On-Chain Whale Activity Overview: "100% Win Rate Whale" Achieves 13 Consecutive Wins, Meme Coin Bitcoin OG Continues to Sell
BlockBeats News, October 29, according to on-chain analysts Ai Yi, EmberCN, Onchainlens, and AI analysis tool CoinBob (@CoinbobAI_bot), today's on-chain whale activities are as follows:
The most-watched "100% win rate whale" has maintained 13 consecutive profitable trades, but saw a $12.68 million drawdown in the past 24 hours. This morning, after a slight market dip, the whale closed its $250.7 million worth 13x leveraged BTC long position, realizing a $1.4 million profit. It currently holds a 10x leveraged ETH long position worth $190 million, with the profit narrowing down to $800,000; and a 10x leveraged SOL long position worth $74 million, with a $1.5 million loss.
The counterpart of the "100% win rate whale," address "0x218...B7Da2," holds a profitable ETH short position on Hyperliquid worth nearly $1 million. This whale initiated a short position with 3,464.4 ETH yesterday morning, increased it to 7,199.75 ETH in the evening, currently holding a position exceeding $28.61 million, with an average entry price of $4,128.15.
Early Bitcoin investor and Dogecoin OG whale Owen Gunden deposited 1,447.56 BTC to Kraken this morning, worth $163 million. Over the past two weeks, Owen Gunden has deposited a total of 5,803 BTC to Kraken, with a total value of $649.6 million.
"Soulmate" Huang Licheng deposited 643,939 USDC to HyperLiquid in the past 17 hours to further increase his ETH (25x leverage) and HYPE (10x leverage) long positions. Currently, his ETH long position is worth $16.73 million, and the HYPE long position is worth $5.4 million. Remarkably, the total profit of the two positions is approximately $560,000. The "Soulmate" account is currently reporting a total loss of $12.99 million.
A whale sold 6,000 ETH purchased at the bottom for $1,582 six months ago, realizing a $14.43 million profit. This whale had previously accumulated 8,240 ETH at $1,195 at the end of 2022, sold it in July 2024 at $2,961, and made a profit of $14.49 million.
This morning, a new address belonging to Ethereum's first treasury management firm, Bitmine, with address "0xDc8," received 27,316 ETH via BitGo, amounting to $108.92 million.
You may also like

What are the common traits of people who founded a $5 Billion+ company before the age of 23?

Why Hasn't $160 Billion Stripe Gone Public?

All the AI News You Need to Know is Here, Lyrical Officially Launches AI News Feed

Bitwise: Why Bitcoin Is Destined to Impact a Million Dollars?

Amid Geopolitical Turmoil, Tokenized Gold Emerges Alongside Round-the-Clock On-Chain Markets

Who Longs War on Polymarket?

4 AI Trading Strategy Lessons from WEEX Hackathon Finalist
Finalist Bambi shares how AI tools helped turn real trading experience into an automated strategy, why survival-first risk control shaped the system’s design, and how the approach will evolve ahead of WEEX AI Trading Hackathon Season 2.

Hong Kong Crypto Ecosystem 2.0: Stablecoins, RWA, and the New Battleground for Financial Institutions

Polymarket Arbitrage Bible: The Real Gap is in the Mathematical Infrastructure

Crypto Barbarians Jupiter Series: Still Owes the Market an Answer

Bank Card Payment vs. Stablecoin Payment: Which is More Suitable for AI Agents?

Zuck is really out of touch! He actually acquired a dated Lobster-based social platform?

Key Market Information Discrepancy on March 11th - A Must-See! | Alpha Morning Report

How to Deal with Trump? Accept this "Art of the Deal Playbook"

AI Computing Power Arms Race Intensifies: This Startup Aims to Mine Bitcoin in Space

Claude Code launches the /btw feature, Musk X Money set to launch soon, what's the English community talking about today?

Polymarket Arbitrage Bible: The Real Edge is in the Math Infrastructure

What Is OpenClaw? How The AI Agent Could Automate Crypto Trading Through APIs
OpenClaw is a rapidly growing AI agent on GitHub that can automate tasks and even execute crypto trades through exchange APIs. Learn how OpenClaw works, how it connects to exchanges, and the risks traders should understand before using AI trading agents.