Strategi ini menggunakan beberapa indikator teknis untuk perdagangan kuantitatif. Ini terutama menggunakan indikator termasuk EMA crossover, SuperTrend, RSI, MACD dll untuk menghasilkan sinyal perdagangan.
Logika inti didasarkan pada aspek berikut:
EMA Crossover: Menghitung EMA1 cepat dan EMA2 lambat. Ketika EMA1 crossover di atas EMA2, menghasilkan sinyal beli. Ketika EMA1 crossover di bawah EMA2, menghasilkan sinyal jual.
VWMA: Menghitung VWMA. Ketika penyambungan harga dekat di atas VWMA, itu adalah sinyal beli. Ketika penyambungan harga dekat di bawah VWMA, itu adalah sinyal jual.
SuperTrend: Menghitung band atas dan band bawah berdasarkan ATR dan parameter multiplier. Menentukan arah tren. Membuat sinyal beli dalam tren naik dan sinyal jual dalam tren turun.
RSI: Menghitung indikator RSI. Ketika RSI berada di atas tingkat overbought, itu adalah sinyal jual. Ketika RSI berada di bawah tingkat oversold, itu adalah sinyal beli.
MACD: Menghitung MACD, garis sinyal dan histogram. Ketika garis MACD menyeberang di atas garis sinyal, menghasilkan beli. Ketika garis MACD menyeberang di bawah garis sinyal, menghasilkan jual.
Strategi ini mengadopsi logika
Strategi ini menggabungkan beberapa indikator untuk menyaring pasar dan menghindari sinyal palsu.
Kombinasi beberapa indikator menghindari kesalahan indikator tunggal.
Kombinasi indikator tren dan osilator menangkap keuntungan ekstra selama tren.
Penggunaan logika stop loss membatasi kerugian maksimum per perdagangan.
Logika Martingale memberikan kesempatan untuk memecahkan bahkan setelah kerugian.
Risiko utama:
Kombinasi indikator yang terlalu konservatif dapat kehilangan beberapa kesempatan perdagangan.
Logika Martingale dapat menyebabkan kerugian yang signifikan.
Penggunaan stop loss yang tidak tepat dapat menyebabkan stop out yang tidak perlu.
Pengaturan parameter yang tidak benar dapat menyebabkan terlalu banyak sinyal palsu.
Strategi ini dapat dioptimalkan lebih lanjut dalam aspek berikut:
Mengevaluasi kombinasi indikator yang berbeda, menentukan bobot.
Uji parameter yang berbeda untuk setiap indikator.
Tambahkan logika stop loss adaptif.
Tambahkan mekanisme ukuran posisi dinamis.
Manfaatkan pembelajaran mesin untuk mengoptimalkan parameter dan model.
Secara singkat, ini adalah strategi perdagangan kuantitatif yang sangat praktis. Ini menggabungkan kekuatan beberapa indikator teknis klasik untuk analisis pasar. Penyesuaian parameter lebih lanjut dan optimasi model dapat menghasilkan hasil yang lebih baik.
/*backtest start: 2023-12-01 00:00:00 end: 2023-12-31 23:59:59 period: 1h basePeriod: 15m exchanges: [{"eid":"Futures_Binance","currency":"BTC_USDT"}] */ //@version=5 strategy(title='Pinku Buy', overlay=true) fromMonth = input.int(defval=1, title='From Month', minval=1, maxval=12) fromDay = input.int(defval=1, title='From Day', minval=1, maxval=31) fromYear = input.int(defval=2021, title='From Year', minval=1970) thruMonth = input.int(defval=1, title='Thru Month', minval=1, maxval=12) thruDay = input.int(defval=1, title='Thru Day', minval=1, maxval=31) thruYear = input.int(defval=2112, title='Thru Year', minval=1970) showDate = input(defval=true, title='Show Date Range') start = timestamp(fromYear, fromMonth, fromDay, 00, 00) finish = timestamp(thruYear, thruMonth, thruDay, 23, 59) window() => true // ema crossover length1 = input.int(10) length2 = input.int(20) ema1 = ta.ema(close , length1) ema2 = ta.ema(close , length2) //vwap VWAP = ta.vwap(hlc3) plot(VWAP, color=color.new(color.red, 0), linewidth=3) buy_1 = close > VWAP sell_1 = close < VWAP //vwma len = input.int(20, 'VWMA_len', minval=1) ma = ta.vwma(close, len) plot(ma, color=color.new(color.navy, 0), linewidth=2) buy_2 = close > ma sell_2 = close < ma //super trend //inputs Periods = input(title='STR Period', defval=22) Source = input(hl2, title='Source') Multiplier = input.float(title='STR Multiplier', step=0.1, defval=5.0) //Compute ATR Levels atr = ta.atr(Periods) //Creating Upper Channel up = Source - Multiplier * atr up1 = nz(up[1], up) up := close[1] > up1 ? math.max(up, up1) : up //Creating Down Channel dn = Source + Multiplier * atr dn1 = nz(dn[1], dn) dn := close[1] < dn1 ? math.min(dn, dn1) : dn //Compute the Trend Stream +1/-1 trend = 1 trend := nz(trend[1], trend) trend := trend == -1 and close > dn1 ? 