Investments usually pose a barrier for the average folks, this inspires us to try to make it approachable, risk-minimized, and easy to "prescribe" a portfolio for any budget/spending styles.
What it does
We optimize investment portfolio by calculating how risky assets in a portfolio perform in and of themselves, and how their returns co-move with other assets.
How we built it
Django and Flask on the front end, python on the back end. We follow modern portfolio theory for risk optimization.
Challenges we ran into
Our first time with Django, the struggle with financial data, deduction of risk formula
Accomplishments that we're proud of
Putting the website together, coming up with a sound formula for optimal risk-minimizing portfolio
What we learned
What's next for Profolio Hack
Change budget constraint, model preferences for liquidity, add fancy graphs, show more statistics, etc.