Strategi ini menggabungkan beberapa penunjuk corak bawah untuk mengenal pasti peluang pembalikan utama, mengamalkan trend mengikuti strategi stop loss untuk menyasarkan keuntungan melebihi stop loss.
Strategi ini terutamanya menggunakan penunjuk berikut untuk menentukan pembalikan bawah:
Penunjuk Sensitiviti Bawah (Noro
Indeks Kepastian Volition (CVI): Menentukan perubahan sentimen bullish/bearish.
Isyarat Siklus Akhir (UCS): Mengesan oversold di bawah purata bergerak.
Indeks Kekuatan Relatif (RSI): Mengenal pasti keadaan oversold.
Gabungan corak: Termasuk candlestick, pin bar dan corak bawah yang lain.
Strategi ini menggabungkan beberapa penunjuk bawah, menghasilkan isyarat beli apabila bilangan corak bawah memenuhi tetapan parameter. Untuk menapis pecah palsu, RSI juga digunakan untuk mencetuskan beli hanya dalam keadaan oversold.
Pengguna boleh menyesuaikan penggunaan dan parameter setiap penunjuk bawah, memberikan fleksibiliti yang tinggi.
Keakuratan yang lebih baik menggunakan pelbagai penunjuk
Parameter yang boleh disesuaikan sesuai dengan produk yang berbeza
Penapis SMA menghalang pembelian atas
Lilin merah pilihan hanya mengurangkan risiko
Isyarat membolehkan pemantauan masa nyata
Pelbagai penunjuk mungkin terlepas bahagian bawah
corak bawah tidak selalu berbalik
Perlu menonton jika jumlah menyokong pembalikan
Mengoptimumkan parameter untuk produk yang berbeza
Tambah saiz kedudukan kepada asas kos yang lebih rendah
Melaksanakan stop loss untuk mengunci keuntungan
Strategi ini secara berkesan mengenal pasti bahagian bawah dengan pelbagai penunjuk, mengawal risiko dengan trend selepas stop loss. Tetapi sokongan jumlah memerlukan pemantauan. Pengguna boleh mengoptimumkan parameter mengikut ciri produk.
/*backtest start: 2022-10-11 00:00:00 end: 2023-10-17 00:00:00 period: 1d basePeriod: 1h exchanges: [{"eid":"Futures_Binance","currency":"BTC_USDT"}] */ // the original indicator is Noro's BottomSensivity v0.6 //@version=4 strategy("Noro's BottomSensivity v0.6 strategy + rsi + Alarm", shorttitle="Bottom 0.6 StRsiAlarm", overlay=true) overSold = input(35) overBought = input(70) botsens = input(defval = 3, minval = 1, maxval = 4, title = "Bottom-Sensivity") smalen = input(defval = 25, minval = 20, maxval = 200, title = "SMA Length") bars = input(defval = 3, minval = 2, maxval = 4, title = "Bars of Locomotive") useloc = input(true, title = "Use bottom-pattern Locomotive?") usepin = input(true, title = "Use bottom-pattern Pin-bar?") usecvi = input(true, title = "Use bottom-indicator CVI?") useucs = input(true, title = "Use bottom-indicator UCS?") usevix = input(true, title = "Use bottom-indicator WVF?") usersi = input(true, title = "Use bottom-indicator RSI?") usered = input(false, title = "Only red candles?") usesma = input(true, title = "Use SMA Filter?") showsma = input(false, title = "Show SMA Filter?") //SMA Filter sma = sma(close, smalen) colsma = showsma == true ? red : na plot(sma, color = colsma) //VixFix method //Start of ChrisMoody's code pd = 22 bbl = 20 mult = 2 lb = 50 ph = .85 pl = 1.01 hp = false sd = false wvf = ((highest(close, pd)-low)/(highest(close, pd)))*100 sDev = mult * stdev(wvf, bbl) midLine = sma(wvf, bbl) lowerBand = midLine - sDev upperBand = midLine + sDev rangeHigh = (highest(wvf, lb)) * ph rangeLow = (lowest(wvf, lb)) * pl //End of ChrisMoody's code //Locomotive mmethod bar = close > open ? 1 : close < open ? -1 : 0 locob = bar == 1 and bar[1] == -1 and bar[2] == -1 and (bar[3] == -1 or bars < 3) and (bar[4] == -1 or bars < 4) ? 1 : 0 //PIN BAR body = abs(close - open) upshadow = open > close? (high - open) : (high - close) downshadow = open > close ? (close - low) : (open - low) pinbar = open[1] > close[1] ? (body[1] > body ? (downshadow > 0.5 * body ? (downshadow > 2 * upshadow ? 1 : 0 ) : 0 ) : 0 ) : 0 //CVI method //Start of LazyBear's code ValC=sma(hl2, 3) bull=-.51 bear=.43 vol=sma(atr(3), 3) cvi = (close-ValC) / (vol*sqrt(3)) cb= cvi <= bull ? green : cvi >=bear ? red : cvi > bull ? blue : cvi < bear ? blue : na bull1 = cvi <= bull bear1 = cvi >= bear bull2 = bull1[1] and not bull1 bear2 = bear1[1] and not bear1 //End of LazyBear's code //UCS method //Start of UCS's code ll = lowest(low, 5) hh = highest(high, 5) diff = hh - ll rdiff = close - (hh+ll)/2 avgrel = ema(ema(rdiff,3),3) avgdiff = ema(ema(diff,3),3) mom = ((close - close[3])/close[3])*1000 SMI = avgdiff != 0 ? (avgrel/(avgdiff/2)*100) : 0 SMIsignal = ema(SMI,3) ucslong = SMI < -35 and mom > 0 and mom[1] < 0 ? 1 : 0 //End of UCS's code //RSI method //Chris Moody's code up = rma(max(change(close), 0), 2) down = rma(-min(change(close), 0), 2) rsi = down == 0 ? 100 : up == 0 ? 0 : 100 - (100 / (1 + up / down)) rsib = rsi < 10 ? 1 : 0 //Chris Moody's code //sum locobot = useloc == false ? 0 : locob vixfixbot = usevix == false ? 0 : wvf >= upperBand or wvf >= rangeHigh ? 1 : 0 cvibot = usecvi == false ? 0 : bull2 == true ? 1 : 0 ucsbot = useucs == false ? 0 : ucslong == 1 ? 1 : 0 rsibot = usersi == false ? 0 : rsib pinbot = usepin == false ? 0 : pinbar score = vixfixbot + locobot + cvibot + ucsbot + rsibot + pinbot //arrows bottom = usered == false ? usesma == false ? score >= botsens ? 1 : 0 : high < sma and score >= botsens ? 1 : 0 : usesma == false ? score >= botsens and close < open ? 1 : 0 : high < sma and score >= botsens and close < open ? 1 : 0 plotarrow(bottom == 1 ? 1 : na, title="Buy arrow", colorup=lime, maxheight=60, minheight=50, transp=0) data = bottom == 1 plotchar(data, char=" ", text="BUY!", location=location.belowbar, color=green, size=size.small) //Market buy and exit strategy.entry("BUY!", strategy.long, when =(bottom == 1) and(rsi(close,14)<overSold)) strategy.close("BUY!", when = (crossunder(rsi(close,14), overBought))) alarm = bottom == 1 and(rsi(close,14)<overSold) alertcondition(alarm == 1,title="BUY+RSI",message="BUY+RSI")