def __init__(self, quantity, key, secret):
self.quantity = quantity
self.commission = .2
from bitfinex.client import Client, TradeClient
self.privateWrapper = TradeClient(key, secret)
self.publicWrapper = Client()
def setUp(self):
self.tc = TradeClient(API_KEY, API_SECRET)
from sqlalchemy import *
import time
import numpy as np
from decimal import Decimal
# using bitfinex APIs to get today's_ticker
from bitfinex.client import Client, TradeClient
client = Client()
trade = TradeClient('K4HJultQmdvroWCnNy5OMcXx7QfGoQgZw0vrkWmuV1Y',
'dFt4tsMFszh2vTGGvHqFEP3fkaaSniJ4zDA4pSWyJOM')
# we are inporting the Databse that is being created by bitfinex-boat
engine = create_engine('sqlite:////home/metal-machine/Desktop/all_ticker.db')
metadata = MetaData(engine)
tickers = Table('ticker', metadata, autoload=True)
def find_nearest(array, value):
""" gets the numpy array and timestamp as input and retunrs the nearest value"""
idx = np.abs(array - value).argmin()
return array[idx]
def ohlc_past(hours):
"""This function returns the seconds as input and retrun the required ohlc_4"""
seconds = 3600 * hours # converting hours into seconds
time_delta = float('{:7f}'.format(time.time() - seconds))
time_stamp = tickers.select(tickers.c.timestamp)
timestamp_array = np.array([i[1] for i in time_stamp.execute()])
from sqlalchemy import *
import time
import numpy as np
from decimal import Decimal
# using bitfinex APIs to get today's_ticker
from bitfinex.client import Client, TradeClient
trade = TradeClient('TlwqyZCq6tcr7kG25WLlPKk1IKvYoRndgr16mQ4qTQh',
'yPiilMjqCutpEptu7a1etlJmmHMuaru83wa9qqQOlhb')
print trade.balances()
client = Client()
#trade = TradeClient('K4HJultQmdvroWCnNy5OMcXx7QfGoQgZw0vrkWmuV1Y','dFt4tsMFszh2vTGGvHqFEP3fkaaSniJ4zDA4pSWyJOM')
# we are inporting the Databse that is being created by bitfinex-boat
engine = create_engine('sqlite:////home/metal-machine/Desktop/all_ticker.db')
metadata = MetaData(engine)
tickers = Table('ticker', metadata, autoload=True)
def find_nearest(array, value):
""" gets the numpy array and timestamp as input and retunrs the nearest value"""
idx = np.abs(array - value).argmin()
return array[idx]
def ohlc_past(hours):
"""This function returns the seconds as input and retrun the required ohlc_4"""
