Impact Factor
Call For Paper
Volume 12 Issue 07
July 2026
Download Paper Format
Copyright Form
Author(s)
Abstract
Cryptocurrency Markets Are Highly Volatile And Change Rapidly, Which Makes Price Prediction And Decision- Making Difficult For Investors. This Project Presents A Live Cryptocurrency Market Dashboard That Provides Real-time Market Visualization Along With Machine Learning-based Price Prediction And An RSI-based Buy/Sell/Hold Signal System. The System Collects Live Cryptocurrency Data Using The CoinGecko API And Processes It For Analysis. Three Models— LSTM, GRU, And XGBoost—are Used To Predict Future Prices, And Their Performance Is Evaluated Using Metrics Such As MAE, MSE, RMSE, And MAPE. In Addition To Prediction, The Dashboard Calculates The Relative Strength Index (RSI) To Generate Trading Signals That Help Users Understand Whether To Buy, Sell, Or Hold A Cryptocurrency. The Dashboard Is Developed Using Streamlit And Plotly To Provide An Interactive And User-friendly Interface. By Combining Live Data, Machine Learning Models, And Technical Indicators, The Proposed System Acts As A Practical Tool For Cryptocurrency Market Analysis And Basic Investment Decision Support.
Keywords
Paper ID
IJSARTV12I4104896
Publication Date
April 6, 2026
Research Area
Engineering