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yep.... more exactly the close or high or low.... thats whats already done... but I hope it will get better results using deep learning ....
NormalizeDouble (in mql5)
from keras.layers import BatchNormalization (but this is for images)
to normalize price data:
def sigmoid(x): return 1 (1 + math.exp(-x))
( Deep Reinforcement Learning for Trading with TensorFlow 2.0 (mlq.ai) )
What I'm now traying, is to make an executable from a .py (autopytoexe) and from there with visual a dll. Lets see if this works... If I can use all ta features as inputs for dl it might give better results (at least I need to check it).
You are getting a sigmoid on the outputs , how did you convert it back to price ?
f***it!
I didn't know ta-lib had library for C ... this should work.
You are getting a sigmoid on the outputs , how did you convert it back to price ?
don't know yet ... have not reached that point ... but, you can make a new column with the sigmoid outputs, so you can have both, the price and the normalized value.