BalancerPy 1.0.3

Balancer Analytics with Python

balancerpy

Python package for Balancer V2 modelling

Install

To install package:

> git clone https://github.com/defipy-devs/balancerpy
> pip install .

or

> pip install BalancerPy

Balancer

• See test notebook for basic usage

from balancerpy import *

user_nm = 'user_test'

amt_dai = 10000000
denorm_wt_dai = 10

amt_eth = 67738.6361731024
denorm_wt_eth = 40

init_pool_shares = 100

dai = ERC20("DAI", "0x111")
dai.deposit(None, amt_dai)

weth = ERC20("WETH", "0x09")
weth.deposit(None, amt_eth)

bgrp = BalancerVault()
bgrp.add_token(dai, denorm_wt_dai)
bgrp.add_token(weth, denorm_wt_eth)

bfactory = BalancerFactory("WETH pool factory", "0x2")
exchg_data = BalancerExchangeData(vault = bgrp, symbol="LP", address="0x011")
lp = bfactory.deploy(exchg_data)

Join().apply(lp, user_nm, init_pool_shares)
lp.summary()

OUTPUT:

Balancer Exchange: DAI-WETH (LP)
Reserves: DAI = 10000000, WETH = 67738.6361731024
Weights: DAI = 0.2, WETH = 0.8
Pool Shares: 100

Swap (out-given-in)

amt_tkn_in = 10000
tkn_in = dai
tkn_out = weth

res = Swap(Proc.SWAPOUT).apply(lp, tkn_in, tkn_out, user_nm, amt_tkn_in)
lp.summary()

print(f"{amt_tkn_in} {tkn_in.token_name} was swapped into {res['tkn_out_amt']} {tkn_out.token_name}")

OUTPUT:

Balancer Exchange: DAI-WETH (LP)
Reserves: DAI = 10010000, WETH = 67721.75437414162
Weights: DAI = 0.2, WETH = 0.8
Pool Shares: 100

10000 DAI was swapped into 16.881798960778035 WETH

Swap (out-given-in)

amt_tkn_out = 20
tkn_out = weth
tkn_in = dai

res = Swap(Proc.SWAPIN).apply(lp, tkn_in, tkn_out, user_nm, amt_tkn_out)
lp.summary()

print(f"{amt_tkn_out} {tkn_out.token_name} was swapped into {res['tkn_in_amt']} {tkn_in.token_name}")

OUTPUT:

Balancer Exchange: DAI-WETH (LP)
Reserves: DAI = 9998136.750149786, WETH = 67741.75437414162
Weights: DAI = 0.2, WETH = 0.8
Pool Shares: 100

20 WETH was swapped into 11863.249850213939 DAI