Cryptweets

Integrating Twitter API with transformers to predict future movement of cryptocurrencies and stocks It is known that social media platforms like twitter plays an imortant role in determining the price of financial asset platforms like stock market and crytpocurrencies. It is expected to increase the price of Doge after a tweet from Elon musk. Here the sentiment of public about a cryptocoin or stock (or any current issue going on!) could be calculated with the help of twitter api and huggingface transformers and a little mathematics

Libraries used

tweepy - 4.8.0

emoji - 1.7.0

transformers - 4.18.0

streamlit - 1.8.0

torch -

How to configure

Tweets related to specific keyword is extracted with the api and then it's sentiment is analysed to predict the movement of curresponding asset. The project is deployed in streamlit platfrom. It could be find here.

The project colab page could be found here