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 26 Oktober 2022"
Untuk informasi lengkap, silahkan kunjungi website https://www.mmdcharts.com.
Semoga berguna dan bermanfaat.
Grafik ini menampilkan Sektor dan Relasinya-nya dengan Trend dan Stoch. Oscillator.
Grafik ini menampilkan Sektor dan Relasinya-nya dengan Trend dan Stoch. Oscillator.
Grafik ini menampilkan Sektor dan Relasinya-nya dengan Trend dan Stoch. Oscillator.
Grafik ini menampilkan Sektor dan Relasinya-nya dengan Trend dan Stoch. Oscillator.
Grafik ini menampilkan Sektor dan Relasinya-nya dengan Net Buy Asing yang positif dalam 5 hari.
Grafik ini menampilkan Sektor dan Relasinya-nya dengan Net Buy Asing yang positif dalam 5 hari.
Grafik ini menampilkan Sektor dan Relasinya-nya dengan Net Buy Asing yang positif dalam 5 hari.
Grafik ini menampilkan Sektor dan Relasinya-nya dengan Rata - Rata Pergerakannya dalam 1D, 5D dan 20D.
Grafik ini menampilkan Sektor dan Relasinya-nya dengan Rata - Rata Pergerakannya dalam 1D, 5D dan 20D.
Grafik ini menampilkan Sektor dan Relasinya-nya dengan Rata - Rata Pergerakannya dalam 1D, 5D dan 20D.
Grafik ini menampilkan Sektor dan Relasinya-nya dengan Rata - Rata Pergerakannya dalam 1D, 5D dan 20D.
Grafik ini menampilkan Sektor dan Relasinya-nya dengan Rata - Rata Pergerakannya dalam 1D, 5D dan 20D.
Grafik ini menampilkan Sektor dan Relasinya-nya dengan Rata - Rata Pergerakannya dalam 1D, 5D dan 20D.
Grafik Super Quadrant Stocks ini menampilkan Trend dan Sinyal dibagi per Sektor.
Grafik Super Quadrant Stocks ini menampilkan Trend dan sinyal Buy dibagi per Sektor.
Grafik Super Quadrant Stocks ini hanya menampilkan Saham dalam Outperform Trend dan Uptrend - dibagi berdasarkan Sektor.
Grafik Super Quadrant Stocks ini hanya menampilkan Saham dalam Outperform Trend dan Uptrend dengan sinyal Buy - dibagi berdasarkan Sektor.
Grafik Super Quadrant Stocks ini hanya menampilkan Saham dalam Champion Quadrant dan Uptrend - dibagi berdasarkan Sektor.
Grafik Super Quadrant Stocks ini hanya menampilkan Saham dalam Champion Quadrant dan Uptrend dengan sinyal Buy - dibagi berdasarkan Sektor.
# 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)
Table dan Grafik ini menggolongkan saham pada return 1, 5, 20 hari dan YTD (dari sejak awal tahun 2020).
head(TPT)
## Ticker Close DateTime Trend SO SOSignal Ch1D YestCh Ch5D Ch20D
## 1 PTBA 3810 2022-10-26 Downtrend 47.04 Still Buy 1.60 -0.79 2.14 -8.19
## 2 ARTO 5125 2022-10-26 Downtrend 19.73 Still Sell -6.82 0.00 -7.24 -26.79
## 3 INTP 9250 2022-10-26 Downtrend 25.49 Buy Now 1.37 -1.62 -1.86 -5.85
## 4 DMMX 1240 2022-10-26 Uptrend 38.48 Still Sell -4.98 0.38 -2.75 2.06
## 5 KLBF 2040 2022-10-26 Uptrend 72.03 Still Buy 2.00 0.25 3.03 12.09
## 6 SMGR 7475 2022-10-26 Uptrend 12.50 Alert Buy 0.00 -1.32 -3.55 1.01
## Ch60D YTDRet Volume ChTurnover ChTurnover5D AvgCondition RCTrend
## 1 -9.07 40.59 --- 0.00 -0.82 High TO U/P Trend
## 2 -51.76 -67.97 --- -0.17 -0.75 High TO U/P Trend
## 3 1.09 -23.55 --- -0.59 -0.74 High TO U/P Trend
## 4 -14.19 -54.41 Abv Prev&Avg 0.19 -0.73 High TO O/P Trend
## 5 28.30 26.32 --- -0.57 -0.70 High TO O/P Trend
## 6 15.89 3.10 --- -0.35 -0.66 Low TO U/P Trend
## RCMomentum RCTrendSignal RCMomentumSignal KairiMABB20 KairiMABB60
## 1 O/P Momentum --- --- -0.07 -0.08
## 2 U/P Momentum --- U/P Momentum Signal -0.14 -0.33
## 3 O/P Momentum --- O/P Momentum