FANG

A dataset containing the daily historical stock prices for the "FANG" tech stocks,
"FB", "AMZN", "NFLX", and "GOOG", spanning from the beginning of
2013 through the end of 2016.

datasets

Easy visualization, wrangling, and feature engineering of time series data for
forecasting and machine learning prediction. Consolidates and extends time series functionality
from packages including 'dplyr', 'stats', 'xts', 'forecast', 'slider', 'padr', 'recipes', and 'rsample'.

Matt Dancho

timetk

A Tool Kit for Working with Time Series

Davis Vaughan

FANG function

A "tibble" ("tidy" data frame) with 4,032 rows and 8 variables:<dl>
<dt>symbol</dt>
<dd>stock ticker symbol</dd><dt>date</dt>
<dd>trade date</dd><dt>open</dt>
<dd>stock price at the open of trading, in USD</dd><dt>high</dt>
<dd>stock price at the highest point during trading, in USD</dd><dt>low</dt>
<dd>stock price at the lowest point during trading, in USD</dd><dt>close</dt>
<dd>stock price at the close of trading, in USD</dd><dt>volume</dt>
<dd>number of shares traded</dd><dt>adjusted</dt>
<dd>stock price at the close of trading adjusted for stock splits, in USD</dd>
</dl>

Format

Stock prices for the "FANG" stocks. — FANG

A "tibble" ("tidy" data frame) with 4,032 rows and 8 variables:<dl>
<dt>symbol</dt>
<dd>stock ticker symbol</dd>

<dt>date</dt>
<dd>trade date</dd>

<dt>open</dt>
<dd>stock price at the open of trading, in USD</dd>

<dt>high</dt>
<dd>stock price at the highest point during trading, in USD</dd>

<dt>low</dt>
<dd>stock price at the lowest point during trading, in USD</dd>

<dt>close</dt>
<dd>stock price at the close of trading, in USD</dd>

<dt>volume</dt>
<dd>number of shares traded</dd>

<dt>adjusted</dt>
<dd>stock price at the close of trading adjusted for stock splits, in USD</dd>


</dl>

FANG: Stock prices for the "FANG" stocks.

Description

Usage

Arguments

Format