Review of deep learning models for crypto price prediction: implementation and evaluation
By Jingyang Wu, Xinyi Zhang, Fangyixuan Huang, Haochen Zhou, Rohtiash Chandra
Rating
959
Battle Count: 268
Relevance
8/10
Highly relevant for cryptocurrency trading strategies and risk management
Implementation Complexity
7/10
Requires implementation of multiple deep learning models and data processing pipelines
Reproducibility
4/5
The paper provides detailed methodology and hyperparameters, with code available on GitHub
About this paper
Methodology: Comparative analysis of deep learning models. Problem types: Time Series Forecasting, Regression.
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