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OranjeBTC to Launch Bitcoin Credit ETF on Brazil's B3 Exchange

OranjeBTC to Launch Bitcoin Credit ETF on Brazil's B3 Exchange

OranjeBTC is bringing a new bitcoin-linked ETF to Brazil's B3 exchange. The fund, DIGY11, will give investors exposure to bitcoin-based digital credit options from Strategy and Strive, and it pays out income every month.

What DIGY11 offers

The ETF is built around digital credit products tied to bitcoin, not the coin itself. That means investors get a way to tap into bitcoin's credit market without holding the asset directly. Strategy and Strive are the names behind the underlying options, though the fund itself is managed by OranjeBTC.

DIGY11 is listed on B3, Brazil's main stock exchange, and trades in reais. That makes it straightforward for local investors to buy and sell, with no need to convert currency or go through a foreign broker.

Monthly income, with a twist

Income from DIGY11 is distributed monthly. The estimated yield is pegged to the average interbank deposit rate, plus up to 5%. That structure gives investors a floating return that can move with Brazil's benchmark rates, with a bit of a kicker on top.

It's a different income profile than a typical dividend stock or a plain bond fund. The bitcoin credit angle adds a layer of complexity, but also the potential for higher returns if the underlying credit options perform.

Trading in reais on B3

For Brazilian investors, the appeal is simplicity. The ETF is denominated in reais, so there's no foreign exchange risk baked into the trade. It's listed on B3, the same exchange where they already trade stocks and other ETFs.

OranjeBTC hasn't said when trading starts, but the listing is set. The fund's structure is now public, and investors can start positioning ahead of the launch.

The timing is notable. Bitcoin credit products are still a niche corner of the market, and bringing one to a major exchange like B3 is a step toward mainstream adoption. Whether it catches on will depend on how Brazilian investors respond to the income model and the underlying risk.