- Buy Crypto
- Markets
Futures- Spot
- Copy Trade
- Earn
- More
"The 'ZEC Whale Short' Partially Takes Profit on MON Short, Cashing Out Nearly $1.47 Million"
BlockBeats News, January 12th, according to Hyperinsight monitoring, the whale address identified as the "ZEC Largest Short" (0xd47...) partially closed its MON short position to take profit, reducing about 44.75 million MON shorts, worth approximately $1.4686 million.
After this operation, the MON short position size dropped to $4.4146 million. The profit from this partial closure was approximately $0.6212 million, with a return rate of 42.21%. The average holding price of this position was $0.03, with the current liquidation price at $0.243.
This address is known for establishing a large short position on ZEC, starting to short ZEC from $184. At one point, it faced a floating loss of $21 million but later turned the loss into profit. Currently, it still holds a massive short position on ETH and MON.
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.
App