Study analyzes four major cryptocurrencies (Bitcoin, Ethereum, Ripple, and Litecoin) using historical data from January 1, 2018 to December 31, 2020.
Creators
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1.
National Kaohsiung University of Science and Technology
Description
This dataset supports the research article titled "A Hybrid SVR-Based Framework for Cryptocurrency Price Forecasting and Strategy Backtesting". It includes historical price data, technical indicator features, and visualization-ready data used in the study for four major cryptocurrencies: Bitcoin (BTC), Ethereum (ETH), Ripple (XRP), and Litecoin (LTC).
The dataset consists of:
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Raw historical price data (CSV/Excel)
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Technical indicators used as input features for SVR modeling (e.g., MA, RSI, KD, MACD, Bollinger Bands, etc.)
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Data behind charts in the manuscript (e.g., predicted vs. actual prices, strategy-specific outputs)
All data are provided in CSV format with accompanying documentation for reproducibility. This repository is meant to ensure transparency, facilitate replication, and encourage future research based on SVR and crypto trading strategies.
Files
bitcoin_actual_vs_predicted.csv
Files
(1.3 MB)
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