Investment Regression

Inspiration

This project was inspired by my dad. He and I often talk about the markets and his different investing strategies. He's been asking me for a while to help him build a program that can analyze his stocks (according to his different strategies, though), so I guess this was my first step towards that.

What it does

It takes a stock ticker and pulls data to run regression models for the stock prices.

How we built it

I built it by webscraping data off the internet then spent time figuring out how to process it and analyze it.

Challenges we ran into

This was challenging for me because I was working by myself and had never done anything involving web scraping data and had limited UI experience. I also found working by myself to be challenging. There were so many more metrics I wanted to calculate like sharpe ratios, etc to include in my regression models but just didn't have time to.

Accomplishments that we're proud of

I'm honestly just proud I have something to turn in. This was my first hackathon and wasn't sure if I even wanted to submit anything, but I ended up getting really invested into this project and had a lot of fun developing it.

What we learned

I learned that hackathons are probably a little easier with a team you can delegate to.

What's next for Investment Regression

I'm probably going to work on improving the models. That will mean calculating more metrics to analyze the company, and I'll probably talk to my dad about the different ways he analyzes stocks when he invests.

Built With

• python