A recurrent neural network (RNN) with long short-term memory that can predict future stock prices for stocks and ETFs on the market made using Scikit-learn, Keras, and results displayed with Matplotlib.
Sample testing / data files are included in the /data_and_tests folder. requirements.txt has all the packages needed for this to run, and you may need to recompile the model for the first run on your device.
-
Notifications
You must be signed in to change notification settings - Fork 0
MichaelSDavid/StockPredictor
Folders and files
| Name | Name | Last commit message | Last commit date | |
|---|---|---|---|---|
Repository files navigation
About
A recurrent neural network with long short-term memory that can predict future stock prices for stocks and ETFs on the market