TraderRank

Inspiration

We all loved cryptocurrencies and wanted to build an application related to that

What it does

The application takes twitter users data and sees how accurate their sentiment is to the price difference over time.

How we built it

We built it through react and flask, using python and javascript.

Challenges we ran into

We couldn't not get it to fully deploy in time and because of this our backend and frontend were not fully connected by the end.

Accomplishments that we're proud of

Our backend does what we want it to really well, our frontend looks good, and we learned a lot during the process, as we figured out how to use the apis, and structure our data accordingly.

What we learned

We learned that we have a lot of use cases for this application and that with time it could be easily improved.

What's next for TraderRank

The next thing for TraderRank is to have it completed and to work forward towards implements unique twitter users and total sentiment of the market.

Built With

• crypto-compare-api
• flask
• nltk
• python
• react
• tweepy
• yarn