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 2 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 Ch20D
## 1 BACA 134 2022-11-02 Downtrend 0.00 Alert Buy -1.47 -4.23 -9.46 13.56
## 2 SCMA 240 2022-11-02 Uptrend 57.58 Sell Now -0.83 3.42 0.00 10.09
## 3 HMSP 980 2022-11-02 Uptrend 21.67 Still Sell -0.51 -1.99 -2.49 8.89
## 4 BUKA 276 2022-11-02 Uptrend 26.06 Alert Buy 0.73 -0.72 -3.50 0.00
## 5 ICBP 9600 2022-11-02 Uptrend 39.39 Alert Buy 1.05 -2.31 -2.04 10.98
## 6 MYOR 2330 2022-11-02 Uptrend 18.18 Alert Buy 1.30 -4.17 -2.92 20.41
## Ch60D YTDRet Volume ChTurnover ChTurnover5D AvgCondition RCTrend
## 1 -10.07 -49.62 --- -0.59 -0.89 Low TO U/P Trend
## 2 -1.64 -26.38 --- -0.55 -0.79 High TO O/P Trend
## 3 5.95 1.55 --- -0.27 -0.78 High TO O/P Trend
## 4 -9.21 -35.81 --- -0.39 -0.76 Low TO O/P Trend
## 5 10.03 10.34 --- -0.48 -0.74 High TO O/P Trend
## 6 19.49 14.22 --- -0.64 -0.62 Low TO O/P Trend
## RCMomentum RCTrendSignal RCMomentumSignal KairiMABB20 KairiMABB60
## 1 U/P Momentum --- --- -0.05 -0.02
## 2 U/P Momentum --- U/P Momentum Signal 0.07 0.09
## 3 U/P Momentum --- --- 0.03 0.08
## 4 O/P Momentum --- O/P Momentum Signal 0.03 -0.02
## 5 O/P Momentum --- O/P Momentum Signal 0.03 0.09
## 6 O/P Momentum --- O/P Momentum Signal 0.03 0.19
## KairiMABB200 BB Bandwidth F1D F2D F1Wk F1Mo MTTrend
## 1 -0.22 36.85 33.90 -0.05 -0.13 -0.31 -1.04 New Downtrend
## 2 -0.02 86.55 19.80 0.66 0.65 -4.60 7.06 Uptrend
## 3 0.02 65.74 19.20 0.88 6.38 -15.99 24.13 Uptrend
## 4 -0.12 72.04 15.47 -5.94 -22.81 -51.30 -34.89 Downtrend
## 5 0.11 72.56 16.27 36.67 84.06 220.44 561.67 Uptrend
## 6 0.25 61.91 30.06 0.67 20.88 25.52 13.19 Uptrend
## WkESOValue WkESO PriceVolumeCond Last1DPVCond Last2DPVCond RC.JKSE
## 1 47.62 Buy Now fake - fake - fake - 19.10
## 2 75.44 Warning Sell fake - Real + Real + 34.21
## 3 75.06 Alert Buy fake - fake - fake - 139.69
## 4 52.56 Warning Sell Fake + Real - Real - 39.34
## 5 92.88 Still Sell Fake + fake - fake - 1368.36
## 6 87.78 Still Sell Fake + Real - Real - 332.11
## MA.RC RC.BB PrevRC.BB Corr20D Corr60D Corr5D KairiMA20 KairiMA60 KairiMA200
## 1 20.10 36.24 41.11 -0.37 -0.03 0.69 -4.66 -3.10 -27.14
## 2 32.05 92.85 101.42 0.82 0.28 -0.63 6.75 7.00 -1.06
## 3 136.23 65.38 67.26 0.60 -0.31 0.72 2.93 6.24 2.56
## 4 38.22 75.12 64.73 0.80 0.57 0.48 3.30 -3.61 -12.67
## 5 1326.13 74.44 64.85 0.71 -0.39 0.58 3.54 7.35 10.90
## 6 322.12 61.16 57.05 0.49 -0.60 0.64 3.45 15.15 20.38
## MA20Direction MA60Direction MA200Direction LTTrend MoESOValue MoESO
## 1 0.80 -0.25 -0.61 Downtrend 33.10 Buy Now
## 2 1.10 -0.07 -0.40 Downtrend 44.03 Buy Now
## 3 4.00 0.92 -0.02 Downtrend 33.33 Buy Now
## 4 0.00 -0.47 -0.98 --- 26.49 Buy Now
## 5 47.50 14.58 3.75 Uptrend 80.03 Warning Sell
## 6 19.75 6.33 1.05 Uptrend 71.97 Warning Sell
## MarketCap Turnover AvgMOTurnover TurnoverRatio AvgMOTurnoverRatio
## 1 939.02 1.06 14.71 0.11 1.39
## 2 17752.94 30.39 33.91 0.17 0.20
## 3 113680.00 19.14 31.88 0.02 0.03
## 4 28428.00 42.04 56.33 0.15 0.20
## 5 111954.32 51.23 69.69 0.05 0.06
## 6 52095.77 17.80 27.78 0.03 0.05
## IDXSector IDXIndustry Candle
## 1 Keuangan Bank Marubozu - Closing Black
## 2 Barang Konsumen Non-Primer Penyiaran Harami - Bearish
## 3 Barang Konsumen Primer Rokok Three Outside Down
## 4 Teknologi Aplikasi & Jasa Internet Doji
## 5 Barang Konsumen Primer Makanan Olahan Harami - Bullish
## 6 Barang Konsumen Primer Makanan Olahan White Candle
## MA200
## 1 Below MA200
## 2 Below MA200
## 3 Above MA200
## 4 Below MA200
## 5 Above MA200
## 6 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: 6500
## standard deviation: 556.827201799011## Standardization Parameters
## mean: 4365.55
## standard deviation: 196.424567080505## Standardization Parameters
## mean: 0.0798
## standard deviation: 1.88269211716632## Standardization Parameters
## mean: 0.0244
## standard deviation: 1.56396501650919 Draft Top Stocks
10 Super Quadrant Consumer & Interest
# unique(dandy.rotation$IDXSector)
dandy.rotation.consumer.interest <- dandy.rotation %>%
filter(IDXSector %in% c("Barang Konsumen Non-Primer", "Barang Konsumen Primer", "Kesehatan", "Keuangan", "Properti & Real Estat"))
dandy.rotation.commodity.infrastructure <- dandy.rotation %>%
filter(IDXSector %in% c("Barang Baku", "Energi", "Infrastruktur", "Perindustrian", "Teknologi", "Transportasi & Logistik"))
