Title: Cryptocurrency Arbitrage Prediction Using Deep Learning
Level : PhD
Subject/Domain: Computer Science / Artificial Intelligence / Financial Data Science
Includes: Scopus Samples
Description: Explore this Scopus-indexed research paper sample that compares deep learning models—1D CNN, BiLSTM, CNN-LSTM, and GARCH, for predicting Bitcoin and Ethereum arbitrage opportunities. Ideal for PhD scholars and researchers in Data Science, AI, and Financial Analytics. Includes full methodology, model evaluation, and statistical validation—perfect for reference and publication planning.
Availability: In Stock
