1 Data Prep

2 Super Quadrant Stocks

2.1 Full Super Quadrant Stocks

2.2 Super Quadrant Stocks : Consumer and Interest Rate Sector

2.4 New Outperform Trend

2.5 Selected Super Quadrant Stocks

## [1] "Barang Konsumen Non-Primer" "Barang Konsumen Primer"    
## [3] "Infrastruktur"              "Keuangan"                  
## [5] "Barang Baku"                "Energi"

2.6 Super Quadrant Stocks : No Facet

2.6.1 Super Quadrant Stocks : Consumer and Interest Rate Sector

2.7 Super Quadrant Stocks : Champion Quadrant & Uptrend

2.8 Super Quadrant Stocks : Outperform Trend (Spring)

2.9 Super Quadrant Stocks : Outperform Momentum (Sunrise)

2.10 Super Quadrant Stocks : Outperform Momentum (Sunset)

2.11 Super Quadrant Stocks : Underperform Trend (Autumn)

2.12 Super Quadrant Stocks : Champion Quadrant (Short Term Return Graphic)

2.13 Super Quadrant Stocks : Champion Quadrant (Medium Term Return Graphic)

2.14 Cluster Stocks in Champion Quadrant and Uptrend

2.14.1 Table

2.14.2 Table (cluster)

2.14.2.1 Super Quadrant Stocks : Champion Quadrant with Cluster (Short Term Return Graphic)

2.14.2.2 Super Quadrant Stocks : Champion Quadrant with Cluster (Medium Term Return Graphic)

3 General Cluster

3.1 1D, 5D, 20D & YTD Return

Table dan Grafik ini menggolongkan saham pada return 1, 5, 20 hari dan YTD (dari sejak awal tahun 2020).

3.1.1 Graph YTD - 5D

3.1.2 Graph YTD - 60D

3.1.3 Graph 60D - 20D

3.1.4 Graph 20D - 5D

3.1.5 Graph 1D - 5D

3.1.6 Table

4 Ch Turnover

5 SuperQuadrant Yesterday

5.1 Super Quadrant Stocks : Consumer and Interest Rate Sector

5.3 Super Quadrant Stocks : Champion Quadrant & Uptrend

5.4 2 Days Comparison Champion Quadrant and Uptrend

5.5 2 Days Comparison Spring

5.6 2 Days Comparison Autumn

5.7 2 Days Comparison Sunrise

5.8 2 Days Comparison Sunset

5.9 Comparing Yesterdays

5.10 Yesterdays

6 Timetk

stock <- "TLKM"
stocks <- c("TLKM", "ISAT", "EXCL")

6.1 Plot Time Series

TPT.IDX %>% 
  filter(Ticker %in% stocks) %>%
  arrange(DateTime) %>% 
  filter_by_time(.start_date = "2022-10-03") %>%
  group_by(Ticker) %>% 
  plot_time_series(DateTime, Close, Ticker, .smooth = F)
## .date_var is missing. Using: DateTime

6.2 Seasonality

TPT.IDX %>% 
  # filter(Ticker == "TLKM") %>% 
  filter(Ticker %in% stock) %>% 
  arrange(DateTime) %>% 
  plot_seasonal_diagnostics(DateTime, Ch1D)

6.3 Seasonal Decomposition

TPT.IDX %>% 
  # filter(Ticker == "TLKM") %>% 
  filter(Ticker %in% stock) %>% 
  arrange(DateTime) %>% 
  plot_stl_diagnostics(DateTime, Ch1D, .feature_set = c("observed", "trend", "season",  "remainder"))
## frequency = 5 observations per 1 week
## trend = 65 observations per 3 months

7 Graphic Stocks

7.1 Stocks with High Turnover (IDX Sector)

7.2 Stocks with High Turnover and Buy Signs

7.3 Stocks with Positive Change of Turnover

7.4 Stocks with Positive Change of Turnover (Trend)

7.5 Stocks with Trend and Momentum (Best Area only)