Orca Whirlpool

DEX #55
$ 3.67M
Volume

Coin Listings

All coin listings
# Coins Live Price Trading volume
1 USDC USDC $ 1.00
$ 73.75M
$ 73.75 million Swap
2 Global Dollar USDG $ 1.00
$ 8.99M
$ 8.99 million Swap
3 PayPal USD PYUSD $ 1.00
$ 3.13M
$ 3.13 million Swap
4 Pump PUMP $ 0.00195
$ 2.72M
$ 2.72 million Swap
5 Tether USD USDT $ 1.000
$ 1.67M
$ 1.67 million Swap
All Coins

New Coin Listings

Coins Live Price Listing
Apple tokenized stock (xStock) AAPLX $ 329.16
3 days ago
3d
Swap
Jimothy The Raccoon JIMOTHY $ 0.0177
4 days ago
4d
Swap
Arcium ARX $ 0.175
2 weeks ago
2w
Swap
febu FEBU $ 0.00200
2 weeks ago
2w
Swap
Lido DAO Token LDO $ 0.391
2 weeks ago
2w
Swap
All New Coins

Markets
Markets Live Price 24h volume
USDC / USDT Orca Whirlpool $ 1.00
$ 1.35M
$ 1.35 million Swap
SPYX / USDC Orca Whirlpool $ 752.48
$ 1.31M
$ 1.31 million Swap
FARTCOIN / USDC Orca Whirlpool $ 0.140
$ 299,828
$ 299,828 Swap
SPYX / USDC Orca Whirlpool $ 752.42
$ 275,430
$ 275,430 Swap
TSLAX / USDC Orca Whirlpool $ 380.92
$ 82,824
$ 82,824 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.