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 28 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
## 1 LPPF 4630 2022-10-28 Uptrend 38.75 Still Sell -1.91 0.00 -1.70
## 2 MYOR 2430 2022-10-28 Uptrend 62.96 Sell Now -0.41 1.67 0.41
## 3 SMRA 590 2022-10-28 Uptrend 52.38 Still Buy -0.84 1.71 0.00
## 4 BJBR 1370 2022-10-28 Uptrend 73.61 Still Sell -0.36 0.00 0.74
## 5 PWON 442 2022-10-28 New Downtrend 48.15 Sell Now -1.78 0.00 1.38
## 6 ARTO 4820 2022-10-28 Downtrend 2.76 Alert Buy -3.60 -2.44 -11.15
## Ch20D Ch60D YTDRet Volume ChTurnover ChTurnover5D AvgCondition RCTrend
## 1 20.26 2.89 11.57 --- -0.69 -0.84 Low TO O/P Trend
## 2 32.79 29.95 19.12 --- -0.64 -0.76 High TO O/P Trend
## 3 -0.84 -4.84 -29.34 --- -0.80 -0.75 Low TO U/P Trend
## 4 1.11 0.74 2.62 --- -0.33 -0.75 Low TO U/P Trend
## 5 -2.21 -3.91 -4.74 --- -0.10 -0.71 High TO U/P Trend
## 6 -26.97 -56.18 -69.88 --- -0.17 -0.67 Low TO U/P Trend
## RCMomentum RCTrendSignal RCMomentumSignal KairiMABB20 KairiMABB60
## 1 U/P Momentum --- --- 0.07 0.14
## 2 U/P Momentum --- U/P Momentum Signal 0.10 0.25
## 3 U/P Momentum U/P Trend Signal U/P Momentum Signal 0.00 -0.04
## 4 O/P Momentum --- O/P Momentum Signal 0.00 0.00
## 5 U/P Momentum --- --- -0.02 -0.06
## 6 U/P Momentum --- --- -0.17 -0.36
## KairiMABB200 BB Bandwidth F1D F2D F1Wk F1Mo MTTrend WkESOValue
## 1 -0.02 76.90 28.58 -3.33 -3.89 -3.88 -36.46 Uptrend 69.16
## 2 0.29 80.95 35.73 -0.02 2.57 -3.05 -12.48 Uptrend 88.89
## 3 -0.12 60.77 9.54 -0.82 0.38 6.57 10.14 Downtrend 16.27
## 4 -0.03 77.99 2.89 -0.44 0.00 4.14 -32.29 Downtrend 33.60
## 5 -0.09 37.29 5.83 -3.37 -3.73 -6.47 -40.34 Downtrend 6.38
## 6 -0.58 18.88 50.56 1.04 -2.43 -14.16 10.71 Downtrend 21.64
## WkESO PriceVolumeCond Last1DPVCond Last2DPVCond RC.JKSE MA.RC RC.BB
## 1 Buy Now fake - --- --- 656.18 615.89 73.53
## 2 Alert Buy fake - Fake + Fake + 344.39 313.42 78.21
## 3 Still Buy fake - Real + Real + 83.62 83.65 49.31
## 4 Buy Now fake - --- --- 194.16 194.70 43.02
## 5 Still Buy fake - --- --- 62.64 63.79 14.09
## 6 Buy Now fake - fake - fake - 683.10 818.91 15.64
## PrevRC.BB Corr20D Corr60D Corr5D KairiMA20 KairiMA60 KairiMA200 MA20Direction
## 1 81.14 0.20 -0.45 0.45 7.14 11.53 -1.03 39.00
## 2 80.25 0.17 -0.61 0.84 9.96 19.46 23.80 30.00
## 3 54.18 0.85 0.74 0.49 1.02 -5.47 -12.49 -0.25
## 4 40.87 0.66 0.79 0.08 0.80 -0.63 -1.64 0.75
## 5 36.30 0.59 0.80 0.39 -0.75 -7.34 -8.09 -0.50
## 6 17.33 0.45 0.55 -0.40 -18.67 -56.66 -131.32 -89.00
## MA60Direction MA200Direction LTTrend MoESOValue MoESO MarketCap
## 1 2.17 2.30 Uptrend 7.63 Still Buy 12159.07
## 2 9.33 1.90 New Uptrend 41.64 Buy Now 54331.64
## 3 -0.50 -1.20 Downtrend 29.03 Still Sell 9740.06
## 4 0.17 0.10 New Uptrend 31.41 Still Buy 13344.35
## 5 -0.30 -0.14 Downtrend 21.39 Still Sell 21286.54
## 6 -103.00 -62.53 Downtrend 9.52 Alert Buy 66119.25
## Turnover AvgMOTurnover TurnoverRatio AvgMOTurnoverRatio
## 1 7.67 21.22 0.06 0.19
## 2 12.41 25.60 0.02 0.05
## 3 2.44 11.93 0.03 0.12
## 4 1.94 5.76 0.01 0.04
## 5 6.46 11.25 0.03 0.05
## 6 47.95 107.11 0.07 0.14
## IDXSector IDXIndustry
## 1 Barang Konsumen Non-Primer Department Store
## 2 Barang Konsumen Primer Makanan Olahan
## 3 Properti & Real Estat Pengembang & Operator Real Estat
## 4 Keuangan Bank
## 5 Properti & Real Estat Pengembang & Operator Real Estat
## 6 Keuangan Bank
## Candle MA200
## 1 Black Candle - Long Below MA200
## 2 Hammer Above MA200
## 3 Marubozu - Opening Black Below MA200
## 4 Black Candle Below MA200
## 5 Marubozu - Opening Black 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: 6483.08457711443
## standard deviation: 566.888382144973## Standardization Parameters
## mean: 4361.19402985075
## standard deviation: 198.518430288422## Standardization Parameters
## mean: 0.0869651741293532
## standard deviation: 1.88735906593872## Standardization Parameters
## mean: 0.0604477611940299
## standard deviation: 1.560138551061249 Draft Top Stocks
