Predicting the Fluctuations and Flow of Cryptocurrency Using ML Algorithms

Predicting the Fluctuations and Flow of Cryptocurrency Using ML Algorithms

Jeyashree kothai Alwan, Aryan Dwivedi,Raghav Malviya, Manojkumar Muthukumaran, Abhisek Mallick, Shafia Mahedi, Mohammed Ziyan Ahmed, Kamisetty Sai Smaran

INTRODUCTION

1.1                                          OBJECTIVE

The objectives of the proposed work is to identify the parameters such as high, open and close within the dataset for various types of cryptocurrencies and use it predict the cryptocurrency price through various deep learning algorithms of LSTM, Linear Regression, SGD Regression, Support Vector Regression, Random Forest Regression. Once the price prediction is achieved, comparative analysis can be performed between all the models to identify the most accurate model that best fits the practicality of using it within our application. This provides us the feasibility to understand the requirements of the best model and it‟s working for the of real-world cryptocurrency price prediction. We use MSE which helps to measure the differences between values predicted by a model and the values observed. The predicted output of the price can be evaluated within the bound of open and high values to get us a suitable prediction.