$MVLL rose more than 10.6% over the past 24 hours, with the price reaching 35.10. But in the derivatives market, the funding rate is zero—so neither long nor short has paid the other. Open interest is around 97,000 contracts, and the trading value is close to $39 million.

With the funding rate at zero, seeing a double-digit gain sends a very clear signal: the rally hasn’t attracted overcrowding among longs. The longs haven’t started paying shorts yet, which suggests that chasing capital hasn’t entered in large quantities—or that the short side is strong enough to suppress the funding rate.

Behind this are two possibilities. One is that the shorts are holding up the price as it rises; they believe the move is not sustainable and are waiting to short at higher levels. The other is that the market’s broader view of $MVLL is split—without longs forming a consistent consensus to chase, the funding rate naturally can’t rise.

The strongest counter-evidence would be if tomorrow the funding rate suddenly turns positive—for example, up to more than 0.01%. If the price continues to rise while the funding rate shifts from zero to positive, it would indicate long sentiment is starting to accumulate, and the cost structure of this rally would change. The invalidation condition is that the funding rate stays positive for two consecutive periods (8 hours) and the price does not break above 35.50.

The current playbook is clear: existing holders don’t have to pay funding, but there’s also no short squeeze pushing you out. I’ll hold and observe. If the funding rate turns positive in the next period, I will cut one-third of the position. I won’t chase. If the price pulls back into the 33.00–34.00 range and the funding rate remains zero or turns negative, I’ll consider adding back to the position.

A zero funding rate doesn’t necessarily mean there isn’t enough heat— it could mean the shorts are quietly positioning themselves, waiting for a macro catalyst to strike back.

Trading tag: #TradFi #链上美股 #MVLL

Where do you think this assessment is most likely to be wrong?