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 24 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 20D - 5D
6.1.3 Graph 1D - 5D
6.1.4 Table
7 Data Explorer (Draft)
head(TPT)## Ticker Close DateTime Trend SO SOSignal Ch1D YestCh Ch5D Ch20D
## 1 ASRI 171 2022-10-24 Downtrend 62.63 Still Buy 1.18 0.60 3.64 -3.93
## 2 TOWR 1160 2022-10-24 Downtrend 75.93 Still Buy 1.75 3.17 0.00 -3.33
## 3 LPKR 96 2022-10-24 Downtrend 51.11 Still Buy 0.00 1.05 0.00 -6.80
## 4 KLBF 1995 2022-10-24 Uptrend 60.28 Alert Buy 1.01 -2.71 3.37 7.84
## 5 BUKA 260 2022-10-24 Downtrend 73.06 Buy Now 1.56 -2.29 4.00 -5.11
## 6 MAPI 1240 2022-10-24 Uptrend 75.37 Buy Now 1.22 -2.00 6.90 10.71
## Ch60D YTDRet Volume ChTurnover ChTurnover5D AvgCondition RCTrend
## 1 3.01 5.56 --- -0.30 -0.84 Low TO U/P Trend
## 2 -1.28 3.11 --- -0.81 -0.83 Low TO U/P Trend
## 3 -8.57 -31.91 Above Previous 0.33 -0.74 Low TO U/P Trend
## 4 23.15 23.53 --- -0.53 -0.65 High TO O/P Trend
## 5 -11.56 -39.53 Above Previous 0.30 -0.63 Low TO U/P Trend
## 6 39.33 74.65 --- -0.46 -0.62 Low TO O/P Trend
## RCMomentum RCTrendSignal RCMomentumSignal KairiMABB20 KairiMABB60
## 1 O/P Momentum --- --- -0.01 -0.03
## 2 O/P Momentum --- --- -0.04 -0.04
## 3 O/P Momentum --- --- -0.05 -0.11
## 4 U/P Momentum --- --- 0.05 0.15
## 5 O/P Momentum --- O/P Momentum Signal -0.03 -0.10
## 6 U/P Momentum --- --- 0.09 0.18
## KairiMABB200 BB Bandwidth F1D F2D F1Wk F1Mo MTTrend
## 1 0.02 47.32 7.61 -0.02 -0.11 -1.30 -8.39 Downtrend
## 2 0.05 31.41 14.22 -1.57 -38.94 -31.57 -317.22 Downtrend
## 3 -0.21 14.75 12.43 0.43 0.20 -0.04 -5.26 Downtrend
## 4 0.17 93.64 13.76 -7.18 -33.77 -171.77 -398.36 Uptrend
## 5 -0.19 33.45 14.73 6.77 9.28 -24.10 -105.07 Downtrend
## 6 0.34 87.21 26.03 -3.83 -11.62 -22.81 -23.79 Uptrend
## WkESOValue WkESO PriceVolumeCond Last1DPVCond Last2DPVCond RC.JKSE MA.RC
## 1 18.09 Buy Now Fake + Fake + Fake + 24.24 24.54
## 2 27.78 Buy Now Fake + Real + Real + 164.47 170.64
## 3 13.09 Buy Now --- Fake + Fake + 13.61 14.38
## 4 64.50 Still Buy Fake + fake - fake - 282.86 269.63
## 5 19.40 Buy Now Real + fake - fake - 36.86 38.16
## 6 81.05 Still Buy Fake + fake - fake - 175.81 162.02
## RC.BB PrevRC.BB Corr20D Corr60D Corr5D KairiMA20 KairiMA60 KairiMA200
## 1 27.21 12.49 0.72 0.84 0.80 -0.20 -3.48 3.24
## 2 20.97 9.31 0.50 0.46 0.61 -2.72 -4.83 5.78
## 3 1.13 -2.79 0.48 0.78 -0.53 -4.58 -12.62 -24.69
## 4 80.54 80.60 -0.28 -0.37 0.65 5.66 12.34 16.11
## 5 17.78 4.26 0.85 0.47 0.53 -2.50 -11.50 -21.99
## 6 79.17 79.48 -0.54 -0.45 0.77 8.83 14.69 26.47
## MA20Direction MA60Direction MA200Direction LTTrend MoESOValue
## 1 -0.35 0.08 0.04 New Uptrend 51.81
## 2 -2.00 -0.25 0.00 New Downtrend 88.09
## 3 -0.35 -0.15 -0.24 Downtrend 19.78
## 4 7.25 6.25 1.93 Uptrend 74.39
## 5 -0.70 -0.57 -0.93 --- 23.90
## 6 6.00 5.83 2.65 Uptrend 69.47
## MoESO MarketCap Turnover AvgMOTurnover TurnoverRatio
## 1 Alert Buy 3360.05 0.75 2.31 0.02
## 2 Still Sell 59176.96 22.32 65.34 0.04
## 3 Alert Buy 6806.21 1.66 2.34 0.02
## 4 Warning Sell 93515.88 61.26 94.24 0.07
## 5 Alert Buy 26780.00 30.74 53.45 0.11
## 6 Buy Now 20584.00 13.65 29.73 0.07
## AvgMOTurnoverRatio IDXSector
## 1 0.07 Properti & Real Estat
## 2 0.11 Infrastruktur
## 3 0.03 Properti & Real Estat
## 4 0.11 Kesehatan
## 5 0.20 Teknologi
## 6 0.16 Barang Konsumen Non-Primer
## IDXIndustry Candle MA200
## 1 Pengembang & Operator Real Estat White Candle Above MA200
## 2 Jasa Telekomunikasi Nirkabel White Candle - Small Above MA200
## 3 Pengembang & Operator Real Estat Doji Below MA200
## 4 Farmasi Harami - Bullish Above MA200
## 5 Aplikasi & Jasa Internet Doji Below MA200
## 6 Ritel Pakaian & Tekstil Marubozu - Opening White 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_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: 6480.32994923858
## standard deviation: 572.245637073353## Standardization Parameters
## mean: 4360.5076142132
## standard deviation: 200.419830256627## Standardization Parameters
## mean: 0.096243654822335
## standard deviation: 1.89590216033263## Standardization Parameters
## mean: 0.057005076142132
## standard deviation: 1.570028163329439 Draft Top Stocks
