Deep-Convolution-Stock-Technical-Analysis
Deep-Convolution-Stock-Technical-Analysis copied to clipboard
philipxjm
Uses Deep Convolutional Neural Networks (CNNs) to model the stock market using technical analysis. Predicts the future trend of stock selections.
I know this isn't really an issue, but I thought this might be the best way to ask the question. Can anyone point me to a good tutorial for writing...
Great article and code. Many thanks. Just wondering though - do you have any thoughts as to how best to reduce the training time. I do not have a GPU...
Hi @ line 103, may I know if it's typo? since the keep_prob will be 0 when dropout is 1, it's strange. if dropout > 0.0: output = tf.nn.dropout(output, keep_prob=1...
I have already trained and saved checkpoints, but can you show me how to use the checkpoint to use the trained model? Sorry I am new to python and CNN
What if, instead of simply using the price history, we included indicators such as RSI, MACD, Polarized Fractal Efficiency, etc? Should that not improve the accuracy? I'd like to investigate...
I am very glad to find somebody focusing on Stock Market with DL technique. Before finding this github, I also pay some time on this and beat with some problems,...
can you add back "fromCharacterToBinary" funciton back? thanks
I'm self-studying to do some technical analysis. One outdate tf command appears and I can't fix it. The command is tensorflow.contrib.learn.python.learn.base.datasets. I think tensorflow upgrade their version and delete contrib....
My name is Luis, I'm a big-data machine-learning developer, I'm a fan of your work, and I usually check your updates. I was afraid that my savings would be eaten...
