LBANK Listing Fuels Bullish Momentum for WEEX Token (WXT)
The LBANK-WEEX partnership has ignited significant market activity, with WXT’s price climbing from 0.008to0.008to0.0098 within 72 hours. Over $28 million in WXT changed hands during this period, signaling strong investor confidence.
Tokenomics Driving Demand
WXT’s deflationary model—burning 2% of every transaction—creates scarcity as adoption grows. LBANK users now contribute directly to this mechanism, with daily burns exceeding 500,000 WXT since the listing. "This burn rate could reduce circulating supply by 5% annually," noted crypto economist Liam Carter.
Exclusive Perks for LBANK Users
To celebrate the listing, LBANK and WEEX are co-hosting a "Trade & Earn" campaign:
30% fee rebates for WXT futures trades.
Airdrops of 100 WXT for users holding 1,000+ WXT for 7 days.
Early access to WEEX’s upcoming NFT margin trading platform.
Institutional Adoption
LBANK reports that 15% of WXT trades originated from institutional accounts, including algorithmic trading firms and hedge funds. "WXT’s low volatility and high staking yields make it ideal for portfolio diversification," said LBANK’s Head of Listings, Maria Chen.
If you want to buy WEEX Token (WXT) now, you can sign up for a WEEX account directly.
Thank you for your support of WEEX!
WEEX Team
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.