Newbie to Backtrader -Sierra Chart Data Feed

Joshua Grimshaw

I am trying to use sierra chart as my data feed but I dont understand how to use it. It appear that the parser is still trying to use the YHOO parser instead of that of the Sierra chart class as I am a native sierra chart user

I thought I could use this;

s=filename
s="CLRaw-SC.csv"
data=bt.feeds.SierraChartCSVData(dataname=s)
cerebro.adddata(data)

when I run I get:

<backtrader.feeds.sierrachart.SierraChartCSVData at 0x1c981507400>

when i run cerebro via
%time cerebro.run()
it get this:

---------------------------------------------------------------------------
FileNotFoundError                         Traceback (most recent call last)
<ipython-input-33-3a641146f119> in <module>()
----> 1 get_ipython().magic('time cerebro.run()')

C:\Users\jngri\Anaconda3\envs\finpy\lib\site-packages\IPython\core\interactiveshell.py in magic(self, arg_s)
   2156         magic_name, _, magic_arg_s = arg_s.partition(' ')
   2157         magic_name = magic_name.lstrip(prefilter.ESC_MAGIC)
-> 2158         return self.run_line_magic(magic_name, magic_arg_s)
   2159 
   2160     #-------------------------------------------------------------------------

C:\Users\jngri\Anaconda3\envs\finpy\lib\site-packages\IPython\core\interactiveshell.py in run_line_magic(self, magic_name, line)
   2077                 kwargs['local_ns'] = sys._getframe(stack_depth).f_locals
   2078             with self.builtin_trap:
-> 2079                 result = fn(*args,**kwargs)
   2080             return result
   2081 

<decorator-gen-60> in time(self, line, cell, local_ns)

C:\Users\jngri\Anaconda3\envs\finpy\lib\site-packages\IPython\core\magic.py in <lambda>(f, *a, **k)
    186     # but it's overkill for just that one bit of state.
    187     def magic_deco(arg):
--> 188         call = lambda f, *a, **k: f(*a, **k)
    189 
    190         if callable(arg):

C:\Users\jngri\Anaconda3\envs\finpy\lib\site-packages\IPython\core\magics\execution.py in time(self, line, cell, local_ns)
   1179         if mode=='eval':
   1180             st = clock2()
-> 1181             out = eval(code, glob, local_ns)
   1182             end = clock2()
   1183         else:

<timed eval> in <module>()

C:\Users\jngri\Anaconda3\envs\finpy\lib\site-packages\backtrader\cerebro.py in run(self, **kwargs)
   1125             # let's skip process "spawning"
   1126             for iterstrat in iterstrats:
-> 1127                 runstrat = self.runstrategies(iterstrat)
   1128                 self.runstrats.append(runstrat)
   1129         else:

C:\Users\jngri\Anaconda3\envs\finpy\lib\site-packages\backtrader\cerebro.py in runstrategies(self, iterstrat, predata)
   1205                 if self._exactbars < 1:  # datas can be full length
   1206                     data.extend(size=self.params.lookahead)
-> 1207                 data._start()
   1208                 if self._dopreload:
   1209                     data.preload()

C:\Users\jngri\Anaconda3\envs\finpy\lib\site-packages\backtrader\feed.py in _start(self)
    201 
    202     def _start(self):
--> 203         self.start()
    204 
    205         if not self._started:

C:\Users\jngri\Anaconda3\envs\finpy\lib\site-packages\backtrader\feeds\yahoo.py in start(self)
    457 
    458         # Prepared a "path" file -  CSV Parser can take over
--> 459         super(YahooFinanceData, self).start()
    460 
    461 

C:\Users\jngri\Anaconda3\envs\finpy\lib\site-packages\backtrader\feeds\yahoo.py in start(self)
     88 
     89     def start(self):
---> 90         super(YahooFinanceCSVData, self).start()
     91 
     92         if self.p.version == 'v7':

C:\Users\jngri\Anaconda3\envs\finpy\lib\site-packages\backtrader\feed.py in start(self)
    669             else:
    670                 # Let an exception propagate to let the caller know
--> 671                 self.f = io.open(self.p.dataname, 'r')
    672 
    673         if self.p.headers:

FileNotFoundError: [Errno 2] No such file or directory: 'YHOO'

thanks for the help.

ab_trader

Could you format the code and output, please?
Hard to understand what is going on there.