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AlphaVantageClient

Package for loading data from Alpha Vantage into R objects.

Install / Use

npx skills add athompson1991/AlphaVantageClient

Installs into whichever agent you are using.

About this skill

Quality Score

0/100

Supported Platforms

Universal

README

AlphaVantageClient

Build Status codecov.io Dependency Status CRAN_Status_Badge

Introduction

Alpha Vantage is a free API which provides both real time and historical stock market data. It is easy to get an API key, intraday data is available, and many technical indicators are included in the service. This package is a simple wrapper client to get data from the API into easy-to-use R objects, namely xts.

Installation

This package is available on CRAN and can be installed with install.packages("AlphaVantageClient").

To install this Github version, use devtools::install_github("athompson1991/AlphaVantageClient").

Usage

Step One: Set API Key

First, set your API key (Note: this is a 100% fake API key. Get key here if you don't already have one):

setAPIKey("ABCD")

Step Two: Download data.

Here is how to get daily time series loaded directly into an xts object:

amzn <- fetchSeries(function_nm = "time_series_daily", symbol = "amzn", outputsize = "full", datatype = "json")

The function returns a list with two elements - the xts object that is interpreted from the response, and the response from the httr package request. Now the data can be plotted, analyzed, manipulated into returns, etc.:

head(amzn$xts_object)
plot(amzn$xts_object[ ,1])
amzn_returns <- diff(log(amzn$xts_object[ ,1]))

Similarly, the other Alpha Vantage data offerings are available using the same function:

amzn_sma <- fetchSeries(function_nm = "sma", symbol = "amzn", interval = "daily", time_period = 60, series_type = "close")
amzn_bbands <- fetchSeries(function_nm = "bbands", symbol = "amzn", interval = "daily", time_period = 60, series_type = "close")

Related Skills

View on GitHub
GitHub Stars8
CategoryFinance
Updated4y ago
Forks2

Languages

R

Security Score

60/100

Audited on Apr 29, 2022

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