# -*- 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