Futures
Access hundreds of perpetual contracts
TradFi
Gold
One platform for global traditional assets
Options
Hot
Trade European-style vanilla options
Unified Account
Maximize your capital efficiency
Demo Trading
Introduction to Futures Trading
Learn the basics of futures trading
Futures Events
Join events to earn rewards
Demo Trading
Use virtual funds to practice risk-free trading
Launch
CandyDrop
Collect candies to earn airdrops
Launchpool
Quick staking, earn potential new tokens
HODLer Airdrop
Hold GT and get massive airdrops for free
Launchpad
Be early to the next big token project
Alpha Points
Trade on-chain assets and earn airdrops
Futures Points
Earn futures points and claim airdrop rewards
MongoDB's Voyage AI division has rolled out the voyage-4 model series, introducing a breakthrough approach to text embedding with shared embedding space architecture. The standout feature? You can switch between different models within the same family without triggering costly re-indexing operations. This addresses a major pain point for developers working with embedding-based applications—previously, model upgrades meant rebuilding your entire vector index. The unified embedding space approach simplifies deployment workflows and reduces operational overhead, making it easier for projects to optimize performance without infrastructure downtime.