Tweets to Stock Price Fluctuations

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  Home page (/home)

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  Slider page (/impact)

Inspiration

We were inspired by how many Twitter users have had profound impact on real-world things, both positively and negatively, and wanted to start this query by showing the relationships between tweets and stock market prices, as there is very notable evidence of some CEOs tweets having an effect there

What it does

Our web app takes about 10 CEOs/political figures and finds their top 10 tweets that have been responded to the most via likes, comments, and retweets, and then finds the stock market price changes across the week after the tweet was posted for each user.

How we built it

We used a Python backend and a React JS frontend. The backend was able to access Tweepy and make different routes for our API to compute the top ten tweets and the stock price changes.

Challenges we ran into

We ran into the issue of integrating Python and React, as none of the team had worked with Django or Flask before and felt it to be fairly confusing, as we solely wanted to integrate our work to be used together. It was also a bit of a challenge unpacking the data returned by Tweepy in React

Accomplishments that we're proud of

We're proud of pulling this off in a short span of time! We're also proud of the idea and how it evolved as we worked- we truly see the effects that social media like Twitter is bringing onto society, and we want to show both the good and bad sides to younger people as they grow more and more attached to their phones.

What we learned

We learned that having plans for integration at the start is much less stressful then at the end.

What's next for Tweets to Stock Price Changes

We hope to increase the user base to all verified users, and show different impacts rather than just stock market changes. We also want to analyze the sentiment of the most received tweets to determine if people may have reacted positively or negatively to them.

Built With

• flask
• python
• react