TPT.IDX %>%
filter(Ticker == "^JKSE") %>%
arrange(DateTime) %>%
head()
## Ticker Close DateTime Trend SO SOSignal Ch1D YestCh Ch5D Ch20D
## 1 ^JKSE 6734.49 2022-02-14 Downtrend 31.37 Buy Now -1.19 -0.12 -1.04 0.61
## 2 ^JKSE 6807.50 2022-02-15 Downtrend 48.14 Buy Now 1.08 -1.19 0.26 2.44
## 3 ^JKSE 6850.20 2022-02-16 Downtrend 78.17 Buy Now 0.63 1.08 0.23 3.57
## 4 ^JKSE 6835.12 2022-02-17 Downtrend 85.25 Buy Now -0.22 0.63 0.17 3.69
## 5 ^JKSE 6892.82 2022-02-18 Downtrend 92.73 Buy Now 0.84 -0.22 1.13 4.01
## 6 ^JKSE 6902.96 2022-02-21 Downtrend 90.61 Buy Now 0.15 0.84 2.50 2.63
## Ch60D YTDRet Volume ChTurnover ChTurnover5D AvgCondition RCTrend
## 1 1.48 2.32 Abv Prev&Avg -0.10 -0.10 Low TO U/P Trend
## 2 1.30 3.43 Abv Prev&Avg 0.04 -0.18 Low TO U/P Trend
## 3 1.89 4.08 Abv Prev&Avg 0.04 -0.14 Low TO U/P Trend
## 4 2.35 3.85 Abv Prev&Avg 0.06 -0.18 Low TO U/P Trend
## 5 3.14 4.73 Abv Prev&Avg 0.02 0.05 Low TO U/P Trend
## 6 3.04 4.88 Abv Prev&Avg 0.00 0.16 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 --- 62.67 5.00 168.78 952.10
## 2 0 0 --- 80.99 5.17 615.98 784.76
## 3 0 0 --- 88.37 5.36 957.26 1573.24
## 4 0 0 --- 81.02 5.32 430.34 1387.59
## 5 0 0 --- 91.48 5.56 845.00 1275.34
## 6 0 0 --- 89.07 5.94 706.10 1551.10
## F1Wk F1Mo MTTrend WkESOValue WkESO PriceVolumeCond Last1DPVCond
## 1 5213.31 11146.41 Downtrend 98.56 Alert Buy Real - Real -
## 2 4534.06 11197.30 Downtrend 96.72 Alert Buy Real - Real -
## 3 4095.33 11782.29 Downtrend 91.83 Alert Buy Real - Real -
## 4 2955.67 11929.71 Downtrend 84.43 Alert Buy Real - Real -
## 5 3017.35 12606.24 Downtrend 47.96 Alert Buy Real - Real -
## 6 3554.67 13168.47 Downtrend 51.11 Alert Buy Real - Real -
## Last2DPVCond RC.JKSE MA.RC RC.BB PrevRC.BB Corr20D Corr60D Corr5D KairiMA20
## 1 Real - 1000 1000 NA NA 1 1 1 0.63
## 2 Real - 1000 1000 NA NA 1 1 1 1.58
## 3 Real - 1000 1000 NA NA 1 1 1 2.02
## 4 Real - 1000 1000 NA NA 1 1 1 1.62
## 5 Real - 1000 1000 NA NA 1 1 1 2.25
## 6 Real - 1000 1000 NA NA 1 1 1 2.27
## KairiMA60 KairiMA200 MA20Direction MA60Direction MA200Direction LTTrend
## 1 1.34 6.27 2.05 1.63 3.59 Uptrend
## 2 2.38 7.21 8.12 1.45 4.21 Uptrend
## 3 2.95 7.73 11.81 2.11 4.45 Uptrend
## 4 2.70 7.46 12.16 2.62 4.30 Uptrend
## 5 3.47 8.17 13.30 3.49 4.40 Uptrend
## 6 3.56 8.24 8.83 3.39 4.54 Uptrend
## MoESOValue MoESO MarketCap Turnover AvgMOTurnover TurnoverRatio
## 1 91.63 Buy Now 0 136814.7 134019.2 Inf
## 2 92.54 Buy Now 0 142151.6 136167.5 Inf
## 3 59.14 Buy Now 0 147623.7 137857.1 Inf
## 4 33.48 Buy Now 0 156352.8 140018.5 Inf
## 5 35.62 Buy Now 0 159874.5 142799.9 Inf
## 6 55.09 Buy Now 0 159285.8 145626.0 Inf
## AvgMOTurnoverRatio IDXSector IDXIndustry Candle
## 1 NA IDX Index Hanging Man
## 2 NA IDX Index Hanging Man
## 3 NA IDX Index Hanging Man
## 4 NA IDX Index Hanging Man
## 5 NA IDX Index Hanging Man
## 6 NA IDX Index Hanging Man
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