On-chain Whale Activity Overview: Whale Suffers $125 Million ETH Loss in 'Rug Pull' Stop Loss, Arthur Hayes Sells Off Ethereum Ecosystem Tokens
BlockBeats News, November 16th, according to Hyperinsight monitoring, the whale movements that have been highly active on-chain in the past 24 hours are as follows:
BitMEX Co-founder Arthur Hayes today sold approximately $5 million worth of Ethereum ecosystem tokens, totaling 780 ETH ($2.48 million), 5,020,000 ENA ($1.384 million), 640,000 LDO ($480,000), 1,630 AAVE ($289,000), 28,670 UNI ($209,000), and 132,730 ETHFI ($124,000).
A certain whale address recently acquired 444,895 ETH (worth $1.39 billion) and is suspected to have started selling. The whale withdrew 177,000 ETH (worth $561.3 million) from Aave 8 hours ago and deposited 44,000 ETH (worth $140.2 million) into Binance. The whale's buying cost was around $3,437, currently facing a loss of approximately $125 million.
The largest ZEC short on Hyperliquid has been holding the position for over a month. Early this morning, an additional 5 million USDC was transferred to the account to increase the collateral. The 5x ZEC short position was opened at $360, with the current ZEC price at $686 and the liquidation price at $1,084, resulting in a floating loss of $20 million. The address has been building the ZEC short position since October 11, continuing to add to the position to average the cost during the upswing. The whale also opened a 15x ETH short, valued at $26 million, currently with a floating profit of $7 million, with an opening price of $4,094.
The "Buddy" Huang Licheng partially closed his ETH long position this morning and slightly increased the position again. Currently, his 25x ETH long position is worth approximately $25 million, with an opening price of $3,397, a liquidation price of $3,049, the current ETH price at $3,154, and a floating loss of $1.9 million. "Buddy" realized a profit of $770,000 in the past week, bringing the total account loss to $16.43 million.
A certain whale has taken large short positions on BTC, XRP, and ZEC, with a total value exceeding $190 million. The current positions are as follows:
40x short BTC position worth $148 million, opening price $96,065.2, liquidation price $97,560.2;
A 20x short position on XRP worth $27.3 million, with an entry price of $2.225 and a liquidation price of $2.5;
A 10x short position on ZEC worth $20.6 million, with an entry price of $652 and a liquidation price of $775.
The "Whale Opponent of Top 100% Win Rate" has just added to their 10x leveraged ETH short position, bringing it to $20.11 million, with an average entry price of $3186.98 and a liquidation price of $3736.89.
On Hyperliquid, the largest long position on ZEC currently holds a $22.29 million ZEC long position with 5x leverage, with a single-coin unrealized profit of $8.28 million, an entry price of $396.9, and a liquidation price of $358.44.
You may also like

Stop Talking About Gold, Bitcoin Is Not a Safe Haven Asset

Aave Founder: What Is the Secret of the DeFi Lending Market?
The Trader's Playbook: 7 Market Cycle Lessons From LALIGA’s 90 Minutes
What do LALIGA matches teach about crypto markets? Learn how consolidation, breakouts, and late-cycle volatility shape disciplined trading decisions.
How Smart Money Tracker Survived Live AI Trading at WEEX AI Hackathon
Discover how WEEX AI Trading Hackathon tested strategies with real capital—no simulations. See how Smart Money Tracker survived flash crashes and leveraged 18x in live markets.
80% Win Rate to 40% Drawdown: An AI Trader's Brutal Recalibration at WEEX AI Wars
Dive into the technical blueprint of an AI trading system built on LLaMA reasoning and multi-agent execution. See how Quantum Quaser uses confidence thresholds & volatility filters at WEEX AI Wars, and learn the key to unlocking 95% win rate trades.
AI Trading Strategy Explained: How a Beginner Tiana Reached the WEEX AI Trading Hackathon Finals
Can AI trading really outperform human emotion? In this exclusive WEEX Hackathon finalist interview, discover how behavioral signal strategies, SOL trend setups, and disciplined AI execution secured a spot in the finals.

When AI Takes Over the 'Shopping Journey,' How Much Time Does PayPal Have Left?

Bloomberg: Aid Turkey Freeze $1 Billion Assets, Tether Remakes Compliance Boundary

Polymarket vs. Kalshi: The Full Meme War Timeline

Consensus Check: What Consensus Was Born at the 2026 First Conference?

Resigned in Less Than a Year of Taking Office, Why Did Yet Another Key Figure at the Ethereum Foundation Depart?

Russian-Ukrainian War Prediction Market Analysis Report

Ethereum Foundation Executive Director Resigns, Coinbase Rating Downgrade: What's the Overseas Crypto Community Talking About Today?

Who's at the CFTC Table? A Rebalancing of American Fintech Discourse
AI Trading vs Human Crypto Traders: $10,000 Live Trading Battle Results in Munich, Germany (WEEX Hackathon 2026)
Discover how AI trading outperformed human traders in WEEX's live Munich showdown. Learn 3 key strategies from the battle and why AI is changing crypto trading.
Elon Musk's X Money vs. Crypto's Synthetic Dollars: Who Wins the Future of Money?
How do Synthetic Dollars work? This guide explains their strategies, benefits over traditional stablecoins like USDT, and risks every crypto trader must know.

The Israeli military is hunting a mole on Polymarket

Q4 $667M Net Loss: Coinbase Earnings Report Foreshadows Challenging 2026 for Crypto Industry?
Stop Talking About Gold, Bitcoin Is Not a Safe Haven Asset
Aave Founder: What Is the Secret of the DeFi Lending Market?
The Trader's Playbook: 7 Market Cycle Lessons From LALIGA’s 90 Minutes
What do LALIGA matches teach about crypto markets? Learn how consolidation, breakouts, and late-cycle volatility shape disciplined trading decisions.
How Smart Money Tracker Survived Live AI Trading at WEEX AI Hackathon
Discover how WEEX AI Trading Hackathon tested strategies with real capital—no simulations. See how Smart Money Tracker survived flash crashes and leveraged 18x in live markets.
80% Win Rate to 40% Drawdown: An AI Trader's Brutal Recalibration at WEEX AI Wars
Dive into the technical blueprint of an AI trading system built on LLaMA reasoning and multi-agent execution. See how Quantum Quaser uses confidence thresholds & volatility filters at WEEX AI Wars, and learn the key to unlocking 95% win rate trades.
AI Trading Strategy Explained: How a Beginner Tiana Reached the WEEX AI Trading Hackathon Finals
Can AI trading really outperform human emotion? In this exclusive WEEX Hackathon finalist interview, discover how behavioral signal strategies, SOL trend setups, and disciplined AI execution secured a spot in the finals.