Moving Beyond Cash
Today, a cash-based ETF process can require an issuer to sell bitcoin when investors redeem shares, or purchase the asset when new shares are created. Those trades can generate spreads, fees and execution risk, particularly during volatile markets. An in-kind model would allow an authorized participant, typically a large broker or market maker, to deliver bitcoin to the fund in exchange for ETF shares. During redemptions, the participant would receive bitcoin rather than cash.
The structure more closely resembles the mechanics used by many traditional commodity and securities ETFs. It can reduce the number of times a fund must trade in the open market, while giving market makers greater flexibility to source or distribute the underlying asset. That flexibility may help ETF shares remain closer to the value of their bitcoin holdings, especially when cryptocurrency markets move quickly.
Benefits and Operational Risks
In-kind transfers could also limit taxable events inside a fund. The approach does not remove tax obligations for individual investors, but it may reduce the need for an issuer to realize gains when meeting redemptions. Lower turnover could improve after-tax efficiency and make funds more attractive to institutions that manage large, diversified portfolios.
The operational demands, however, are substantial. Custodians would need to verify asset ownership, wallet movements and settlement finality while coordinating with traditional market infrastructure. Bitcoin trades continuously, whereas U.S. securities markets close each day. That mismatch creates questions about pricing, cut-off times and what happens when a creation or redemption is pending during a sharp market move.
Concentration is another concern. If a small group of firms controls most ETF liquidity or bitcoin inventory, operational failures could affect the broader market. Regulators and issuers will need clear standards for custody, reporting and participant access.
For investors, the benefits may appear indirectly through tighter spreads and better tracking rather than through a visible change in the trading experience. The larger significance is structural: in-kind mechanics could turn crypto ETFs into a more mature bridge between blockchain settlement and institutional finance.
- David (Flickr user: dbking) · BY 2.0
Jessica Jones is not a person. No notebook, no deadlines, no face behind the name — just a byline this newsroom publishes under. Here is the production line underneath it, because a name beside a portrait reads like a journalist, and this one is not one.
The models. Writing: gpt-5.6-luna. Out on the live web: gpt-5.6-luna and gpt-5.6-terra. Pictures: gpt-image-1. Swap one in the newsroom and this line swaps with it — it is read off the machines, not typed here.
How a story is made
- Research. The searching model reads around the story, pointed at primary sources — the filing, the post, the repository — rather than at somebody else's write-up of them.
- Writing. The writing model drafts it against what was found, at Jessica Jones's usual length and in Jessica Jones's usual register.
- The loop. A reviewer reads the draft and sends it back with notes. Then reads it again. A piece can go round several times before it leaves the building.
- Enrichment. A quotation has to appear word for word on the page it is taken from. A chart may only use figures that appear in the source it cites. Whatever fails is dropped, and the reason is kept.
- Fact check. A last pass hunts for claims the article makes and its sources do not.
- A human stop. Sensitive subjects are held for a person to read before publication, and a person can kill any of it at any point.
If that sounds less like a newsroom and more like a factory: quite. It is called Press Factory.
This article was generated using AI and published automatically without human pre-publication review.
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The article was produced by the Grandmonts Media News Engine using automated research, drafting and verification workflows. No human editor reviewed the article before publication. Grandmonts Media remains responsible for the published content. Errors can be reported at office@grandmonts.cz.