Stock portfolio Suggestor Application

A Python based Flask application, that is responsible for suggesting the best stock out of selected strategies using a Machine Learning Model.

React.js for Frontend

To run frontend:

Go inside the frontend folder where package.json file resides and run following commands:

First set node.js version 16.x

1. npm install
2. npm start

Python Backend (Using Flask)

Flask is used for writing REST API's in python

https://www.geeksforgeeks.org/python-build-a-rest-api-using-flask/

https://iexcloud.io/ is being used to get the current stock data.(API_KEY is used to retrieve data)

To run backend:

Go inside the backend folder and run following commands: First set python version as 3

To setup basic python environment

1. pip install virtualenv
2. virtual env
3. source env/bin/activate

To run flask server, run following commands:

1. pip install
2. python app.py

If the backend dependencies are not set up properly, then as an alternative, run following commands at the root of backend folder:

Necessary Python3 packages:

1. sudo pip3 install flask-restful
2. sudo pip3 install -U flask-cors
3. sudo pip3 install -U python-dotenv https://pypi.org/project/python-dotenv/
4. sudo pip3 install -U requests

Note: Python3 is a pre-req for this to run in any system. Check if pip3 is also there.

.env file should be there that should contain API KEY from iexcould site. This file should be placed at the root of the backend folder.