7 days of
Ethereum
The graph to the left displays the price of Ethereum over the last seven days (in USD). Due to its clear volatility, we believed its market swings to be heavily influenced by hope and fear.
Through the analysis of people's tweets, we were able to develop a model that predicts how the price of Ethereum will change from day to day.
The graph to the left displays the price of Ethereum over the last seven days (in USD). Due to its clear volatility, we believed its market swings to be heavily influenced by hope and fear.
To test our theory, we produced this graph - seven days of Ethereum tweet sentiments on a scale from 0-1 (with 0 being entirely negative, and 1 being entirely positive). The correlation with price is very strong, as R^2 is greater than 0.44. This suggests that tweet sentiment is a strong predictor of Ethereum pricing.
Our project relies on the advanced capabilities of a number of web services to function.
Interested in learning more? Read below to understand each step of the process.
Cryptonite anticipates market trends through the use of an advanced machine learning algorithm.
Cryptonite employs a Django back end to dynamically update as predictions change.
Cryptonite uses an SVM built with Azure's Machine Learning Studio to identify tweet sentiment.
Cryptonite uses a private API powered by Azure's Web Service to access data efficiently.
Cryptonite accesses the World Coin Index's API to record the price of Ethereum over the last 90 days.
Cryptonite is available in the entire world through the power of Heroku's free hosting plan.