Halo Investor dan Trader,

Halaman ini berisi Raw Information dari Technical Analysis ala Muhamad Makky Dandytra, CFTe untuk MMD Charts.

## [1] "Based on Trading Date 26 Oktober 2022"

Untuk informasi lengkap, silahkan kunjungi website https://www.mmdcharts.com.

Semoga berguna dan bermanfaat.

1 Graphic Stocks

1.1 Stocks with High Turnover (IDX Sector)

1.2 Stocks with High Turnover and Buy Signs

1.3 Stocks with Positive Change of Turnover

1.4 Stocks with Positive Change of Turnover (Trend)

1.5 Stocks with Trend and Momentum (Best Area only)

2 Graphic IDXSectors

2.1 IDXSector in Trend and Momentum

Grafik ini menampilkan Sektor dan Relasinya-nya dengan Trend dan Stoch. Oscillator.

2.2 IDXIndustry in Trend and Momentum

Grafik ini menampilkan Sektor dan Relasinya-nya dengan Trend dan Stoch. Oscillator.

2.3 IDXIndustry in Trend and Momentum (Best Area Only)

Grafik ini menampilkan Sektor dan Relasinya-nya dengan Trend dan Stoch. Oscillator.

2.3.1 Table

2.4 IDXIndustry in Trend and Momentum (Infra Only)

Grafik ini menampilkan Sektor dan Relasinya-nya dengan Trend dan Stoch. Oscillator.

2.5 IDXSector in Foreign Net Buy 5D Positive

Grafik ini menampilkan Sektor dan Relasinya-nya dengan Net Buy Asing yang positif dalam 5 hari.

2.6 IDXIndustry in Foreign Net Buy 5D Positive

Grafik ini menampilkan Sektor dan Relasinya-nya dengan Net Buy Asing yang positif dalam 5 hari.

2.7 IDXIndustry in Foreign Net Buy 5D Positive (Infra Only)

Grafik ini menampilkan Sektor dan Relasinya-nya dengan Net Buy Asing yang positif dalam 5 hari.

2.8 IDXSector in 1D, 5D and 20D % Change

Grafik ini menampilkan Sektor dan Relasinya-nya dengan Rata - Rata Pergerakannya dalam 1D, 5D dan 20D.

2.9 IDXIndustry in 1D, 5D and 20D % Change

Grafik ini menampilkan Sektor dan Relasinya-nya dengan Rata - Rata Pergerakannya dalam 1D, 5D dan 20D.

2.10 IDXIndustry in 1D, 5D and 20D % Change (Infra Only)

Grafik ini menampilkan Sektor dan Relasinya-nya dengan Rata - Rata Pergerakannya dalam 1D, 5D dan 20D.

2.11 IDXSector in Change Turnover 1D and 5D

Grafik ini menampilkan Sektor dan Relasinya-nya dengan Rata - Rata Pergerakannya dalam 1D, 5D dan 20D.

2.12 IDXIndustry in Change Turnover 1D and 5D

Grafik ini menampilkan Sektor dan Relasinya-nya dengan Rata - Rata Pergerakannya dalam 1D, 5D dan 20D.

2.13 IDXIndustry in Change Turnover 1D and 5D (Infra Only)

Grafik ini menampilkan Sektor dan Relasinya-nya dengan Rata - Rata Pergerakannya dalam 1D, 5D dan 20D.

3 SUPER QUADRANT STOCKS

3.1 SUPER QUADRANT STOCKS - Seluruh Sektor

Grafik Super Quadrant Stocks ini menampilkan Trend dan Sinyal dibagi per Sektor.

3.2 SUPER QUADRANT STOCKS - Seluruh Sektor dan sinyal Buy

Grafik Super Quadrant Stocks ini menampilkan Trend dan sinyal Buy dibagi per Sektor.

3.3 SUPER QUADRANT STOCKS - Outperform Trend dan Uptrend

Grafik Super Quadrant Stocks ini hanya menampilkan Saham dalam Outperform Trend dan Uptrend - dibagi berdasarkan Sektor.

3.4 SUPER QUADRANT STOCKS - Outperform Trend, Uptrend dan Sinyal Buy

Grafik Super Quadrant Stocks ini hanya menampilkan Saham dalam Outperform Trend dan Uptrend dengan sinyal Buy - dibagi berdasarkan Sektor.

3.5 SUPER QUADRANT STOCKS - Champion Quadrant dan Uptrend

Grafik Super Quadrant Stocks ini hanya menampilkan Saham dalam Champion Quadrant dan Uptrend - dibagi berdasarkan Sektor.

