Crypto currency prediction project (20.09. - 20.12.)
Predicting the price of Etherium.
Used LSTM for prediction model.
You can find a news about the project HERE.
- Chart data (I used this site's API but you can chose your own.)
- Twitter data
- News data
(For Twitter and News data, I made a crawler (not uploaded), but feel free to use any other kinds of API)
- IDE : Pycharm
- Language : Python
- Supported OS : ALL
- Clone this repository
- Download ZIP
- Add the data you are using to the program.
- Change the data input from 'predict_with_news.py'.
- Modify the hyperparameters to fit your taste.
- Run the code!
- Gu, B. (2018). Comparative Analysis on Predicting Performance for KOSPI200 Index using Machine Learning Models. Hankuk University of Foreign Studies, 3-7.
- Ryu, S., Hyun, J., & Lee, S. (2019). An Analysis of Relationship between Social Sentiments and Cryptocurrency Price: An Econometric Analysis with Big Data. The Korea Society of Management information Systems. 21(1). 91-111.
- https://ratsgo.github.io/natural%20language%20processing/2017/03/09/rnnlstm/
- https://www.researchgate.net/post/How_can_I_increase_the_accuracy_of_my_linear_regression