1 Import stock prices of your choice

2 Convert prices to returns by quarterly

## # A tibble: 200 × 3
##    asset date       returns
##    <chr> <date>       <dbl>
##  1 TSLA  2015-03-31 -0.150 
##  2 TSLA  2015-06-30  0.351 
##  3 TSLA  2015-09-30 -0.0769
##  4 TSLA  2015-12-31 -0.0344
##  5 TSLA  2016-03-31 -0.0436
##  6 TSLA  2016-06-30 -0.0792
##  7 TSLA  2016-09-30 -0.0396
##  8 TSLA  2016-12-30  0.0463
##  9 TSLA  2017-03-31  0.264 
## 10 TSLA  2017-06-30  0.262 
## # ℹ 190 more rows

3 Make plot

4 Interpret the plot

GOOGL - Expect 0-3.5% returns on average, with it rare low of -3%, and highs of over 4$

JNJ - Expect -2%-2% with no big outliers that are worth noting

NVDA - Expect 0-4% returns, but rare lows can drop to as low as -8% or as high as around 7.8%

ORCL - Expect returns of around -3% to 3.5%, and no real outliers to mention

TSLA - Expect returns anywhere from -4% to 4%, with the worst quarters showing -8% and the best showing near 8% ## 5 Change the global chunck options Hide the code, messages, and warnings