1 : trend == 1 and close < up1 ? -1 : trend //Create Stoploss for Longs upPlot = plot(trend == 1 ? up : na, title='Up Trend', style=plot.style_linebr, linewidth=2, color=color.new(color.green, 0)) //buy_a = close > upPlot //Buy Signal buy_3 = trend == 1 and trend[1] == -1 plotshape(buy_3 ? up : na, title='Go Long', location=location.absolute, style=shape.circle, size=size.tiny, color=color.new(color.green, 0)) dnPlot = plot(trend == 1 ? na : dn, title='Down Trend', style=plot.style_linebr, linewidth=2, color=color.new(color.red, 0)) //sell_a = close < dnPlot //Sell Signal sell_3 = trend == -1 and trend[1] == 1 plotshape(sell_3 ? dn : na, title='Go Short', location=location.absolute, style=shape.circle, size=size.tiny, color=color.new(color.red, 0)) // //paraboloic sar // start = input(0.02) // increment = input(0.02) // maximum = input(0.2, 'Max Value') // out = ta.sar(start, increment, maximum) buy_4 = ema1 > ema2 //buy_4 = buy1 and not buy1[1] //plotshape(buy_4 , color = color.green , text = "Buy" , location = location.belowbar , textcolor = color.white , style = shape.labelup , size = size.small) sell_4 = close < ema2 //sell_4 = sell1 and not sell1[1] //plotshape(sell_4, color = color.red , text = "Sell" , location = location.abovebar , textcolor = color.white , style = shape.labeldown , size = size.small) plot(ema1, 'ema1', color=color.new(color.green, 0), linewidth=2) plot(ema2, 'ema2', color=color.new(color.red, 0), linewidth=2) // rsi lenr = input(14, title='Rsi Period') rs = ta.rsi(close, lenr) over_sold = input(44) over_bought = input(56) buy_5 = rs > over_bought sell_5 = rs < over_sold // macd slow_len_macd = input.int(12) fast_len_macd = input.int(26) signal_len_macd = input.int(9) ema3 = ta.ema(close , slow_len_macd) ema4 = ta.ema(close , fast_len_macd) ema5 = ta.ema(close , signal_len_macd) buy_6 = ema5 > ema4 sell_6 = ema5 < ema4 // adx adxlen = input(14, title="ADX Smoothing") dilen = input(14, title="DI Length") dirmov(len) => up = ta.change(high) down = -ta.change(low) plusDM = na(up) ? na : (up > down and up > 0 ? up : 0) minusDM = na(down) ? na : (down > up and down > 0 ? down : 0) truerange = ta.rma(ta.tr, len) plus = fixnan(100 * ta.rma(plusDM, len) / truerange) minus = fixnan(100 * ta.rma(minusDM, len) / truerange) [plus, minus] adx(dilen, adxlen) => [plus, minus] = dirmov(dilen) sum = plus + minus adx = 100 * ta.rma(math.abs(plus - minus) / (sum == 0 ? 1 : sum), adxlen) sig = adx(dilen, adxlen) //plot(sig, color=color.red, title="ADX") adx_Greater_than = input.int(25) signal = sig > adx_Greater_than // volume ema volume_ema = input.int(10) vema = ta.ema(volume,volume_ema) signal_2 = volume > vema //define buy sell g = buy_1 and buy_2 and buy_4 and trend == 1 and buy_5 and buy_6 and signal and signal_2 and window() r = sell_1 and sell_2 and sell_4 and trend == -1 and sell_5 and sell_6 and signal and signal_2 and window() rg = 0 rg := r ? 1 : g ? 2 : nz(rg[1]) buy11 = 0 buy11 := r ? 0 : g ? 1 : nz(buy11[1]) sell11 = 0 sell11 := r ? 1 : g ? 0 : nz(sell11[1]) buy = buy11 and not buy11[1] sell = sell11 and not sell11[1] multiple_signals = input(true) if multiple_signals buy := g and not g[1] and window() sell := r and not r[1] and window() sell else buy := buy and window() sell := sell and window() sell //plotshape(long , color = color.green , text = "Buy" , location = location.belowbar , textcolor = color.white , style = shape.labelup , size = size.small) //plotshape(short , color = color.red , text = "Sell" , location = location.abovebar , textcolor = color.white , style = shape.labeldown , size = size.small) Stop = input(0.5, title='StopLoss') / 100 ProfitPerc = input(defval=1.5, title='Profit') / 100 rev = input(1024,title = "Reverse Limit") Averaging_position_ = input(true , title = "Averaging position ? ") qn = 1 qn := nz(qn[1]) long_short = 0 long_last = buy and (nz(long_short[1]) == 0 or nz(long_short[1]) == -1) short_last = sell and (nz(long_short[1]) == 0 or nz(long_short[1]) == 1) long_short := long_last ? 