Hyperliquid News Update: Monad Airdrop Approaches as $6 Million in Longs Face Off Against $3.5 Million in Shorts on Hyperliquid

The largest holder of a long position in Monad's MON token on Hyperliquid has watched their unrealized profits climb to $2.6 million, marking a 110% return since initiating a 3x leveraged trade. This address (0xccb) currently has $6.82 million in exposure, having entered at an average price of $0.028. The principal has more than doubled in value following the token's rally after its mainnet debut. In a calculated decision, the whale

, securing $250,000 in gains and shifting funds into a fresh ZEC long worth $2.53 million at an average entry of $508. This move as crypto market volatility remains elevated.

This activity mirrors broader market trends, as Hyperliquid has recently introduced MON-USD perpetual contracts, allowing traders to speculate on MON's price before spot trading begins. The listing comes amid increasing rumors of an upcoming Monad airdrop, with the project being a Layer 1 blockchain that is compatible with the

Virtual Machine (EVM). Based on MON-USD perpetual trading, Monad's fully diluted valuation (FDV) is projected at $13 billion, with a total supply of 100 billion MON tokens anticipated. , the airdrop's "claim loading" progress reached 98% on October 8, sparking optimism among market participants.

On-chain analytics platforms reveal how top traders are strategically reallocating liquidity. While the largest MON long whale has scaled back, another participant—known as the "Top ZEC Short" on Hyperliquid—has shifted to become the largest MON short holder, with a $3.48 million position at an average price of $0.032. This short faces liquidation at $0.25, and stands to gain $180,000 if the price moves in their favor

. The opposing long and short positions underscore the heightened speculation around MON's price ahead of the airdrop.

Trading activity on Hyperliquid has been strong, with MON-USD perpetuals seeing $28 million in volume over the last day. Traders are using analytics to fine-tune their exposure, balancing leveraged trades with risk management as the market adjusts to post-launch developments

.