'list' object is not callable : Error in Custom Indicator

Finnovesh Incorporation

I am creating one custom indicator and i want to assign a list object to lines.

self.lines.non_none_szs = self.non_none_sz

It is giving me following error:

File "/Users/saurabh/Python3/vs-py-venv/lib/python3.6/site-packages/backtrader/lineseries.py", line 79, in set
value = value(0)
TypeError: 'list' object is not callable

I am stuck with this since last couple pf hours but not getting a way to assign a list object to lines array.

Any help here will be highly appreciated

run-out

We would like to help you but your question is not very informative. Please Include all of your code. Please also include the full log print out that has the error. Also please follow the instructions at the very top of this page for using three back ticks to wrap around your code.

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Finnovesh Incorporation

@run-out said in 'list' object is not callable : Error in Custom Indicator:

put code here.
Here goes my code

class FiboFactors:
def init(self,x,a,b,c,d):
self.x = x
self.a = a
self.b = b
self.c = c
self.d = d
self.xab = (abs(b - a) / max(0.01, abs(x - a)))
self.xad = (abs(a - d) / max(0.01, abs(x - a)))
self.abc = (abs(b - c) / max(0.01, abs(a - b)))
self.bcd = (abs(c - d) / max(0.01, abs(b - c)))

class Fibonn(Indicator):
alias = ('FIB', 'Fibonn',)
data = None
period = None

 lines = ('non_none_szs',)
 #params = (dict(period=1, safediv=True))

 plotlines = dict(
             non_none_szs=dict(_name='CP', marker='v', markersize=6.0, ls='', color='pink', _skipnan=True),
            

             )

 plotinfo = dict(subplot=True)

 def __init__(self,period,candle,interval,alt_time_frame,use_alt_timeframe):
 #   self.data=data
   self.candle=candle
   self.period=period
   self.interval=interval
   self.alt_time_frame=alt_time_frame
   self.use_alt_timeframe=use_alt_timeframe
   self.setup()
   # Before super to ensure mixins (right-hand side in subclassing)
   # can see the assignment operation and operate on the line
   
   #self.lines.is_bat=self.is_bat(1)
   self.lines.non_none_szs =  self.non_none_sz
 #   for i in range(0, len(self.non_none_sz)):
 #     self.lines.non_none_szs[0].append(bt.Max(0.0, self.non_none_sz[i]))
   #self.lines.non_none_szs = bt.Max(0.0, self.non_none_sz) 

   super(Fibonn, self).__init__()

 def setup(self):
    
     sz=self.calculate_sz()
     non_none_sz = [sz[i] for i in range(0,len(sz)) if sz[i]]
     self.non_none_sz=non_none_sz
     if len(non_none_sz) >= 5:
         self.fibonums = FiboFactors(*non_none_sz[-5:])
         self.lines.non_none_szs =  self.non_none_sz

 # def apply(self):
 #    # self.data.df['pandas_SMA_3'] = self.data.df.iloc[:,1].rolling(window=self.period).mean()
 #     return self

 def calculate_sz(self):
     #alt_factor = alttf_to_tf_factor(interval=self.interval, altinterval=self.alt_time_frame)
     #grouped_candle = get_grouped_candles(self.candle, self.interval, self.alt_time_frame)
     alt_factor=1
     grouped_candle=self.candle
     len_grouped_candle=len(self.candle.get('TIME')[0].array)
     sz = [None]*(alt_factor)
     for i in range(1, len_grouped_candle):
         nextsz = None
         if  self.candle["isup"][0][i-1]==1.0 and self.candle["isdown"][0][i]==1.0 :
             nextsz = max(grouped_candle["High"][0][i], grouped_candle["High"][0][i-1])
         elif  self.candle["isdown"][0][i-1]==1.0 and self.candle["isup"][0][i]==1.0:
             nextsz = min(grouped_candle["Low"][0][i], grouped_candle["Low"][0][i-1])
         else :
             nextsz = None
         
         sz += [nextsz] + [None]*(alt_factor-1)
     sz += [None]*(alt_factor-len(sz))
     return sz