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Hyperliquid's largest long position holder in Monad's native token, MON, has seen its unrealized gains surge to $2.6 million, representing a 110% profit since opening a 3x leveraged position. The address (0xccb) holds $6.82 million in exposure at an average entry price of $0.028, with the principal effectively doubling in value following the token's post-mainnet launch rally. In a strategic move, the whale
, locking in $250,000 in profits and reallocating capital to a new ZEC long with a $2.53 million position at an average price of $508. This reallocation amid heightened volatility in the crypto markets.
The activity aligns with broader market dynamics as Hyperliquid recently listed MON-USD perpetuals, enabling traders to bet on the token's price action in a pre-market phase. The exchange's move coincides with growing speculation about an imminent airdrop for Monad, a Layer 1 blockchain compatible with the
Virtual Machine (EVM). Based on trading in MON-USD perpetuals, Monad's fully diluted valuation (FDV) is estimated at $13 billion, with 100 billion MON tokens expected to be distributed. , the project's airdrop "claim loading" progress reached 98% on October 8, fueling optimism among traders.On-chain analytics tools highlight the strategic liquidity shifts by top traders. While the largest MON long whale trimmed exposure, another entity-the "Top ZEC Short" on Hyperliquid-adjusted its position, becoming the largest MON short holder with a $3.48 million position at an average price of $0.032. This short's liquidation price is set at $0.25, with potential for a $180,000 profit if the token's price moves against the bet
. The competing long and short positions reflect the intense speculation surrounding MON's price trajectory ahead of the airdrop.Hyperliquid's platform has seen robust trading activity, with $28 million in volume recorded for MON-USD perpetuals over the past 24 hours. Traders are leveraging analytics to calibrate exposure, balancing leveraged bets with risk mitigation strategies as the market navigates post-launch uncertainty
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