Forcasting the price, output reading problem

[Ante Lokas]

Im am trying to make simple Bitcoin price forcasting NN.

Time interval is 5 minutes.
network has 4 inputs -- 6hidden layer - 1 output it is taking the following data:
[ Price, Volume, Average_price_of_last_5_intervals, Average_volume_of_last_5_intervals]

All inputs are floats and they are all normalized (between 0-1)

output is [Price of next interval] (which changes each iteration)

I have data for training( cca 500 data rows)
Code iterates for each training data row and does the following:

myNetwork.activate([P_1, Vol_1, Vol_5, P_5])

myNetwork.propagate(learningRate, [desired_result]);

After that I try to get some testing results but I cannot read the value of output layer:

console.log(myNetwork.activate([P_1, Vol_1, Vol_5, P_5]))

Am I missing something , is there another way to read output layer?

[Deleted user]

z = net.activate([ inputs ...
log(Number(z[0]));

[Maksym Rusynyk]

@RaginBrain Did you success with your prediction? Can you share a demo?