Capital Efficiency Calculator

See how much less capital you need when prediction markets and perps share one margin account on Hyperliquid.

Your Positions

Presets:

Polymarket + CEX

Capital Required

$100,000

Efficiency100%
Idle Yield$0/yr
Platforms2-3 separate
Cross-MarginNone

Hyperliquid HIP-4

Capital Required

$89,800

Efficiency100%
Idle Yield~$510/yr
Platforms1 unified
Cross-MarginSpot + Perps + PM

You Save on HIP-4

$10,200

10% less capital needed + ~$510/yr yield on freed capital

1

Unified Account

Perps, spot, and prediction markets in one margin pool

2

Cross Netting

Correlated positions offset each other, reducing margin 30-60%

3

Idle Yield

Freed capital earns 4-8% APY lending automatically

4

One Platform

No splitting funds across Polymarket, CEXs, and DeFi

Why This Matters

$451M locked doing nothing

Polymarket currently holds $451M in open interest. Over half is locked in markets that won't resolve for 30+ days. On Polymarket, that capital earns zero yield and can't be used as margin for anything else.

100K wallets, $6.1B in overlap

Research shows 100,693 wallets are active on both Polymarket and Hyperliquid. That's only 3.3% of PM users, but they generate 11.8% of all Polymarket volume ($6.1B). These are the most sophisticated traders in crypto, forced to split their capital across platforms.

Portfolio margin changes everything

Hyperliquid's portfolio margin already lets spot and perps offset each other. When HIP-4 outcome contracts are integrated into this system, a trader holding BTC perps and a "BTC above $120K" prediction can have their correlated risk automatically netted, reducing total margin by 30-60%.

7x leverage multiplier effect

The average dual-platform user runs 7x leverage on their HL perps. Every dollar freed from idle prediction market lockup translates to $7 in potential perps notional. $18.3M in Polymarket positions from overlapping whales = $128M in lost trading capacity.

Data sourced from on-chain wallet analysis by @cbus and Hyperliquid documentation. Portfolio margin savings are estimates based on typical correlation-based netting. Actual savings depend on position composition and HL's margin engine parameters.