TPT.IDX %>%
filter(Ticker == "^JKSE") %>%
arrange(DateTime) %>%
head()
## Ticker Close DateTime Trend SO SOSignal Ch1D YestCh Ch5D Ch20D
## 1 ^JKSE 6850.20 2022-02-16 Downtrend 78.17 Buy Now 0.63 1.08 0.23 3.57
## 2 ^JKSE 6835.12 2022-02-17 Downtrend 85.25 Buy Now -0.22 0.63 0.17 3.69
## 3 ^JKSE 6892.82 2022-02-18 Downtrend 92.73 Buy Now 0.84 -0.22 1.13 4.01
## 4 ^JKSE 6902.96 2022-02-21 Downtrend 90.61 Buy Now 0.15 0.84 2.50 2.63
## 5 ^JKSE 6861.99 2022-02-22 Downtrend 63.85 Buy Now -0.59 0.15 0.80 3.11
## 6 ^JKSE 6920.06 2022-02-23 Downtrend 80.19 Buy Now 0.85 -0.59 1.02 5.36
## Ch60D YTDRet Volume ChTurnover ChTurnover5D AvgCondition RCTrend
## 1 1.89 4.08 Above Previous 0.04 -0.14 Low TO U/P Trend
## 2 2.35 3.85 Above Previous 0.06 -0.18 Low TO U/P Trend
## 3 3.14 4.73 Above Previous 0.02 0.05 Low TO U/P Trend
## 4 3.04 4.88 Above Previous 0.00 0.16 Low TO U/P Trend
## 5 4.58 4.26 Above Previous -0.16 -0.06 Low TO U/P Trend
## 6 4.72 5.14 Above Previous 0.05 -0.05 Low TO U/P Trend
## RCMomentum RCTrendSignal RCMomentumSignal KairiMABB20 KairiMABB60
## 1 --- --- --- 0 0
## 2 --- --- --- 0 0
## 3 --- --- --- 0 0
## 4 --- --- --- 0 0
## 5 --- --- --- 0 0
## 6 --- --- --- 0 0
## KairiMABB200 Prev.KairiMABB200 OP.Trend.Start BB Bandwidth F1D F2D
## 1 0 0 --- 88.37 5.36 957.26 1573.24
## 2 0 0 --- 81.02 5.32 430.34 1387.59
## 3 0 0 --- 91.48 5.56 845.00 1275.34
## 4 0 0 --- 89.07 5.94 706.10 1551.10
## 5 0 0 --- 76.08 5.98 730.30 1436.39
## 6 0 0 --- 87.51 5.74 862.60 1592.90
## F1Wk F1Mo MTTrend WkESOValue WkESO PriceVolumeCond Last1DPVCond
## 1 4095.33 11782.29 Downtrend 96.72 Alert Buy Real + fake -
## 2 2955.67 11929.71 Downtrend 91.83 Alert Buy Real + fake -
## 3 3017.35 12606.24 Downtrend 84.43 Alert Buy Real + fake -
## 4 3554.67 13168.47 Downtrend 47.96 Alert Buy Real + fake -
## 5 3668.99 13907.21 Downtrend 51.11 Alert Buy Real + fake -
## 6 3574.33 13788.97 Downtrend 60.67 Alert Buy Real + fake -
## Last2DPVCond RC.JKSE MA.RC RC.BB PrevRC.BB Corr20D Corr60D Corr5D KairiMA20
## 1 fake - 1000 1000 NA NA 1 1 1 2.02
## 2 fake - 1000 1000 NA NA 1 1 1 1.62
## 3 fake - 1000 1000 NA NA 1 1 1 2.25
## 4 fake - 1000 1000 NA NA 1 1 1 2.27
## 5 fake - 1000 1000 NA NA 1 1 1 1.54
## 6 fake - 1000 1000 NA NA 1 1 1 2.11
## KairiMA60 KairiMA200 MA20Direction MA60Direction MA200Direction LTTrend
## 1 2.95 7.73 11.81 2.11 4.45 Uptrend
## 2 2.70 7.46 12.16 2.62 4.30 Uptrend
## 3 3.47 8.17 13.30 3.49 4.40 Uptrend
## 4 3.56 8.24 8.83 3.39 4.54 Uptrend
## 5 2.91 7.63 10.34 5.01 4.55 Uptrend
## 6 3.65 8.33 17.59 5.20 4.78 Uptrend
## MoESOValue MoESO MarketCap Turnover AvgMOTurnover TurnoverRatio
## 1 91.63 Buy Now 0 147623.7 137857.1 Inf
## 2 92.54 Buy Now 0 156352.8 140018.5 Inf
## 3 59.14 Buy Now 0 159874.5 142799.9 Inf
## 4 33.48 Buy Now 0 159285.8 145626.0 Inf
## 5 35.62 Buy Now 0 134314.2 146474.0 Inf
## 6 55.09 Buy Now 0 140764.6 146513.7 Inf
## AvgMOTurnoverRatio IDXSector IDXIndustry Candle
## 1 NA IDX Index Marubozu - Closing White
## 2 NA IDX Index Marubozu - Closing White
## 3 NA IDX Index Marubozu - Closing White
## 4 NA IDX Index Marubozu - Closing White
## 5 NA IDX Index Marubozu - Closing White
## 6 NA IDX Index Marubozu - Closing White
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