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.py in the root folder of the project.
• Navigate to http://localhost:5000 to browse the app.