audubon

import numpy as np
import scipy.stats as ss
import time,calendar
import math
from sklearn.decomposition import PCA
import statsmodels.api as sm

audubon

package prc.ib;


import com.ib.client.ComboLeg;
import com.ib.client.Order;
import com.ib.client.Execution;


 
public class OrderBuilder {

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class Utils(object):
    months=['','F','G','H','J','K','M','N','Q','U','V','X','Z']

    @staticmethod
    def localsymbol (expiry,right,strike):
        exp = Utils.months[1+ int(expiry)/100%100 ]
        s= strike*1000
        sym="ON%s2 %s%s" %(exp,right,str(s)[:-2])
        return sym

audubon

import pykka
import pykka.gevent
import gevent
import numpy as np
import copy,sys, pprint , blist
from collections import defaultdict
import logging
import signal

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import pykka
import pykka.gevent


class Worker(pykka.gevent.GeventActor):
    def __init__(self, **kwargs):
        super(Worker, self).__init__()
        self.inputs = kwargs.get('inputs')

    def on_receive(self, message):

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from sys import argv
from time import sleep, strftime

from ib.ext.Contract import Contract
from ib.ext.Order import Order
from ib.ext.EWrapper import EWrapper
from ib.ext.EClientSocket import EClientSocket

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import pandas as pd
from pandas.io.data import DataReader
import matplotlib.pyplot as plt
import numpy as np
from QuantLib import *
import urllib, urllib2,json, re, pylab,dateutil,datetime


class OptionCalculator(object):
    def __init__ (self,**kwargs):

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import pprint,sys
import blaze
from odo import odo
import pandas as pd
import numpy as np
from BTrees.OOBTree import OOBTree
from tables import *