Publications by serkor1
{cryptoQuotes}: Open access to cryptocurrency market data in R (Update)
The {cryptoQuotes}-package have been updated to version 1.3.0. With this update comes many new features, and breaking changes. Prior to version 1.3.0 the package were using camelCase (See for example this post), with no particular style guide. The package now uses the tidyverse style guide which, in return, have deprecated a few core functions. ...
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Cryptocurrency Market Data in R
Table of contents 1 Cryptocurrency market data 1.1 OHLC-V 1.2 Sentiment Data 2 Documentation and Installation 2.1 Stable version 2.2 Development version Cryptocurrency market data in R with {cryptoQuotes} Open access to cryptocurrency market data in R ## load dependencies library(cryptoQuotes) {cryptoQuotes} provides open access to cryptocur...
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Cryptocurrency Market Data in R
Table of contents 1 Cryptocurrency market data 1.1 OHLC-V 1.2 Sentiment Data 2 Documentation and Installation 2.1 Stable version 2.2 Development version Cryptocurrency market data in R Open access to cryptocurrency market data in R ## load dependencies library(cryptoQuotes) cryptoQuotes provides open access to cryptocurrency market data with...
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Cryptocurrency in R
Introduction Getting cryptocurrency market data in R is now a simple process with the introduction of the cryptoQuotes-package. Its a high-level API-client that provides access to historical cryptocurrency market data, and sentiment indicators. Getting Bitcoin market data in R Below is an example of getting hourly Bitcoin (BTC) prices in R, using ...
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Gauging Cryptocurrency Market Sentiment in R
Navigating the volatile world of cryptocurrencies requires a keen understanding of market sentiment. This blog post explores some of the essential tools and techniques for analyzing the mood of the crypto market, using the cryptoQuotes-package. The Cryptocurrency Fear and Greed Index in R The Fear and Greed Index is a market sentiment tool that mea...
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Cryptocurrency Market Data in R
Getting cryptocurrency OHLCV data in R without having to depend on low-level coding using, for example, curl or httr2, have not been easy for the R community. There is now a high-level API Client available on CRAN which fetches all the market data without having to rely on web-scrapers, API keys or low-level coding. Bitcoin Prices in R (Example) ...
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