Hyperliquid’s breakout
Hyperliquid claims ~ $700M in annualized revenue, ~$200B in monthly trading volume and up to an 80% share of on‑chain perpetuals — it runs a trading‑optimized L1 (Hypercore) with zero gas fees and asynchronous HyperBFT consensus. Its HYPE token reportedly routes 99% of trading fees into buybacks-and-burns, airdropped 31% of supply, 11 employees manage roughly $4B TVL, and Grayscale has filed a Hyperliquid ETF — a rapid infrastructure+ETF push to watch. ( )
Hyperliquid validators voted to reclassify roughly 37 million HYPE — valued at about $900M–$1B — in the protocol’s Assistance Fund as permanently burned, a governance move finalized in a December 2025 vote to remove the tokens from reported supply. (theblock.co)) The protocol’s native trading engine, HyperCore, and its docs state capacity of up to ~200,000 orders per second with median end‑to‑end latency near 0.2s, while its HyperBFT consensus (a HotStuff‑inspired design) delivers one‑block deterministic finality. (hyperliquid.gitbook.io)) HyperCore’s fully on‑chain central limit order book is now linked to HyperEVM on mainnet, enabling token transfers and “spotSend” actions between the trading engine and the EVM layer so builders can tap order‑book liquidity from smart contracts. (theblock.co)) Hyperliquid funded a Washington, D.C. policy shop with a donation of 1 million HYPE (about $28M–$29M at announcement) and named crypto lawyer Jake Chervinsky as the Hyperliquid Policy Center’s founding CEO to lobby U.S. regulators on DeFi perpetuals. (thecoinrepublic.com)) Grayscale’s S‑1 for a proposed spot HYPE ETF was filed March 20, 2026, seeking Nasdaq listing under ticker GHYP and naming Coinbase Custody as the proposed custodian with CoinDesk pricing benchmarks referenced in the filing. (coira.io)) Protocol documentation and third‑party trackers describe an Assistance Fund mechanism that auto‑converts trading fees into HYPE and routes roughly 97–99% of fees into buybacks and burns; on‑chain buyback analytics and treasury trackers have been publishing cumulative buyback and burn figures. (tokenomist.ai))
