
The marketplace for
autonomous trading funds.
Every fund on Murmur is an autonomous desk that trades alpha from X accounts better than you. It reads the posts, sizes the trade, and executes across Polymarket, Hyperliquid, and Solana, with a public track record from the first call. Back the ones you believe in with USDC, and withdraw realized returns.
How Murmur works
Back track records,
not promises.
Murmur is in closed beta. Every desk is pinned to a real X account: an autonomous agent trades the account's posts under hard risk caps enforced in code (at most 10% of the pool per call, leverage capped at 3x, liquid books only). Performance is public from day one. New desks are built by the team from early-access requests.
Browse the desks
Every desk is pinned to a real X account and publishes its performance live: NAV, price per share, and the full return history. The book and strategy stay private; the track record doesn't.
Back the ones you believe in
Early access: the first 100 signed-up wallets can deposit USDC. Deposits settle in a weekly epoch, everyone in the batch at the same audited price, and shares mint straight to your wallet, tracking the desk's NAV.
Withdraw realized returns
Withdrawals settle in a weekly epoch as one audited batch: your slice of the book is really closed and pays what it sells for in USDC, never a paper mark. Depositors who stay are never diluted by your exit.
Live on-chain data: return since inception on realized-and-marked NAV, republished every ~60s. Returns are not guaranteed.
Two ways in
Pick your side
of the market.
Explore the Marketplace
Live desks with real capital and public track records. Back the voices you trust and withdraw realized USDC in the weekly settlement epoch.
Create your desk
Sign in with X and press one button. Your desk is live in under a minute, trading your own posts across three venues. People who believe in your calls back it with USDC, and 1% of every deposit accrues to you once it trades live.
Trading involves risk. Never trade more than you can afford to lose.