This project aims to predict the next day’s closing price of cryptocurrencies by analyzing historical market data, including open, high, low, close prices, and trading volume
Using a comprehensive dataset that captures daily market movements, we apply advanced machine learning techniques to uncover patterns and trends that help forecast future price fluctuations. By leveraging data points such as previous day prices and volume, the model strives to provide accurate and timely predictions that can assist traders and investors in making informed decisions in the highly volatile cryptocurrency market.
Our goal is to enhance market understanding and support strategic investment through data-driven insights.
You can view and edit the Google Colab notebook used to train the machine learning model by clicking the link below:
Open Google Colab Notebook