I´m trying to modify the DeepLearn script to include external timeseries that could add new ways to explode this capability.
I have a timeseries downloaded from Quandl that it´s not daily but a sentiment value changing every few days.
The signal that I´m adding to the adviseLong function is just a simple return of the quandl series on that moment, scaled to 100.
The problem is that when I try to train the script I always get the error:

Error 046: MIN LookBack exceeded by 19 bars (99)
Error 014: MIN needs LookBack 99 > 80!
Error 014: MIN needs LookBack 99 > 80!

The LookBack is set to 100, and I´ve tried with higher values, but I keep getting that error.
Anyone knows what it could be?

The timeseries is retrieved from a csv downloaded in Quandl with:

Code:
vars QuandlSeries = series(dataFromCSV(100,"%Y-%....);
vars NQuandlSeries = series(normalize(QuandlSeries[0],100));


and then used on the adviseLong function like:

Code:
if((vLong = adviseLong(NEURAL+BALANCED,0, NQuandlSeries[1])) > Threshold)


The rest of the script is just the one coming with the default zorro installation.

Does anyone know how to add this external timeseries to the deeplearning algorithm so it can be trained and used?