GOOG will ? in price during the next trading period.
The chart below is made with the quantmod R package, a
widely used package for collecting and visualizing financial data in R.
You can learn more about quantmod at the website www.quantmod.com.
This forecast was predicted with the recency algorithm, a simple—probably useless—method for determining stock prices. The recency algorithm predicts that the next price movement, \(M_{j}\), will be in the same direction as the most recent price movement. \(M_{i}\).
\[M_{i}= Close_{i} - Open_{i}\]
\[ M_{j}= \begin{cases} > 0, & \text{if } M_{i} > 0\\ \leq 0, & \text{if } M_{i}\leq 0 \end{cases} \] ## Raw Data
The table below displays the daily price data for the stock. In the
next section, we will learn how to make a concise, interactive table
with the DT package, a new package for making searchable
data tables. You can learn more about the DT package at the
website rstudio.github.io/DT/.