Most Important MMD Chart Data Science
MM Dandytra, CFTe
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 25 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
5.1 Consumer Related
5.2 Infrastructure Related
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 WIKA 900 2022-10-25 Downtrend 61.11 Buy Now 0.56 -1.10 2.27 -6.74
## 2 ARTO 5500 2022-10-25 Downtrend 64.02 Sell Now 0.00 1.38 12.24 -21.43
## 3 EMTK 1535 2022-10-25 Downtrend 54.54 Still Sell 0.00 0.33 3.02 -5.25
## 4 PTBA 3750 2022-10-25 Downtrend 25.08 Buy Now -0.79 -1.31 -5.30 -10.07
## 5 KLBF 2000 2022-10-25 Uptrend 63.25 Buy Now 0.25 1.01 5.26 8.11
## 6 BRMS 185 2022-10-25 Uptrend 65.15 Alert Buy -0.54 5.08 6.94 11.45
## Ch60D YTDRet Volume ChTurnover ChTurnover5D AvgCondition RCTrend
## 1 -3.23 -18.55 Abv Prev&Avg 0.05 -0.71 Low TO U/P Trend
## 2 -48.60 -65.63 Above Previous 0.17 -0.70 High TO U/P Trend
## 3 -17.91 -32.68 --- -0.47 -0.67 Low TO U/P Trend
## 4 -12.38 38.38 --- -0.03 -0.64 High TO U/P Trend
## 5 26.18 23.84 Above Previous 0.46 -0.56 High TO O/P Trend
## 6 -19.57 59.48 --- -0.44 -0.52 Low TO O/P Trend
## RCMomentum RCTrendSignal RCMomentumSignal KairiMABB20 KairiMABB60
## 1 O/P Momentum --- O/P Momentum Signal -0.03 -0.09
## 2 O/P Momentum --- --- -0.09 -0.29
## 3 O/P Momentum --- --- -0.03 -0.13
## 4 O/P Momentum --- O/P Momentum Signal -0.09 -0.10
## 5 U/P Momentum --- --- 0.05 0.15
## 6 U/P Momentum --- U/P Momentum Signal 0.13 -0.08
## KairiMABB200 BB Bandwidth F1D F2D F1Wk F1Mo MTTrend
## 1 -0.11 23.65 8.25 0.86 -0.54 -0.22 -3.48 Downtrend
## 2 -0.52 33.34 48.89 10.14 5.87 46.92 26.35 Downtrend
## 3 -0.24 36.27 12.71 -4.86 -1.91 20.13 -53.64 Downtrend
## 4 0.00 5.23 18.65 -11.09 -22.98 -52.57 75.79 Downtrend
## 5 0.18 89.96 14.64 -13.75 -20.93 -110.59 -402.97 Uptrend
## 6 -0.07 90.12 35.12 0.17 -1.26 -8.33 -151.41 Downtrend
## WkESOValue WkESO PriceVolumeCond Last1DPVCond Last2DPVCond RC.JKSE MA.RC
## 1 15.26 Still Buy Real + Real - Real - 127.69 131.83
## 2 21.64 Buy Now --- Fake + Fake + 780.32 857.07
## 3 13.81 Buy Now --- Fake + Fake + 217.78 223.84
## 4 27.15 Alert Buy fake - fake - fake - 532.04 586.37
## 5 64.50 Still Buy Real + Fake + Fake + 283.75 270.81
## 6 48.36 Still Buy fake - Real + Real + 26.25 23.24
## RC.BB PrevRC.BB Corr20D Corr60D Corr5D KairiMA20 KairiMA60 KairiMA200
## 1 10.76 -1.58 0.36 0.82 0.66 -2.22 -10.25 -10.32
## 2 30.17 27.88 0.78 0.45 -0.24 -8.87 -42.65 -105.95
## 3 25.53 22.45 0.49 0.51 0.93 -1.78 -15.80 -29.41
## 4 2.51 -1.60 -0.03 0.52 0.39 -9.11 -11.93 0.67
## 5 79.38 80.54 -0.17 -0.41 0.20 5.53 12.21 16.22
## 6 86.51 92.21 0.00 0.61 0.86 12.35 -9.10 -6.68
## MA20Direction MA60Direction MA200Direction LTTrend MoESOValue
## 1 -3.25 -0.50 -1.15 Downtrend 40.75
## 2 -75.00 -86.67 -58.13 Downtrend 9.52
## 3 -4.25 -5.58 -3.78 Downtrend 9.60
## 4 -21.00 -8.83 4.75 Uptrend 62.03
## 5 7.50 6.92 1.97 Uptrend 74.39
## 6 0.95 -0.75 0.38 New Uptrend 16.05
## MoESO MarketCap Turnover AvgMOTurnover TurnoverRatio
## 1 Alert Buy 8072.96 9.90 13.48 0.12
## 2 Still Buy 75447.28 114.28 109.56 0.15
## 3 Alert Buy 94006.09 18.39 38.99 0.02
## 4 Still Sell 43202.47 122.00 151.32 0.28
## 5 Warning Sell 93750.24 89.68 91.43 0.10
## 6 Still Buy 26270.00 126.78 164.30 0.48
## AvgMOTurnoverRatio IDXSector IDXIndustry
## 1 0.16 Infrastruktur Konstruksi Bangunan
## 2 0.14 Keuangan Bank
## 3 0.04 Perindustrian Perusahaan Holding Multi-sektor
## 4 0.33 Energi Produksi Batu Bara
## 5 0.10 Kesehatan Farmasi
## 6 0.71 Barang Baku Logam & Mineral Lainnya
## Candle MA200
## 1 Hammer - Inverted Below MA200
## 2 Hammer - Inverted Below MA200
## 3 Black Candle Below MA200
## 4 Marubozu - Opening Black Above MA200
## 5 Black Candle Above MA200
## 6 Black Candle Below 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_columnsplot_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: DateTimeTPT.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: DateTime8.3 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: DateTime8.4 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 monthsTPT.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 months8.5 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: DateTimeTPT.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: 6481.43939393939
## standard deviation: 571.004835083707## Standardization Parameters
## mean: 4360.65656565657
## standard deviation: 199.921490256345## Standardization Parameters
## mean: 0.0995454545454545
## standard deviation: 1.8916547413204## Standardization Parameters
## mean: 0.0544444444444444
## standard deviation: 1.56645269806459 Draft Top Stocks
