@Mario-Pellegrini said in float division by zero:

from pandas_datareader import data,wb
import datetime

import backtrader as bt
from datetime import datetime
data = bt.feeds.Quandl(dataname='FCA.MI',
fromdate = datetime(2017,1,1),
todate = datetime(2018,12,31),
buffered= True )

class MyStrategy(bt.Strategy):
def init(self):
self.rsi = bt.indicators.RSI_SMA(self.data.close, period=14)
def next(self):
if not self.position:
if self.rsi < 30:
self.buy(size=100)
else:
if self.rsi > 70:
self.sell(size=100)

cerebro = bt.Cerebro()
cerebro.addstrategy(MyStrategy)
cerebro.adddata(data)
cerebro.broker.setcash(10000)
cerebro.run()
cerebro.plot()

does it work for you? to me, I repeat, it gives this error, when I execute "cerebro.run ()":
AttributeError: 'NoneType' object has no attribute 'close'

It is not a random code since you also say that the ticker works

Error:
AttributeError: 'NoneType' object has no attribute 'close'

for ENEL.MI, FCA.MI, UCG.MI, ....
maybe on Italian titles?

the code is correct, there must be some problem with this ticker in particular, because with others it works. The fact is that I really wanted this FCA.MI, and with this ticker it returns an error

from pandas_datareader import data,wb
import datetime

import backtrader as bt
from datetime import datetime
data = bt.feeds.Quandl(dataname='FCA.MI',
       fromdate = datetime(2017,1,1),
       todate = datetime(2018,12,31),
       buffered= True )

class MyStrategy(bt.Strategy):
    def __init__(self):
        self.rsi = bt.indicators.RSI_SMA(self.data.close, period=14)
    def next(self):  
        if not self.position:
            if self.rsi < 30:
                self.buy(size=100)  
        else: 
            if self.rsi > 70:
                self.sell(size=100) 


cerebro = bt.Cerebro()
cerebro.addstrategy(MyStrategy)
cerebro.adddata(data)
cerebro.broker.setcash(10000)
cerebro.run()
cerebro.plot()

@Mario-Pellegrini said in float division by zero:

import datetime

import backtrader as bt
from datetime import datetime
data = bt.feeds.Quandl(dataname='FCA.MI',
fromdate = datetime(2017,1,1),
todate = datetime(2018,12,31),
buffered= True )

class MyStrategy(bt.Strategy):
def init(self):
self.rsi = bt.indicators.RSI_SMA(self.data.close, period=14)
def next(self):
if not self.position:
if self.rsi < 30:
self.buy(size=100)
else:
if self.rsi > 70:
self.sell(size=100)

cerebro = bt.Cerebro()
cerebro.addstrategy(MyStrategy)
cerebro.adddata(data)
cerebro.broker.setcash(10000)
cerebro.run()
cerebro.plot()```

@backtrader said in float division by zero:

@Mario-Pellegrini said in float division by zero:

I tried to re-run, surprisingly it alternates the error once yes and a no. Here is the complete code:

Even if your code is still not properly readable (@ab_trader already pointed out that you may want to put the code in a block surrounded by ``` (before and after, as indicated at the top, where a link to the markdown syntax is available) ...

Your "yes/no" seems to indicate a download problem (either no download, or the data doesn't qualify as good or ...)

You may still choose to read directly from Yahoo with backtrader ... but it is your choice.

I tried to read directly from Yahoo as suggested, but in execution of cerebro I get another error:
AttributeError: 'NoneType' object has no attribute 'close'

This is the code used:

from pandas_datareader import data,wb
import datetime

import backtrader as bt
from datetime import datetime
data = bt.feeds.Quandl(dataname='FCA.MI',
fromdate = datetime(2017,1,1),
todate = datetime(2018,12,31),
buffered= True )

class MyStrategy(bt.Strategy):
def init(self):
self.rsi = bt.indicators.RSI_SMA(self.data.close, period=14)
def next(self):
if not self.position:
if self.rsi < 30:
self.buy(size=100)
else:
if self.rsi > 70:
self.sell(size=100)

cerebro = bt.Cerebro()
cerebro.addstrategy(MyStrategy)
cerebro.adddata(data)
cerebro.broker.setcash(10000)
cerebro.run()
cerebro.plot()

@ab_trader said in float division by zero:

If your data is full, was downloaded correctly and corresponds to bt.feeds.YahooFinanceCSVData format than the code shown should not generate division by zero error. If you want to go further, than provide strategy code as well as full error message. Python gives reference to the actual part of the script where the error happens, which helps a lot to identify the problem.

