Inspiration
Creating awareness and financial literacy.
What it does
Using the user’s risk aversion, create a simple portfolio within a certain budget from 10 preselected risky and safe assets such as stocks and crypto using live prices.
How we built it
In a team made up of people majoring in different aspect of fields, we were able to split up the work in a efficient manner that suits everyone. Team members with CS background work on the actual implementation, and members with management and business background generate ideas and build prototype and deck using Figma.
Challenges we ran into
A major challenge for us is how to communicate between different languages. Because Javascript is suitable for front end and Python is suitable for data analysis, we decided to use both languages. However, it means that we need to use tools such as Flask and Express to send post and get requests. Having little time left, we were unable to figure out a way for Python to send back matplotlib graph to Javascript and present it in a web browser, but we have the implementation ideas for how Javascript can send JSON file to Python using Express.
Accomplishments that we're proud of
- Built a running website that deals with user input and generates the risk aversion index
- Built a python program that ...
- Built a machine learning program that ...
## What we learned
As a team made up of three first timers, we learned that Hackathon is mostly learning on the fly. There's nothing that someone can't do because of the infinite resources online. To summarize: set ambitious but reachable goals and they are doable.
## What's next for Optimal portfolio creater
Built With
- figma
- javascript
- python
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