To Analyze the voltality of Stock.
Using Technical Indicators, analyze the stock prices of Facebook, Twitter and Pinterest
To know more about Facebook, visit https://en.wikipedia.org/wiki/Facebook
To know more about Twitter, visit https://en.wikipedia.org/wiki/Twitter
To know more about Pinterest, visit https://en.wikipedia.org/wiki/Pinterest
library(quantmod)
library(TTR)
library(PerformanceAnalytics)
getSymbols("FB",src="yahoo", from="2018-07-01",to="2019-07-05")
## [1] "FB"
getSymbols("TWTR",src="yahoo", from="2018-07-01",to="2019-07-05")
## [1] "TWTR"
getSymbols("PINS",src="yahoo", from="2018-07-01",to="2019-07-05")
## [1] "PINS"
head(FB,n=6)
## FB.Open FB.High FB.Low FB.Close FB.Volume FB.Adjusted
## 2018-07-02 193.37 197.45 192.22 197.36 13961600 197.36
## 2018-07-03 194.55 195.40 192.52 192.73 13489500 192.73
## 2018-07-05 194.74 198.65 194.03 198.45 19684200 198.45
## 2018-07-06 198.45 203.64 197.70 203.23 19740100 203.23
## 2018-07-09 204.93 205.80 202.12 204.74 18149400 204.74
## 2018-07-10 204.50 204.91 202.26 203.54 13190100 203.54
head(TWTR,n=6)
## TWTR.Open TWTR.High TWTR.Low TWTR.Close TWTR.Volume
## 2018-07-02 43.06 45.00 42.75 44.98 16703600
## 2018-07-03 45.36 45.48 43.80 43.89 14237500
## 2018-07-05 44.07 45.11 43.55 45.06 16172000
## 2018-07-06 44.91 46.75 44.61 46.65 23740700
## 2018-07-09 46.74 46.90 42.08 44.14 107582400
## 2018-07-10 44.20 45.26 43.63 43.75 38467400
## TWTR.Adjusted
## 2018-07-02 44.98
## 2018-07-03 43.89
## 2018-07-05 45.06
## 2018-07-06 46.65
## 2018-07-09 44.14
## 2018-07-10 43.75
head(PINS,n=6)
## PINS.Open PINS.High PINS.Low PINS.Close PINS.Volume
## 2019-04-18 23.75 25.18 23.050 24.40 87109500
## 2019-04-22 24.62 25.68 23.570 24.99 19746800
## 2019-04-23 25.38 27.75 25.230 25.85 19245400
## 2019-04-24 26.50 27.03 25.933 26.80 9477200
## 2019-04-25 27.45 29.40 26.670 28.80 16648300
## 2019-04-26 29.84 30.68 28.370 29.85 16825600
## PINS.Adjusted
## 2019-04-18 24.40
## 2019-04-22 24.99
## 2019-04-23 25.85
## 2019-04-24 26.80
## 2019-04-25 28.80
## 2019-04-26 29.85
Let’s summarize the data
summary(FB)
## Index FB.Open FB.High FB.Low
## Min. :2018-07-02 Min. :123.1 Min. :129.7 Min. :123.0
## 1st Qu.:2018-10-01 1st Qu.:151.5 1st Qu.:154.1 1st Qu.:149.0
## Median :2019-01-02 Median :167.2 Median :168.9 Median :164.8
## Mean :2018-12-31 Mean :167.2 Mean :169.4 Mean :165.3
## 3rd Qu.:2019-04-03 3rd Qu.:180.4 3rd Qu.:182.0 3rd Qu.:178.4
## Max. :2019-07-03 Max. :215.7 Max. :218.6 Max. :214.3
## FB.Close FB.Volume FB.Adjusted
## Min. :124.1 Min. : 7297400 Min. :124.1
## 1st Qu.:151.4 1st Qu.: 14843300 1st Qu.:151.4
## Median :166.9 Median : 19641300 Median :166.9
## Mean :167.3 Mean : 22696363 Mean :167.3
## 3rd Qu.:180.7 3rd Qu.: 25469700 3rd Qu.:180.7
## Max. :217.5 Max. :169803700 Max. :217.5
summary(TWTR)
