shivanshsinghal107 / Investment-Portfolio

A student Investment portfolio web app built with various optimization techniques and screening parameters from core finance

Home Page:https://quantizers.herokuapp.com/

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Student Investment Portfolio (SIP) (Video Demo)

Aim

This web app is the one-stop destination for all your investment needs and leads to a path of financial freedom.
We, the Quantizers team, have created this web application focusing on students and people coming from low-income class.

Core Finance Concepts & Portfolio Optimization Techniques

We have carefully selected handpicked stocks using Fundamental Analysis method to screen those who shined apart from the hundreds of other stocks present in the Indian Stock Indices.

We have implemented following portfolio optimization techniques from scratch -

  • Markowitz Model - In this model, we can have a portfolio with variable returns for a fixed variance. As the model speaks for itself, we apply this model by fixing the variance to a set value and optimizing it to achieve the highest returns.
  • Minimum Variance - In this technique, we select stocks that generate steady revenue and minimize the portfolio variance to achieve a portfolio that comprises equity, which can hold their own even in the darkest of times.
  • Sharpe Ratio Maximization - In this technique, we maximize sharpe ratio using Monte Carlo Simulations to achieve an aggressive portfolio, which will result in an increment of your net worth by a considerable margin, but they also come with significant risk.

Features

  • Track Investments
  • Optimize Portfolio
  • Obtain Live Stats

Tech Stack

Tools & Technologies

  • Flask (Micro Web framework of python)
  • Bootstrap (CSS framework)
  • PostgreSQL (Relational Database Management System)

Languages

  • Python
  • HTML
  • CSS

Team Quantizers

quantizers

About

A student Investment portfolio web app built with various optimization techniques and screening parameters from core finance

https://quantizers.herokuapp.com/


Languages

Language:HTML 56.5%Language:Python 27.6%Language:Jupyter Notebook 15.9%Language:Procfile 0.0%