def calculate_technicals(start,end):
end_date_time = datetime.datetime.now() # mysqldb.get_maxdate()[0]
start_date_time = end_date_time - relativedelta(days=constants.DAYS_FOR_TECHNICALS)
list_symbol=dbdao.get_symbols_list_limit(start,end)
list_symbol=['MSFT']
hist_dates= dbdao.get_historical_dates()
days_behind=100
df_mkt=mongodao.getsymbol_data(constants.MKT_SYMBOL, start_date_time, end_date_time)
if(start=='0'):
dbdao.execute_query(["drop table df_technical","truncate table df_history","truncate table df_alerts"])
df_technicals = technical_manager.calculate_technical(df_mkt,constants.MKT_SYMBOL,df_mkt, start_date_time, end_date_time, hist_dates,days_behind)
frames=[df_technicals]
for symbol in list_symbol:
try:
df_symbol=mongodao.getsymbol_data(symbol, start_date_time, end_date_time)
if df_symbol.empty:
continue
logger.info("Getting Technicals for symbol=%s ",symbol)
df_technicals_new = technical_manager.calculate_technical(df_symbol,symbol,df_mkt, start_date_time, end_date_time, hist_dates,days_behind)
frames.append(df_technicals_new)
logger.info("Got Technicals for symbol=%s ",symbol)
except Exception ,ex:
logger.error(ex)
logger.error( traceback.format_exc())
def gethistory_dates():
end_date = dt.datetime.now()
start_date = end_date + relativedelta(years=-2)
# df1 = mongodao.get_symbollist_data(list_symbols, start_date, end_date)
curdate = dt.datetime.now().date()
month = curdate.month
monthstartdate = dt.date(curdate.year, curdate.month, 1)
yearstartdate = dt.date(curdate.year, 1, 1)
if (month > 3):
if (month > 3 and month <= 6):
quatermonth = 4;
elif (month > 6 and month <= 9):
quatermonth = 7;
elif (month > 9 and month <= 12):
quatermonth = 10;
else:
quatermonth = 1;
weekstart = curdate - timedelta(days=(curdate.weekday() + 1))
quarterstartdate = dt.date(curdate.year, quatermonth, 1) - timedelta(days=1)
#mongodbdao = mongoutil.
prices_mkt = mongodao.getsymbol_data(constants.MKT_SYMBOL, start_date, end_date)
oneyearbeforedate=curdate - relativedelta(years=1)
oneMonth=curdate - relativedelta(months=1)
oneyearbeforedate = datetimeutil.getdate(getspecificdate(oneyearbeforedate, prices_mkt))
oneMonth = datetimeutil.getdate(getspecificdate(oneMonth, prices_mkt))
yesterday = datetimeutil.getdate(getspecificdate(curdate - timedelta(days=1), prices_mkt))
day2 = datetimeutil.getdate(getspecificdate(curdate - timedelta(days=2), prices_mkt))
day3 = datetimeutil.getdate(getspecificdate(curdate - timedelta(days=3), prices_mkt))
day5 = datetimeutil.getdate(getspecificdate(curdate - timedelta(days=5), prices_mkt))
weekdstart = datetimeutil.getdate(getspecificdate(weekstart, prices_mkt))
monthstart = datetimeutil.getdate(getspecificdate(monthstartdate, prices_mkt))
quaterstart = datetimeutil.getdate(getspecificdate(quarterstartdate, prices_mkt))
yearstart = datetimeutil.getdate(getspecificdate(yearstartdate, prices_mkt))
return {"current":curdate, "PreviousDay":yesterday, "2days":day2, "3days":day3, "5days":day5,
"Weekly":weekdstart, "Monthly":monthstart, "Quaterly":quaterstart,
"Yearly":yearstart, "oneyearbeforedate":oneyearbeforedate,"oneMonth":oneMonth}