## Index TWTR.Open TWTR.High TWTR.Low
## Min. :2018-07-02 Min. :26.35 Min. :27.27 Min. :26.19
## 1st Qu.:2018-10-01 1st Qu.:31.15 1st Qu.:31.55 1st Qu.:30.60
## Median :2019-01-02 Median :33.00 Median :33.69 Median :32.45
## Mean :2018-12-31 Mean :33.85 Mean :34.46 Mean :33.24
## 3rd Qu.:2019-04-03 3rd Qu.:35.98 3rd Qu.:36.49 3rd Qu.:35.05
## Max. :2019-07-03 Max. :46.74 Max. :46.90 Max. :44.61
## TWTR.Close TWTR.Volume TWTR.Adjusted
## Min. :26.45 Min. : 5372600 Min. :26.45
## 1st Qu.:31.06 1st Qu.: 13548200 1st Qu.:31.06
## Median :32.98 Median : 17714400 Median :32.98
## Mean :33.83 Mean : 21297572 Mean :33.83
## 3rd Qu.:35.89 3rd Qu.: 23994800 3rd Qu.:35.89
## Max. :46.65 Max. :122752800 Max. :46.65
summary(PINS)
## Index PINS.Open PINS.High PINS.Low
## Min. :2019-04-18 Min. :23.75 Min. :24.33 Min. :23.05
## 1st Qu.:2019-05-08 1st Qu.:25.65 1st Qu.:26.55 1st Qu.:25.30
## Median :2019-05-28 Median :27.29 Median :27.96 Median :26.44
## Mean :2019-05-26 Mean :27.31 Mean :28.13 Mean :26.47
## 3rd Qu.:2019-06-14 3rd Qu.:28.84 3rd Qu.:29.26 3rd Qu.:27.56
## Max. :2019-07-03 Max. :35.20 Max. :35.29 Max. :30.53
## PINS.Close PINS.Volume PINS.Adjusted
## Min. :23.80 Min. : 1629500 Min. :23.80
## 1st Qu.:25.81 1st Qu.: 3242900 1st Qu.:25.81
## Median :27.05 Median : 5709000 Median :27.05
## Mean :27.30 Mean : 9424802 Mean :27.30
## 3rd Qu.:28.69 3rd Qu.: 9477200 3rd Qu.:28.69
## Max. :34.26 Max. :87109500 Max. :34.26
plot(FB)
This plot shows the line chart of Facebook. There was a spike in Aug’2018. Gradually, it maintains it momentum and stabilize.
plot(TWTR)
Twitter line chart shows huge potential as in every other quarter, stock price increases for a period.
plot(PINS)
Pinterest line chart shows gradual decreases in stock price with time.
lineChart(FB,theme = chartTheme("black"))
barChart(FB,theme = chartTheme("black"))
candleChart(FB,theme = chartTheme("black"))
chartSeries(FB,theme = "black")
Above charts are line chart, bar chart, candle chart and chart series respectively. A bar chart shows the collection of price bars over time. A candle chart signifies the price ovement for each day.
lineChart(TWTR,theme = chartTheme("black"))
barChart(TWTR,theme = chartTheme("black"))
candleChart(TWTR,theme = chartTheme("black"))
chartSeries(TWTR,theme = "black")
lineChart(PINS,theme = chartTheme("black"))
barChart(PINS,theme = chartTheme("black"))
candleChart(PINS,theme = chartTheme("black"))
chartSeries(PINS,theme = "black")
#Stock Technical Indicators
Moving Averages, Simple Moving Average(5,21) days , Exponential Moving Average
barChart(FB,theme=chartTheme("white"))
addSMA(n=5,col="darkblue")
addSMA(n=21,col="darkred")
legend("bottomright",col=c("darkblue","darkred"),lty=1,legend = c("SMA(5)","SMA(21)"),cex=0.6)
SMA defines the price trends w.r.t 5 days average and 21 days average. There seems facebook price movements close to 5 days trends.
