def get_power_status(code, tdx_df=None, dtype='d', start=None, end=None, filter='y',
dl=60, ptype='low'):
opc, rac = 0, 0
fib = 0
# for ptype in ['low', 'high']:
for ptype in ['low']:
op, ra, st, daysData = pct.get_linear_model_status(
code, df=tdx_df, dtype=dtype, start=start, end=end, dl=dl, filter=filter, ptype=ptype)
# fib.append(str(daysData[0]))
opc += op
# print ra
rac += ra
if ptype == 'low':
stl = st
fibl = str(daysData[0])
else:
fib = str(daysData[0])
# fibl = sep.join(fib)
tdx_df, operation = getab.Get_BBANDS(tdx_df, dtype='d')
# opc +=operation
# if opc > 21:
# opc = 21
# log.debug( "opc:%s op:%s"%(opc,operation))
# df.loc[code,'ma5'] = daysData[1].ma5d[0]
# print tdx_df[:1].ma5d[0],daysData[1].ma5d[0]
tdx_df, opkdj = getab.Get_KDJ(tdx_df, dtype='d')
tdx_df, opmacd = getab.Get_MACD_OP(tdx_df, dtype='d')
tdx_df, oprsi = getab.Get_RSI(tdx_df, dtype='d')
opma = getab.algoMultiDay(tdx_df)
# df = getab.Get_BBANDS(df, dtype='d')
#'volume', 'ratio', 'counts','ldate' -> 'ma','macd','rsi','kdj'
return int(opc), (rac), int(fib), int(fibl), stl, int(operation), int(opkdj), int(opmacd), int(oprsi), int(opma)
def fibonacciCount(code, dl=60, start=None, days=0):
fibl = []
if not isinstance(code, list):
codes = [code]
else:
codes = code
for code in codes:
df = tdd.get_tdx_append_now_df_api(code, dl=dl)
for ptype in ['low', 'high']:
if ptype == 'low':
op, ra, st, daysData = pct.get_linear_model_status(code,
df=df,
filter='y',
dl=dl,
ptype=ptype,
days=days)
dd, boll = getab.Get_BBANDS(df, days=days)
else:
# df = tdd.get_tdx_append_now_df_api(code,dl=dl)
op, ra, st, daysData = pct.get_linear_model_status(code,
df=df,
filter='y',
dl=dl,
ptype=ptype,
days=days)
dd, boll = getab.Get_BBANDS(df, dtype='d')
fib = cct.getFibonacci(300, daysData[0])
# log.debug('st:%s days:%s fib:%s'%(st,days,fib))
# print "%s op:%s ra:%s days:%s fib:%s %s" % (code, op,
# ra,days,fib, st)
if not daysData[1].ma5d[0]:
daysData[1].ma5d[0] = 0
fibl.append([
code, op, ra, [daysData[0],
int(daysData[1].ma5d[0])], fib, st
])
return fibl