I work as a risk manager in a financial firm. I watch, trade and analyze the financial markets in my free time. I came across this interesting article "TIME SERIES PREDICTION USING LSTM DEEP NEURAL NETWORKS" by Jakob Aungiers
[login to view URL]
The full code is available on github: [login to view URL]
I was able to run the program, test, train and save the model, however I am unable to use it to make future predictions. I need a script that will do the following:
Load the trained model; read sp500 data in the form of "Open,High,Low,Close,Volume" from a .csv file; feed the input data to the trained model; generate predictions N bars ahead
; inverse normalizing the predicted close prices, inverse normalizing of the input close prices, plot the input close prices and the predicted price vector ( N bars ahead), save the plot image, save the prediction to a .csv file. That's it. I am attaching the full zip file with the github code. Please note that I have replaced the [login to view URL] file as there was a zero divide issue in the original post.
16 pekerja bebas membida secara purata €135 untuk pekerjaan ini
Interesting! I saw your description, I'm a master of math and I have lots of experiences in Python. I can do your project in short time. keep in touch with me. Thank you
Hi.I am really interested in your project. Especially I have a talent in Python and Statistics. Now I am ready to work for you. Please contact me for any further discuss. Thanks.