Overview

A machine learning based Bitcoin price prediction system utilizes XGBoost and hyperparameter tuning to analyze historical data, including opening/closing prices, highs/lows, trading volume, and market capitalization. The model predicts Bitcoin prices for the next five days (20-24 Oct 2024), helping investors make data driven decisions in a volatile market, reducing risks, and maximizing potential profits.

Leveraging XGBoost's ensemble learning, the system captures complex price movement patterns. Hyperparameter tuning optimizes key factors like learning rate, tree depth, and sample size, enhancing prediction accuracy. This advanced approach provides reliable insights for cryptocurrency traders, improving investment strategies through predictive analytics.

Found out more on my Github.