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 1 November 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
## 1 BACA 136 2022-11-01 Downtrend 9.52 Still Sell -4.23 -2.74 -10.53
## 2 LPKR 100 2022-11-01 New Downtrend 18.52 Still Sell 0.00 0.00 -0.99
## 3 GOTO 184 2022-11-01 Downtrend 7.94 Alert Buy -1.08 -1.59 -4.66
## 4 DMMX 1095 2022-11-01 Downtrend 4.40 Sell Now -5.60 -1.69 -16.09
## 5 BRMS 177 2022-11-01 Uptrend 29.72 Warning Sell -2.21 4.62 -4.32
## 6 ARTO 4850 2022-11-01 Downtrend 13.69 Sell Now -4.90 5.81 -11.82
## Ch20D Ch60D YTDRet Volume ChTurnover ChTurnover5D AvgCondition
## 1 18.26 -9.33 -48.87 --- -0.37 -0.88 Low TO
## 2 -2.91 -3.85 -29.08 --- -0.27 -0.78 High TO
## 3 -22.69 -34.75 NA --- -0.22 -0.71 Low TO
## 4 -6.41 -22.34 -59.74 Above Previous 0.71 -0.71 Low TO
## 5 10.63 -20.98 52.59 --- -0.56 -0.66 Low TO
## 6 -27.34 -55.09 -69.69 --- -0.30 -0.60 Low TO
## RCTrend RCMomentum RCTrendSignal RCMomentumSignal KairiMABB20
## 1 U/P Trend U/P Momentum U/P Trend Signal --- -0.03
## 2 U/P Trend O/P Momentum --- O/P Momentum Signal -0.01
## 3 U/P Trend O/P Momentum --- O/P Momentum Signal -0.13
## 4 U/P Trend U/P Momentum --- --- -0.09
## 5 O/P Trend U/P Momentum --- U/P Momentum Signal 0.03
## 6 U/P Trend U/P Momentum --- U/P Momentum Signal -0.14
## KairiMABB60 KairiMABB200 BB Bandwidth F1D F2D F1Wk F1Mo
## 1 -0.01 -0.22 43.25 36.67 -0.08 -0.32 -0.38 -1.02
## 2 -0.06 -0.17 49.18 12.18 -0.28 -0.52 0.18 -1.31
## 3 -0.28 NA 17.45 37.71 -3.07 1.20 38.11 279.00
## 4 -0.13 -0.36 21.45 27.28 0.07 0.11 -1.80 -0.59
## 5 -0.10 -0.12 63.65 29.73 -3.25 7.72 14.63 -176.25
## 6 -0.33 -0.57 24.37 49.74 -9.81 -0.36 -20.38 20.51
## MTTrend WkESOValue WkESO PriceVolumeCond Last1DPVCond
## 1 New Downtrend 47.62 Buy Now fake - fake -
## 2 Downtrend 36.37 Warning Sell --- ---
## 3 Downtrend 4.82 Buy Now fake - fake -
## 4 Downtrend 55.09 Still Sell Real - fake -
## 5 Downtrend 65.08 Warning Sell fake - Real +
## 6 Downtrend 20.61 Still Sell fake - Real +
## Last2DPVCond RC.JKSE MA.RC RC.BB PrevRC.BB Corr20D Corr60D Corr5D KairiMA20
## 1 fake - 19.28 19.98 41.11 52.06 -0.41 -0.03 -0.07 -2.54
## 2 --- 14.18 14.33 40.43 33.45 0.41 0.77 0.39 -0.10
## 3 fake - 26.09 30.04 15.39 12.42 -0.04 0.63 0.00 -13.99
## 4 fake - 155.27 170.02 17.33 33.56 0.24 0.72 0.10 -8.45
## 5 Real + 25.10 24.35 61.10 68.50 0.46 0.65 -0.01 3.90
## 6 Real + 687.72 795.67 21.90 26.99 0.28 0.60 0.33 -14.61
## KairiMA60 KairiMA200 MA20Direction MA60Direction MA200Direction LTTrend
## 1 -1.76 -25.72 1.05 -0.23 -0.66 Downtrend
## 2 -7.80 -18.52 -0.15 -0.07 -0.18 Downtrend
## 3 -40.93 NA -2.70 -1.63 NA ---
## 4 -16.25 -53.85 -3.75 -5.25 -8.03 Downtrend
## 5 -12.02 -12.43 0.85 -0.78 0.32 Uptrend
## 6 -51.63 -127.29 -91.25 -99.17 -64.63 Downtrend
## MoESOValue MoESO MarketCap Turnover AvgMOTurnover TurnoverRatio
## 1 33.10 Buy Now 953.04 2.56 14.68 0.27
## 2 15.35 Still Buy 7089.80 1.30 2.86 0.02
## 3 10.08 Alert Buy 217120.02 90.23 173.83 0.04
## 4 13.91 Buy Now 8423.08 1.91 4.99 0.02
## 5 18.99 Buy Now 25134.00 42.73 152.03 0.17
## 6 8.12 Still Buy 66530.78 45.68 107.22 0.07
## AvgMOTurnoverRatio IDXSector IDXIndustry
## 1 1.39 Keuangan Bank
## 2 0.04 Properti & Real Estat Pengembang & Operator Real Estat
## 3 0.07 Teknologi Aplikasi & Jasa Internet
## 4 0.05 Teknologi Jasa & Konsultan TI
## 5 0.63 Barang Baku Logam & Mineral Lainnya
## 6 0.15 Keuangan Bank
## Candle MA200
## 1 Marubozu - Closing Black Below MA200
## 2 Black Candle Below MA200
## 3 Three Black Crows <NA>
## 4 Marubozu - Black Below MA200
## 5 Dark Cloud Cover Below MA200
## 6 Black Candle - Long 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: 6496.25
## standard deviation: 559.852086980555## Standardization Parameters
## mean: 4365.05
## standard deviation: 196.923568827601## Standardization Parameters
## mean: 0.10015
## standard deviation: 1.87904965756041## Standardization Parameters
## mean: 0.05565
## standard deviation: 1.534876806638829 Draft Top Stocks
