Portfolio-Management-System

Motivation

In these unprecedented times many people have lost their wealth because of wrong investment decisions made, which are encouraged by human emotions.
A strong system built on back-tested data would drive away human emotions and help people to make the right investment decision purely based on algorithms and statistics.
Less than 1.5% of people in India invest in the stock markets and the majority lack knowledge in terms of the right stocks to invest and how to manage their portfolios efficiently.
Our aim is to build a strong portfolio management system which would encourage more people to invest in the markets and make the right investment decisions.

Design and create a portfolio management system which aims to :

Maximize the alpha (returns) and minimize the risk.
Implement various trading & investing strategies using technical & fundamental analysis.
Optimize strategies using machine learning algorithms.
Use Algorithmic Trading to remove the psychological & emotional bias faced during the investment process.

Clone the repository git clone https://github.com/bpagare6/Portfolio-Management-System.git
Create virtual environment inside the Portfolio-Management-System folder.
Activate the virtual environment.
Download the requirements, pip install requirements.txt
Go inside the portfolio_management_system folder which is actual Django project.
Create a .env file from which your environment variables will be fetched.
Make database up to date, python manage.py makemigrations and python manage.py migrate
Run the project python manage.py runserver
Visit localhost:8000 in your browser and you should be able to use the project 😃.

Send the pull request, we will review it and if possible will merge it in the codebase 😃.