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The downfall of a 100% winning streak whale: 21-day betting spree, 14-game winning streak ended, $44.67 million evaporated.
Foresight News
特邀专栏作者
2025-11-05 09:00
This article is about 2024 words, reading the full article takes about 3 minutes
The market is fair in that it never distinguishes between geniuses and ordinary people.

Original author: Sanqing, Foresight News

On November 5th, an anonymous whale who had achieved a 100% win rate and won 14 consecutive times on Hyperliquid was forced to liquidate its positions. Its account plummeted from a peak profit of over $25.34 million to a net loss of $30.02 million, leaving it with only about $1.4 million in margin. This 21-day trading cycle began on October 14th with a precise short position followed by a long position, reaching its profit peak on October 28th. In the following week, due to the chain reaction of concentrated leverage, market correction, and adding to positions against the trend, all its profits and principal evaporated this morning.

Image source: Hyperbot

From Accumulation to Peak

On October 14, 2025, an anonymous whale with the address 0xc2a30212a8ddac9e123944d6e29faddce994e5f2 began a fourteen-consecutive-profit trading cycle on Hyperliquid.

He bought 5,255 ETH, sold them the next day for 22 million USDC, and shorted BTC with approximately 5x leverage. Just one night later, at 8 AM on October 16th, he closed his position, making a profit of $2.6 million. This was his first profitable trade in a row, and also the cleanest trade in the entire cycle.

The following week, he precisely switched directions amidst the volatility. On the morning of October 17th, he turned bullish, adding to his position twice, expanding it to $222 million. Before the market crashed in the early hours of October 22nd, he closed out approximately $300 million of his long positions, netting a profit of $6.04 million. This move became a signature action in his tweets, described as "the guy's reaction was quick," and solidified his myth of a 100% win rate.

October 24th to 28th was his peak period. He continuously added to his BTC and ETH positions in batches, keeping the leverage below 8x, expanding his position from $274 million to $447 million. On Hyperbot's profit and loss curve, that was the only complete upward green line—at 6:12 AM on October 28th, the account had a floating profit of $25.349 million.

This was the last time his profit and loss curve showed a one-sided upward trend. The following week, the rhythm began to subtly shift.

From taking profits to obsession

On October 29th, the whale chose to close out its profitable positions first, while continuing to hold onto its losing positions. At 4 AM, the market dropped, and it closed out its $268 million BTC long positions, making only a profit of $1.4 million. In the afternoon, it closed out its $163 million ETH long positions, making a profit of $1.63 million, leaving only its trapped SOL positions.

Two days later, he increased his SOL position to a total of $105 million, bringing his average cost to $198.3. In the early hours of October 30th, Federal Reserve Chairman Powell's speech triggered a brief market downturn. He chose to buy the dip in BTC and ETH, while simultaneously increasing his SOL position. That evening, all three positions were underwater, resulting in a paper loss of $9.73 million.

At 4:00 AM on October 31st, losses peaked at over $18 million. As the market rebounded, the floating losses narrowed, and the whale attempted to hold on until it broke even. By 8:00 AM on November 3rd, the floating losses had shrunk to $1.98 million; it was just one step away from breaking even, but it didn't reduce its positions. Just three hours later, the market turned downwards, and all four of the whale's previously undefeated long positions were once again in a state of floating loss.

He was just one step away from a clean getaway, but in waiting and hesitating, he handed the initiative back to the market.

From stop-loss to self-destruction

In the early hours of November 4th, his undefeated streak officially ended. He cut his losses, closing out $258 million worth of long positions in BTC, ETH, and SOL, incurring a loss of $15.65 million. This figure is equivalent to the $15.83 million profit he earned over the previous 20 days and 14 consecutive wins. At this point, he still held $148 million worth of long positions in ETH, SOL, and HYPE, with a floating loss of $18.86 million, and only 8% away from the liquidation price.

The market continued its downward trend throughout the day. The whale was only 4% away from the liquidation price. His account balance had already fallen by $40.4 million from its peak, returning him to square one. With the liquidation price rapidly approaching, any rational trader should have stopped, but he instead added 2196 ETH and 78,724 SOL at $3497 and $159 respectively. The liquidation line was further pushed up, with the ETH liquidation price at $3348 and the SOL liquidation price at $151.6. ETH was only $130 away from liquidation, and SOL was only $8 away.

On November 5th, it all ended. Around 5 AM, he was forced to liquidate all his positions, leaving his account with only $1.4 million in margin, practically equivalent to a margin call. Thus, this 21-day trading spree ended completely with nothing. The $15.83 million in profit from 14 consecutive wins, plus his initial $28.76 million principal, totaling $44.67 million, was wiped out in a single loss.

Between leverage and human nature

In Hyperliquid's trading history, almost every legendary trader ended in a similar way: James Wynn once held $1.2 billion in BTC long positions with 20x leverage, peaking at $87 million in profit, but ultimately losing $21.77 million; qwatio used $3 million to endlessly roll over positions, once earning $26 million, only to lose it all in the end; veteran trader AguilaTrades made a peak profit of $41.7 million with $300,000, but ultimately lost $37.6 million. And this anonymous whale, known for his "14-game winning streak," also wiped out $44.67 million in just one night.

Winning streaks can be achieved through skill and luck, but survival always depends on restraint. When everyone is captivated by the upward curve, the outcome is often already predetermined by leverage.

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