Year: 2025
Type: article
Abstract: - Cryptocurrency markets are highly volatile, making accurate price prediction a challenging yet crucial task for traders and investors. This project presents an AI-powered cryptocurrency price prediction bot that integrates machine learning with the W.D. Gann algorithm. The AI model utilizes deep learning techniques, such as Long Short-Term Memory (LSTM) networks, to analyze market trends, while Gann’s time and price theories enhance the model’s predictive capabilities. By combining statistical analysis with geometric price patterns, the bot aims to provide reliable trading signals. The implementation is designed as a user-friendly application using Streamlit, allowing traders to visualize price trends and make informed decisions Key Words: Cryptocurrency , W.D. Gann algorithm, AI, deep learning , price prediction
DOI: 10.55041/ijsrem45157
Author: Rekha Sahare
Language: English
Field: Decision Sciences
Domain: Social Sciences
Open Access status: bronze
OpenAlex ID: W4409813234