install.packages("quantmod")
## Installing package into '/cloud/lib/x86_64-pc-linux-gnu-library/4.3'
## (as 'lib' is unspecified)
library(quantmod)
## Loading required package: xts
## Loading required package: zoo
##
## Attaching package: 'zoo'
## The following objects are masked from 'package:base':
##
## as.Date, as.Date.numeric
## Loading required package: TTR
## Registered S3 method overwritten by 'quantmod':
## method from
## as.zoo.data.frame zoo
apple_df <- getSymbols('AAPL', src='yahoo', auto.assign=FALSE)
apple_df
## AAPL.Open AAPL.High AAPL.Low AAPL.Close AAPL.Volume
## 2007-01-03 3.081786 3.092143 2.925000 2.992857 1238319600
## 2007-01-04 3.001786 3.069643 2.993571 3.059286 847260400
## 2007-01-05 3.063214 3.078571 3.014286 3.037500 834741600
## 2007-01-08 3.070000 3.090357 3.045714 3.052500 797106800
## 2007-01-09 3.087500 3.320714 3.041071 3.306071 3349298400
## 2007-01-10 3.383929 3.492857 3.337500 3.464286 2952880000
## 2007-01-11 3.426429 3.456429 3.396429 3.421429 1440252800
## 2007-01-12 3.378214 3.395000 3.329643 3.379286 1312690400
## 2007-01-16 3.417143 3.473214 3.408929 3.467857 1244076400
## 2007-01-17 3.484286 3.485714 3.386429 3.391071 1646260000
## ...
## 2023-07-28 194.669998 196.630005 194.139999 195.830002 48291400
## 2023-07-31 196.059998 196.490005 195.259995 196.449997 38824100
## 2023-08-01 196.240005 196.729996 195.279999 195.610001 35175100
## 2023-08-02 195.039993 195.179993 191.850006 192.580002 50389300
## 2023-08-03 191.570007 192.369995 190.690002 191.169998 61235200
## 2023-08-04 185.520004 187.380005 181.919998 181.990005 115799700
## 2023-08-07 182.130005 183.130005 177.350006 178.850006 97576100
## 2023-08-08 179.690002 180.270004 177.580002 179.800003 67823000
## 2023-08-09 180.869995 180.929993 177.009995 178.190002 60378500
## 2023-08-10 179.479996 180.750000 177.600006 177.970001 54628800
## AAPL.Adjusted
## 2007-01-03 2.543757
## 2007-01-04 2.600217
## 2007-01-05 2.581701
## 2007-01-08 2.594450
## 2007-01-09 2.809972
## 2007-01-10 2.944445
## 2007-01-11 2.908019
## 2007-01-12 2.872200
## 2007-01-16 2.947479
## 2007-01-17 2.882216
## ...
## 2023-07-28 195.830002
## 2023-07-31 196.449997
## 2023-08-01 195.610001
## 2023-08-02 192.580002
## 2023-08-03 191.169998
## 2023-08-04 181.990005
## 2023-08-07 178.850006
## 2023-08-08 179.800003
## 2023-08-09 178.190002
## 2023-08-10 177.970001
chartSeries(apple_df, name="AAPL", subset="last 6 months", theme=chartTheme("white"))
La tendencia de esta grafica es muy volatil ya que sus velitas suben y bajan
apple_df <- getSymbols('TSLA', src='yahoo', auto.assign=FALSE)
apple_df
## TSLA.Open TSLA.High TSLA.Low TSLA.Close TSLA.Volume
## 2010-06-29 1.266667 1.666667 1.169333 1.592667 281494500
## 2010-06-30 1.719333 2.028000 1.553333 1.588667 257806500
## 2010-07-01 1.666667 1.728000 1.351333 1.464000 123282000
## 2010-07-02 1.533333 1.540000 1.247333 1.280000 77097000
## 2010-07-06 1.333333 1.333333 1.055333 1.074000 103003500
## 2010-07-07 1.093333 1.108667 0.998667 1.053333 103825500
## 2010-07-08 1.076000 1.168000 1.038000 1.164000 115671000
## 2010-07-09 1.172000 1.193333 1.103333 1.160000 60759000
## 2010-07-12 1.196667 1.204667 1.133333 1.136667 33037500
## 2010-07-13 1.159333 1.242667 1.126667 1.209333 40201500
## ...
## 2023-07-28 259.859985 267.250000 258.230011 266.440002 111446000
## 2023-07-31 267.480011 269.079987 263.779999 267.429993 84582200
## 2023-08-01 266.260010 266.470001 260.250000 261.070007 83166000
## 2023-08-02 255.570007 259.519989 250.490005 254.110001 101752900
## 2023-08-03 252.039993 260.489990 252.000000 259.320007 97569100
## 2023-08-04 260.970001 264.769989 253.110001 253.860001 99242600
## 2023-08-07 251.449997 253.649994 242.759995 251.449997 111097900
## 2023-08-08 247.449997 250.919998 245.009995 249.699997 96642200
## 2023-08-09 250.869995 251.100006 241.899994 242.190002 101596300
## 2023-08-10 245.399994 251.800003 243.000000 245.339996 109336100
## TSLA.Adjusted
## 2010-06-29 1.592667
## 2010-06-30 1.588667
## 2010-07-01 1.464000
## 2010-07-02 1.280000
## 2010-07-06 1.074000
## 2010-07-07 1.053333
## 2010-07-08 1.164000
## 2010-07-09 1.160000
## 2010-07-12 1.136667
## 2010-07-13 1.209333
## ...
## 2023-07-28 266.440002
## 2023-07-31 267.429993
## 2023-08-01 261.070007
## 2023-08-02 254.110001
## 2023-08-03 259.320007
## 2023-08-04 253.860001
## 2023-08-07 251.449997
## 2023-08-08 249.699997
## 2023-08-09 242.190002
## 2023-08-10 245.339996
chartSeries(apple_df, name="TSLA", subset="last 6 months", theme=chartTheme("white"))
La tendecia de esta grafica esta llegando a su punto maximo que en algun momento su tendencia puede bajar mas