Apart from loading data from external and local sources, Quantmod is also suitable for making beautiful charts. There are three types of charts: lines, bars and candlestick. We will learn how to create these charts to show historical data for SPY index. In Quantmod, the function to create charts is called chartSeries. With the type parameter we can change the chart type.
1# Use the chartSeries() function to create charts. With the type parameter we can change the chart type.23chartSeries(SPY,type="line")4
We can also subset the graph for a certain period using the subset parameter. The following command produces a candlestick chart only for the 2019 data.
The Quantmod package provides built in technical indicators that can be included in the charts. We will now see how to calculate technical indicators with Quantmod for the SPY index and finally, create an R dataframe with the close prices and the technical indicators as columns.
1#### Calculates Indicators: EMA,RSI, ADX, STOCHASTIC, ATR23EMA <-round(EMA(Cl(SPY),n=14),3)4RSI <-round(RSI(Cl(SPY),n=14),3)5ADX <-round(ADX(HLC(SPY),n=14),3)6ATR <-round(ATR(HLC(SPY),n=14),3)7STOCH <-round(stoch(HLC(SPY)),3)*10089# At this point it will be a good idea to explore these objects and view the data contained.10# You can use commands such as dim(), head(), and tail() to do this.1112# Combine the required indicators into a single data table.1314spyIndicators <- data.frame(cbind(Cl(SPY),RSI,ADX$ADX,ATR$atr,STOCH$fastK,STOCH$fastD))1516# Add custom column names for each column1718colnames(spyIndicators)<- c('SPY','RSI','ADX','ATR','KLine','DLine')1920# View last 15 rows of the data to get a feel of the data21tail(spyIndicators,15)# shows the last 15 rows of the data2223 SPY RSI ADX ATR KLine DLine
242019-05-15285.0644.15126.2213.61734.221.1252019-05-16287.7049.85824.5893.65551.736.3262019-05-17285.8446.27022.8503.64239.341.7272019-05-20283.9542.89321.8633.58526.839.3282019-05-21286.5148.38820.5883.54245.737.3292019-05-22285.6346.72419.5583.40239.637.3302019-05-23282.1440.73919.9173.52116.533.9312019-05-24282.7842.20119.8573.42026.227.4322019-05-28280.1538.04720.2983.4632.315.0332019-05-29278.2735.36721.4443.46112.513.7342019-05-30279.0337.29022.2253.37318.611.1352019-05-31275.2732.18723.4603.4030.210.4362019-06-03274.5731.32824.9813.4079.29.3372019-06-04280.5344.83424.8213.60046.218.5382019-06-05282.9649.22023.9373.53461.238.939
Add Indicators to Charts
In order to add technical indicators in a chart, Quantmod provides the add{IndicatorName)() function. We will use this function for plotting the RSI and the MACD of SPY prices. Both indicators are plotted with the default parameters which are specified below:
1### Charting with Technical Indicators 23chartSeries(SPY,type="line")4addRSI(n=14,maType="EMA")5addMACD(fast=12,slow=26,signal=9,type='EMA',histogram = TRUE)6
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