Huang Licheng’s Crypto Trades Result in $18.5 Million Loss

On August 2, 2025, on-chain analyst Ai Auntie reported that Huang Licheng, during a market drop, made additional long trades on ETH, HYPE, and PUMP.

Huang’s trading illustrates the risks of high-exposure strategies, reflected in his unrealized losses of $18.5 million, stressing the volatility of crypto investments.

Huang Licheng’s $1.49 Billion Positions Amid Market Fall

Huang Licheng initiated small-scale long positions in ETH, HYPE, and PUMP during a market decline, increasing his total position to $1.49 billion. According to Ai Auntie, On-Chain Analyst, @_9684xtpa, “During the sharp crypto market drop from 0:00 to 4:00 AM on August 2, 2025, I observed ‘Brother Ma Ji’ execute a series of small-scale additional long positions in ETH, HYPE, and PUMP.” source Post-rebound, decisive loss-cutting measures were taken as losses mounted, reflecting his active trading strategy.

The event resulted in aggregate unrealized losses of approximately $18.5 million. Approximately $6 million in losses were attributed to PUMP, while ETH positions approached break-even. The situation highlights the inherent risks in such trading behaviors.

While official statements from Huang or the team are absent, the community’s cautious sentiment underscores the volatility associated with similar speculative moves. Major KOLs remained silent on these trades, reflecting a wait-and-see stance.

Ethereum’s Price Movements and Market Influence

Did you know? Huang’s trades reflected historical patterns of high-risk behaviors, noting past allegations of speculative tactics in Web3 ventures.

According to CoinMarketCap, Ethereum’s price is $3,413.74 with a market cap of $412.07 billion. Its 24-hour trading volume decreased by 21.58%, with the price declining 3.29% over that period. Over 60 days, ETH showed a prominent 29.88% increase.

Insights from Coincu suggest that increased repetition of such trading patterns could amplify market volatility and lead to tighter regulations. Historical analysis shows potential technological advancements in blockchain stabilization could mitigate some inherent trading risks.