Is it possible to label each plot when plotting multi assets using a PandasData feed?

Matthew Scarborough

I'm utilizing NorgateData to read in local EOD data into a Pandas Dataframe, and then loading that data into a cerebro and plotting it for multiple assets, but unfortunately I'm not finding a way to have each of the plots labeled with the individual tickers. This is a bit of a pain when I'm using a long list of stocks for my universe, and trying to analyze trades.

Is there a way to assign a name to each plot when using a Pandas data feed?

Thanks in advance!

Matthew Scarborough

I found the answer in another post. When I'm looping through my data, I rename the dataframe columns to fit the BT convention, then I convert that into a data feed and apply the name.

I'll share my Norgate Data Code here for future reference.

# Obtain a Pandas dataframe for a given security from Norgate Data
priceadjust = norgatedata.StockPriceAdjustmentType.TOTALRETURN 
padding_setting = norgatedata.PaddingType.NONE   
start_date = '2019-05-01'
#end_date = '2011-12-31'
timeseriesformat = 'pandas-dataframe'

universe = ['AAPL','TSLA']#,'GE','AMD','SPY']

for ticker in universe:
    pricedata_dataframe = norgatedata.price_timeseries(
        ticker,
        stock_price_adjustment_setting = priceadjust,
        padding_setting = padding_setting,
        start_date = start_date,
        #end_date = end_date,
        format=timeseriesformat,
    )

    # Rename columns to suit Backtrader
    pricedata_dataframe.rename(
        columns={ 'Open':'open',  'High':'high', 'Low':'low', 'Close':'close', 'Volume':'volume', 'Open Interest':'open interest'},
        inplace=True)

    data = bt.feeds.PandasData(dataname=pricedata_dataframe)
    data._name = ticker
    cerebro.adddata(data)

Anyways, thanks for creating and sharing such an amazing project.