Hi @cptanpanic
I am live trading since a few weeks on Bitfinex. Seems to work now after a few hickups. I'm trading with a single data feed/currency on the daily base. Bot sending me emails and telegram messages on all decisions and events.
Used a boilerplate from Rodrigo?? not using the BUY/SELL sentinels. As well got trailing and normal stop loss orders on Bitfinex working canceling them before buying or selling. Want to make it nicer and more generic with arguments like strategy to use to be parsed etc.... and how to use a systemd service on Linux to run the strategy or have it run in a screen... and finally make it available here as a starting point/boilerplate to say thanks to all the superbe people in this forum having made this possible!

hi @mariano-bengeldorf. When plotting the open plot is a process stemming from your console script. Closing the plot will end the script as well. If this is not the problem or in general you can try backtesting with CSV files for example. They are certainly stopping your data feed and thus your script. Makes sense if you want to backtest over bigger time frames as well, having the data ready without loading data from the web API all the time. There are as well parameters to the ccxt feeds I don't remember as I don have my code ready. historical=? or so to ?

Hi @cptanpanic
I am live trading since a few weeks on Bitfinex. Seems to work now after a few hickups. I'm trading with a single data feed/currency on the daily base. Bot sending me emails and telegram messages on all decisions and events.
Used a boilerplate from Rodrigo?? not using the BUY/SELL sentinels. As well got trailing and normal stop loss orders on Bitfinex working canceling them before buying or selling. Want to make it nicer and more generic with arguments like strategy to use to be parsed etc.... and how to use a systemd service on Linux to run the strategy or have it run in a screen... and finally make it available here as a starting point/boilerplate to say thanks to all the superbe people in this forum having made this possible!

@mariano-bengeldorf Did you try using a smaller size. It seems you can not buy with size=100 at a price of about 1000$ per BTC?!

Hi dasch,

Thanks! I did a pip install --upgrade backtrader in my virtualenv which helped! I was sure I already did that but was apparently not true. This now gives me an IndexError I will look into that.

best,
Daniel

Hi everyone,

I am new to backtrader and the forum. After looking at several platforms I came back to backtester.
I am not a professional programmer. However I attempted to import csv data and plot it which fails with AttributeError: 'Plot_OldSync' object has no attribute 'mpyplot'

Can someone point me to the right direction? pudb debugging didn't get me further.

EDIT: setting todate and fromdate to the same values for both data, does not help.

Thanks in advance,
Daniel

import datetime                                                                                                                                                                       
import backtrader as bt                                                                                                                                                               
import backtrader.feeds as btfeeds                                                                                                                                                    
import os                                                                                                                                                                             
import sys                                                                                                                                                                            
                                                                                                                                                                                      
                                                                                                                                                                                      
class GdaxCSVLHOC(btfeeds.GenericCSVData):                                                                                                                                            
    """                                                                                                                                                                               
    bundle loading of gdax CSV files                                                                                                                                                  
                                                                                                                                                                                      
    pass dataname as parameter with the name of the CSV file                                                                                                                          
    """                                                                                                                                                                               
    params = (                                                                                                                                                                        
        # reversed=True takes into account that the CSV data has already been reversed                                                                                                
        #  and has the standard expected date ascending order                                                                                                                         
        ('reverse', False),                                                                                                                                                           
        ('headers', True),                                                                                                                                                            
        ('separator', ","),                                                                                                                                                           
        # defaults to min                                                                                                                                                             
        #fromdate=datetime.datetime(2000, 1, 1),                                                                                                                                      
        # defaults to max                                                                                                                                                             
        #todate=datetime.datetime(2000, 12, 31),                                                                                                                                      
        ('nullvalue', 0.0),                                                                                                                                                           
        # Format used to parse the datetime CSV field                                                                                                                                 
        ('dtformate', '%Y-%m-%d %H:%M:%S'),                                                                                                                                           
        # Format used to parse the time CSV field if "present"                                                                                                                        
        #('tmformat', )                                                                                                                                                               
        #Fields order                                                                                                                                                                 
        ('datetime', 0),                                                                                                                                                              
        ('high', 2),                                                                                                                                                                  
        ('low', 1),                                                                                                                                                                   
        ('open', 3),                                                                                                                                                                  
        ('close', 4),                                                                                                                                                                 
        ('volume', 5),                                                                                                                                                                
        ('openinterest', -1)                                                                                                                                                          
    )                            

