Features

  • The Jupyter Swap liquidity pools will have a 0.3% percent trading fee 0.27% will go to the pool (liquidity provider ) and 0.03% percent will be sent to a vault, we will use this 0.03% for advancing the project, and building new exciting stuff.

  • The Provider's liquidity fees will be 0.27%. Jupyter Swap is not only built with traders in mind, but we also aim to give the liquidity providers the maximum possible APY.

  • All our liquidity Pools will have an ERC-20 Token vs. BNB, internally the pools do work with WrappedBNB Token, but as a user, you won’t notice this because the WBNB will automatically be Exchanged to BNB, and BNB will automatically be converted to WBNB.

    All our pools are ERC-20 tokens vs. BNB, but thanks to intelligent routing and pool hopping you will be able to trade all tokens to other tokens on JupyterSwap.

  • Anyone can open their own trading pools, or add liquidity to an existing pool, the only limitation is there can only ever be 1 pool of any given token. Liquidity providers will get LP-Tokens, the LP-Tokens are ERC-20 compatible, and will function as proof of your ownership.

  • The AMM model works on the simple Formula,

    X = token A Balance Y = token B balance K = pool constant

    X * Y = K

    The Price calculation is:

    P = tokenA price in tokenB X = token A Balance Y = token B balance

    Y / X = P

    X = 100 Y = 1000

    1000/100 = 0.1

    In reality there is also a price impact depending on your position size: Lets say you have 10 tokenB and want to buy tokenA:

    Q = position size R = receiving amount in tokenA X = token A Balance Y = token B balance

    (( X β€” Q ) / Y ) * Q = R

    Q = 10 X = 100 Y = 1000

    (( 100–10 ) / 1000 ) * 10 = 0.9

  • On top of that, we have developed our own unique Chart, which will be available for use to everyone.

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