def createOpClient(opClient=opClient):
if opClient is not None:
return opClient
opClient = oandapy.API(**Clients['oandapy'])
return opClient
def __init__(self, granularity="M5", instrument="EUR_USD"):
'''
Load the data from a oanda
'''
self.oanda = oandapy.API(environment="practice",
access_token="e53fd8cfdb5f5e58c15f0936ece50939-4431fd4def9be7d92abb7ede43738eb4")
self.instrument = instrument
self.granularity = granularity
def __init__(self, leverage, account):
self.leverage = leverage
self.account = account
self.orders = []
self.profit = 0
# variables to analyze fx_data
'''
All of the OCHL data uses the bid prices
'''
self.open = [None] * 100
self.close = [None] * 100
self.high = [None] * 100
self.low = [None] * 100
self.volume = [None] * 100
self.oanda = oandapy.API(
environment="practice",
access_token=
"e53fd8cfdb5f5e58c15f0936ece50939-4431fd4def9be7d92abb7ede43738eb4"
)
self.accountID = 6774427
def __init__(self, currency_pair=None, access_token=None, *args, **kwargs):
"""
script : str
Algoscript that contains initialize and
handle_data function definition.
"""
# just one pair for now
self.currency_pair = currency_pair
self.oanda_client = oandapy.API(
environment="practice",
access_token=
"b47aa58922aeae119bcc4de139f7ea1e-27de2d1074bb442b4ad2fe0d637dec22"
)
self.algoscript = kwargs.pop('script', None)
self.data = self.oanda_client.get_prices(
instruments=self.currency_pair)
self.account_id = 3922748
self.history_data = self.oanda_client.get_history(
instrument=self.currency_pair,
granularity="S5",
count=500,
candleFormat="midpoint")
if self.algoscript is not None:
self.ns = {}
exec(self.algoscript, self.ns)
if 'initialize' not in self.ns:
raise ValueError('You must define an initialze function.')
if 'handle_data' not in self.ns:
raise ValueError('You must define a handle_data function.')
self._initialize = self.ns['initialize']
self._handle_data = self.ns['handle_data']
mysql_connector = MysqlConnector()
now = datetime.now()
start_time = "2017-01-04 07:00:00"
end_time = "2018-05-19 00:00:00"
end_time = datetime.strptime(end_time, "%Y-%m-%d %H:%M:%S")
start_time = datetime.strptime(start_time, "%Y-%m-%d %H:%M:%S")
sql_file = open("%s_record.sql" % instrument, "w")
while start_time < end_time:
if decideMarket(start_time):
start_ftime = start_time - timedelta(hours=9)
start_ftime = start_ftime.strftime("%Y-%m-%dT%H:%M:%S")
oanda = oandapy.API(environment=env, access_token=token)
response = {}
try :
response = oanda.get_history(
instrument=instrument,
start=start_ftime,
granularity="S5"
)
except ValueError as e:
print(e)
if len(response) > 0:
instrument = response["instrument"]
candles = response["candles"]
for candle in candles:
time = candle["time"]
cmd_subfolder = os.path.realpath(
os.path.abspath(os.path.join(os.path.split(inspect.getfile(inspect.currentframe()))[0], '..', module_folder)))
if cmd_subfolder not in sys.path:
sys.path.insert(0, cmd_subfolder)
insertModule('Constants')
insertModule('DataProviderAccess')
insertModule('Passwords')
import Passwords
import Constants
# import Constants.Constants as Constants
OANDA = oandapy.API(environment="live", access_token=Passwords.accessTokenOanda)
accounts = OANDA.get_accounts()
accounts['accounts'][0]['accountId']
M1 = 'M1'
M2 = 'M2'
M3 = 'M3'
M4 = 'M5'
M15 = 'M15'
M30 = 'M30'
H1 = 'H1'
D = 'D'
W = 'W'
granularities = ['M1', 'M2', 'M3', 'M4', 'M15', 'M30', 'H1', 'D', 'W']
Created on Tue Sep 26 11:08:08 2017 @author: Guanwen """ from oandapy import oandapy import numpy as np import time import pandas as pd domain = "https://api-fxtrade.oanda.com/" token = 'c3c619b83a1f631c1f2f6ce18b8304ed-f0c89f28c64d1e0561b07b9fd3f00903' account_id = '5640873' filename = 'KF_Params.csv' oanda = oandapy.API(environment="practice", access_token=token) positions = False inti_params = pd.DataFrame.from_csv(filename) G0 = np.matrix(np.eye(2)) W0 = np.matrix(np.eye(2)) * 0.00000001 Vdelta = 0.98 C0 = np.matrix([[0.7843, -0.6350], [-0.6350, 0.5147]]) * 0.0001 m0 = np.matrix([0.5625, 0.3403]).T d0 = 1.2675e-05 n0 = 50 S0 = d0 / n0 while (True):
def __init__(self, env, account_id, token, units):
self.oanda = oandapy.API(environment=env, access_token=token)
self.account_id = account_id
self.units = units
'''
Created on 24/11/2014
@author: s103451
'''
from oandapy import oandapy
import json
oanda = oandapy.API(
environment="practice",
access_token=
"e53fd8cfdb5f5e58c15f0936ece50939-4431fd4def9be7d92abb7ede43738eb4")
# accountId = 6774427
#print json.dumps(oanda.get_account(6774427), indent=1)
fxData = oanda.get_history(instrument="EUR_USD", count=2)
print json.dumps(fxData, indent=1)
'''
Created on 09/12/2014
@author: Sabrije
'''
import json
import talib
import numpy as np
from oandapy import oandapy
import math
oandaAC = oandapy.API(
environment="practice",
access_token=
"657af47e3c2b562c6baae594e407a961-60cf041ddb3bc253b4c23acb23794f1e")
#print json.dumps(oandaAC.get_accounts(), indent=1)
accountId = oandaAC.get_accounts()
print accountId["accounts"][0]["accountId"]
