GREEN GREEN

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  GREEN GREEN website interface

Inspiration

We are environmentally conscious people who who want to start investing but didn't know where to start with finding stocks which aligned with our beliefs.

What it does

This project pulls from the S&P 500 and the carbon footprint index associated with those companies. It determines the best stocks for the user to buy based on the balance between return on investment and environmental impact. It provides a personalized AI assistance that summarizes data in a easy to digest way for all levels to understand.

How we built it

We pulled live data from the S&P 500 and the MSCI ESG score and calculated the composite score based on the weight of environmental and financial gain to calculate the projected return. We utilized Claude AI and collaborated to figure out formulas to calculate the ranking.

Challenges we ran into

Pulling live data from S&P 500 and ensuring the AI advisor was accurately reading the data. Making it accessible and intuitive for all users.

Accomplishments that we're proud of

Figuring out the calculation and ensuring the balance sliders work with our risk tolerance to calculate the projected outcome of investing into these stocks.

What we learned

How to call API and implement it in our systems. Additionally, examining trends in the current stock market like financial returns and its environmental impact.

What's next for GREEN GREEN

Scaling to the rest of the stock market and making it a valuable resource for not just beginners but also experienced investors. Expanding our focus to include different fields and user goals.

Built With

• css
• html
• javascript