One such system is already in development. Take a look: OmegaUI. It uses dash/plotly framework as well.

Thanks
Vlad

Just curious - why add the dependency on Google API - just because it fits into the always free plan ?

The alternative could be to just get the N1 VM instance and use the 300$ free trial credit. Such node will cost you around 25$ monthly (assuming 10GB of storage and Linux OS - which is probably more than you need, given your trading frequency) so that this credit will cover a full year of trial.

Then you may just run whatever you want on this node, using a standard Backtrader API without any dependency on Google Cloud APIs.

@backtrader said in Does backtrader suppress logging emitted to stdout by the Python logger internally to Cerebro?:

https://community.backtrader.com/topic/376/eodevelopment-1-x

Sorry to hear about EOD. Was the development of 2.x started, or am I missing something big ?
I actually like the platform very much and the fact that it is open source (and not only because of it being free ) is a huge advantage. So I wonder why to stop the development ?

Sorry, some text got inside the code section, quoting it once again:

So it seems not a large effort to refactor it to use the standard logging. Of cause this need to be properly designed and discussed.

Would such pull request be accepted by the maintainer(s) ?
Or there is some principal position to use just a plain prints ?
Or there is another design direction ?

Thanks
Vlad

Hi all,

I do also see the benefits of using standard python logging capabilities throughout the framework and user code:

• easy logging redirection (stdout, files, log servers)
• possible external configuration
• filtering (by components, by log levels)
• there are probably others that I can't think about right now

The question is an effort estimation and someone willing to invest - and I actually do want to try.

Looking at the backtrader's source code, it seems there are just a few places that directly use 'print' to output to stdout/stderr (excluding samples and tests ).

Searching 343 files for "print" (case sensitive, whole word)

\\vladnas\work\backtrader\backtrader\brokers\oandabroker.py:
  102:                 print('position for instrument:', p['instrument'])

\\vladnas\work\backtrader\backtrader\btrun\btrun.py:
  148:             print('====================')
  149:             print('== Analyzers')
  150:             print('====================')
  153:                     analyzer.print()
  155:                     print('##########')
  156:                     print(name)
  157:                     print('##########')
  354:                 print('')
  355:                 print('Failed to load module %s:' % modpath, e)
  363:             print('No class %s / module %s' % (str(name), modpath))
  398:                 print('')
  399:                 print('Failed to load module %s:' % modpath, e)
  407:             print('No function %s / module %s' % (str(name), modpath))
  631:                        help=('Automatically print analyzers'))
  635:                        help=('Automatically PRETTY print analyzers'))

\\vladnas\work\backtrader\backtrader\feeds\influxfeed.py:
   69:             print('Failed to establish connection to InfluxDB: %s' % err)
   96:             print('InfluxDB query failed: %s' % err)

\\vladnas\work\backtrader\backtrader\feeds\vcdata.py:
  581:         print('*' * 50, 'DEBUG OnNewTicks')
  583:             print('-' * 40)
  584:             print('tick.SymbolCode', tick.SymbolCode.encode('ascii', 'ignore'))
  586:             print('  tick.Field   : {} ({})'.format(fname, tick.Field))
  587:             print('  tick.FieldEx :', tick.FieldEx)
  591:             print('  tick.Date    :', tdate)
  593:             print('  tick.Index   :', tick.TickIndex)
  594:             print('  tick.Value   :', tick.Value)
  595:             print('  tick.Text    :', tick.Text.encode('ascii', 'ignore'))


\\vladnas\work\backtrader\backtrader\stores\ibstore.py:
  329:             print(*args)
'''

So it seems not a large effort to refactor it to use the standard logging. Of cause this need to be properly designed and discussed.

Would such pull request be accepted by the maintainer(s) ? 
Or there is some principal position to use just a plain prints ? 
Or there is another design direction ?

Thanks
Vlad

My understanding is that trades are reported when the position in a particular instrument is eliminated (goes to zero). In case you are trading the same instrument with partial orders ( like sell 5% of your holding and buy it back ) the trade notification will not be generated - that's what I saw. However I'd wait for more experienced forum members to reply of cause, in case I'm wrong.

Probably not directly related to multiple data feeds speedup - but the following post discussed some ways of speeding up the feed's loading times (including some caching):

How to speed up backtest

Thanks
Vlad

Hi Ed,

Did you consider submitting a pull request to backtrader's repository ? Seems like a pretty useful and important store/feed IMHO.

I'm planning to use it in my system - will share any feedback I'll have of cause.

Thanks for your work,
Vlad

I think this question was already answered few times. Please take a look:
Is there way to track open orders with IB broker?
Is it possible to retrieve all the open/active orders from Interactive Broker?
Ways to repopulate IB trades/orders in strategy after shutdown

You may probably find other similar questions & answers by searching for 'open orders'.

Ended up with just a small change that 'fixes' the issue for me (probably not the best fix of cause):

diff --git a/backtrader/feeds/ibdata.py b/backtrader/feeds/ibdata.py
index ab3c184..84cff62 100644
--- a/backtrader/feeds/ibdata.py
+++ b/backtrader/feeds/ibdata.py
@@ -408,7 +408,7 @@ class IBData(with_metaclass(MetaIBData, DataBase)):

     def reqdata(self):
         '''request real-time data. checks cash vs non-cash) and param useRT'''
-        if self.contract is None:
+        if self.contract is None or self._state == self._ST_LIVE:
             return

         if self._usertvol:

Thanks