barChart(TWTR,theme=chartTheme("white"))
addSMA(n=5,col="darkblue")
addSMA(n=21,col="darkred")
legend("bottomright",col=c("darkblue","darkred"),lty=1,legend = c("SMA(5)","SMA(21)"),cex=0.6)
There seems twitter price movements are also close to 5 days trends.
barChart(PINS,theme=chartTheme("white"))
addSMA(n=5,col="darkblue")
addSMA(n=21,col="darkred")
legend("bottomright",col=c("darkblue","darkred"),lty=1,legend = c("SMA(5)","SMA(21)"),cex=0.6)
Here, also Pinterest trend similar to other two social media companies. Quiet close to 5 days price movements.
barChart(FB,theme=chartTheme("white"))
addEMA(n=5,col="darkblue")
addEMA(n=21,col="darkred")
legend("bottomright",col=c("darkblue","darkred"),lty=1,legend = c("EMA(5)","EMA(21)"),cex=0.6)
Exponential MA is much better in representing trend then Simple MA. When it comes to facebook trends.
barChart(TWTR,theme=chartTheme("white"))
addEMA(n=5,col="darkblue")
addEMA(n=21,col="darkred")
legend("bottomright",col=c("darkblue","darkred"),lty=1,legend = c("EMA(5)","EMA(21)"),cex=0.6)
It seems Twitter price movement clearly explains by SMA instead of EMA. As, EMA shows a drift and not clear movements.
barChart(PINS,theme=chartTheme("white"))
addEMA(n=5,col="darkblue")
addEMA(n=21,col="darkred")
legend("bottomright",col=c("darkblue","darkred"),lty=1,legend = c("EMA(5)","EMA(21)"),cex=0.6)
Here, EMA shows price movements in much better way than SMA. [EMA 5 days]
barChart(FB, theme=chartTheme("white"))
addBBands(n=20,sd=2)
barChart(TWTR, theme=chartTheme("white"))
addBBands(n=20,sd=2)
barChart(PINS, theme=chartTheme("white"))
addBBands(n=20,sd=2)
Bollinger Bands defines statiscal price movements i.e within 20 days and 2 standard deviation.
On comparing Facebook, Twitter and Pinterest Charts then facebook stock price will gradually go down which shows the positive time for buying stocks.While, twitter and Pinterest shows potential in rise in stock price. Facebook Price Range between 190- 150$ Twitter Price Range between 35-42$ Pinterest Price Range between 23-29$
barChart(FB, theme=chartTheme("white"))
addSAR(accel = c(0.02,0.2))
barChart(TWTR, theme=chartTheme("white"))
addSAR(accel = c(0.02,0.2))
barChart(PINS, theme=chartTheme("white"))
addSAR(accel = c(0.02,0.2))
The reverse stock price trends in facebook shows upward trend. Twitter shows it downside. While that of Pinterest in much of stability.
barChart(FB, theme=chartTheme("white"))
addADX(n=14)
legend("right",col=c("blue","green","red"),lty=1,legend = c("ADX(14)","DI(14)+","DI(14)-"),cex=0.6)
barChart(TWTR, theme=chartTheme("white"))
addADX(n=14)
legend("right",col=c("blue","green","red"),lty=1,legend = c("ADX(14)","DI(14)+","DI(14)-"),cex=0.6)
barChart(PINS, theme=chartTheme("white"))
addADX(n=14)
legend("right",col=c("blue","green","red"),lty=1,legend = c("ADX(14)","DI(14)+","DI(14)-"),cex=0.6)
This index shows the strength and movement of trend. Facebook currently shows its upward trend but it at its peak. There is a high changes to its movement. Twitter shows downward trend. This will continue for while or as per past history, it will maintain this momentum till July’2019 end. Pinterest maintain its momentum. And shows stability but this will not last for long. After 15 days, there will be change in movement.