3.6 SUPER QUADRANT STOCKS - Champion Quadrant, Uptrend dan sinyal Buy

Grafik Super Quadrant Stocks ini hanya menampilkan Saham dalam Champion Quadrant dan Uptrend dengan sinyal Buy - dibagi berdasarkan Sektor.

3.7 SUPER QUADRANT STOCKS - TOP STOCKS FROM SUPER QUADRANT

4 Standard Graphic Stocks

4.1 1D and 5D Return Saham Outperform Trend dan Uptrend

4.2 5D and 20D Return Saham Outperform Trend dan Uptrend

4.3 5D and 20D Return TOP STOCKS FROM SUPER QUADRANT

4.4 1D and 5D Return Saham dalam Champion Quadrant and Uptrend

4.5 1D Change of Price and Turnover dari Saham Outperform Trend dan Uptrend

5 Ch Turnover

5.3 Multiple Line Chart (draft)

# TPT.IDX
# 
# TPT %>% 
#   filter(KairiMABB20 > 0, KairiMABB60 > 0, KairiMABB200 > 0) %>% 
#   arrange(DateTime, Ticker) %>% 
#   select(Ticker, Close, Ch1D, Ch5D, Ch20D, YTDRet) %>%
#   ggplot(aes(x = DateTime))+
#   geom_bar(aes(y = Ch1D))+
#   facet_wrap(~ Ticker, ncol = 5)

