This dataset contains the price movements of the SOL cryptocurrency over the last four years. The data has been collected through the Yahoo Finance API. The dataset consists of the following columns:
DATE: Date and time the price information pertains to.
OPEN: Opening price on the specified date.
HIGH: Highest price reached on the specified date.
LOW: Lowest price reached on the specified date.
CLOSE: Closing price on the specified date.
VOLUME: Volume of transactions that occurred on the specified date.
This dataset can be utilized to analyze recent price movements of the SOL cryptocurrency, identify trends, and make future price predictions. It can be used for various purposes including financial analysis, training machine learning models, and understanding market trends.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
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 was 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
Not seeing a result you expected?
Learn how you can add new datasets to our index.
This dataset contains the price movements of the SOL cryptocurrency over the last four years. The data has been collected through the Yahoo Finance API. The dataset consists of the following columns:
DATE: Date and time the price information pertains to.
OPEN: Opening price on the specified date.
HIGH: Highest price reached on the specified date.
LOW: Lowest price reached on the specified date.
CLOSE: Closing price on the specified date.
VOLUME: Volume of transactions that occurred on the specified date.
This dataset can be utilized to analyze recent price movements of the SOL cryptocurrency, identify trends, and make future price predictions. It can be used for various purposes including financial analysis, training machine learning models, and understanding market trends.