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Orca Whirlpool

DEX #45
$40.05M
Volume

Coin Listings

All coin listings
# Coins Live Price Trading volume
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1 USDC USDC $1.00
$287.28M
$287.28 million Swap
2 Wrapped Ether (Wormhole) WETH $2,237.82
$33.07M
$33.07 million Swap
3 PayPal USD PYUSD $1.00
$12.34M
$12.34 million Swap
4 Pump.fun PUMP $0.00409
$9.08M
$9.08 million Swap
5 Jupiter Perps LP JLP $4.35
$8.15M
$8.15 million Swap
All Coins

New Coin Listings

Coins Live Price Listing
AVA (Travala) AVA $0.483
7 days ago
7d
Swap
USD.AI CHIP $0.0443
2 weeks ago
2w
Swap
United States Oil Fund (Ondo Tokenized) USOon $161.96
2 weeks ago
2w
Swap
Orderly Network ORDER $0.0471
3 weeks ago
3w
Swap
Hooked Hooked $0.00233
4 weeks ago
4w
Swap
All New Coins

Markets
Markets Live Price 24h volume
KMNO / USDC Orca Whirlpool $0.0334
$4.41M
$4.41 million Swap
PYUSD / USDC Orca Whirlpool $1.00
$3.96M
$3.96 million Swap
JLP / USDC Orca Whirlpool $4.35
$3.37M
$3.37 million Swap
USDG / USDC Orca Whirlpool $1.00
$2.89M
$2.89 million Swap
MPLX / USDC Orca Whirlpool $0.0696
$2.38M
$2.38 million Swap
All Markets

About Orca Whirlpool

Orca Whirlpools are concentrated liquidity pools on the Solana blockchain, designed to enhance capital efficiency and provide better trading experiences. Unlike traditional constant product AMMs, Whirlpools allow liquidity providers (LPs) to allocate their assets within specific price ranges, optimizing yield and reducing slippage for traders.
Learn more

Key Features

  • Improved Trade Execution
    Traders benefit from lower slippage and tighter spreads due to liquidity concentration around active price ranges.
    Medium article

  • Open-Source and Audited
    The Whirlpools smart contracts are publicly available and have undergone audits to ensure security.
    GitHub

Getting Started

Developers and LPs can refer to the “Tour de Whirlpool” tutorial, which covers:

  • Viewing token balances
  • Swapping tokens
  • Managing LP positions (open, adjust, harvest fees)
  • Closing LP positions

Considerations

  • LPs may need to actively manage positions to maintain optimal price range exposure.
  • Trading efficiency depends on liquidity depth and user activity within price ranges.