Bagaimana Performa dihitung pada Penyaring ?
//@version=5
indicator(title="Screener Performance")
rateOfreturn(ref) =>
if ref < 0 and close > 0
na
else
(close - ref) * 100 / math.abs(ref)
rr(bb, maxbarsback) =>
open[maxbarsback] * 0 + bb == 0 ? na : rateOfreturn(open[bb])
perfYTD() =>
var lastYearOpen = open
if year > year[1]
lastYearOpen := open
rateOfreturn(lastYearOpen)
fastSearchTimeIndex(x, maxbarsback) =>
mid = 0 * time[maxbarsback]
right = math.min(bar_index, maxbarsback)
left = 0
if time < x
0
else
for i = 0 to 9 by 1
mid := math.ceil((left + right) / 2)
if left == right
break
else if time[mid] < x
right := mid
continue
else if time[mid] > x
left := mid
continue
else
break
mid
week1 = 7
week_ago = timenow - 1000 * 60 * 60 * 24 * week1
week_ago_this_bar = time - 1000 * 60 * 60 * 24 * week1
countOfBarsWeekAgo = fastSearchTimeIndex(week_ago, week1)
month1 = 30
month_ago = timenow - 1000 * 60 * 60 * 24 * month1
countOfBars1MonthAgo = fastSearchTimeIndex(month_ago, month1)
month3 = 90
months3_ago = timenow - 1000 * 60 * 60 * 24 * month3
countOfBars3MonthAgo = fastSearchTimeIndex(months3_ago, month3)
month6 = 180
months6_ago = timenow - 1000 * 60 * 60 * 24 * month6
countOfBars6MonthAgo = fastSearchTimeIndex(months6_ago, month6)
years1 = 365
oneYearAgo = timenow - 1000 * 60 * 60 * 24 * years1
barsCountOneYear = fastSearchTimeIndex(oneYearAgo, years1)
years3 = 365 * 3
years3_ago = timenow - 1000 * 60 * 60 * 24 * years3
countOfBars3YearAgo = fastSearchTimeIndex(years3_ago, years3)
years5 = 365 * 4 + 366
years5_ago = timenow - 1000 * 60 * 60 * 24 * years5
countOfBars5YearAgo = fastSearchTimeIndex(years5_ago, years5)
years10 = (365 * 4 + 366) * 2
years10_ago = timenow - 1000 * 60 * 60 * 24 * years10
countOfBars10YearAgo = fastSearchTimeIndex(years10_ago, years10)
perfYTD = perfYTD()
plot((close - open[4]) / open[4] * 100, title='Perf.5D')
plot(rr(countOfBarsWeekAgo, week1), title='Perf.W')
plot(rr(countOfBars1MonthAgo, month1), title='Perf.1M')
plot(rr(countOfBars3MonthAgo, month3), title='Perf.3M')
plot(rr(countOfBars6MonthAgo, month6), title='Perf.6M')
plot(rr(barsCountOneYear, years1), title='Perf.Y')
plot(rr(countOfBars3YearAgo, years3), title='Perf.3Y')
plot(rr(countOfBars5YearAgo, years5), title='Perf.5Y')
plot(rr(countOfBars10YearAgo, years10), title='Perf.10Y')
plot(perfYTD, title='Perf.YTD')
Catatan: nilai script ini berbeda antara riwayat dan saat ini dikarenakan timenow, lihat https://www.tradingview.com/pine-script-docs/en/v4/essential/Indicator_repainting.html
Untuk tampilan visual, anda dapat menambahkan script ini ke chart anda melalui Pine Editor menggunakan chart dengan kerangka waktu harian. Indikator akan muncul pada chart, plot akan menunjukkan nilai untuk setiap tipe performa.
% Perubahan vs % Performa:
Katakanlah hari ini adalah hari Selasa. Perubahan Mingguan menghitung selisih antara penutupan saat ini (Selasa) dan penutupan dari minggu lalu (harga penutupan hari Jumat sebelumnya). Performa Mingguan menghitung selisih antara penutupan saat ini (Selasa) dan penutupan dari seminggu yang lalu tepatnya (Selasa sebelumnya).