def showStockChart(stockcode):
stockcode = stock.normalizeStockCode(stockcode)
kdata = stock.getStockDayDataQianFuQuan(stockcode)
if (not kdata):
utils.output('股票数据不存在', 'red')
return False
if (stockcode[:3] != 'sh0'):
weightdata = stock.getStockWeightData(stockcode)
if (not weightdata):
utils.output('复权数据不存在', 'red')
return False
#print(weightdata)
#set data
globals.mainwin.chart.kdata = kdata
globals.mainwin.chart.stockcode = stockcode
globals.mainwin.scrollbar.setMinimum(0)
ktotalcount = len(kdata)
globals.mainwin.scrollbar.setMaximum(ktotalcount)
globals.mainwin.scrollbar.setValue(ktotalcount)
globals.mainwin.scrollbar.setSingleStep(1)
if (stockcode[:3] != 'sh0'):
globals.mainwin.chart.weightdata = weightdata
#draw
globals.viewportclear = False
utils.update()
def showStockChart(stockcode):
stockcode = stock.normalizeStockCode(stockcode)
kdata = stock.getStockDayDataQianFuQuan(stockcode)
if(not kdata):
utils.output('股票数据不存在', 'red')
return False
if(stockcode[:3] != 'sh0'):
weightdata = stock.getStockWeightData(stockcode)
if(not weightdata):
utils.output('复权数据不存在', 'red')
return False
#print(weightdata)
#set data
globals.mainwin.chart.kdata = kdata
globals.mainwin.chart.stockcode = stockcode
globals.mainwin.scrollbar.setMinimum(0)
ktotalcount = len(kdata)
globals.mainwin.scrollbar.setMaximum(ktotalcount)
globals.mainwin.scrollbar.setValue(ktotalcount)
globals.mainwin.scrollbar.setSingleStep(1)
if(stockcode[:3] != 'sh0'):
globals.mainwin.chart.weightdata = weightdata
#draw
globals.viewportclear = False
utils.update()
def run(subcmd, params):
chart = globals.mainwin.chart
stocklist = stock.getStockList()
if(subcmd == 'di'):
filterResults = []
di = indicators.di.Di()
utils.output('开始di条件过滤')
prefixstr = 'filter di条件过滤:'
totalstock = len(stocklist)
cnt = 0
start_time = datetime.datetime.now()
for stockcode in stocklist:
cnt +=1
stockcode = stock.normalizeStockCode(stockcode)
end_time = datetime.datetime.now()
diffStr = '{}'.format(end_time - start_time)
outstr = '{} {}/{} 当前代码:{} 符合条件:{} ({})'.format(prefixstr, cnt, totalstock, stockcode, len(filterResults), diffStr)
utils.overwrite(outstr, prefixstr)
stockdata = stock.getStockDayDataQianFuQuan(stockcode)
stockdata = stockdata[-500:]
didata = di.calculateData(stockdata)
QCoreApplication.processEvents()
if(didata[-1] and didata[-1].get('tip')):
filterResults.append({'code':stockcode, 'date':didata[-1]['date']})
dataArr = []
for row in filterResults:
scode = row['code']
sdate = row['date']
row=[]
row.append(scode)
row.append(stock.getStockName(scode))
row.append(sdate)
dataArr.append(row)
#write to file begin
filename = globals.datapath + '/lastFilterResult.dat'
try:
f = open(filename, 'wb')
except IOError:
exc_type, exc_value = sys.exc_info()[:2]
errmsg = '{}: {}'.format(exc_type.__name__, exc_value)
output(errmsg, 'red')
return False
pickle.dump(dataArr, f)
f.close()
#write to file end
tablemodel = stockfilterresultdlg.FilterResultModel(dataArr, None)
tbResults = globals.mainwin.stockfilterresultdlg.tbResults
tbResults.setModel(tablemodel)
globals.mainwin.windowStockFilterResult()
def run(subcmd, params):
chart = globals.mainwin.chart
stocklist = stock.getStockList()
if (subcmd == 'di'):
filterResults = []
di = indicators.di.Di()
utils.output('开始di条件过滤')
prefixstr = 'filter di条件过滤:'
totalstock = len(stocklist)
cnt = 0
start_time = datetime.datetime.now()
for stockcode in stocklist:
cnt += 1
stockcode = stock.normalizeStockCode(stockcode)
end_time = datetime.datetime.now()
diffStr = '{}'.format(end_time - start_time)
outstr = '{} {}/{} 当前代码:{} 符合条件:{} ({})'.format(
prefixstr, cnt, totalstock, stockcode, len(filterResults),
diffStr)
utils.overwrite(outstr, prefixstr)
stockdata = stock.getStockDayDataQianFuQuan(stockcode)
stockdata = stockdata[-500:]
didata = di.calculateData(stockdata)
QCoreApplication.processEvents()
if (didata[-1] and didata[-1].get('tip')):
filterResults.append({
'code': stockcode,
'date': didata[-1]['date']
})
dataArr = []
for row in filterResults:
scode = row['code']
sdate = row['date']
row = []
row.append(scode)
row.append(stock.getStockName(scode))
row.append(sdate)
dataArr.append(row)
#write to file begin
filename = globals.datapath + '/lastFilterResult.dat'
try:
f = open(filename, 'wb')
except IOError:
exc_type, exc_value = sys.exc_info()[:2]
errmsg = '{}: {}'.format(exc_type.__name__, exc_value)
output(errmsg, 'red')
return False
pickle.dump(dataArr, f)
f.close()
#write to file end
tablemodel = stockfilterresultdlg.FilterResultModel(dataArr, None)
tbResults = globals.mainwin.stockfilterresultdlg.tbResults
tbResults.setModel(tablemodel)
globals.mainwin.windowStockFilterResult()
