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
RootData is a Web3 asset data platform. It aims to bridge on-chain and off-chain data, presenting project information in a visual and structured manner to help users improve the quality of their investment decisions. The specific introduction is as follows:
- Functional Modules: RootData currently has seven functional modules online, including investment and financing, projects, investors, ecological map, tag mapping, tool navigation, and albums. For example, on the "investment and financing" page, users can view public investment and financing records in the crypto space and filter them by tags, financing scale, and more; on the "projects" page, users can find over 6400 Web3 projects and filter them by chain, investor, and other criteria.
- Data collection status: The platform has collected a large amount of data on Web3 projects, investment institutions, and individuals. Currently, over 6,400 Web3 projects have been recorded, with more than 100 new ones added each week, and it has also recorded over 3,000 investment institutions and individuals in the Web3 field.
- Data Processing Method: All project introductions are organized by professional analysts based on the project's official website, public reports, and other channels to ensure accuracy, comprehensiveness, and timeliness. The data goes through the processes of scraping, cleaning, summarizing, and entry, and each piece of data entered will undergo manual review, with community users also assisting in database construction.