# -*- coding: utf-8 -*-
import LoadCode
import StockSignal
import StockPrice
import pandas
funds=LoadCode.load_etf_code()
summary=None
ss_funds=[[510050, '50ETF'],
[510300, '300ETF'],
[510500, '500ETF'],
[511010, '国债ETF'],
[518800, '黄金基金'],
[159920, '恒生ETF'],
[510900, 'H股ETF'],
]
StockPrice.price_func='get_hist_data'
for i in ss_funds:
try:
ret = StockSignal.stock_signal_w_new_find_candidate('%s.SS' % i[0])
except Exception, ex:
print i[1]
ret = None
if not isinstance(ret, type(None)) :
ret.insert(0,'code', i[0])
# -*- coding: utf-8 -*-
import LoadCode
import StockSignal
import StockPrice
import pandas
funds = LoadCode.load_etf_code()
summary = None
ss_funds = [
[510050, '50ETF'],
[510300, '300ETF'],
[510500, '500ETF'],
[511010, '国债ETF'],
[518800, '黄金基金'],
[159920, '恒生ETF'],
[510900, 'H股ETF'],
]
StockPrice.price_func = 'get_hist_data'
for i in ss_funds:
try:
ret = StockSignal.stock_signal_w_new_find_candidate('%s.SS' % i[0])
except Exception, ex:
print i[1]
ret = None
if not isinstance(ret, type(None)):
# load stock-signal.py # load it by manual
# load load-code.py # load it by manual
import StockSignal
import LoadCode
import time
import random
stocks = LoadCode.load_code_ex()
count = stocks[0].count()
left = count
loop = 0
while left > 0:
count = left
print '##### loop %d begin ####' % loop
loop = loop + 1
for i in range(count):
try:
sum = StockSignal.stock_signal_w_new_sum(stocks[0][i])
if sum > 2.0:
print stocks[1][i], stocks[0][i], sum
left = left - 1
except ValueError, ve:
left = left - 1
continue
except Exception, ex:
print ex
# load stock-signal.py # load it by manual
# load load-code.py # load it by manual
import StockSignal
import LoadCode
import time
import random
import pandas
import pp
stocks=LoadCode.load_code_ex()
count=stocks[0].count()
data=pandas.DataFrame()
skip_before=''
skip=len(skip_before)
summary=None
result_file='candidates-%s.csv' % pandas.datetime.now().strftime('%Y-%m-%d')
def local_func(stock, code, name):
try:
ret = StockSignal.stock_signal_w_new_find_candidate_with_volume(stock)
if not isinstance(ret, type(None)):
# df.insert(1, 'bar', df['one']) insert one column
# df['one_trunc'] = df['one'][:2]
ret.insert(0, 'code', code)
ret.insert(ret.columns.size, 'name', name)
return ret
except Exception, ex:
return None
