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.

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