- Buy Crypto
- Markets
Futures- Spot
- Copy Trade
- Earn
- More
Hyperliquid experienced a short-term presence of 13 large buy orders, with a whale starting with 0x15df covering a 3300 ETH short position to break even.
BlockBeats News, January 22, according to Hyperinsight monitoring, Hyperliquid saw 13 large buy orders of over $2 million in a short period of time. A whale starting with 0x15df closed a 3300 ETH short position at nearly breakeven price through 13 buy orders, totaling about $9.98 million, with a profit of approximately $32,000. Subsequently, the address used some of the funds to continue to increase its long position in AXS.
The address currently holds a 5x leveraged long position in AXS, with a position size of 530,000 tokens, worth about $1.42 million, with an unrealized profit of about $5,973 and a liquidation price of around $2.107.
You may also like
Is the income of pump.fun real, earning a million dollars a day despite the market downturn?
The real reason why tokens are not selling: 90% of crypto projects neglect investor relations
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
Is the income of pump.fun real, earning a million dollars a day despite the market downturn?
The real reason why tokens are not selling: 90% of crypto projects neglect investor relations
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.
App