high_price.append(float(eachline.split("\t")[2]))
low_price.append(float(eachline.split("\t")[3]))
macd.append(float(eachline.split("\t")[5]))
open_price.append(float(eachline.split("\t")[1]))
date.append(eachline.split("\t")[0])
vol.append(float(eachline.split("\t")[5]))
je.append(float(eachline.split("\t")[5]))
process = process_util(open_price, close_price, macd, date, vol,
high_price, low_price, je)
emd_dir = os.path.abspath('.') + "/" + "emd_data"
print emd_dir
os.popen("rm -r %s" % emd_dir)
os.popen("mkdir %s" % emd_dir)
generate_emd_func = generateEMDdata(datafile, begin, 1000, emd_dir)
#generate_emd_func.generate_machao_emd_data_fix(3)
generate_emd_func.generate_ma_emd_data_fix(5)
#generate_emd_func.generate_emd_data_fix()
###
period = 2
#close_price=[j*10 for j in macd]
ma = []
for ii in range(period):
ma.append(0)
for ii in range(period, len(close_price)):
ma.append(np.mean(close_price[ii - (period - 1):ii + 1]))
ma2 = []
date = []
macd = []
vol = []
for eachline in lines:
eachline.strip()
close_price.append(float(eachline.split("\t")[4]))
macd.append(float(eachline.split("\t")[6]))
open_price.append(float(eachline.split("\t")[1]))
date.append(eachline.split("\t")[0])
vol.append(float(eachline.split("\t")[5]))
process = process_util(open_price,close_price,macd,date,vol)
os.popen("rm -r ../../emd_data")
os.popen("mkdir ../../emd_data")
generate_emd_func = generateEMDdata(datafile,begin,500)
generate_emd_func.generate_emd_data_fix()
print "begin %s"%begin
for i in range(begin,begin+int(process.file_count("../../emd_data"))-1):
emd_data = []
print "emd file %s"%i
fp = open("../../emd_data/emd_%s"%i,'r')
lines = fp.readlines()
fp.close()
for eachline in lines:
eachline.strip("\n")
emd_data.append(float(eachline))
process.run(emd_data,datafile,i-1,date[-1])
# process.peilv()
# process.hold_time()
process.draw_fig(datafile,begin)
high_price.append(float(eachline.split("\t")[2]))
low_price.append(float(eachline.split("\t")[3]))
macd.append(float(eachline.split("\t")[5]))
open_price.append(float(eachline.split("\t")[1]))
date.append(eachline.split("\t")[0])
vol.append(float(eachline.split("\t")[5]))
je.append(float(eachline.split("\t")[5]))
process = process_util(open_price,close_price,macd,date,vol,high_price,low_price,je)
emd_dir = os.path.abspath('.')+"/"+"emd_data"
print emd_dir
os.popen("rm -r %s"%emd_dir)
os.popen("mkdir %s"%emd_dir)
generate_emd_func = generateEMDdata(datafile,begin,1000,emd_dir)
#generate_emd_func.generate_machao_emd_data_fix(3)
generate_emd_func.generate_ma_emd_data_fix(5)
#generate_emd_func.generate_emd_data_fix()
###
period=10
#close_price=[j*10 for j in macd]
ma = []
for ii in range(period):
ma.append(0)
for ii in range(period,len(close_price)):
ma.append(np.mean(close_price[ii-(period-1):ii+1]))
