PREDICTION OF CRYPTOCURRENCY PRICES USING LSTM, SVM AND POLYNOMIAL REGRESSION
By Novan Fauzi Al Giffary, Feri Sulianta
Rating
911
Battle Count: 160
Relevance
7/10
Directly applicable to cryptocurrency trading, but limited to a single asset and basic models
Implementation Complexity
5/10
Uses well-known algorithms, but requires understanding of multiple machine learning techniques
Reproducibility
3/5
The paper provides details on the dataset and algorithms used, but lacks specific implementation details
About this paper
Methodology: Comparative Analysis. Problem types: Time Series Forecasting, Regression.
The interactive Everscope explorer (charts, battles, favorites) loads below.