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Crypto-Price-Prediction

AI Model to predict crypto prices using modern machine learning and deep learning methods.

How to use?

Clone the repository using git clone [email protected]:Pirimid/crypto-price-prediction.git. Then follow below steps:

  1. Open the jypyter server on your computer and nevigate to the clone repository.

  2. Open Visualizing cryptocurrency data.ipynb file and run the notebook. It will do some plotting for five different cryptocurrency stated in the file. The plots are related to the prices and the fluctuation in it.

  3. Open CryptoCurrency data EDA.ipynb to see analysis of Bitcoin data. It is really ineresting to see how the prices got changed over the time.

  4. Open the Prediction of Close price for crypto using LSTM.ipynb. In the file we have used LSTM model amd trained it to predict the future close price of Bitcoin, Ethereum and Ripple. We have shown some prediction for each of the currency as an example as well.

  5. Open the Predicting Bitcoin Price using twitter sentiment and numeric data.ipynb notbook. In this notebook we have merged the numeric price data with sentiment score of tweets for each day. This way we can combine the news or tweet data to predict the prices. It can be converted real-world trading application with thi approach.

Model Used

LSTM(Long Short Term Memory) network.