- Buy Crypto
- Markets
Futures- Spot
- Copy Trade
- Earn
- More
「Big Brother Whale」, who was long on ETH, has realized a loss of 4.99 million USD after reducing their position by 940,000 ETH. On the other hand, a certain whale who is short on ETH is currently facing an unrealized loss of 22.25 million USD.
BlockBeats News, August 16th, according to HyperInsight monitoring, in the past 30 minutes, "Brother Ma Ji" Huang Licheng's ETH long position has decreased by $944,600, and the current unrealized loss is about $4,992,900, with a liquidation price of $2,938.097;
In addition, the whale with address starting with 0x20c2d9 reduced its ETH short position by $801,100, and the current unrealized loss is about $22,256,000, with a liquidation price of $6,072.198.
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.
App