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 27 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 BJBR 1375 2022-10-27 Uptrend 91.67 Sell Now 0.00 0.00 1.10
## 2 CMRY 4450 2022-10-27 Uptrend 23.23 Still Sell -1.55 -3.83 -2.20
## 3 INTP 9200 2022-10-27 New Downtrend 32.28 Warning Sell -0.54 1.37 0.00
## 4 PWON 450 2022-10-27 Uptrend 77.78 Warning Sell 0.00 1.35 0.90
## 5 PGAS 1925 2022-10-27 Uptrend 81.13 Still Buy 0.26 1.86 4.90
## 6 ITMG 44800 2022-10-27 Uptrend 77.90 Sell Now -1.21 3.66 3.11
## Ch20D Ch60D YTDRet Volume ChTurnover ChTurnover5D AvgCondition
## 1 1.48 1.10 3.00 Above Previous 0.40 -0.93 Low TO
## 2 2.53 1.14 30.88 --- -0.30 -0.87 Low TO
## 3 -5.40 1.10 -23.97 Above Previous 0.08 -0.81 Low TO
## 4 -5.46 -3.02 -3.02 --- -0.58 -0.73 High TO
## 5 12.57 13.57 40.00 --- -0.24 -0.72 High TO
## 6 7.95 11.30 119.61 --- -0.48 -0.71 Low TO
## RCTrend RCMomentum RCTrendSignal RCMomentumSignal KairiMABB20
## 1 U/P Trend U/P Momentum U/P Trend Signal U/P Momentum Signal 0.00
## 2 U/P Trend U/P Momentum U/P Trend Signal --- -0.01
## 3 U/P Trend U/P Momentum --- U/P Momentum Signal -0.02
## 4 U/P Trend U/P Momentum --- U/P Momentum Signal -0.01
## 5 O/P Trend U/P Momentum --- U/P Momentum Signal 0.04
## 6 O/P Trend U/P Momentum --- U/P Momentum Signal 0.03
## KairiMABB60 KairiMABB200 BB Bandwidth F1D F2D F1Wk F1Mo
## 1 0.00 -0.03 93.97 2.80 0.43 0.62 7.34 -32.64
## 2 0.02 0.11 53.81 8.58 0.01 0.88 5.75 39.12
## 3 -0.03 -0.10 42.60 4.94 -6.76 -11.64 -38.38 -171.24
## 4 -0.05 -0.08 65.91 5.92 -0.36 -2.32 -3.84 -39.85
## 5 0.08 0.19 94.75 12.44 11.20 13.06 74.17 518.31
## 6 0.08 0.36 90.56 10.28 -10.15 44.08 24.64 64.51
## MTTrend WkESOValue WkESO PriceVolumeCond Last1DPVCond Last2DPVCond
## 1 New Uptrend 33.60 Buy Now --- --- ---
## 2 Uptrend 57.41 Still Sell fake - fake - fake -
## 3 Downtrend 13.61 Buy Now Real - Fake + Fake +
## 4 Downtrend 6.38 Still Buy --- Real + Real +
## 5 Uptrend 74.97 Warning Sell Fake + Fake + Fake +
## 6 Uptrend 62.94 Buy Now fake - Real + Real +
## RC.JKSE MA.RC RC.BB PrevRC.BB Corr20D Corr60D Corr5D KairiMA20 KairiMA60
## 1 193.89 194.61 40.87 58.09 0.63 0.79 0.70 1.22 -0.25
## 2 627.49 635.49 34.13 62.81 0.41 -0.36 -0.23 0.33 1.68
## 3 1297.28 1323.07 20.76 35.69 0.14 0.49 -0.26 -0.37 -3.16
## 4 63.45 63.87 36.30 45.61 0.64 0.80 0.70 0.93 -5.50
## 5 271.44 261.28 79.58 84.84 0.05 0.06 0.74 5.27 7.13
## 6 6317.19 6161.20 81.95 107.63 0.65 -0.07 0.46 4.00 7.45
## KairiMA200 MA20Direction MA60Direction MA200Direction LTTrend MoESOValue
## 1 -1.26 1.00 0.25 0.20 New Uptrend 31.41
## 2 11.79 5.50 0.83 5.25 --- 74.24
## 3 -8.65 -26.25 1.67 -14.50 Downtrend 29.87
## 4 -6.20 -1.30 -0.23 -0.07 Downtrend 21.39
## 5 17.61 10.75 3.83 2.75 Uptrend 65.23
## 6 27.80 165.00 75.84 122.00 Uptrend 81.67
## MoESO MarketCap Turnover AvgMOTurnover TurnoverRatio AvgMOTurnoverRatio
## 1 Still Buy 13393.05 2.87 5.83 0.02 0.04
## 2 Alert Buy 35309.34 3.47 8.19 0.01 0.02
## 3 Still Sell 33867.33 13.00 27.77 0.04 0.08
## 4 Alert Buy 21671.82 7.15 13.52 0.03 0.06
## 5 Still Buy 46664.90 104.14 141.19 0.22 0.32
## 6 Still Buy 50620.64 101.24 118.13 0.20 0.24
## IDXSector IDXIndustry
## 1 Keuangan Bank
## 2 Barang Konsumen Primer Produk Susu Olahan
## 3 Barang Baku Material Konstruksi
## 4 Properti & Real Estat Pengembang & Operator Real Estat
## 5 Energi Penyimpanan & Distribusi Minyak & Gas
## 6 Energi Produksi Batu Bara
## Candle MA200
## 1 White Candle Below MA200
## 2 Marubozu - Closing Black Above MA200
## 3 Marubozu - Closing Black Below MA200
## 4 Hammer - Inverted Below MA200
## 5 Black Candle Above MA200
## 6 Black Candle - Long 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: 6482.75
## standard deviation: 568.291044320845## Standardization Parameters
## mean: 4360.75
## standard deviation: 198.916506056962## Standardization Parameters
## mean: 0.0949
## standard deviation: 1.88873119251733## Standardization Parameters
## mean: 0.0516
## standard deviation: 1.558989957774659 Draft Top Stocks