Signal -0.01 -0.02
## 4 U/P Momentum --- --- 0.03 -0.03
## 5 O/P Momentum --- O/P Momentum Signal 0.06 0.17
## 6 U/P Momentum --- --- -0.01 0.07
## KairiMABB200 BB Bandwidth F1D F2D F1Wk F1Mo MTTrend
## 1 0.01 16.89 19.60 18.59 7.51 -1.10 135.22 Downtrend
## 2 -0.55 23.15 48.60 -17.59 -7.45 -16.12 -3.60 Downtrend
## 3 -0.09 48.40 6.74 -4.88 -15.23 -50.41 -169.07 Downtrend
## 4 -0.29 66.49 26.28 -2.21 -1.08 -0.61 -1.32 Downtrend
## 5 0.20 96.81 15.68 -8.63 -22.38 -103.87 -390.01 Uptrend
## 6 0.08 51.07 7.84 7.77 7.80 49.54 24.93 Uptrend
## WkESOValue WkESO PriceVolumeCond Last1DPVCond Last2DPVCond RC.JKSE
## 1 27.15 Alert Buy Fake + fake - fake - 540.89
## 2 21.64 Buy Now fake - --- --- 727.58
## 3 13.61 Buy Now Fake + fake - fake - 1313.19
## 4 58.33 Warning Sell Real - Fake + Fake + 176.04
## 5 64.50 Still Buy Fake + Real + Real + 289.61
## 6 72.60 Buy Now --- Real - Real - 1061.20
## MA.RC RC.BB PrevRC.BB Corr20D Corr60D Corr5D KairiMA20 KairiMA60 KairiMA200
## 1 584.10 14.32 2.51 -0.10 0.52 -0.74 -6.94 -10.00 2.10
## 2 843.99 19.59 30.17 0.68 0.50 0.00 -15.00 -51.30 -119.85
## 3 1327.31 35.69 17.19 0.22 0.50 0.08 -0.11 -2.59 -8.22
## 4 170.33 63.21 85.02 0.28 0.64 -0.38 4.15 -4.09 -38.38
## 5 272.43 88.10 79.38 -0.03 -0.44 -0.21 6.84 13.56 17.76
## 6 1070.63 40.91 41.19 -0.08 -0.67 -0.91 0.08 5.98 8.44
## MA20Direction MA60Direction MA200Direction LTTrend MoESOValue MoESO
## 1 -17.00 -6.33 5.10 Uptrend 62.03 Still Sell
## 2 -93.75 -91.67 -60.00 Downtrend 9.52 Alert Buy
## 3 -28.75 1.67 -11.88 Downtrend 29.87 Still Sell
## 4 1.25 -3.42 -7.15 Downtrend 9.75 Still Buy
## 5 11.00 7.50 2.13 Uptrend 74.39 Still Buy
## 6 3.75 17.08 1.25 Downtrend 72.07 Buy Now
## MarketCap Turnover AvgMOTurnover TurnoverRatio AvgMOTurnoverRatio IDXSector
## 1 43893.71 121.96 154.48 0.28 0.34 Energi
## 2 70303.15 94.33 108.73 0.13 0.14 Keuangan
## 3 34051.39 12.06 27.90 0.04 0.08 Barang Baku
## 4 9538.46 7.95 4.85 0.08 0.05 Teknologi
## 5 95625.25 38.45 89.67 0.04 0.10 Kesehatan
## 6 44338.11 50.98 72.52 0.11 0.16 Barang Baku
## IDXIndustry Candle MA200
## 1 Produksi Batu Bara Marubozu - Opening White Above MA200
## 2 Bank Marubozu - Closing Black Below MA200
## 3 Material Konstruksi Marubozu - White Below MA200
## 4 Jasa & Konsultan TI Marubozu - Closing Black Below MA200
## 5 Farmasi Marubozu - Opening White Above MA200
## 6 Material Konstruksi Doji 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_columns
plot_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)
single.stock <- "JSMR"
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: DateTime
TPT.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: DateTime
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: DateTime
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 months
TPT.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 months
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.
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: DateTime
TPT.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: 6481.90954773869
## standard deviation: 569.59969273068
## Standardization Parameters
## mean: 4360.70351758794
## standard deviation: 199.417098893245
## Standardization Parameters
## mean: 0.0896482412060301
## standard deviation: 1.8920301684881
## Standardization Parameters
## mean: 0.0518592964824121
## standard deviation: 1.5629175192638