1 : short_last ? -1 : long_short[1] long_entered = false long_entered := long_entered[1] short_entered = false short_entered := short_entered[1] longPrice = ta.valuewhen(long_last, close, 0) shortPrice = ta.valuewhen(short_last, close, 0) longStop = longPrice * (1 - Stop) shortStop = shortPrice * (1 + Stop) longTake = longPrice * (1 + ProfitPerc) shortTake = shortPrice * (1 - ProfitPerc) plot(long_short == 1 ? longStop : na, style=plot.style_linebr, color=color.new(color.red, 0), linewidth=1, title='Long Fixed SL') plot(long_short == -1 ? shortStop : na, style=plot.style_linebr, color=color.new(color.red, 0), linewidth=1, title='Short Fixed SL') plot(long_short == 1 ? longTake : na, style=plot.style_linebr, color=color.new(color.navy, 0), linewidth=1, title='Long Fixed TP') plot(long_short == -1 ? shortTake : na, style=plot.style_linebr, color=color.new(color.navy, 0), linewidth=1, title='Short Fixed TP') longBar1 = ta.barssince(long_last) longBar2 = longBar1 >= 1 ? true : false shortBar1 = ta.barssince(short_last) shortBar2 = shortBar1 >= 1 ? true : false longSLhit = long_short == 1 and longBar2 and low < longStop if long_entered and sell longSLhit := true longSLhit plotshape(longSLhit and not(sell and not short_entered and long_entered), style=shape.labelup, location=location.belowbar, color=color.new(color.gray, 0), size=size.tiny, title='Stop Loss', text='Long SL', textcolor=color.new(color.white, 0)) shortSLhit = long_short == -1 and shortBar2 and high > shortStop if short_entered and buy shortSLhit := true shortSLhit plotshape(shortSLhit and not(buy and not long_entered and short_entered), style=shape.labeldown, location=location.abovebar, color=color.new(color.gray, 0), size=size.tiny, title='Stop Loss', text='Short SL', textcolor=color.new(color.white, 0)) longTPhit = long_short == 1 and longBar2 and high > longTake plotshape(longTPhit, style=shape.labeldown, location=location.abovebar, color=color.new(color.navy, 0), size=size.tiny, title='Target', text='Long TP', textcolor=color.new(color.white, 0)) shortTPhit = long_short == -1 and shortBar2 and low < shortTake plotshape(shortTPhit, style=shape.labelup, location=location.belowbar, color=color.new(color.navy, 0), size=size.tiny, title='Target', text='Short TP', textcolor=color.new(color.white, 0)) long_short := (long_short == 1 or long_short == 0) and longBar2 and (longSLhit or longTPhit) ? 0 : (long_short == -1 or long_short == 0) and shortBar2 and (shortSLhit or shortTPhit) ? 0 : long_short if(shortSLhit or longSLhit or (long_entered[1] and sell) or (short_entered[1] and buy )) qn := qn*2 if(longTPhit or shortTPhit or qn > rev) qn := 1 if Averaging_position_ qn := 1 plotshape(buy and not long_entered, color=color.new(color.green, 0), style=shape.labelup, text='Buy', textcolor=color.new(color.white, 0), location=location.belowbar) plotshape(sell and not short_entered, color=color.new(color.red, 0), style=shape.labeldown, text='Sell', textcolor=color.new(color.white, 0), location=location.abovebar) // plotshape(buy and not(long_entered) and (short_entered), color = color.green , style = shape.labelup , text = "FA Buy" , textcolor = color.white , location = location.belowbar) // plotshape(sell and not(short_entered) and (long_entered), color = color.red , style = shape.labeldown , text = "FA Sell" , textcolor = color.white , location = location.abovebar) // alertcondition(condition=buy and not(long_entered) and (short_entered), title="Fully Algo Buy") // alertcondition(condition=sell and not(short_entered) and (long_entered), title="Fully Algo sell") alertcondition(condition=buy and not long_entered, title='Buy') alertcondition(condition=sell and not short_entered, title='Sell') if long_last long_entered := true short_entered := false short_entered if short_last short_entered := true long_entered := false long_entered alertcondition(condition=longSLhit and not(sell and not short_entered and long_entered), title='Long SL') alertcondition(condition=shortSLhit and not(buy and not long_entered and short_entered), title='Short SL') alertcondition(condition=longTPhit, title='Long TP') alertcondition(condition=shortTPhit, title='Short TP') if longSLhit or longTPhit long_entered := false long_entered if shortSLhit or shortTPhit short_entered := false short_entered // if buy // strategy.entry('buy', strategy.long) // strategy.exit('exit', 'buy', limit=longTake, stop=longStop) // if sell // strategy.entry('sell', strategy.short) // strategy.exit('exit', 'sell', limit=shortTake, stop=shortStop) if(buy) strategy.entry("buy",strategy.long,qty = qn) strategy.exit("Stop","buy",limit = longTake,stop = longStop) if(sell) strategy.entry("sell",strategy.short,qty = qn) strategy.exit("Stop","sell",limit = shortTake,stop = shortStop) strategy.close("buy",when = longTPhit or sell or longSLhit, comment = "Target") strategy.close("sell",when = shortSLhit or shortTPhit or buy , comment = "Stop Loss") strategy.cancel("buy",when = longTPhit or sell or longSLhit) strategy.cancel("sell",when = shortSLhit or shortTPhit or buy )