Futures
Hundreds of contracts settled in USDT or BTC
TradFi
Gold
Trade global traditional assets with USDT in one place
Options
Hot
Trade European-style vanilla options
Unified Account
Maximize your capital efficiency
Demo Trading
Futures Kickoff
Get prepared for your futures trading
Futures Events
Participate in events to win generous rewards
Demo Trading
Use virtual funds to experience 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 enjoy airdrop rewards!
Futures Points
Earn futures points and claim airdrop rewards
Investment
Simple Earn
Earn interests with idle tokens
Auto-Invest
Auto-invest on a regular basis
Dual Investment
Buy low and sell high to take profits from price fluctuations
Soft Staking
Earn rewards with flexible staking
Crypto Loan
0 Fees
Pledge one crypto to borrow another
Lending Center
One-stop lending hub
VIP Wealth Hub
Customized wealth management empowers your assets growth
Private Wealth Management
Customized asset management to grow your digital assets
Quant Fund
Top asset management team helps you profit without hassle
Staking
Stake cryptos to earn in PoS products
Smart Leverage
New
No forced liquidation before maturity, worry-free leveraged gains
GUSD Minting
Use USDT/USDC to mint GUSD for treasury-level yields
Using Cursor and Gemini to figure things out in 2 hours, I want to share with everyone.
First, understand the Openmind OM1 documentation. Write a Python script to thoroughly digest it, then generate a compatible API interface. This step isn't that complicated, just reading the documentation and parsing the logic.
The key is the robot architecture part. To be honest, I was initially confused about this, but Cursor directly provided the complete framework code, saving a lot of trouble. Once the code is generated, the next step is to go to the Dashboard for configuration and testing.
Using the right tools can indeed make things twice as easy with half the effort. For those who are not from a formal background, AI coding assistants can now help handle many technical details. If you're interested, you can try it yourself.