PS Please read the message on top of the forum bout using ``` (aka backtick or grave accent) and use them.

I tried to re-run, surprisingly it alternates the error once yes and a no. Here is the complete code:

from pandas_datareader import data,wb
import datetime
start = datetime.datetime(2014,1,1)
end = datetime.datetime(2019,3,1)
df=data.get_data_yahoo('FCA.MI',start, end)
df.to_csv('C:/dati/test/finance/fca.csv')

data = bt.feeds.YahooFinanceCSVData(
dataname='C:/dati/test/finance/fca.csv',
fromdate=datetime.datetime(2017,1,1),
# Do not pass values after this date
todate=datetime.datetime(2018,12,31),
reverse=False)

class MyStrategy(bt.Strategy):
def init(self):
self.rsi = bt.indicators.RSI_SMA(self.data.close, period=14)
def next(self):
if not self.position:
if self.rsi < 30:
self.buy(size=100)
else:
if self.rsi > 70:
self.sell(size=100)

cerebro = bt.Cerebro()
cerebro.addstrategy(MyStrategy)
cerebro.adddata(data)
cerebro.broker.setcash(10000)
cerebro.run()
cerebro.plot()

@ab_trader said in float division by zero:

If your data is full, was downloaded correctly and corresponds to bt.feeds.YahooFinanceCSVData format than the code shown should not generate division by zero error. If you want to go further, than provide strategy code as well as full error message. Python gives reference to the actual part of the script where the error happens, which helps a lot to identify the problem.

PS Please read the message on top of the forum bout using ``` (aka backtick or grave accent) and use them.

I tried to re-run, surprisingly it alternates the error once yes and a no. Here is the complete code:

from pandas_datareader import data,wb
import datetime
start = datetime.datetime(2014,1,1)
end = datetime.datetime(2019,3,1)
df=data.get_data_yahoo('FCA.MI',start, end)
df.to_csv('C:/dati/test/finance/fca.csv')

data = bt.feeds.YahooFinanceCSVData(
dataname='C:/dati/test/finance/fca.csv',
fromdate=datetime.datetime(2017,1,1),
# Do not pass values after this date
todate=datetime.datetime(2018,12,31),
reverse=False)

class MyStrategy(bt.Strategy):
def init(self):
self.rsi = bt.indicators.RSI_SMA(self.data.close, period=14)
def next(self):
if not self.position:
if self.rsi < 30:
self.buy(size=100)
else:
if self.rsi > 70:
self.sell(size=100)

cerebro = bt.Cerebro()
cerebro.addstrategy(MyStrategy)
cerebro.adddata(data)
cerebro.broker.setcash(10000)
cerebro.run()
cerebro.plot()

I can't get backtrader read directly from Pandas, the following code gives me error:
from pandas_datareader import data,wb
import datetime
start = datetime.datetime(2014,1,1)
end = datetime.datetime(2019,3,1)
data=data.get_data_yahoo('FCA.MI',start, end)
cerebro = bt.Cerebro()
cerebro.adddata(data)

after using the bt.feeds.YahooFinanceCSVData
to extract a dataset with pre-set dates
I have carried out correctly
cerebro.adddata (date)
and set the strategy, but at the time of the run I get the following error:
ZeroDivisionError: float division by zero
The program is structured as follows:

from pandas_datareader import data,wb
import datetime
start = datetime.datetime(2014,1,1)
end = datetime.datetime(2019,3,1)
df=data.get_data_yahoo('FCA.MI',start, end)
df.to_csv('C:/dati/test/finance/fca.csv')

data = bt.feeds.YahooFinanceCSVData(
dataname='C:/dati/test/finance/fca.csv',
fromdate=datetime.datetime(2015,1,1),
# Do not pass values after this date
todate=datetime.datetime(2018,12,31),
reverse=False)

class MyStrategy(bt.Strategy):
...

cerebro = bt.Cerebro()
cerebro.addstrategy(MyStrategy)
cerebro.adddata(data)
cerebro.broker.setcash(10000)
cerebro.run()