IDEAS home Printed from https://ideas.repec.org/h/spr/lnopch/978-3-031-18679-0_13.html
   My bibliography  Save this book chapter

Wombat—An Efficient Stableswap Algorithm

In: Mathematical Research for Blockchain Economy

Author

Listed:
  • Jen Houng Lie

    (The University of Hong Kong)

  • Tony W. H. Wong

    (Kutztown University of Pennsylvania
    Wombat Exchange)

  • Alex Yin-ting Lee

    (The University of Hong Kong
    Wombat Exchange)

Abstract

Curve Finance invented the first stableswap-focused algorithm. However, its algorithm involves (1) solving complex polynomials and (2) requiring assets in the pool to have the same size of liquidity. This paper introduces a new stableswap algorithm–Wombat, to address these issues. Wombat uses a closed-form solution, so it is more gas efficient and adds the concept of asset-liability management to enable single-side liquidity provision, which increases capital efficiency. Furthermore, we derive efficient algorithms from calculating withdrawal or deposit fees as an arbitrage block. Wombat is named after the short-legged, muscular quadrupedal marsupials native to Australia. As Wombats are adaptable and habitat-tolerant animals, the invariant created is also adaptable and tolerant to liquidity changes.

Suggested Citation

  • Jen Houng Lie & Tony W. H. Wong & Alex Yin-ting Lee, 2023. "Wombat—An Efficient Stableswap Algorithm," Lecture Notes in Operations Research, in: Panos Pardalos & Ilias Kotsireas & Yike Guo & William Knottenbelt (ed.), Mathematical Research for Blockchain Economy, pages 233-251, Springer.
    • Handle: RePEc:spr:lnopch:978-3-031-18679-0_13
    DOI: 10.1007/978-3-031-18679-0_13
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:lnopch:978-3-031-18679-0_13. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.