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8 changes: 4 additions & 4 deletions examples/price_impact.py
Original file line number Diff line number Diff line change
Expand Up @@ -27,7 +27,7 @@ def usdt_to_vxv_v2():

# Compare the results with the output of:
# https://app.uniswap.org/#/swap?use=v2&inputCurrency=0xdac17f958d2ee523a2206206994597c13d831ec7&outputCurrency=0x7d29a64504629172a429e64183d6673b9dacbfce
qty = 10 * 10 ** 8
qty = 10 * 10**8

# price = uniswap.get_price_input(usdt, vxv, qty, route=route) / 10 ** 18
# print(price)
Expand All @@ -38,7 +38,7 @@ def usdt_to_vxv_v2():
# The slippage for v3 (in example below) returns correct results.
print(f"Impact for buying VXV on v2 with {qty / 10**8} USDT: {_perc(impact)}")

qty = 13900 * 10 ** 8
qty = 13900 * 10**8
impact = uniswap.estimate_price_impact(usdt, vxv, qty, route=route)
print(f"Impact for buying VXV on v2 with {qty / 10**8} USDT: {_perc(impact)}")

Expand All @@ -49,11 +49,11 @@ def eth_to_vxv_v3():

# Compare the results with the output of:
# https://app.uniswap.org/#/swap?use=v3&inputCurrency=ETH&outputCurrency=0x7d29a64504629172a429e64183d6673b9dacbfce
qty = 1 * 10 ** 18
qty = 1 * 10**18
impact = uniswap.estimate_price_impact(eth, vxv, qty, fee=10000)
print(f"Impact for buying VXV on v3 with {qty / 10**18} ETH: {_perc(impact)}")

qty = 100 * 10 ** 18
qty = 100 * 10**18
impact = uniswap.estimate_price_impact(eth, vxv, qty, fee=10000)
print(f"Impact for buying VXV on v3 with {qty / 10**18} ETH: {_perc(impact)}")

Expand Down
8 changes: 8 additions & 0 deletions tests/test_uniswap.py
Original file line number Diff line number Diff line change
Expand Up @@ -69,6 +69,7 @@ def test_assets(client: Uniswap):
"""
tokens = get_tokens(client.netname)


for token_name, amount in [
("DAI", 10_000 * ONE_DAI),
("USDC", 10_000 * ONE_USDC),
Expand Down Expand Up @@ -133,6 +134,13 @@ def does_not_raise():
yield



ONE_ETH = 10**18
ONE_USDC = 10**6

ZERO_ADDRESS = "0x0000000000000000000000000000000000000000"


# TODO: Change pytest.param(..., mark=pytest.mark.xfail) to the expectation/raises method
@pytest.mark.usefixtures("client", "web3")
class TestUniswap(object):
Expand Down
9 changes: 7 additions & 2 deletions uniswap/constants.py
Original file line number Diff line number Diff line change
Expand Up @@ -78,7 +78,12 @@
MAX_TICK = -MIN_TICK

# Source: https://github.com/Uniswap/v3-core/blob/v1.0.0/contracts/UniswapV3Factory.sol#L26-L31
_tick_spacing = {100:1, 500: 10, 3_000: 60, 10_000: 200}
_tick_spacing = {100: 1, 500: 10, 3_000: 60, 10_000: 200}

# Derived from (MIN_TICK//tick_spacing) >> 8 and (MAX_TICK//tick_spacing) >> 8
_tick_bitmap_range = {100:(-3466, 3465), 500: (-347, 346), 3_000: (-58, 57), 10_000: (-18, 17)}
_tick_bitmap_range = {
100: (-3466, 3465),
500: (-347, 346),
3_000: (-58, 57),
10_000: (-18, 17),
}
10 changes: 9 additions & 1 deletion uniswap/uniswap.py
Original file line number Diff line number Diff line change
Expand Up @@ -33,6 +33,7 @@
encode_sqrt_ratioX96,
is_same_address,
nearest_tick,
realised_fee_percentage,
)
from .decorators import supports, check_approval
from .constants import (
Expand Down Expand Up @@ -1926,7 +1927,14 @@ def estimate_price_impact(
cost_amount / (amount_in / (10 ** self.get_token(token_in).decimals))
) / 10 ** self.get_token(token_out).decimals

return float((price_small - price_amount) / price_small)
# calculate and subtract the realised fees from the price impact. See:
# https://github.com/uniswap-python/uniswap-python/issues/310
# The fee calculation will need to be updated when adding support for the AutoRouter.
price_impact_with_fees = float((price_small - price_amount) / price_small)
fee_realised_percentage = realised_fee_percentage(fee, amount_in)
price_impact_real = price_impact_with_fees - fee_realised_percentage

return price_impact_real

# ------ Exchange ------------------------------------------------------------------
@supports([1, 2])
Expand Down
16 changes: 16 additions & 0 deletions uniswap/util.py
Original file line number Diff line number Diff line change
Expand Up @@ -126,3 +126,19 @@ def nearest_tick(tick: int, fee: int) -> int:
def chunks(arr: Sequence[Any], n: int) -> Generator:
for i in range(0, len(arr), n):
yield arr[i : i + n]


def fee_to_fraction(fee: int):
return fee / 1000000


def realised_fee_percentage(fee: int, amount_in: int) -> float:
"""
Calculate realised fee expressed as a percentage of the amount_in.
The realised fee is rounded up as fractional units cannot be used -
this correlates to how the fees are rounded by Uniswap.
"""

fee_percentage = fee_to_fraction(fee)
fee_realised = math.ceil(amount_in * fee_percentage)
return fee_realised / amount_in