6 Cluster

6.1 1D, 5D, 20D & YTD Return

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

6.1.1 Graph YTD - 5D

6.1.2 Graph YTD - 60D

6.1.3 Graph 60D - 20D

6.1.4 Graph 20D - 5D

6.1.5 Graph 1D - 5D

6.1.6 Table

7 Data Explorer (Draft)

head(TPT)
##   Ticker Close   DateTime     Trend    SO   SOSignal  Ch1D YestCh  Ch5D  Ch20D
## 1   PTBA  3810 2022-10-26 Downtrend 47.04  Still Buy  1.60  -0.79  2.14  -8.19
## 2   ARTO  5125 2022-10-26 Downtrend 19.73 Still Sell -6.82   0.00 -7.24 -26.79
## 3   INTP  9250 2022-10-26 Downtrend 25.49    Buy Now  1.37  -1.62 -1.86  -5.85
## 4   DMMX  1240 2022-10-26   Uptrend 38.48 Still Sell -4.98   0.38 -2.75   2.06
## 5   KLBF  2040 2022-10-26   Uptrend 72.03  Still Buy  2.00   0.25  3.03  12.09
## 6   SMGR  7475 2022-10-26   Uptrend 12.50  Alert Buy  0.00  -1.32 -3.55   1.01
##    Ch60D YTDRet       Volume ChTurnover ChTurnover5D AvgCondition   RCTrend
## 1  -9.07  40.59          ---       0.00        -0.82      High TO U/P Trend
## 2 -51.76 -67.97          ---      -0.17        -0.75      High TO U/P Trend
## 3   1.09 -23.55          ---      -0.59        -0.74      High TO U/P Trend
## 4 -14.19 -54.41 Abv Prev&Avg       0.19        -0.73      High TO O/P Trend
## 5  28.30  26.32          ---      -0.57        -0.70      High TO O/P Trend
## 6  15.89   3.10          ---      -0.35        -0.66       Low TO U/P Trend
##     RCMomentum RCTrendSignal    RCMomentumSignal KairiMABB20 KairiMABB60
## 1 O/P Momentum           ---                 ---       -0.07       -0.08
## 2 U/P Momentum           --- U/P Momentum Signal       -0.14       -0.33
## 3 O/P Momentum           --- O/P Momentum Signal       -0.01       -0.02
## 4 U/P Momentum           ---                 ---        0.03       -0.03
## 5 O/P Momentum           --- O/P Momentum Signal        0.06        0.17
## 6 U/P Momentum           ---                 ---       -0.01        0.07
##   KairiMABB200    BB Bandwidth    F1D    F2D    F1Wk    F1Mo   MTTrend
## 1         0.01 16.89     19.60  18.59   7.51   -1.10  135.22 Downtrend
## 2        -0.55 23.15     48.60 -17.59  -7.45  -16.12   -3.60 Downtrend
## 3        -0.09 48.40      6.74  -4.88 -15.23  -50.41 -169.07 Downtrend
## 4        -0.29 66.49     26.28  -2.21  -1.08   -0.61   -1.32 Downtrend
## 5         0.20 96.81     15.68  -8.63 -22.38 -103.87 -390.01   Uptrend
## 6         0.08 51.07      7.84   7.77   7.80   49.54   24.93   Uptrend
##   WkESOValue        WkESO PriceVolumeCond Last1DPVCond Last2DPVCond RC.JKSE
## 1      27.15    Alert Buy          Fake +       fake -       fake -  540.89
## 2      21.64      Buy Now          fake -          ---          ---  727.58
## 3      13.61      Buy Now          Fake +       fake -       fake - 1313.19
## 4      58.33 Warning Sell          Real -       Fake +       Fake +  176.04
## 5      64.50    Still Buy          Fake +       Real +       Real +  289.61
## 6      72.60      Buy Now             ---       Real -       Real - 1061.20
##     MA.RC RC.BB PrevRC.BB Corr20D Corr60D Corr5D KairiMA20 KairiMA60 KairiMA200
## 1  584.10 14.32      2.51   -0.10    0.52  -0.74     -6.94    -10.00       2.10
## 2  843.99 19.59     30.17    0.68    0.50   0.00    -15.00    -51.30    -119.85
## 3 1327.31 35.69     17.19    0.22    0.50   0.08     -0.11     -2.59      -8.22
## 4  170.33 63.21     85.02    0.28    0.64  -0.38      4.15     -4.09     -38.38
## 5  272.43 88.10     79.38   -0.03   -0.44  -0.21      6.84     13.56      17.76
## 6 1070.63 40.91     41.19   -0.08   -0.67  -0.91      0.08      5.98       8.44
##   MA20Direction MA60Direction MA200Direction   LTTrend MoESOValue      MoESO
## 1        -17.00         -6.33           5.10   Uptrend      62.03 Still Sell
## 2        -93.75        -91.67         -60.00 Downtrend       9.52  Alert Buy
## 3        -28.75          1.67         -11.88 Downtrend      29.87 Still Sell
## 4          1.25         -3.42          -7.15 Downtrend       9.75  Still Buy
## 5         11.00          7.50           2.13   Uptrend      74.39  Still Buy
## 6          3.75         17.08           1.25 Downtrend      72.07    Buy Now
##   MarketCap Turnover AvgMOTurnover TurnoverRatio AvgMOTurnoverRatio   IDXSector
## 1  43893.71   121.96        154.48          0.28               0.34      Energi
## 2  70303.15    94.33        108.73          0.13               0.14    Keuangan
## 3  34051.39    12.06         27.90          0.04               0.08 Barang Baku
## 4   9538.46     7.95          4.85          0.08               0.05   Teknologi
## 5  95625.25    38.45         89.67          0.04               0.10   Kesehatan
## 6  44338.11    50.98         72.52          0.11               0.16 Barang Baku
##           IDXIndustry                   Candle       MA200
## 1  Produksi Batu Bara Marubozu - Opening White Above MA200
## 2                Bank Marubozu - Closing Black Below MA200
## 3 Material Konstruksi         Marubozu - White Below MA200
## 4 Jasa & Konsultan TI Marubozu - Closing Black Below MA200
## 5             Farmasi Marubozu - Opening White Above MA200
## 6 Material Konstruksi                     Doji Above MA200
# value : SO, Ch1D, Ch5D, Ch20D, YTDRet, ChTurnover, KairiMABB20, KairiMABB60, KairiMABB200, BB, Bandwidth, F1D, F2D, F1Wk, F1Mo,KairiMA20, KairiMA60, KairiMA200, MA20Direction, MA60Direction, MA200Direction

# Discrete : Ticker, Trend, SOSignal, Volume, AvgCondition, RCTrend, RCMomentum, RCTrendSignal, RCMomentumSignal, PriceVolumeCond, MA200

TPT.value <- TPT %>% 
  select(c("SO", "Ch1D", "Ch5D", "Ch20D", "YTDRet", "ChTurnover", "KairiMABB20", "KairiMABB60", "KairiMABB200", "BB", "Bandwidth", "F1D", "F2D", "F1Wk", "F1Mo","KairiMA20", "KairiMA60", "KairiMA200", "MA20Direction", "MA60Direction", "MA200Direction"))

TPT.Discrete <- TPT %>% 
  select(c("Trend", "SOSignal", "Volume", "AvgCondition", "RCTrend", "RCMomentum", "RCTrendSignal", "RCMomentumSignal", "PriceVolumeCond", "MA200"))
library(DataExplorer)
## 
## Attaching package: 'DataExplorer'
## The following object is masked from 'package:expss':
## 
##     split_columns
plot_intro(TPT)

plot_intro(TPT.Discrete)

plot_intro(TPT.value)

plot_missing(TPT)

plot_missing(TPT.Discrete)

plot_missing(TPT.value)

plot_bar(TPT.Discrete)

plot_histogram(TPT.value)

