Predicting stock market prices using Recurrent Neural Network with LSTM.
- Python 3.6
- Flask = 1.1.1
- numpy = 1.17.2
- pandas = 0.25.1
- scikit-learn = 0.21.3
- tensorflow = 1.14.0
- matplotlib = 3.1.1
Use Anaconda as a package manager to easily set up the environment before running the application.
Download the dataset and create a empty folder named "dataset" in the root directory and place the file in it.
- Make sure you have setup the python environment with all the required modules and you have downloaded the dataset.
- Start the flask server with
$ python app.pyin the root folder of the project. - Navigate to
http://localhost:5000to browse the app.