Strategi backtest Prime Number Bands menilai tren pasar dengan mengidentifikasi bilangan prima tertinggi dan terendah di sekitar harga dan memetakan dua deret bilangan prima ini sebagai band.
Risiko dapat dihindari dengan menyesuaikan parameter dengan benar, menggabungkan dengan indikator lain, dll.
Strategi backtest band bilangan prima secara keseluruhan adalah strategi yang sangat inovatif dengan nilai praktis. Ini menggunakan karakteristik bilangan prima untuk menangkap keacakan pasar sambil juga mempertimbangkan keterlambatan harga dalam mengidentifikasi tren, sangat berharga untuk penelitian. Langkah selanjutnya adalah mengoptimalkan dari aspek peningkatan kualitas sinyal, memperluas jenis bilangan acak, optimasi otomatis, dll untuk membuat efek strategi lebih luar biasa.
/*backtest start: 2023-12-08 00:00:00 end: 2024-01-07 00:00:00 period: 3h basePeriod: 15m exchanges: [{"eid":"Futures_Binance","currency":"BTC_USDT"}] */ //@version=2 //////////////////////////////////////////////////////////// // Copyright by HPotter v1.0 27/03/2018 // Determining market trends has become a science even though a high number // or people still believe it’s a gambling game. Mathematicians, technicians, // brokers and investors have worked together in developing quite several // indicators to help them better understand and forecast market movements. // The Prime Number Bands indicator was developed by Modulus Financial Engineering // Inc. This indicator is charted by indentifying the highest and lowest prime number // in the neighborhood and plotting the two series as a band. // // You can change long to short in the Input Settings // WARNING: // - For purpose educate only // - This script to change bars colors. //////////////////////////////////////////////////////////// PrimeNumberUpBand(price, percent) => res = 0 res1 = 0 for j = price to price + (price * percent / 100) res1 := j for i = 2 to sqrt(price) res1 := iff(j % i == 0 , 0, j) if res1 == 0 break if res1 > 0 break res := iff(res1 == 0, res[1], res1) res PrimeNumberDnBand(price, percent) => res = 0 res2 = 0 for j = price to price - (price * percent / 100) res2 := j for i = 2 to sqrt(price) res2 := iff(j % i == 0 , 0, j) if res2 == 0 break if res2 > 0 break res := iff(res2 == 0, res[1], res2) res strategy(title="Prime Number Bands Backtest", overlay = true) percent = input(5, minval=0.01, step = 0.01, title="Tolerance Percentage") Length = input(5, minval=1) srcUp = input(title="Source Up Band", defval=high) srcDn = input(title="Source Down Band", defval=low) reverse = input(false, title="Trade reverse") xPNUB = PrimeNumberUpBand(srcUp, percent) xPNDB = PrimeNumberDnBand(srcDn, percent) xHighestPNUB = highest(xPNUB, Length) xLowestPNUB = lowest(xPNDB, Length) pos = iff(close > xHighestPNUB[1], 1, iff(close < xLowestPNUB[1], -1, nz(pos[1], 0))) possig = iff(reverse and pos == 1, -1, iff(reverse and pos == -1, 1, pos)) if (possig == 1) strategy.entry("Long", strategy.long) if (possig == -1) strategy.entry("Short", strategy.short) barcolor(possig == -1 ? red: possig == 1 ? green : blue ) plot(xHighestPNUB, color=red, title="PNUp") plot(xLowestPNUB, color=green, title="PNDn")