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libcryptomarket

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libcryptomarket

Library for cryptocurrency market information.

  • 1.0.0
  • PyPI
  • Socket score

Maintainers
1

libcryptomarket: Powerful cryptocurrency market analysis toolkit

Objective

  • Support API calls of top cryptocurrency exchanges

  • Support trading and analysis tools for cryptocurrency market

The project aims to answer the following two questions:

  1. How to get historical data, especially a long period, in a single query?

  2. How to send exchange API query in an elegent fashion?

Prerequisite

Python 3.5+

Installation

You can install it via pip for static version

pip install libcryptomarket

or development version

pip install git+https://github.com/libcryptomarket/libcryptomarket.git

API Usage

This library is to extend the library ccxt on more powerful functions. So the supported exchanges are same as ccxt while a few exchanges are extended with the following features. You just need to import the exchange from libcryptomarket.

Candles

from datetime import datetime
import libcryptomarket

poloniex = libcryptomarket.poloniex()
candles = libcryptomarket.fetch_candles(
    symbol="ETH/BTC",
    start_time=datetime(2018, 1, 1),
    end_time=datetime(2018, 1, 30),
    frequency="30m")

Latest candles

from datetime import datetime
import libcryptomarket

poloniex = libcryptomarket.poloniex()
candles = libcryptomarket.fetch_latest_candles(
    symbols=["ETH/BTC", "LTC/BTC"],
    frequency="30m",
    frequency_count=5)

Supported exchanges

Exchangecandleslatest_candles
Poloniexvv
Bitfinexvv
GDAXvv

Console Usage

Console usage is for exporting historical data.

Request candles

request-candles --exchange poloniex --symbols ETH/BTC LTC/BTC --frequency 30m --start-time 2018-01-01 --end-time 2018-01-31 --output test.csv

Contribution

The project is targeting as a core but generic toolkit to query cryptocurrency market, so we are happy if you join to contribute and make it better. Please do not hesitate to contact us (gavincyi at gmail dot com).

======= History

0.1.0 (2017-11-07)

  • First release on PyPI.

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