When I ran the example code for calmar.py in backtrader samples it shows calmar result after 35th period instead of the default 36th period.

32 1997-08-31 00:00:00: nan
33 1997-09-30 00:00:00: nan
34 1997-10-31 00:00:00: nan
35 1997-11-30 00:00:00: 0.0009563195353212364
36 1997-12-31 00:00:00: 0.0009563195353212364
37 1998-01-31 00:00:00: 0.0009563195353212364

Can anyone help me?

What is the difference between:
cerebro.addsizer(bt.sizers.FixedSize, **eval('dict(' + args.sizer + ')'))
and:
cerebro.addsizer(bt.sizers.FixedSize, dict(args.sizer))?

I ran the first one and it worked but the second one causes an error.

Can someone please help me?

@run-out Thank you!

When we add the following Sharpe Ratio analyzer

        cerebro.addanalyzer(SharpeRatio, timeframe=bt.TimeFrame.Months)

It only shows one single value. Why it doesn't show Sharpe ratio for each month? Can you please help?

• sharperatio:
  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  - Params:
  - timeframe: 7
  - compression: 1
  - riskfreerate: 0.01
  - factor: None
  - convertrate: True
  - annualize: False
  - stddev_sample: False
  - daysfactor: None
  - legacyannual: False
  - fund: None
  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  - Analysis:
  - sharperatio: -0.0022

Sample code: https://github.com/mementum/backtrader/blob/master/samples/volumefilling/volumefilling.py

def notify_order(self, order):
        print('-- NOTIFY ORDER BEGIN')
        print(order)
        print('-- NOTIFY ORDER END')
        print('-- ORDER REMSIZE:', order.executed.remsize)

        if order.status == order.Completed:
            print('++ ORDER COMPLETED at data.len:', len(order.data))
            self.doop = -self.p.opbreak

@run-out Since in the backtrader docs(backtrader.com/docu/data-multitimeframe/data-multitimeframe/) it says it needs runonce to False.

@run-out Yes I know it speeds up time but what I want to know is why it isn't causing an error because that is what I thought would happen.

Why do we need Cerebro runonce set to false when we are using multiple timeframes?

When I run the sample code in the article below
https://www.backtrader.com/blog/posts/2016-04-28-pivot-point-cross-plotting/pivotpoint-crossplotting/

It produces the same results when I set runonce =True or False

@run-out Here is the link: https://github.com/mementum/backtrader/blob/master/samples/calmar/calmar-test.py

What is the difference between:
cerebro.addsizer(bt.sizers.FixedSize, **eval('dict(' + args.sizer + ')'))
and:
cerebro.addsizer(bt.sizers.FixedSize, dict(args.sizer))?

I ran the first one and it worked but the second one causes an error.

Can someone please help me?

When I ran the example code for calmar.py in backtrader samples it shows calmar result after 35th period instead of the default 36th period.

32 1997-08-31 00:00:00: nan
33 1997-09-30 00:00:00: nan
34 1997-10-31 00:00:00: nan
35 1997-11-30 00:00:00: 0.0009563195353212364
36 1997-12-31 00:00:00: 0.0009563195353212364
37 1998-01-31 00:00:00: 0.0009563195353212364

Can anyone help me?

(BackTrader) PS D:\AndyGoogleDrive\Python\BackTrader> btrun --csvformat btcsv --data datas/2006-day-001.txt --nostdstats --observer :Broker --indicator :Stochastic:period_dslow=5 --plot style="candle"
Traceback (most recent call last):
File "c:\users\andyh.conda\envs\backtrader\lib\runpy.py", line 194, in _run_module_as_main
return _run_code(code, main_globals, None,
File "c:\users\andyh.conda\envs\backtrader\lib\runpy.py", line 87, in run_code
exec(code, run_globals)
File "C:\Users\andyh.conda\envs\BackTrader\Scripts\btrun.exe_main.py", line 7, in <module>
File "c:\users\andyh.conda\envs\backtrader\lib\site-packages\backtrader\btrun\btrun.py", line 164, in btrun
ekwargs = eval('dict(' + args.plot + ')')
File "<string>", line 1, in <module>
NameError: name 'candle' is not defined

Why is the name candle undefined?
It also doesn't work for style line and bar.