POPCAT Manipulation Hits Hyperliquid: HLP Suffers $4.9M Loss as Attacker Burns $3M USDC After $20M Buy Wall and 125.14M HYPE Longs | Flash News Detail | Blockchain.News
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11/13/2025 4:49:00 AM

POPCAT Manipulation Hits Hyperliquid: HLP Suffers $4.9M Loss as Attacker Burns $3M USDC After $20M Buy Wall and 125.14M HYPE Longs

POPCAT Manipulation Hits Hyperliquid: HLP Suffers $4.9M Loss as Attacker Burns $3M USDC After $20M Buy Wall and 125.14M HYPE Longs

According to @lookonchain, an attacker withdrew 3M USDC from OKX, split the funds across 19 wallets, deposited them into Hyperliquid, and opened 125.14M HYPE longs valued at $26.28M (source: @lookonchain). According to @lookonchain, the attacker then placed an approximately $20M buy wall near $0.21, canceled the orders, and triggered a liquidity collapse that caused mass liquidations (source: @lookonchain). According to @lookonchain, the Hyperliquidity Provider (HLP) absorbed the positions and lost around $4.9M, while the attacker’s entire $3M stake was wiped out (source: @lookonchain). According to @lookonchain, the tactic involved manipulating POPCAT to attack Hyperliquid, resulting in significant venue-side losses (source: @lookonchain).

Source

Analysis

In the volatile world of cryptocurrency trading, a recent incident involving the manipulation of POPCAT has sent shockwaves through the market, highlighting vulnerabilities in decentralized exchanges and liquidity provision. According to Lookonchain, an attacker executed a sophisticated scheme to target Hyperliquid, ultimately burning $3 million of their own funds while inflicting $4.9 million in losses on the Hyperliquidity Provider (HLP). This event underscores the risks associated with leveraged positions and order book manipulations in crypto trading, particularly for tokens like POPCAT, which have gained traction in meme coin circles. Traders should note that such attacks can lead to sudden liquidity collapses, triggering mass liquidations and creating short-term trading opportunities for those monitoring on-chain activities closely.

POPCAT Manipulation: Breaking Down the Attack Strategy

The attack began with the withdrawal of 3 million USDC from OKX on November 12, 2025, which was then distributed across 19 wallets and deposited into Hyperliquid. These funds were used to open long positions worth 125.14 million HYPE, equivalent to $26.28 million at the time. The manipulator then strategically placed a massive $20 million buy wall near the $0.21 price level for POPCAT, artificially inflating perceived demand and encouraging other traders to enter positions. However, by abruptly canceling these orders, the attacker caused a rapid liquidity shortfall, leading to cascading liquidations. This not only wiped out the attacker's $3 million stake but also forced the HLP to absorb the distressed positions, resulting in substantial losses. From a trading perspective, this highlights key resistance levels around $0.21 for POPCAT, where fake buy walls can deceive market participants. On-chain metrics from platforms like Dune Analytics could reveal similar wallet clustering in the future, serving as early warning signals for traders. Volume spikes during such events often precede sharp price drops, with POPCAT experiencing heightened trading activity that day, potentially offering contrarian entry points post-liquidation.

Market Implications and Trading Opportunities in Crypto

Beyond the immediate fallout, this incident raises questions about the resilience of liquidity providers in perpetual futures markets like those on Hyperliquid. Traders analyzing POPCAT charts might observe that the token's price dipped below key support levels following the manipulation, with 24-hour trading volumes surging as panic selling ensued. Although real-time data isn't available here, historical patterns suggest that such events can create oversold conditions, ideal for bounce plays if RSI indicators fall below 30. For broader crypto market correlations, this attack could influence sentiment toward meme coins, potentially spilling over to assets like DOGE or SHIB, where similar manipulation risks exist. Institutional flows, as tracked by sources like Chainalysis, show increasing caution in DeFi protocols, which might lead to reduced leverage usage and more stable trading volumes. Savvy traders could capitalize on this by monitoring cross-pair movements, such as POPCAT/USDC or HYPE/BTC, looking for arbitrage opportunities amid volatility. Moreover, with Bitcoin hovering near all-time highs, any negative news in altcoin spaces like this could drive capital back to safer havens, affecting overall market cap dynamics.

From a risk management standpoint, this POPCAT saga serves as a stark reminder to use stop-loss orders and avoid over-leveraging in illiquid markets. Support levels for POPCAT post-attack might stabilize around $0.18, based on previous candlestick patterns, while resistance could rebuild at $0.25 if positive sentiment returns. Traders should integrate on-chain data, such as wallet transaction volumes and holder distributions, to gauge manipulation risks. In terms of SEO-optimized trading strategies, focusing on long-tail keywords like 'POPCAT price manipulation trading signals' can help in identifying patterns. The event also ties into larger trends, such as regulatory scrutiny on crypto exchanges, potentially impacting stock market plays in blockchain-related firms. For instance, correlations with stocks like Coinbase (COIN) might see dips if DeFi trust erodes, presenting short-selling opportunities. Overall, while the attacker lost big, the incident provides valuable lessons in market psychology, urging traders to prioritize verified data and diversified portfolios to navigate such turbulent waters effectively.

Looking ahead, the crypto community is buzzing with discussions on enhancing protocol security to prevent similar exploits. Hyperliquid's HLP losses could prompt protocol upgrades, influencing tokenomics for HYPE and related assets. Traders eyeing recovery plays in POPCAT should watch for volume rebounds and MACD crossovers as buy signals. This manipulation not only burned millions but also illuminated the high-stakes game of crypto trading, where illusion can quickly turn into financial reality.

Lookonchain

@lookonchain

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