Hello!

I would like to prepare training data to predict stock flow. 
Prediction should be based on 2 inputs (date, stock currency)
input data :
date, stock_currency
1.1.2004,  1000.00
2.1.2004,  1120.00
5.1.2004,  1230.00
7.1.2004,  1150.00
10.1.2004,1040.00
11.1.2004, 999.00
1.2.2004,  945.00
How should training instances look like?
I use nnet function to train the model and predict function with parameter type="raw", because output must be a numerical value. 

I would appreciate if someone could give me any opinion to solve the problem I mentioned above. 
Regards, Leonn Turner!
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