A little patch:

    if self.p.apikey is not None:
        urlargs.append('api_key=%s' % self.p.apikey)

There was a typo previously.

What about implementing Quandl data source internally.
One cons is that API key is mandatory.

Possible due to this :)

https://ichart.yahoo.com/table.csv?s=NFLX&a=0&b=1&c=2016&d=4&e=16&f=2017&g=h&ignore=.csv

Vote to add indicator into main package! It's great for Forex market.

What's reason that f is None?

"version": "1.9.47.116"
backtrader\feed.py

...

def preload(self):
    while self.load():
        pass

    self._last()
    self.home()

    # preloaded - no need to keep the object around - breaks multip in 3.x
    self.f.close()
    self.f = None

...

Traceback (most recent call last):
  File "D:/Projects/trading-bot/main/lab/backtrader/playground.py", line 277, in <module>
	run()
  File "D:/Projects/trading-bot/main/lab/backtrader/playground.py", line 119, in run
	strategies = run_strategy(back_trader, run_mode == RunMode.DevelopIdea, from_date, to_date)
  File "D:/Projects/trading-bot/main/lab/backtrader/playground.py", line 218, in run_strategy
	strategies = back_trader.run()
  File "C:\Users\Home\Anaconda3\lib\site-packages\backtrader\cerebro.py", line 1070, in run
	runstrat = self.runstrategies(iterstrat)
  File "C:\Users\Home\Anaconda3\lib\site-packages\backtrader\cerebro.py", line 1146, in runstrategies
	data.preload()
  File "C:\Users\Home\Anaconda3\lib\site-packages\backtrader\feed.py", line 689, in preload
	self.f.close()
AttributeError: 'NoneType' object has no attribute 'close'

Thanks for suggestion, I replace it with:

back_trader.addanalyzer(TimeReturn, timeframe=bt.TimeFrame.Years, _name='annualreturn')

Looks loke pretty the same for SharpeRatio:

Traceback (most recent call last):
  File "D:/Projects/trading-bot/main/lab/backtrader/morning_buy.py", line 87, in <module>
	strategies = back_trader.run(timeframe=bt.TimeFrame.Minutes)
  File "C:\Users\Home\Anaconda3\lib\site-packages\backtrader\cerebro.py", line 794, in run
	runstrat = self.runstrategies(iterstrat)
  File "C:\Users\Home\Anaconda3\lib\site-packages\backtrader\cerebro.py", line 927, in runstrategies
	strat._stop()
  File "C:\Users\Home\Anaconda3\lib\site-packages\backtrader\strategy.py", line 421, in _stop
	analyzer._stop()
  File "C:\Users\Home\Anaconda3\lib\site-packages\backtrader\analyzer.py", line 194, in _stop
	self.stop()
  File "C:\Users\Home\Anaconda3\lib\site-packages\backtrader\analyzers\sharpe.py", line 173, in stop
	ret_free_avg = average(ret_free)
  File "C:\Users\Home\Anaconda3\lib\site-packages\backtrader\mathsupport.py", line 38, in average
	return math.fsum(x) / (len(x) - bessel)
ZeroDivisionError: float division by zero

I'm optimizing parameters for strategy.
Sometimes when strategy is full of fear, so perform no action. In suck situations ZeroDivisionError: float division by zero occur.

Traceback (most recent call last):
  File "D:/Projects/trading-bot/main/lab/backtrader/morning_buy.py", line 86, in <module>
	strategies = back_trader.run(timeframe=bt.TimeFrame.Minutes)
  File "C:\Users\Home\Anaconda3\lib\site-packages\backtrader\cerebro.py", line 794, in run
	runstrat = self.runstrategies(iterstrat)
  File "C:\Users\Home\Anaconda3\lib\site-packages\backtrader\cerebro.py", line 927, in runstrategies
	strat._stop()
  File "C:\Users\Home\Anaconda3\lib\site-packages\backtrader\strategy.py", line 421, in _stop
	analyzer._stop()
  File "C:\Users\Home\Anaconda3\lib\site-packages\backtrader\analyzer.py", line 194, in _stop
	self.stop()
  File "C:\Users\Home\Anaconda3\lib\site-packages\backtrader\analyzers\annualreturn.py", line 84, in stop
	annualret = (value_end / value_start) - 1.0
ZeroDivisionError: float division by zero

I checked that

b_trader.broker.setcash(1000.0)

was called earlier.

Schedule main loop! I prefer APScheduler as it's flexibily for reports running based on schedule.

In my particular case

line._plotvalue = False

helps.

Thanks for flexible solution!

Am I missing something or there is not option to reach (cancel) this code in Plot_OldSync.plotind()?

        if not math.isnan(lplot[-1]):
            label += ' %.2f' % lplot[-1]