Historic Crypto

An open source Python library for the collection of Historical Cryptocurrency data.

This library interacts with the CoinBase Pro API to:

List the Cyptocurrency Pairs available through the API.
Return Live Data from the API
Return historical data from the API in a Pandas DataFrame.

The HistoricalData class returns all attributes (Open, Close, High, Low, Volume) of the selected Cryptocurrency, whilst the Cryptocurrencies class returns all Cryptocurrencies available through the API, with a 'coin_search' parameter if the user wishes to check if that Coin ID is available.

Installation

From Python:

pip install Historic-Crypto
from Historic_Crypto import HistoricalData
from Historic_Crypto import Cryptocurrencies
from Historic_Crypto import LiveCryptoData

Usage

Cryptocurrencies

If you are unsure of the correct 'ticker' to search for:

pip install Historic-Crypto
from Historic_Crypto import Cryptocurrencies

Cryptocurrencies().find_crypto_pairs()

Returns a Pandas DataFrame containing the columns "id" and "display_name" and "status", with the "id" column indicating the search term which should be queried by the other classes within the package.

Additionally, a number of optional arguments can be added:

Argument	Description
coin_search	search for a specific cryptocurrency string (str) Default = None.
extended_output	displays either a condensed or extended output (Bool) Default = False.
verbose	prints status messages (Bool) Default = True.

pip install Historic-Crypto
from Historic_Crypto import Cryptocurrencies

data = Cryptocurrencies(coin_search = 'XLM', extended_output=False).find_crypto_pairs()

HistoricalData

Once you know the ticker which you would like to search for, you can search for it using the HistoricalData class.

pip install Historic-Crypto
from Historic_Crypto import HistoricalData

new = HistoricalData('ETH-USD',300,'2020-06-01-00-00').retrieve_data()

The arguments for the class are listed below:

Argument	Description
ticker	supply the ticker information which you want to return (str).
granularity	please supply a granularity in seconds (60, 300, 900, 3600, 21600, 86400) (int).
start_date	a string in the format YYYY-MM-DD-HH-MM (str).
end_date	a string in the format YYYY-MM-DD-HH-MM (str). Optional, Default: Now
verbose	printing during extraction. Default: True

LiveCryptoData

If you want to see the current Bid/Ask of a specific Cryptocurrency:

pip install Historic-Crypto
from Historic_Crypto import LiveCryptoData

new =  LiveCryptoData('ATOM-USD').return_data()

Returns a Pandas DataFrame 'data', which contains the trade_id, price, size, bid, ask and volume of the previous transaction, indexed by timestamp.