Live Feeds with Sentiment Value
Database that holds our historical data for training!

BitcoinSentiment

Hello Everyone,

In 2015, we noticed that Bitcoin had the highest annual return among all the currencies in the World! Of course we wanted to start trading Bitcoins right away to pay off our student debt ASAP! However, trading with technical indicators isn't always effective and way too time consuming. Since we are studying in Computer Science, we wanted to leverage on our skill sets to create a tool that would help us determine the market sentiments for Bitcoins. Unlike major currencies or stocks that are mostly owned by institutions, Bitcoins are actually owned by a lot of people, and of course traders. This means that these people or a group of people can have an impact on the Bitcoin prices, so we need to know the general consensus for Bitcoins! Given that Twitter is known to gather financial news feeds and opinions from certain hedge fund managers and retail traders, we wanted to create a tool that can analyze through live tweets and instantaneously tell the user whether the tweet provides positive, neutral, or negative tweets. In addition, we made sure to differentiate between strong and weak signals. So far for this hackathon, we have made some progress by being able to determine sentiments of live tweets!

This is our first version and we would like to implement a recurrent neural network in the future to replace our naive bayes classifier. This tool is quintessential for any Bitcoin traders and would be an interesting tool for anyone to learn about trading and basic machine learning!

If you have any questions, comments, please do not hesitate to reach out to us!

Best Regards, The BitcoinSentiment team