Week 2: Apply 1

Import stock prices

stocks <- tq_get(c("VOOG", "NVDA"),
                 get = "stock.prices",
                 from = "2019-01-01",
                 to = "2022-01-01")
stocks

## # A tibble: 1,514 × 8
##    symbol date        open  high   low close volume adjusted
##    <chr>  <date>     <dbl> <dbl> <dbl> <dbl>  <dbl>    <dbl>
##  1 VOOG   2019-01-02  133.  135.  133.  135. 239200     129.
##  2 VOOG   2019-01-03  134.  134.  131.  131. 177400     126.
##  3 VOOG   2019-01-04  133.  137.  133.  136. 198400     130.
##  4 VOOG   2019-01-07  136.  138.  136.  137. 262000     131.
##  5 VOOG   2019-01-08  139.  139.  137.  139. 178600     133.
##  6 VOOG   2019-01-09  139.  140.  138.  139. 207000     133.
##  7 VOOG   2019-01-10  139.  140.  138.  140. 156200     134.
##  8 VOOG   2019-01-11  139.  140.  139.  140. 123400     134.
##  9 VOOG   2019-01-14  139.  139.  138.  139.  75500     133.
## 10 VOOG   2019-01-15  139.  141.  139.  141. 128500     135.
## # ℹ 1,504 more rows

Plot stock prices

stocks %>%
    
    ggplot(aes(x = date, y = adjusted, color = symbol)) +
    geom_line()