if __name__ == '__main__':                                                                                                                                                            
                                                                                                                                                                                      
    # Create a cerebro entity                                                                                                                                                         
    cerebro = bt.Cerebro()                                                                                                                                                            
                                                                                                                                                                                      
    # Data is in an extra folder                                                                                                                                                      
    modpath = os.path.dirname(os.path.abspath(sys.argv[0]))                                                                                                                           
    datapath = os.path.join(modpath, '..', 'data')                                                                                                                                    
                                                                                                                                                                                      
    eth_eur = GdaxCSVLHOC(dataname = os.path.join(datapath, 'ETH-EUR_gdax.csv'),                                                                                                      
                                  # Do not pass values before this date                                                                                                               
                                  fromdate=datetime.datetime(2017, 6, 3),                                                                                                            
                                  # Do not pass values after this date                                                                                                                
                                  todate=datetime.datetime(2017, 8, 10)                                                                                                               
    )                                                                                                                                                                                 
    eth_usd = GdaxCSVLHOC(dataname = os.path.join(datapath, 'ETH-USD_gdax.csv'),                                                                                                      
                                  # Do not pass values before this date                                                                                                               
                                  fromdate=datetime.datetime(2017, 6, 3),                                                                                                             
                                  # Do not pass values after this date                                                                                                                
                                  todate=datetime.datetime(2017, 8, 10)                                                                                                               
    )                                                                                                                                                                                 
                                                                                                                                                                                                                                                                                                                              
                                                                                                                                                                                      
    cerebro.adddata(eth_eur)                                                                                                                                                          
    cerebro.adddata(eth_usd)                                                                                                                                                          
    cerebro.run()                                                                                                                                                                     
    cerebro.plot()                 

I am running this in an up to date virtualenv. Backtrace:

(venv) [noisy:~/devel/planet-trader]: python strategies/bt_strat_gdax_csv.py 
Traceback (most recent call last):
  File "strategies/bt_strat_gdax_csv.py", line 76, in <module>
    cerebro.plot()
  File "/home/daniel/devel/planet-trader/venv/lib/python2.7/site-packages/backtrader/cerebro.py", line 943, in plot
    plotter.show()
  File "/home/daniel/devel/planet-trader/venv/lib/python2.7/site-packages/backtrader/plot/plot.py", line 777, in show
    self.mpyplot.show()
AttributeError: 'Plot_OldSync' object has no attribute 'mpyplot'

Python 2.7.13
my pip packages:

backtrader==1.9.54.122                                                                                                                                                                
certifi==2017.7.27.1                                                                                                                                                                  
chardet==3.0.4                                                                                                                                                                        
cycler==0.10.0                                                                                                                                                                        
DateTime==4.2                                                                                                                                                                         
functools32==3.2.3.post2                                                                                                                                                              
idna==2.5                                                                                                                                                                             
matplotlib==2.0.2                                                                                                                                                                     
numpy==1.13.0                                                                                                                                                                         
pyparsing==2.2.0                                                                                                                                                                      
python-dateutil==2.6.0                                                                                                                                                                
pytz==2017.2                                                                                                                                                                          
requests==2.18.3                                                                                                                                                                      
six==1.10.0                                                                                                                                                                           
subprocess32==3.2.7                                                                                                                                                                   
urllib3==1.22                                                                                                                                                                         
zope.interface==4.4.2