as bitcoin in either direction. During a steep crypto correction, MAXI's leverage magnifies losses and may impair the collateral supporting its derivatives positions.
- Concentration and liquidity in small AUM. MAXI's $25.4M AUM creates potential liquidity constraints during market stress and leaves little room for net outflows before the fund becomes economically unviable. Closure risk exists for smaller cryptocurrency derivatives ETFs.
Bottom line
If you prioritize high monthly distributions and simpler mechanics, BTCI's lower fees and higher yield appeal—but the 27.16% distribution rate raises serious questions about principal preservation over multi-year horizons. If you're skeptical of BTCI's sustainability and prefer a more measured income level with tactical leverage, MAXI's approach makes sense, though its 11.18% expense ratio is a severe drag that makes the 10.41% yield nearly self-defeating. Past performance, especially for funds launched during a strong crypto market, does not predict future results.
AI-generated analysis for educational purposes only. Verify important details independently; past performance does not guarantee future results.