「Strategy Opponent Liquidation」 Close Take-Profit BTC, ETH Short Positions, Reversal to Open $12M Long Position in BTC
BlockBeats News, February 24th, according to Coinbob Popular Address Monitoring, the "Strategy Whale" address (0x94d) today closed all its BTC and ETH short positions to take profit. Specifically, this includes: an ETH short position of $31.74 million opened two days ago, a BTC short position of $13.58 million, and a BTC short position of approximately $40.74 million opened and closed for profit within two hours today.
Subsequently, within the past hour, the address opened a 40x leveraged long position on BTC, with a position size of $11.97 million, an average price of $63,275. Currently, the address still has $11.80 million in unused margin, with a profit of $2.85 million in the past 7 days.
This address started accumulating positions in December last year, with an initial account size of around $20 million, and gradually increased short positions on mainstream coins such as BTC and ETH. Due to its trading direction opposite to the publicly-traded company MicroStrategy, which has been continuously purchasing BTC, this address is seen by the market as a clear "on-chain opponent."
You may also like

Who is the true winner of the "Tokenization" narrative?

Moss: The Era of AI-Traded by Anyone | Project Introduction

Chip Smuggling Case Exposes Regulatory Loophole | Rewire News Evening Update

How a Structured AI Crypto Trading Bot Won at the WEEX Hackathon
Ritmex demonstrates how disciplined risk control and structured signals can make an AI crypto trading bot more stable and reliable on WEEX, highlighting the importance of combining execution discipline with scalable AI trading systems.

Old Indicator Fails, Three Major New Signals Emerge: BTC True Bottom May Still Be Below $60K

Meeting OpenClaw Founder at a Hackathon: What Else Can Lobsters Do?

Huang Renxun's Latest Podcast Transcript: NVIDIA's Future, Embodied Intelligence and Agent Development, Soaring Demand for Inferencing, and AI's PR Crisis
How a Structured AI Crypto Trading Bot Won at the WEEX Hackathon
Crypto_Trade shows how structured inputs and controlled adaptability can build a more stable and reliable AI crypto trading bot within the WEEX AI Trading Hackathon, highlighting a practical path toward scalable AI trading systems.

AI Starts to Devour the Manufacturing Industry | Rewire News Morning Edition

When Scaling Meets Speed, Ethereum Foundation Introduces "Hardness" to Safeguard the Base Layer

Google, Circle, Stripe Flock Together to Let AI Spend Money: Payment Giants' Joys and Worries in 2026 Q1

$100 Billion Factory Purchase: Bezos and Middle Eastern Capital Shift AI Money from Cloud to Shop Floor

Xiaomi and MiniMax both unleash their ultimate moves, signaling the start of the Agent Pricing War.

Predicting markets has taken the spotlight, but the Perp DEX has been quietly waging war on traditional exchanges.

Is the Market Slump Still Making Millions a Day? Is pump.fun's Revenue Real?

Understanding x402 and MPP in One Article: The Two Paths of Agent Payments

Quick Look at the Latest 18 Graduation Projects from Alliance: Who's the Next Pump.fun?

It's not just the prediction market that profits from the Iraq War
Who is the true winner of the "Tokenization" narrative?
Moss: The Era of AI-Traded by Anyone | Project Introduction
Chip Smuggling Case Exposes Regulatory Loophole | Rewire News Evening Update
How a Structured AI Crypto Trading Bot Won at the WEEX Hackathon
Ritmex demonstrates how disciplined risk control and structured signals can make an AI crypto trading bot more stable and reliable on WEEX, highlighting the importance of combining execution discipline with scalable AI trading systems.