python-CryptoPrice 0.1.0

Library to retrieve price or candle history of crypto assets using multiple sources

Note

This library is under development by EtWnn, feel free to drop your suggestions or remarks in the discussion tab of the git repo. You are also welcome to contribute by submitting PRs.

This library is made to retrieve price or candle history of crypto assets using multiple sources.

Source Code:

https://github.com/EtWnn/CryptoPrice

Documentation:

https://cryptoprice.readthedocs.io

Features

The idea is to have under a single library several price history API to be able to fetch effortlessly the price of large amount of different tokens or to compare the price difference between exchanges.

It currently includes:

• Binance API

• Kucoin API

• Cross-API logic

Quick Tour

Installation

CryptoPrice is available on PYPI, install with pip:

pip install CryptoPrice

You can also install the latest developments (not stable):

pip install git+https://github.com/EtWnn/CryptoPrice.git@develop

Examples

A price retriever is already provided by the library, but feel free to check the documentation to instantiate one yourself.

import datetime
from CryptoPrice import retriever

asset = 'BTC'
ref_asset = 'USDT'
timestamp = int(datetime.datetime(2021, 1, 1, 15, 14).timestamp())

# will return the first price price found close to the timestamp
retriever.get_closest_price(asset, ref_asset, timestamp)

>>Price(value=29480.0, asset='BTC', ref_asset='USDT', timestamp=1609510440, source='binance')

You can also fetch a price even if the trading pair does not exist: The retriever (MetaRetriever) will find a path with several trading pairs to estimate the price between the asset and the ref asset. This method takes much more time than the one above as several API calls (or database requests) have to be made.

import datetime
from CryptoPrice import retriever

asset = 'LTC'
ref_asset = 'XRP'
timestamp = int(datetime.datetime(2021, 3, 3, 15, 14).timestamp())

# will return an average price of several trading path
price = retriever.get_mean_price(asset, ref_asset, timestamp)
if price is not None:  # price found
    print(f"{asset} = {price.value:.5f} {ref_asset}, source: {price.source}")

>>LTC = 420.80573 XRP, source: mean_meta

Donation

If this library has helped you in any way, feel free to donate:

• BTC: 14ou4fMYoMVYbWEKnhADPJUNVytWQWx9HG

• ETH: 0xfb0ebcf8224ce561bfb06a56c3b9a43e1a4d1be2

• LTC: LfHgc969RFUjnmyLn41SRDvmT146jUg9tE

• EGLD: erd1qk98xm2hgztvmq6s4jwtk06g6laattewp6vh20z393drzy5zzfrq0gaefh