from time import time from matplotlib.pyplot import figure, subplot, plot import dataman.dataloader as dl reload(dl) import utilfuncs.finutils as fn reload(fn) import gfuncs as gf reload(gf) #---------------------------------------------------------- # setup # get data # basket, ordinals = dl.loadPickleBasket('marketdata/pickles/r3k_91to11/') basket, ordinals = dl.loadPickleBasket('marketdata/pickles/ndq100_00to11/') print 'data loaded. starting test...' # params win = 14 alpha = .2 #---------------------------------------------------------- # device execution s = time() dRSI = gf.gRSIBasket(basket, win, alpha) e = time() device_time = e - s print 'device time: %f' % (device_time) #----------------------------------------------------------
from matplotlib.pyplot import figure, subplot, plot import dataman.dataloader as dl reload(dl) import utilfuncs.finutils as fn reload(fn) import gfuncs as gf reload(gf) #---------------------------------------------------------- # setup # get data basket, ordinals = dl.loadPickleBasket('marketdata/pickles/r3k_91to11/') # basket, ordinals = dl.loadPickleBasket('marketdata/pickles/ndq100_00to11/') print 'data loaded. starting test...' # params sw = 5 lw = 75 #---------------------------------------------------------- # device execution s = time() dMS = gf.gMarketSentiment(basket, sw, lw) e = time() device_time = e - s print 'device time: %f' % (device_time)
import numpy as np import cPickle as pickle from time import time from matplotlib.pyplot import figure, subplot, plot import dataman.dataloader as dl; reload(dl) import utilfuncs.finutils as fn; reload(fn) import gfuncs as gf; reload(gf) #---------------------------------------------------------- # setup # get data basket, ordinals = dl.loadPickleBasket('marketdata/pickles/r3k_91to11/') # basket, ordinals = dl.loadPickleBasket('marketdata/pickles/ndq100_00to11/') print 'data loaded. starting test...' # params sw = 5 lw = 75 #---------------------------------------------------------- # device execution s = time() dMS = gf.gMarketSentiment(basket, sw, lw) e = time() device_time = e-s print 'device time: %f' % (device_time) #---------------------------------------------------------- # serial execution
import numpy as np import cPickle as pickle from time import time from matplotlib.pyplot import figure, subplot, plot import dataman.dataloader as dl; reload(dl) import utilfuncs.finutils as fn; reload(fn) import gfuncs as gf; reload(gf) #---------------------------------------------------------- # setup # get data # basket, ordinals = dl.loadPickleBasket('marketdata/pickles/r3k_91to11/') basket, ordinals = dl.loadPickleBasket('marketdata/pickles/ndq100_00to11/') print 'data loaded. starting test...' # params win = 14 alpha = .2 #---------------------------------------------------------- # device execution s = time() dRSI = gf.gRSIBasket(basket, win, alpha) e = time() device_time = e-s print 'device time: %f' % (device_time) #---------------------------------------------------------- # serial execution