IMF: Over Half of Tokenized US Stock Trading Happens After Hours
A sample of five tokenized stock products shows most volume landing outside Wall Street's regular session, with volatility around 1.5 times that of traditional equivalents.
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Key takeaways
- More than half of volume in the IMF's five-product sample traded outside regular US market hours.
- Volatility in those tokenized products ran about 1.5 times that of traditional counterparts.
- The sample is small: five products, so it's a snapshot, not the whole market.
- Off-hours demand suggests tokenization's main pull is access when stock exchanges are shut.
Most trading in tokenized US stocks happens while Wall Street is asleep. That's the takeaway from an IMF look at five tokenized equity products, as CryptoSlate reported on October 13, 2026.
What the IMF found
In the sample, more than half of trading volume landed outside regular US market hours. And the tokenized versions were rougher rides. Their volatility ran about 1.5 times that of the traditional stocks they track.
That's all the summary gives us. Which five products got studied, and over what period? Not in the material I have, so I'm not going to guess. You shouldn't either.
Reading the numbers
The after-hours skew isn't shocking. Tokenized shares trade on blockchain venues that don't close at 4 p.m. New York time. If you're in another time zone, or you want to react to overnight news, that's the whole pitch.
The extra volatility fits, too. Thin liquidity overnight and on weekends usually means bigger price swings, and there's no deep traditional market around to anchor prices at those hours. Note that's my read, not the IMF's stated explanation.
Why it matters
Trade tokenized stocks? Expect choppier prices than the underlying shares, especially off-hours. Wider swings can mean worse fills and stop-outs you didn't see coming. Check liquidity before you size a position.
For the industry, this cuts both ways. There's real demand for round-the-clock access. But regulators now have a data point about risk, and it comes from an institution that tends to be cautious. Only five products in the sample, though. Does the pattern hold as the market grows? That's the open question.
Source: CryptoSlate
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