MarketVectors
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talolard
Implementations for my blog post [here](https://medium.com/@TalPerry/deep-learning-the-stock-market-df853d139e02#.flflpo3xf)
I am getting the following error messages when I try and run the tensorflow portion of preparedata.ipynb. Not sure where to go from here. with tf.Graph().as_default(): model = Model() input_...
Howdy Tal, Attempting to run this in Tensorflow v1.4, and running into the issue below when replacing tf.pack/unpack with tf.stack/unstack. Any thoughts on what's going on here? I attached full...
Training the RNN¶ with tf.Graph().as_default(): model = RNNModel() input_ = train[0] target = train[1] with tf.Session() as sess: init = tf.initialize_all_variables() sess.run([init]) loss = 2000 for e in range(NUM_EPOCHS): state...
To work with latest TF package, you'll need to make certain modification to the last part namely RNN codes. tf.nn.rnn_cell is no longer there and you'll need to use tf.contrib.rnn.*,...
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In In [23]: TotalReturn = ((1-exp(TargetDF)).sum(1))/num_stocks Normally to go from log return to simple return, we do: R = exp(r) – 1 But you have done opposite R = 1...
