Futures
Access hundreds of perpetual contracts
CFD
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
Pre-IPOs
Unlock full access to global stock IPOs
Alpha Points
Trade on-chain assets and earn airdrops
Futures Points
Earn futures points and claim airdrop rewards
Promotions
AI
Gate AI
Your all-in-one conversational AI partner
Gate AI Bot
Use Gate AI directly in your social App
GateClaw
Gate Blue Lobster, ready to go
Gate for AI Agent
AI infrastructure, Gate MCP, Skills, and CLI
Gate Skills Hub
10K+ Skills
From office tasks to trading, the all-in-one skill hub makes AI even more useful.
GateRouter
Smartly choose from 40+ AI models, with 0% extra fees
Recently, earning testnet points feels a bit like a gym membership card: originally for practicing moves, but as you keep at it, everyone starts calculating "how much money I can get back from this card later"... Once it takes off, people unconsciously start increasing their time, their stakes, and their emotions. My stop-loss is pretty simple: treat it as a cost center, set a limit for myself on "how many sleepless nights / days of energy / Gas fees I'm willing to lose," and stop once I reach it, regardless of how the group screams for the next wave. Anyway, when points aren’t worth much, it’s easiest to get hooked, and on the day tokens are actually issued, I’ll be scared by the unlock calendar again. Staking unlocks and the resulting sell pressure anxiety have been around for a while. Honestly, don’t let a “possible airdrop” turn into a project you feel you must win. What I don’t regret is… deleting the wool list from several chains early on, leaving some brainpower to understand what the token models rely on to sustain themselves.