Bitget has integrated Robinhood Chain, a Layer-2 blockchain built on Arbitrum technology, into its Onchain trading platform, allowing users to trade tokenized real-world assets, including U.S. stocks and ETFs, directly through their spot wallets using U (United Stables). The integration, announced September 24, 2026, expands Bitget’s multi-network trading ecosystem to six major blockchains.
- Supported Networks: Robinhood Chain, MORPH, Ethereum, Solana, Binance Smart Chain, and Base
- Gas-Free Trading: Over 100 selected U.S. stock tokens incur no network fees
- Transaction Fee: 0.5% on all trades, with variable on-chain gas fees applied except for stock tokens
- Platform Tools: AI Smart Money copy trading, EMA indicators, on-chain limit orders, and professional charting capabilities
Robinhood Chain serves as an Ethereum-compatible bridge connecting traditional financial assets with decentralized applications. The network supports tokenized stocks, ETFs, and other real-world assets that users can hold, transfer, and deploy across DeFi protocols. Built with EVM compatibility and standard developer tools including Hardhat and Foundry, the chain uses ETH for gas payments.
Bitget has implemented AI-driven risk controls that scan on-chain assets for malicious code, honeypot mechanisms, and abnormal minting patterns. Tokens flagged for security risks are automatically disabled from purchase, though existing holders retain the ability to sell. The platform emphasizes that asset availability does not constitute endorsement of any project, and reserves the right to migrate high-performing assets from Onchain trading to its spot trading section on a one-way, irreversible basis.
The company noted that on-chain order execution occurs directly in decentralized markets, where price fluctuations may exceed those in centralized spot trading. Users are advised to review order details, including execution price and actual settlement amounts, before confirming trades, as market volatility, liquidity constraints, and blockchain fees may cause actual amounts to differ from displayed estimates.
