#Tech and Communication- IBM, AAPL, RTX, NFLX, ANET, SMCI
#Other:  GE, KO, BA
#Retail and Consumer Cyclical: LULU, GPS, SBUX, WMT, AMZN, BBY, COST
#ETFS: QQQ, XLE, PRGSX, VOOG, SPY

Our Group’s Biggest Winner by % Gain - Boeing (BA) +24.76%

BAPLOT

More information on Boeing will go here


Our Group’s Biggest Winner by $ Gained - NFLX

NFLXPLOT

UAL - Biggest Loser of Portfolio

library(plotly)

dfUAL <- data.frame(Date = index(UAL), coredata(UAL))
dfUAL <- tail(dfUAL, 60)  # Fix typo in tail() function

# Custom colors
i <- list(line = list(color = 'green'))
d <- list(line = list(color = 'red'))


(UALPLOT <- dfUAL %>%
  plot_ly(x = ~Date, type = "candlestick",
          open = ~UAL.Open, close = ~UAL.Close,
          high = ~UAL.High, low = ~UAL.Low,
          increasing = i, decreasing = d) |> 
  layout(title = list(text = "The Bills - UAL Price Behavior Over Project", font = list(color = "white")),
         xaxis = list(title = "Date", color = "white"),
         yaxis = list(title = "Price (USD)", color = "white"),
         margin = list(l = 50, r = 50, t = 50, b = 50),
         plot_bgcolor = "black",  # Set background color to black
         paper_bgcolor = "black",  # Set paper background color to black
         annotations = list(
           list(x = as.Date("2023-09-18"), y = max(dfUAL$UAL.High), xref = "x", yref = "y",
                text = "Start", showarrow = TRUE, arrowhead = 4, ax = 0, ay = -40, font = list(color = "white")),
           list(x = as.Date("2023-09-21"), y = max(dfUAL$UAL.High), xref = "x", yref = "y",
                text = "Buy", showarrow = TRUE, arrowhead = 4, ax = 0, ay = -40, font = list(color = "white")),
           list(x = as.Date("2023-11-14"), y = max(dfUAL$UAL.High), xref = "x", yref = "y",
                text = "Sell", showarrow = TRUE, arrowhead = 4, ax = 0, ay = -40, font = list(color = "white"))
         )
  ))

More Information on UAL will go here


ETF Performance - SPY (winner) and XLE (loser)

hw_grid(SPYPLOT, XLEPLOT, ncol = 2)