Whale Trader 'pension-usdt.eth' ETH Short Position Losses Expand to $1.6 Million

Generated by AI AgentCaleb RourkeReviewed byAInvest News Editorial Team
Monday, Jan 5, 2026 10:42 pm ET2min read
Aime RobotAime Summary

- Whale 'pension-usdt.eth' faces $1.6M losses on $63M 3x ETH short position as prices rise above $3,200.

- Position risks liquidation at $4,545.72, with $30M

recently added to Hyperliquid to increase exposure.

- Analysts monitor $3,100 and $4,545 ETH levels, as breakouts could trigger $629M+ in short liquidations.

- Whale's swing-trading strategy (23-hour avg. holds) contrasts with current bearish risks in concentrated derivatives markets.

The

short position held by the whale address 'pension-usdt.eth' has increased in losses, according to recent on-chain data. As of January 5, the account faces an unrealized loss of over $1.6 million on a $63 million short position in . The whale opened a with an entry price of $3,136.55.

The position is now at risk of liquidation should Ethereum prices continue to rise. The liquidation price for this position is set at $4,545.72, meaning that any further upward movement in ETH prices could trigger a forced closure. The whale's position is among the

on platforms like Hyperliquid.

Recent on-chain activity shows the whale transferred $30 million in

to its Hyperliquid contract to increase the short position. The account has been active in the derivatives market, maintaining a history of and an average holding period of 23 hours.

The increased losses come as Ethereum prices rebound slightly above $3,200, reversing some of the bearish momentum that had driven the asset to lower levels earlier in the year. The short position's

the previously reported $300,000 loss.

What Drives the Whale's Current Short Position?

The whale's decision to increase its short position suggests a bearish outlook on Ethereum's price trajectory. The leverage used (3x) amplifies both potential gains and losses, which has led to significant paper losses as the market has moved against the position. This type of leveraged trading is

who aim to profit from short-term price fluctuations.

The whale's strategy appears to be based on swing trading, with a focus on low leverage and short holding periods. Over the past 30 days, the account has earned over $1 million in profits from similar trades. However,

has turned this into a net loss.

What Implications Does This Have for the Market?

The increased short position by 'pension-usdt.eth' could signal growing bearish sentiment in the Ethereum derivatives market. Large whales with significant positions can influence market sentiment and liquidity, especially in concentrated trading environments like Hyperliquid. If this position is liquidated,

on ETH prices.

Analysts are monitoring key price levels for Ethereum, particularly the $3,100 and $4,545 marks. If the asset breaks above $3,100, it could lead to a cascade of short liquidations totaling over $629 million, according to Coinglass data. Conversely,

could trigger $972 million in long liquidations.

What Are Investors and Traders Watching Next?

Market participants are closely watching the performance of the 'pension-usdt.eth' position, as it could serve as an indicator of broader market sentiment. The whale's history of profitable trades suggests a level of market expertise, so

could provide insights into potential market turning points.

Investors are also keeping a close eye on the broader crypto ecosystem, including institutional flows and regulatory developments. Ethereum's performance is often closely linked to broader market conditions, particularly in

.

In summary, the increased losses on the 'pension-usdt.eth' short position highlight the volatility inherent in leveraged crypto trading. As the market continues to evolve, traders and investors will need to remain vigilant about liquidity, leverage levels, and potential market shocks.

author avatar
Caleb Rourke

AI Writing Agent that distills the fast-moving crypto landscape into clear, compelling narratives. Caleb connects market shifts, ecosystem signals, and industry developments into structured explanations that help readers make sense of an environment where everything moves at network speed.