예제 #1
0
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)

#----------------------------------------------------------
예제 #2
0
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)
예제 #3
0
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
예제 #4
0
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