react, firebase, golang, openai, yahoo finance, and alpha vantage were used
we searched for gme, and see that it has a bad score
we selected google, you can see the financial data and scores associated with it
you can see the articles used in our score calculations
default stonks view with no stock selected
With the rise of meme stocks taking over the minds of gen-z, vast amounts of young people are diving into the world of finance. We wanted to make a platform to make it easy for young people to choose stocks based on what matters most: the environment.
What it does
Loraxly speaks for the trees: it aggregates realtime stock data along with articles about the environmental impact a company has on the world. It then uses OpenAI's powerful GPT-3 api to summarize and classify these articles to determine if the company's environmental impact is positive or not.
How we built it
Challenges we ran into
some goroutines being ahead of others, fixed this with channels. article summaries not making since, we had to be more granular with our article selection. the chart was tough to setup. we didn't get going until saturday afternoon.
Accomplishments that we're proud of
getting things working
What we learned
alphavantage api has some major rate limiting.
What's next for Lorax.ly
Adding a trading function and creating an ETF comprised of environmentally friendly companies that people can invest in.