Outwitting the Stock Market

Inspiration

It is common nowadays to see people investing in the stock market at such a young age, therefore it is important for people to make informed decisions before making risky investments

What it does

Based on market sentiment analysis, the program will provide investors with more useful information before investing

How we built it

We plan to use python for both the frontend and the backend. NLP will be used to classify social media posts scraped from social media websites

Challenges we ran into

TBA

Accomplishments that we're proud of

TBA

What we learned

TBA

What's next for Outwitting the Stock Market

After experimenting it on Twitter, we plan to expand its use to other social media platforms

Built With

• amazon-web-services
• flask
• natural-language-processing
• python