@vladisld
I did the following as suggested by you.

When I run cerebro.run(maxcpus=1) I see is the following error:

'float' object has no attribute 'Adjclose'

I did check for the data using a simple pandas dataframe it looks good to me
print(niftbess.Adjclose.describe()),sum(niftbess.Adjclose.isnull())

output:

count 248.000000
mean 157.020363
std 17.516396
min 115.760000
25% 146.550000
50% 158.610000
75% 169.332500
max 192.650000
Name: Adjclose, dtype: float64

@vladisld

Would bother for another help. I have done the changes as suggested by you I am not getting the following error.

The only change is did was the following

bktest = cerebro.run(maxcpus=1)

===============================================
17 cerebro.addanalyzer(bt.analyzers.TimeDrawDown,_name = "Drawdown Time")
18
---> 19 bktest = cerebro.run(maxcpus=1)
20
21 end_portfolio_value = cerebro.broker.getvalue()

TypeError: init() got an unexpected keyword argument 'period'

If I remove the maxcpus=1 from the function
bktest = cerebro.run()
I get the following error:

TypeError: cannot pickle 'module' object

@vladisld Thanks . That helped.

I am trying to run the following strategy on Nippon NIFTY BEES and while trying to run the main program getting the following error. I am running the code on VScode platform.Any help is highly appreciated.

class smacross(bt.SignalStrategy):

#params = (('fast',100),('slow',200))

def __init__(self):
    self.adjclose = int(float(self.data[0].Adjclose))
    self.sma100 = bt.ind.SimpleMovingAverage(self.adjclose,period=100)
    self.sma200 = bt.ind.SimpleMovingAverage(self.adjclose,period=200)

    #Checking to see if the 'adjclose' is greater than sma100 and sma200
    up_over_sma = self.adjclose > self.sma100
    up_over_ema = self.adjclose > self.sma200

    down_over_sma = self.adjclose < self.sma100
    down_over_ema = self.adjclose < self.sma200



   
    # Objective is to check if sma100 is greater than sma200
    sma_ema_diff = self.adjclose - self.sma200
    
    #self.crossover = bt.ind.CrossOver(sma1,sma2)
    #Buy signal is given if adjclose > sma100 & adjclose >sma200 and sm100-sma200 >0
    #Sell signal is given is adjclose < sma200 and adjclose-sma200 < 0
    self.buy_signal = bt.And(up_over_sma,up_over_ema,sma_ema_diff > 0)
    self.sell_signal = bt.And(down_over_ema,sma_ema_diff < 0)
    
    self.signal_add(bt.SIGNAL_LONG,self.buy_signal)
    self.signal_add(bt.SIGNAL_SHORT,self.sell_signal)

cerebro = bt.cerebro()
cerebro.optstrategy(smacross,period=(100,200))
cerebro.broker.setcash(200000.0)
cerebro.addsizer(bt.sizers.percents_sizer,percent=25)

data = bt.feeds.YahooFinanceCSVData(dataname='NIFTYBEES.csv')
cerebro.adddata(data)

#if name == 'main':

start_portfolio_value = cerebro.broker.getvalue()
print('Starting portfolio value is Rs %s' % start_portfolio_value)

cerebro.addanalyzer(bt.analyzers.SharpeRatio,_name = "Sharpe")
cerebro.addanalyzer(bt.analyzers.AnnualReturn,_name = "Annual Return")
cerebro.addanalyzer(bt.analyzers.DrawDown,_name = "Drawdown")
#cerebro.addanalyzer(bt.analyzers.standarddev,_name= "StdDev")
cerebro.addanalyzer(bt.analyzers.TimeDrawDown,_name = "Drawdown Time")

bktest = cerebro.run()

end_portfolio_value = cerebro.broker.getvalue()
pnl = end_portfolio_value - start_portfolio_value

print('Ending portfolio value is Rs %s' % end_portfolio_value )
print("PnL is Rs %s" % pnl)

Error shown:

TypeError Traceback (most recent call last)
<ipython-input-14-fee156ded6a0> in <module>
----> 1 cerebro = bt.cerebro()
2 cerebro.optstrategy(smacross,period=(100,200))
3 cerebro.broker.setcash(200000.0)
4 cerebro.addsizer(bt.sizers.percents_sizer,percent=25)
5

TypeError: 'module' object is not callable

@tony-shacklock said in #ValueError #Invalid #literal for #int() while running #cereber.run():

@nsananguly
Have you tried setting maxcpus=1?
cerebro.run(maxcpus=1)
I think this is needed when optimising, but I don't know if it's related to your error.

I tried it out. Didnt work. But I am sure your suggestion will come handy further down the line. Thanks on that

@tony-shacklock said in #ValueError #Invalid #literal for #int() while running #cereber.run():

maxcpus=1

I actually tried it out. It worked a few times and then started throwing error.

What I did was give the int() function
self.adjclose = int(self.data[0].Adjclose)
and its working for now. Not sure if this will throw up error going further.

@atori Can you suggest what did you do to correct the error ?
I am also facing the same error.

Error that I get is :
ValueError -> 14 cerebro.run()

ValueError: invalid literal for int() with base 10: '28-0'

Seeking guidance on what has gone wrong and how can this be course corrected .

Pasting part of my code here . Which is simple moving average crossover. When I run cerebro.run(). I get the following error

Code:

cerebro = bt.Cerebro()
data = bt.feeds.YahooFinanceCSVData(dataname='NIFTYBEES.NS.csv')
cerebro.adddata(data)
cerebro.optstrategy(smacross,ma100=100,ma200=200)
cerebro.broker.setcash(100000)
cerebro.addsizer(bt.sizers.percents_sizer,percent=25)
cerebro.addanalyzer(bt.analyzers.SharpeRatio,_name = "Sharpe")
cerebro.addanalyzer(bt.analyzers.AnnualReturn,_name = "Annual Return")
cerebro.addanalyzer(bt.analyzers.DrawDown,_name = "Drawdown")
cerebro.addanalyzer(bt.analyzers.Returns,_name = "Returns")
cerebro.addanalyzer(bt.analyzers.standarddev,_name= "StdDev")
cerebro.addanalyzer(bt.analyzers.TimeDrawDown,_name = "Drawdown Time")

bktest = cerebro.run()
cerebro.broker.get_value()

Error that I get is :

ValueError -> 14 cerebro.run()

ValueError: invalid literal for int() with base 10: '28-0'

Seeking guidance on what has gone wrong and how can this be course corrected .