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Co-authored-by: jose-donato <zmcdonato@gmail.com>
Co-authored-by: jose-donato <43375532+jose-donato@users.noreply.github.com>
Co-authored-by: andrewkenreich <andrew.kenreich@gmail.com>
2023-10-30 21:01:29 +00:00

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title, description, keywords
title description keywords
il This page provides technical documentation for two imperative features in OpenBB's cryptocurrency tool suite: the Impermanent Loss calculation model and its corresponding chart display. Learn about their parameters, return types, and source code.
Cryptocurrency
Impermanent Loss
Impermanent Loss Model
Impermanent Loss Chart Display
Crypto Tool Suite
Crypto A
Crypto B
Liquidity Pool

import HeadTitle from '@site/src/components/General/HeadTitle.tsx';

import Tabs from '@theme/Tabs'; import TabItem from '@theme/TabItem';

Calculates Impermanent Loss in a custom liquidity pool

Source Code: [link]

openbb.crypto.tools.il(price_changeA: float, price_changeB: float, proportion: float, initial_pool_value: float)

Parameters

Name Type Description Default Optional
price_changeA float price change of crypto A in percentage None False
price_changeB float price change of crypto B in percentage None False
proportion float percentage of first token in pool None False
initial_pool_value float initial value that pool contains None False

Returns

Type Description
Tuple[pd.DataFrame, str] - pd.DataFrame: dataframe with results
- str: narrative version of results

Displays Impermanent Loss in a custom liquidity pool

Source Code: [link]

openbb.crypto.tools.il_chart(price_changeA: int, price_changeB: int, proportion: int, initial_pool_value: int, narrative: bool = False, export: str = "")

Parameters

Name Type Description Default Optional
price_changeA float price change of crypto A in percentage None False
price_changeB float price change of crypto B in percentage None False
proportion float percentage of first token in pool None False
initial_pool_value float initial value that pool contains None False
narrative str display narrative version instead of dataframe False True
export str Export dataframe data to csv,json,xlsx file True

Returns

This function does not return anything