8 Stock Insights

8.1 Select Stocks

single.stock <- "JSMR"

8.2 Plot

TPT.IDX %>% 
  filter(Ticker == single.stock) %>% 
  arrange(DateTime) %>% 
  select(DateTime, Close, Ch1D) %>%
  filter_by_time(.start_date = "2021-12-31") %>% 
  plot_time_series(DateTime, Close)
## .date_var is missing. Using: DateTime
TPT.IDX %>% 
  filter(Ticker == single.stock) %>% 
  arrange(DateTime) %>% 
  select(DateTime, Close, Ch1D) %>%
  filter_by_time(.start_date = "2021-12-31") %>% 
  plot_time_series(DateTime, Ch1D, .smooth = F)
## .date_var is missing. Using: DateTime

8.3 Seasonality

TPT.IDX %>% 
  filter(Ticker == single.stock) %>% 
  arrange(DateTime) %>% 
  select(DateTime, Close, Ch1D) %>% 
  filter_by_time(.start_date = "2021-12-31") %>%
  plot_seasonal_diagnostics(DateTime, Ch1D, .feature_set = "wday.lbl")
## .date_var is missing. Using: DateTime

8.4 STL Decomposition

TPT.IDX %>% 
  filter(Ticker == single.stock) %>% 
  arrange(DateTime) %>% 
  select(DateTime, Close, Ch1D) %>%
  filter_by_time(.start_date = "2021-12-31") %>%
  plot_stl_diagnostics(DateTime, Close, .feature_set = c("observed", "season", "trend"))
## .date_var is missing. Using: DateTime
## frequency = 5 observations per 1 week
## trend = 65 observations per 3 months
TPT.IDX %>% 
  filter(Ticker == single.stock) %>% 
  arrange(DateTime) %>% 
  select(DateTime, Close, Ch1D) %>%
  filter_by_time(.start_date = "2021-12-31") %>%
  plot_stl_diagnostics(DateTime, Ch1D, .feature_set = c("observed", "season", "trend"))
## .date_var is missing. Using: DateTime
## frequency = 5 observations per 1 week
## trend = 65 observations per 3 months

8.5 ACF / PACF

TPT.IDX %>% 
  filter(Ticker == single.stock) %>% 
  arrange(DateTime) %>% 
  select(DateTime, Close, Ch1D) %>%
  filter_by_time(.start_date = "2021-12-31") %>%
  plot_acf_diagnostics(DateTime, Ch1D, .lags = 20)
## .date_var is missing. Using: DateTime
## Warning: `gather_()` was deprecated in tidyr 1.2.0.
## Please use `gather()` instead.

8.6 Joining

TPT.IDX %>% 
  filter(Ticker %in% c("ASII", "TLKM")) %>% 
  arrange(Ticker, DateTime) %>% 
  select(Ticker, DateTime, Close, Ch1D) %>%
  filter_by_time(.start_date = "2021-12-31") %>% 
  plot_time_series(DateTime, Close, .facet_vars = Ticker)
## .date_var is missing. Using: DateTime
TPT.IDX %>% 
  filter(Ticker %in% c("ASII", "TLKM")) %>% 
  arrange(Ticker, DateTime) %>% 
  select(Ticker, DateTime, Close, Ch1D) %>%
  filter_by_time(.start_date = "2021-12-31") %>% 
  pivot_wider(names_from = Ticker, values_from = c(Close, Ch1D)) %>% 
  drop_na() %>% 
  mutate(across(Close_ASII:Ch1D_TLKM, .fns = standardize_vec)) %>% 
  pivot_longer(Close_ASII:Ch1D_TLKM) %>% 
  filter(name == c("Close_ASII", "Close_TLKM")) %>% 
  plot_time_series(DateTime, value, .color_var = name, .smooth = FALSE)
## .date_var is missing. Using: DateTime
## Standardization Parameters
## mean: 6481.90954773869
## standard deviation: 569.59969273068
## Standardization Parameters
## mean: 4360.70351758794
## standard deviation: 199.417098893245
## Standardization Parameters
## mean: 0.0896482412060301
## standard deviation: 1.8920301684881
## Standardization Parameters
## mean: 0.0518592964824121
## standard deviation: 1.5629175192638

9 Draft Top Stocks