Orca Whirlpool

DEX #58
$ 865,515.00
Volume

Coin Listings

All coin listings
# Coins Live Price Trading volume
1 USDC USDC $ 1.00
$ 23.05M
$ 23.05 million Swap
2 PayPal USD PYUSD $ 1.00
$ 3.13M
$ 3.13 million Swap
3 Global Dollar USDG $ 1.00
$ 2.45M
$ 2.45 million Swap
4 Metaplex MPLX $ 0.0401
$ 1.61M
$ 1.61 million Swap
5 Pump PUMP $ 0.00180
$ 740,200
$ 740,200 Swap
All Coins

New Coin Listings

Coins Live Price Listing
Apple tokenized stock (xStock) AAPLX $ 332.97
2 weeks ago
2w
Swap
Jimothy The Raccoon JIMOTHY $ 0.0131
2 weeks ago
2w
Swap
Arcium ARX $ 0.175
3 weeks ago
3w
Swap
febu FEBU $ 0.000941
3 weeks ago
3w
Swap
Lido DAO Token LDO $ 0.379
3 weeks ago
3w
Swap
All New Coins

Markets

Markets Live Price 24h volume
USDC / USDT Orca Whirlpool $ 1.00
$ 293,275
$ 293,275 Swap
USDC / EURC Orca Whirlpool $ 1.000
$ 125,042
$ 125,042 Swap
ANSEM / USDC Orca Whirlpool $ 0.197
$ 110,728
$ 110,728 Swap
PUMP / USDC Orca Whirlpool $ 0.00180
$ 81,397
$ 81,397 Swap
SPYX / USDC Orca Whirlpool $ 746.21
$ 72,412
$ 72,412 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.