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 31 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
## 1 DMMX 1160 2022-10-31 Downtrend 11.03 Buy Now -1.69 -4.45 -10.77
## 2 LPPF 4670 2022-10-31 Uptrend 40.93 Buy Now 0.86 -1.91 3.09
## 3 ASSA 1195 2022-10-31 New Uptrend 48.29 Buy Now 5.29 -3.40 3.46
## 4 ACES 565 2022-10-31 Uptrend 69.26 Alert Buy 0.89 -1.75 4.63
## 5 BRIS 1400 2022-10-31 Uptrend 45.10 Alert Buy 0.36 1.09 0.36
## 6 TBIG 2460 2022-10-31 Downtrend 62.78 Warning Sell -1.20 0.40 0.00
## Ch20D Ch60D YTDRet Volume ChTurnover ChTurnover5D AvgCondition RCTrend
## 1 0.43 -19.16 -57.35 --- -0.50 -0.85 Low TO U/P Trend
## 2 24.53 3.55 12.53 --- -0.64 -0.81 Low TO O/P Trend
## 3 -5.53 -31.71 -64.01 --- -0.26 -0.77 High TO U/P Trend
## 4 -6.61 -18.12 -55.86 --- -0.47 -0.76 High TO O/P Trend
## 5 -6.67 -11.95 -21.35 --- -0.59 -0.64 Low TO U/P Trend
## 6 -12.14 -21.15 -16.61 --- -0.35 -0.64 High TO U/P Trend
## RCMomentum RCTrendSignal RCMomentumSignal KairiMABB20 KairiMABB60
## 1 U/P Momentum --- --- -0.04 -0.09
## 2 U/P Momentum --- --- 0.06 0.14
## 3 O/P Momentum --- O/P Momentum Signal -0.02 -0.14
## 4 O/P Momentum O/P Trend Signal O/P Momentum Signal 0.00 -0.12
## 5 O/P Momentum --- --- -0.01 -0.05
## 6 U/P Momentum --- U/P Momentum Signal -0.06 -0.12
## KairiMABB200 BB Bandwidth F1D F2D F1Wk F1Mo MTTrend WkESOValue
## 1 -0.33 40.02 26.29 0.03 0.04 -0.74 -0.92 Downtrend 55.09
## 2 -0.02 77.99 26.68 0.57 -2.76 -0.02 -17.28 Uptrend 75.71
## 3 -0.43 50.07 28.70 2.28 4.04 3.00 10.01 Downtrend 15.24
## 4 -0.39 56.22 26.03 -1.63 -16.34 -49.92 -270.73 Downtrend 36.76
## 5 -0.10 55.63 18.28 0.14 -0.30 -1.47 13.43 Downtrend 34.75
## 6 -0.16 25.29 19.79 -8.12 -10.63 -41.29 -202.73 Downtrend 23.19
## WkESO PriceVolumeCond Last1DPVCond Last2DPVCond RC.JKSE MA.RC RC.BB
## 1 Still Sell fake - fake - fake - 163.41 170.53 33.56
## 2 Warning Sell Fake + fake - fake - 657.85 622.04 72.71
## 3 Buy Now Fake + Real - Real - 168.34 170.98 44.07
## 4 Warning Sell Fake + fake - fake - 79.59 79.57 50.09
## 5 Warning Sell Fake + Real + Real + 197.21 198.33 46.23
## 6 Still Sell fake - Fake + Fake + 346.53 370.32 17.35
## PrevRC.BB Corr20D Corr60D Corr5D KairiMA20 KairiMA60 KairiMA200 MA20Direction
## 1 42.21 0.28 0.71 -0.54 -2.69 -10.19 -45.92 0.25
## 2 73.53 0.30 -0.44 0.39 6.95 12.23 -0.21 46.00
## 3 26.27 0.55 0.64 0.05 0.02 -16.54 -71.90 -3.50
## 4 47.22 0.54 0.70 0.80 1.59 -14.28 -60.06 -2.00
## 5 45.49 0.71 0.72 0.25 1.02 -5.72 -8.74 -5.00
## 6 22.74 0.12 0.61 0.58 -5.14 -13.38 -17.32 -17.00
## MA60Direction MA200Direction LTTrend MoESOValue MoESO MarketCap
## 1 -4.58 -7.95 Downtrend 9.75 Still Buy 8923.08
## 2 2.67 2.40 Uptrend 7.63 Still Buy 12264.12
## 3 -9.25 -12.03 Downtrend 4.02 Still Buy 4260.77
## 4 -2.08 -4.00 Downtrend 5.12 Still Buy 9689.75
## 5 -3.17 -1.97 Downtrend 56.21 Still Sell 57005.10
## 6 -11.00 -2.75 Downtrend 18.24 Alert Buy 55736.22
## Turnover AvgMOTurnover TurnoverRatio AvgMOTurnoverRatio
## 1 1.12 4.92 0.01 0.05
## 2 2.80 20.80 0.02 0.18
## 3 6.60 8.25 0.15 0.19
## 4 29.26 44.78 0.30 0.48
## 5 8.84 14.93 0.02 0.03
## 6 20.06 52.99 0.04 0.09
## IDXSector IDXIndustry Candle
## 1 Teknologi Jasa & Konsultan TI Three Outside Down
## 2 Barang Konsumen Non-Primer Department Store Harami - Bullish
## 3 Transportasi & Logistik Transportasi Jalanan White Candle - Long
## 4 Barang Konsumen Non-Primer Ritel Barang Rumah Tangga Harami - Bullish
## 5 Keuangan Bank Hammer - Inverted
## 6 Infrastruktur Jasa Telekomunikasi Nirkabel Black Candle
## MA200
## 1 Below MA200
## 2 Below MA200
## 3 Below MA200
## 4 Below MA200
## 5 Below MA200
## 6 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_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: 6491.25
## standard deviation: 563.598174243006
## Standardization Parameters
## mean: 4363.2
## standard deviation: 198.138979699558
## Standardization Parameters
## mean: 0.0885
## standard deviation: 1.89387925782403
## Standardization Parameters
## mean: 0.03785
## standard deviation: 1.54818482707782