The hottest places in price are not necessarily the cleanest bull markets.

Today’s contract leaderboard looks like a chase higher, but the real contrast is that the strongest $LAB is not a one-sided bullish trend, but rather that bears are still paying to hold their positions.
$LAB +61.5%.
Trading volume reached $1.7 billion, with both price increase and liquidity online at the same time, not a pulse driven by low volume and sharp moves.
More importantly, the funding rate has already reached -0.632%, meaning bears are bearing heavy costs, and open interest (OI) is still increasing by 21.1%, indicating that the longer this structure persists, the easier it is to be squeezed out into larger volatility.
$MRVL +40.5%.
Its highlight is not the price increase itself, but the surge in OI by 341.2%, showing that it’s not a slow warming but a sudden influx of capital rushing to take positions.
The long-short ratio has reached 2.02, and market sentiment is already heated, so the next step is to see if trading volume can continue to support this new batch of positions.
$US +40.3%.
The price movement closely follows MRVL, but the order book looks more like a second-tier follow-up trend.
OI increased by 71.6%, and takers are also more proactive, indicating that it’s not just following the trend for a quick lift; short-term funds are actively involved.
There are also many high-beta stocks catching up in the back, such as APR +37.5%, CLO +28.2%, HYUNDAI +24.5%, USELESS +20.7%, LIT +19.4%, SOXL +18.6%, PIEVERSE +18.1%.
On the downside, the biggest declines are EDGE -32.4%, UB -29.4%, PLAY -26.8%, with UB and PLAY’s OI decreasing simultaneously, more like a cooling-off after fund withdrawal.
Overall, today’s market is not a broad rally across all assets, but rather funds clustering around a few names with active trading and changing OI.
Among the most extreme short squeeze candidates is LAB, where the short costs are already very high; the next step is to watch whether its trading volume and OI can continue to grow in tandem.

Generated using Claude Opus 4.8 model. Claude is AI and can make mistakes. Please double-check responses.