C
Thanks for your response!
From now on, I will follow your instructions so that the others can contribute in the future.
so I tried two different things:
class EIKON_HLOC(bt.feeds.GenericCSVData):'''
params = (
('nullvalue' , float('NaN')),
('dtformat', '%Y-%m-%d'),
('datetime', 0),
('open', 1),
('high', 2),
('low', 3),
('close', 4),
('volume', 5),
('openinterest', -1),
)
#This will load pre-made CSV (using Eikon) data
datalist = []
tickers = ['WMT','IBM','C','AAPL.O','MSFT.O']
for ticker in ticker_list:
datalist.append(('{}.csv'.format(ticker), ticker))
#First option using class
datalist = []
for ticker in ticker_list:
datalist.append(('{}.csv'.format(ticker), ticker))
for i in range(len(datalist)):
data = EIKON_HLOC(dataname = datalist[i][0])
cerebro.adddata(data, name=datalist[i][1])
#Second Option using Pandas dataframe
datalist = []
for ticker in ticker_list:
datalist.append(('{}.csv'.format(ticker), ticker))
for i in range(len(datalist)):
# Create a Data Feed
dataframe = pd.read_csv(datalist[i][0], index_col = 0)
dataframe = dataframe.set_index(pd.DatetimeIndex(dataframe.index))
data = bt.feeds.PandasData(dataname=dataframe)
# Add the Data Feed to Cerebro
cerebro.adddata(data)
After several trials, both worked. So finally I can create my own strategies to digest personal data (but still trying to understand the coding structures).
Is there any example sources that I can refer to ?
Thank you!
