Adding multiple indicators from csv

pincopallo

I'm trying to add a second indicator into my datafeed class but it doesn't work
I tried different options but nothing, I show the last script

class GenericCSV_PE(btfeeds.GenericCSVData):

lines = ('1indicator',),('2indicator',)
  
params = (('1indicator',8),('2indicator', 9),)

this is the output

TypeError: getattr(): attribute name must be string.

Thanks in advance

pincopallo

Using this code I can create the class but it doesn't work

import backtrader as bt
import backtrader.feeds as btfeeds
from datetime import datetime
from datetime import date
import backtrader.plot
import matplotlib
matplotlib.use('TKAgg')
from matplotlib import pyplot as plt
from backtrader_plotting import Bokeh
from backtrader_plotting.schemes import Tradimo

class GenericCSV_PE(btfeeds.GenericCSVData):

params = (
    ('dtformat', '%Y%m%d'),
    ('datetime', 0),
    ('open', 1),
    ('high', 2),
    ('low', 3),
    ('close', 4),
    ('adjusted',5),
    ('volume', 6),
    ('1indicator',7),
    ('2indicator',8),
        )

class trump_lev(bt.Strategy):

def __init__(self):
    self.2indicator = data.2indicator
self.1indicator = data.1indicator
def next(self):
    if not self.position:
        if self.1indicator[-1]>35:
            if self.2indicator'[-1] < -0.5:
                self.sell(size=1)
            if self.dyn_corr[-1]>0.3:
                self.buy(size=1)



    else:
        if self.1indicator[-1]>35:
            if self.position.size >0:

                 if self.dyn_corr[-1] < -0.2:
                    self.close(size=1)


            elif self.position.size<0:
                  if self.dyn_corr[-1]>0.2  :
                    self.close(size=1)
    portvalue = cerebro.broker.getvalue()

    print('Portfolio Value: ${}'.format(portvalue))
    print(self.position.size)

.......

vladisld

I wonder how it even compiles. Identifiers in python can't start with a number.

Quoting https://beginnersbook.com/2019/03/python-keywords-and-identifiers/:

The name of the variable must always start with either a letter or an underscore (_). For example: _str, str, num, _num are all valid name for the variables.
The name of the variable cannot start with a number. For example: 9num is not a valid variable name.
The name of the variable cannot have special characters such as %, $, # etc, they can only have alphanumeric characters and underscore (A to Z, a to z, 0-9 or _ ).
Variable name is case sensitive in Python which means num and NUM are two different variables in python.

pincopallo

I'm sorry this is the exact code. 1indicator and 2 indicator was generic

import backtrader as bt
import backtrader.feeds as btfeeds
from datetime import datetime
from datetime import date
import backtrader.plot
import matplotlib
matplotlib.use('TKAgg')
from matplotlib import pyplot as plt
from backtrader_plotting import Bokeh
from backtrader_plotting.schemes import Tradimo

class GenericCSV_PE(btfeeds.GenericCSVData):
params = (
('dtformat', '%Y%m%d'),
('datetime', 0),
('open', 1),
('high', 2),
('low', 3),
('close', 4),
('adjusted',5),
('volume', 6),
('dyn_corr',8),
# ('trump_trend',9),
)

################################################### strategy n. ###################################################

class trump_lev(bt.Strategy):

def __init__(self):
    self.dyn_corr = data.dyn_corr
    self.trump_trend = data.trump_trend
def next(self):
    if not self.position:
        if self.trump_trend[-1]>35:
            if self.dyn_corr[-1] < -0.5:
                self.sell(size=1)
            if self.dyn_corr[-1]>0.3:
                self.buy(size=1)


    else:
        if self.trump_trend[-1]>35:
            if self.position.size >0:

                 if self.dyn_corr[-1] < -0.2:
                    self.close(size=1)


            elif self.position.size<0:
                  if self.dyn_corr[-1]>0.2  :
                    self.close(size=1)
    portvalue = cerebro.broker.getvalue()

    print('Portfolio Value: ${}'.format(portvalue))
    print(self.position.size)

#Variable for our starting cash
startcash = 3000

#Create an instance of cerebro
cerebro = bt.Cerebro()

#Add our strategy
cerebro.addstrategy(trump_lev)

#Get S&P500 from CSV
data = GenericCSV_PE(
dataname= r'C:\Users\MARCOFIORAVANTIPC\Google Drive\MSC FINANCE AND BANKING\thesis_2\apollo 1\dataset\dataset.csv',

fromdate=datetime(2019, 1, 1),

todate=datetime.datetime(2019, 12, 31),

nullvalue=0.0,

dtformat=('%Y-%m-%d'),

datetime = 1,
open = 2,
high = 3,
low = 4,

close = 5,
adjusted = 6,

volume = 7,

dyn_corr = 12,
trump_trend = 13,

    )

#Add the data to Cerebro
cerebro.adddata(data)

Set our desired cash start

cerebro.broker.setcash(startcash)

Run over everything

cerebro.run()

#Get final portfolio Value
portvalue = cerebro.broker.getvalue()
pnl = portvalue - startcash

#Print out the final result
print('Final Portfolio Value: ${}'.format(portvalue))
print('Initial Portfolio Value: ${}'.format(startcash))
print('P/L: ${}'.format(pnl))

#Finally plot the end results
cerebro.plot(iplot=False)
cerebro.plot()