def __init__(self, etherAddr, krakenKey, host='localhost', port='8545'):
self.__isConnected = False
self.currentWindow = eosutils.getCurrentWindow()
# Connect to Ethereum
try:
self.eosContract = eoscontract.EOSContract(etherAddr, host, port)
self.eosContract.connect()
if self.eosContract.isConnected():
log.info('Connection to Ethereum successful.')
self.__isConnected = True
else:
log.error("Error connecting to Ethereum node.")
return
except:
self.__isConnected = False
log.error("Error connecting to Ethereum.")
traceback.print_exc()
return
# Connect to EOS
try:
self.kraken = krakenex.API()
self.kraken.load_key(krakenKey)
self.krakenConn = krakenex.Connection()
log.info('Connection to Kraken successful.')
except:
self.__isConnected = False
log.error("Error connecting to Kraken.")
return
def get_multi_closes(api = k, interval = 1, assets = assets_):
global c
results = []
for asset_ in assets:
timeline_raw = None
while timeline_raw == None:
try:
print("\n" + asset_ + ": Asking for closes...")
timeline_raw = api.query_public('OHLC', req = {'pair':asset_, 'interval':interval})['result'][asset_]
except:
api = krakenex.API() #paloaltomünster
c = krakenex.Connection()
print("Reconnecting to kraken...")
time.sleep(10)
times = []
closes = []
for entry in timeline_raw:
times.append(entry[0])
closes.append(eval(entry[4]))
filename = asset_ + ".txt"
if os.path.isfile(filename):
old_file = numpy.loadtxt(filename)
old_times = old_file[:,0]
old_closes = old_file[:,1]
old_max_time = old_times.max()
else:
old_max_time = 0
new_times = []
new_closes = []
n = 0
if 'old_file' in locals():
print('\n' + asset_ + ": Combining old and new data...")
for time_ in old_times:
new_times.append(time_)
for close in old_closes:
new_closes.append(close)
for i, time_ in enumerate(times):
if time_ > old_max_time:
n += 1
new_times.append(time_)
new_closes.append(closes[i])
del old_file
else:
for i, time_ in enumerate(times):
n += 1
new_times.append(time_)
new_closes.append(closes[i])
new_entries = n
print(asset_ + ': Closes cached')
print(asset_ + ': ' + str(new_entries) + ' new entries.')
results.append([new_times, new_closes, old_max_time, new_entries])
return results
def get_closes(api=k, interval=1, filename='results.txt'):
global c
timeline_raw = None
while timeline_raw == None:
try:
print("Asking for closes...")
timeline_raw = api.query_public('OHLC',
req={
'pair': asset_,
'interval': interval
})['result'][asset_]
except:
api = krakenex.API() #paloaltomünster
c = krakenex.Connection()
time.sleep(10)
times = []
closes = []
for entry in timeline_raw:
times.append(entry[0])
closes.append(eval(entry[4]))
if os.path.isfile(filename):
old_file = numpy.loadtxt(filename)
old_times = old_file[:, 0]
old_closes = old_file[:, 1]
old_max_time = old_times.max()
else:
old_max_time = 0
new_times = []
new_closes = []
n = 0
if 'old_file' in locals():
print("Combining old and new data...")
for time_ in old_times:
new_times.append(time_)
for close in old_closes:
new_closes.append(close)
for i, time_ in enumerate(times):
if time_ > old_max_time:
n += 1
new_times.append(time_)
new_closes.append(closes[i])
else:
for i, time_ in enumerate(times):
n += 1
new_times.append(time_)
new_closes.append(closes[i])
new_entries = n
print('Closes cached')
return new_times, new_closes, old_max_time, new_entries
def run_kraken_book():
global KrakenBook
try:
KrakenBook = k.query_public(KrakenURL)
print("Finish running Bookqueries")
except Exception:
k = krakenex.API()
k.load_key('kraken.key')
k.set_connection(krakenex.Connection())
KrakenBook = k.query_public(KrakenURL)
print("Finish running Bookqueries on Exception")
return KrakenBook
def kraken_order_book(book_type: str,
currency_code: str = 'EUR',
coin_code: str = 'XBT'):
"""Kraken specific orderbook retrieval
"""
import krakenex
kraken_api = krakenex.API(key=KRAKEN_API_KEY,
secret=KRAKEN_PRIVATE_KEY,
conn=krakenex.Connection())
pair = f'X{coin_code}Z{currency_code}'
orders = kraken_api.query_public('Depth', {'pair': pair})
df = pd.DataFrame(orders['result'][pair][book_type],
columns=['price', 'volume', 'timestamp'])
return df
# Initial Variables
ArbitrageOpp = 0
ArbitrageOppArray = []
Iterations = 0
GDticker = "eth-usd"
#Kraken Variables
#kraken.key is the file of API Key and Private Key
KrakenFile = open('krakenXRPAdd.txt', 'r')
KRippleAdd = KrakenFile.readline()
#Kraken Authentication Info
k = krakenex.API()
k.load_key('kraken.key')
k.set_connection(krakenex.Connection())
ticker = "XXRPZUSD" #Kraken Ticker
KrakenURL = "Depth?pair=XXRPZUSD"
KOpenID = []
# Bitstamp Variables
# Read Keys
BitFile = open('bitstampXRPkey.txt', 'r')
BSticker = "xrpusd" #Bitstamp Ticker
BitClientID = '421841'
BitAPIKey = BitFile.readline() #Ripple yaoshi
BitAPISecret = BitFile.readline() #Ripple mimi
BitRippleAdd = BitFile.readline() #Ripple Qianbao
BitRippleDest = BitFile.readline() #Ripple Destination tag
import krakenex
import numpy
import os
import time
import threading
import matplotlib.pylab as pylab
import ftp_helper as ftp
import tkinter as tk
from tkinter import filedialog
import requests
print('Connecting to kraken...')
while not 'k' in locals():
try:
k = krakenex.API() #paloaltomünster
c = krakenex.Connection()
except:
pass
print('Connected to kraken.')
assetpairs = None
while(assetpairs == None):
try:
assetpairs = k.query_public('AssetPairs')['result']
except:
pass
assets_ = ['XETHZEUR', 'XREPZEUR', 'XXRPXXBT', 'XXLMZEUR', 'XLTCZEUR', 'XXBTZEUR', 'XETCZEUR', 'XXMRZEUR', 'XETHXXBT', 'GNOEUR', 'XETCXETH', 'XZECZEUR', 'XICNXXBT', 'XXLMXXBT', 'XXMRXXBT', 'DASHXBT']
def get_multi_closes(api = k, interval = 1, assets = assets_):
global c
def __connect(self):
self.__disconnect()
self.log.info("Connecting to Kraken...")
self.conn = krakenex.Connection()
self.interface = krakenex.API(self.api_key, self.private_key,
self.conn)
def init():
global krakken_connection
logger.info('Initializing krakken exchange')
c = krakenex.Connection()
krakken_connection = krakenex.api.API(api_key, api_sign, c)