barChart(FB, theme=chartTheme("white"))
addCCI(n=20,c=0.015)
barChart(TWTR, theme=chartTheme("white"))
addCCI(n=20,c=0.015)
barChart(PINS, theme=chartTheme("white"))
addCCI(n=20,c=0.015)
This index signifies the stock price variation. Here, Facebook shows in past 1 year, overall performance is low. After Feb’2019, it took the momentum but that didn’t last more than 3 months. Again, it starts degrading its performance. Twitter showed positive momentum in past 1 year. Now, its playing safely since 2 months. Pinterest 2 quarters data donot define much about it potential. But definitely showing positive result so far. But, now it will gradually decreases with time.
barChart(FB, theme=chartTheme("white"))
addMACD(fast = 12, slow = 26,signal = 9)
barChart(TWTR, theme=chartTheme("white"))
addMACD(fast = 12, slow = 26,signal = 9)
barChart(PINS, theme=chartTheme("white"))
addMACD(fast = 12, slow = 26,signal = 9)
This index defines stock price momentum and trends. Facebook trends shows positive momentum as per past history. Twitter shows downward trend strongly. While that of Pinterest also shows down trend.
barChart(FB, theme=chartTheme("white"))
addROC(n=21)
legend("right",col="red",lty=1,legend = "ROC(21)",cex=0.6)
barChart(TWTR, theme=chartTheme("white"))
addROC(n=21)
legend("right",col="red",lty=1,legend = "ROC(21)",cex=0.6)
barChart(PINS, theme=chartTheme("white"))
addROC(n=21)
legend("right",col="red",lty=1,legend = "ROC(21)",cex=0.6)
This index reflects the speed of change in price movement. Facebook shows change in price speed positive in terms of up trend and that of negative trend as well. This means change is little slow. Twitter shows down trend much fast then up trend. Pinterest shows uptrend in much fatser speed then downtrend.
barChart(FB, theme=chartTheme("white"))
addRSI(n=14)
barChart(TWTR, theme=chartTheme("white"))
addRSI(n=14)
barChart(PINS, theme=chartTheme("white"))
addRSI(n=14)
This index shows trend strength or waekness. Facebook trend is strong to approx. 70% Twitter trend strength is approx 50%. This will not last for long. Pinterest trend strength is approx 54%.
barChart(FB, theme=chartTheme("white"))
addSMI(n=13,fast = 2,slow = 25,signal = 9)
barChart(TWTR, theme=chartTheme("white"))
addSMI(n=13,fast = 2,slow = 25,signal = 9)
barChart(PINS, theme=chartTheme("white"))
addSMI(n=13,fast = 2,slow = 25,signal = 9)
This index compares with past 13 days momentum. Facebook trend shows present trend depends on almost 40% of momentum over past history. Twitter trend shows present trend does not deflect the past history. Pinterest trends reflects the same.
barChart(FB, theme=chartTheme("white"))
addWPR(n=14)
barChart(TWTR, theme=chartTheme("white"))
addWPR(n=14)
barChart(PINS, theme=chartTheme("white"))
addWPR(n=14)
This index compares the trend to its maximum high in last 14 days momentum. Facebook trends shows hardly 8% of trend w.r.t the max high trend. Twitter shows approx 46% of trend w.r.t to its high trend. Pinterest shows approx 59% of trend w.r.t to its high trend.
** These above are the technical indicators used to analyze stocks and its volatality.
Facebook performance in stock market will leverage in Q4’2019. Twitter depends on some other factors, stock market performance will not last long. But will be at steady pace. Pinterest stock market shows high potential in upcoming quarter for investment based on past history.