# 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.<br>
* 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.<br>
* 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.<br>
* 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.<br>
* 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 — Q ) / Y ) \* Q = R

  Q = 10\
  X = 100\
  Y = 1000

  (( 100–10 ) / 1000 ) \* 10 = 0.9<br>
* On top of that, we have developed our own unique Chart, which will be available for use to everyone.&#x20;

<br>


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