pvp.trade Perps
Key Metrics
Fees 30d$7,485
Fees 30d by chain
Hyperliquid L1$7,485
Fees 7d$1,640
Hyperliquid L1$1,640
Fees 24h$172
Hyperliquid L1$172
Cumulative Fees$8.01m
Hyperliquid L1$8.01m
Revenue 30d$7,485
Revenue 30d by chain
Hyperliquid L1$7,485
Revenue 7d$1,640
Hyperliquid L1$1,640
Revenue 24h$172
Hyperliquid L1$172
Cumulative Revenue$8.01m
Hyperliquid L1$8.01m
Perp Volume 30d$21.35m
Perp Volume 30d by chain
Hyperliquid L1$21.35m
Perp Volume 7d$4.66m
Hyperliquid L1$4.66m
Perp Volume 24h$470,742
Hyperliquid L1$470,742
Cumulative Perp Volume$3.973b
Hyperliquid L1$3.973b
Protocol Information
pvp.trade is a Telegram-based trading bot built into Hyperliquid’s ecosystem. It enables users to execute spot and perpetual futures trades directly from their Telegram groups, without visiting Hyperliquid’s native UI
Sub Category: Hyperliquid Builder
Methodology
Fees: builder code revenue from Hyperliquid Perps Trades.View code on GitHubRevenue: builder code revenue from Hyperliquid Perps Trades.View code on GitHubPerp Volume: Notional volume of all trades including leverage on the perp exchangeView code on GitHubCompetitors
Frequently Asked Questions
What chains does pvp.trade Perps operate on?
pvp.trade Perps operates on Hyperliquid L1.
How much has pvp.trade Perps generated in fees and revenue?
Over the past 30 days, pvp.trade Perps generated $7,485 in fees. Of that, $7,485 was protocol revenue. Based on the trailing year, the annualized rate is $459,436 in fees and $459,436 in revenue.
How does pvp.trade Perps' TVL compare to similar protocols?
Among Interface protocols tracked by DefiLlama, pvp.trade Perps ranks #9 by TVL. The category holds $729,552 across 318 protocols, and pvp.trade Perps accounts for 0% of that total. Other leading protocols include Ventuals, LiquidBots, Jupiter Prediction, otomate.trade, DESK CLOB, DFlow Prediction Market, Raydium Perps, PriveX, Axiom Perps, and Phantom Perps.
How much perpetual futures volume does pvp.trade Perps process?
pvp.trade Perps processed $21.35m in perpetual futures volume over the past 30 days.

