TPT.IDX %>%
filter(Ticker == "^JKSE") %>%
arrange(DateTime) %>%
head()
## Ticker Close DateTime Trend SO SOSignal Ch1D YestCh Ch5D Ch20D
## 1 ^JKSE 6902.96 2022-02-21 Downtrend 90.61 Sell Now 0.15 0.84 2.50 2.63
## 2 ^JKSE 6861.99 2022-02-22 Downtrend 63.85 Sell Now -0.59 0.15 0.80 3.11
## 3 ^JKSE 6920.06 2022-02-23 Downtrend 80.19 Sell Now 0.85 -0.59 1.02 5.36
## 4 ^JKSE 6817.82 2022-02-24 Downtrend 54.41 Sell Now -1.48 0.85 -0.25 3.29
## 5 ^JKSE 6888.17 2022-02-25 Downtrend 61.89 Sell Now 1.03 -1.48 -0.07 4.19
## 6 ^JKSE 6921.44 2022-03-01 Downtrend 70.72 Sell Now 0.48 1.03 0.27 4.15
## Ch60D YTDRet Volume ChTurnover ChTurnover5D AvgCondition RCTrend RCMomentum
## 1 3.04 4.88 --- 0.00 0.16 High TO U/P Trend ---
## 2 4.58 4.26 --- -0.16 -0.06 High TO U/P Trend ---
## 3 4.72 5.14 --- 0.05 -0.05 High TO U/P Trend ---
## 4 4.34 3.59 --- 0.37 0.23 High TO U/P Trend ---
## 5 5.85 4.66 --- -0.25 -0.09 High TO U/P Trend ---
## 6 5.13 5.17 --- -0.06 -0.15 High TO U/P Trend ---
## RCTrendSignal RCMomentumSignal KairiMABB20 KairiMABB60 KairiMABB200
## 1 --- --- 0 0 0
## 2 --- --- 0 0 0
## 3 --- --- 0 0 0
## 4 --- --- 0 0 0
## 5 --- --- 0 0 0
## 6 --- --- 0 0 0
## Prev.KairiMABB200 OP.Trend.Start BB Bandwidth F1D F2D F1Wk
## 1 0 --- 89.07 5.94 706.10 1551.10 3554.67
## 2 0 --- 76.08 5.98 730.30 1436.39 3668.99
## 3 0 --- 87.51 5.74 862.60 1592.90 3574.33
## 4 0 --- 59.19 5.25 828.06 1690.66 3972.05
## 5 0 --- 77.16 4.83 1439.63 2267.69 4566.68
## 6 0 --- 84.72 4.60 1281.39 2721.02 5141.97
## F1Mo MTTrend WkESOValue WkESO PriceVolumeCond Last1DPVCond
## 1 13168.47 Downtrend 96.72 Still Buy fake - fake -
## 2 13907.21 Downtrend 91.83 Still Buy fake - fake -
## 3 13788.97 Downtrend 84.43 Still Buy fake - fake -
## 4 14585.95 Downtrend 47.96 Still Buy fake - fake -
## 5 15983.85 Downtrend 51.11 Still Buy fake - fake -
## 6 17371.36 Downtrend 60.67 Still Buy fake - fake -
## Last2DPVCond RC.JKSE MA.RC RC.BB PrevRC.BB Corr20D Corr60D Corr5D KairiMA20
## 1 fake - 1000 1000 NA NA 1 1 1 2.27
## 2 fake - 1000 1000 NA NA 1 1 1 1.54
## 3 fake - 1000 1000 NA NA 1 1 1 2.11
## 4 fake - 1000 1000 NA NA 1 1 1 0.48
## 5 fake - 1000 1000 NA NA 1 1 1 1.30
## 6 fake - 1000 1000 NA NA 1 1 1 1.57
## KairiMA60 KairiMA200 MA20Direction MA60Direction MA200Direction LTTrend
## 1 3.56 8.24 8.83 3.39 4.54 Uptrend
## 2 2.91 7.63 10.34 5.01 4.55 Uptrend
## 3 3.65 8.33 17.59 5.20 4.78 Uptrend
## 4 2.14 6.90 10.85 4.73 4.21 Uptrend
## 5 3.04 7.78 13.85 6.34 4.59 Uptrend
## 6 3.43 8.15 13.80 5.63 4.97 Uptrend
## MoESOValue MoESO MarketCap Turnover AvgMOTurnover TurnoverRatio
## 1 91.63 Buy Now 0 159285.8 145626.0 Inf
## 2 92.54 Buy Now 0 134314.2 146474.0 Inf
## 3 59.14 Buy Now 0 140764.6 146513.7 Inf
## 4 33.48 Buy Now 0 192872.0 148732.2 Inf
## 5 35.62 Buy Now 0 144904.0 150126.8 Inf
## 6 55.09 Buy Now 0 136032.0 150556.9 Inf
## AvgMOTurnoverRatio IDXSector IDXIndustry Candle
## 1 NA IDX Index Black Candle - Long
## 2 NA IDX Index Black Candle - Long
## 3 NA IDX Index Black Candle - Long
## 4 NA IDX Index Black Candle - Long
## 5 NA IDX Index Black Candle - Long
## 6 NA IDX Index Black Candle - Long
Table dan Grafik ini menggolongkan saham pada return 1, 5, 20 hari dan YTD (dari sejak awal tahun 2020).
stock <- "TLKM"
stocks <- c("TLKM", "ISAT", "EXCL")
TPT.IDX %>%
filter(Ticker %in% stocks) %>%
arrange(DateTime) %>%
filter_by_time(.start_date = "2022-10-03") %>%
group_by(Ticker) %>%
plot_time_series(DateTime, Close, Ticker, .smooth = F)
## .date_var is missing. Using: DateTime
TPT.IDX %>%
# filter(Ticker == "TLKM") %>%
filter(Ticker %in% stock) %>%
arrange(DateTime) %>%
plot_seasonal_diagnostics(DateTime, Ch1D)
TPT.IDX %>%
# filter(Ticker == "TLKM") %>%
filter(Ticker %in% stock) %>%
arrange(DateTime) %>%
plot_stl_diagnostics(DateTime, Ch1D, .feature_set = c("observed", "trend", "season", "remainder"))
## frequency = 5 observations per 1 week
## trend = 65 observations per 3 months