Integrated Cryptocurrency Historical Data for a Predictive Data-Driven Decision-Making Algorithm

Cryptocurrency historical datasets from January 2012 (if available) to October 2021 were obtained and integrated from various sources and Application Programming Interfaces (APIs) including Yahoo Finance, Cryptodownload, CoinMarketCap, various Kaggle datasets, and multiple APIs. While these datasets used various formats of time (e.g., minutes, hours, days), in order to integrate the datasets days format was used for in this research study. The integrated cryptocurrency historical datasets for 80 cryptocurrencies including but not limited to Bitcoin (BTC), Ethereum (ETH), Binance Coin (BNB), Cardano (ADA), Tether (USDT), Ripple (XRP), Solana (SOL), Polkadot (DOT), USD Coin (USDC), Dogecoin (DOGE), Tron (TRX), Bitcoin Cash (BCH), Litecoin (LTC), EOS (EOS), Cosmos (ATOM), Stellar (XLM), Wrapped Bitcoin (WBTC), Uniswap (UNI), Terra (LUNA), SHIBA INU (SHIB), and 60 more cryptocurrencies were uploaded in this online Mendeley data repository. Although the primary attribute of including the mentioned cryptocurrencies was the Market Capitalization, a subject matter expert i.e., a professional trader has also guided the initial selection of the cryptocurrencies by analyzing various indicators such as Relative Strength Index (RSI), Moving Average Convergence/Divergence (MACD), MYC Signals, Bollinger Bands, Fibonacci Retracement, Stochastic Oscillator and Ichimoku Cloud. The primary features of this dataset that were used as the decision-making criteria of the CLUS-MCDA II approach are Timestamps, Open, High, Low, Closed, Volume (Currency), % Change (7 days and 24 hours), Market Cap and Weighted Price values. The available excel and CSV files in this data set are just part of the integrated data and other databases, datasets and API References that were used in this study are as follows: [1] https://finance.yahoo.com/ [2] https://coinmarketcap.com/historical/ [3] https://cryptodatadownload.com/ [4] https://kaggle.com/philmohun/cryptocurrency-financial-data [5] https://kaggle.com/deepshah16/meme-cryptocurrency-historical-data [6] https://kaggle.com/sudalairajkumar/cryptocurrencypricehistory [7] https://min-api.cryptocompare.com/data/price?fsym=BTC&tsyms=USD [8] https://min-api.cryptocompare.com/ [9] https://p.nomics.com/cryptocurrency-bitcoin-api [10] https://www.coinapi.io/ [11] https://www.coingecko.com/en/api [12] https://cryptowat.ch/ [13] https://www.alphavantage.co/ This dataset is part of the CLUS-MCDA (Cluster analysis for improving Multiple Criteria Decision Analysis) and CLUS-MCDAII Project: https://aimaghsoodi.github.io/CLUSMCDA-R-Package/ https://github.com/Aimaghsoodi/CLUS-MCDA-II https://github.com/azadkavian/CLUS-MCDA UPDATE: This version also have the datapoint predictions using the Prophet Forecasting Model.本研究获取并整合了2012年1月（如有可用数据）至2021年10月的加密货币历史数据集，数据来源涵盖雅虎财经（Yahoo Finance）、Cryptodownload、CoinMarketCap、多个Kaggle数据集及各类应用程序编程接口（Application Programming Interface，API）。尽管上述数据集采用了多种时间粒度（如分钟、小时、日），为实现数据整合，本研究统一采用日度时间格式。本研究整合的加密货币历史数据集涵盖共计80种加密货币，包括但不限于比特币（Bitcoin, BTC）、以太坊（Ethereum, ETH）、币安币（Binance Coin, BNB）、卡尔达诺（Cardano, ADA）、泰达币（Tether, USDT）、瑞波币（Ripple, XRP）、索拉纳（Solana, SOL）、波卡（Polkadot, DOT）、美元币（USD Coin, USDC）、狗狗币（Dogecoin, DOGE）、波场（Tron, TRX）、比特币现金（Bitcoin Cash, BCH）、莱特币（Litecoin, LTC）、EOS（EOS）、Cosmos（ATOM）、恒星币（Stellar, XLM）、包装比特币（Wrapped Bitcoin, WBTC）、Uniswap（UNI）、Terra（LUNA）、柴犬币（SHIBA INU, SHIB）等，另有60种未完全列举的加密货币，该数据集已上传至在线Mendeley数据仓储平台。 本数据集筛选上述加密货币的核心依据为市值，同时邀请领域专家（即职业交易员）通过相对强弱指数（Relative Strength Index, RSI）、指数平滑异同移动平均线（Moving Average Convergence/Divergence, MACD）、MYC信号、布林带（Bollinger Bands）、斐波那契回撤（Fibonacci Retracement）、随机震荡指标（Stochastic Oscillator）及一目均衡表（Ichimoku Cloud）等多项指标，对加密货币的初始筛选提供指导。 本数据集的核心特征被用作CLUS-MCDA II方法的决策依据，具体包括时间戳、开盘价、最高价、最低价、收盘价、成交量（币种计价）、7日与24小时涨跌幅、市值及加权价格。本数据集提供的Excel与CSV文件仅为整合数据的一部分，本研究中使用的其他数据库、数据集及API参考来源如下： [1] https://finance.yahoo.com/ [2] https://coinmarketcap.com/historical/ [3] https://cryptodatadownload.com/ [4] https://kaggle.com/philmohun/cryptocurrency-financial-data [5] https://kaggle.com/deepshah16/meme-cryptocurrency-historical-data [6] https://kaggle.com/sudalairajkumar/cryptocurrencypricehistory [7] https://min-api.cryptocompare.com/data/price?fsym=BTC&tsyms=USD [8] https://min-api.cryptocompare.com/ [9] https://p.nomics.com/cryptocurrency-bitcoin-api [10] https://www.coinapi.io/ [11] https://www.coingecko.com/en/api [12] https://cryptowat.ch/ [13] https://www.alphavantage.co/ 本数据集隶属于CLUS-MCDA（改进多准则决策分析的聚类分析）与CLUS-MCDA II项目，相关链接为： https://aimaghsoodi.github.io/CLUSMCDA-R-Package/ https://github.com/Aimaghsoodi/CLUS-MCDA-II https://github.com/azadkavian/CLUS-MCDA 更新说明：本版本新增了基于Prophet预测模型生成的数据点预测结果。