Este é o meu BTCUSDTPERP 15 min bot Os melhores resultados são no BTCUSDTPERP no binancefutures Os resultados dependem de indicadores de volume específicos que funcionam melhor no binancefutures
Os bots de 15 minutos são muito rápidos, é difícil encontrar uma boa configuração, por causa de 15 minutos de backtesting que pelo menos cerca de 3-4 meses.
Este bot é específico tem muito alta % de negócios lucrativos. lucro líquido também é muito bom. No entanto 15min bots são extremamente difícil de usar no longo prazo, então eu fiz como deflaut configurações como eu posso.
Então... Este bot usa 11 indicadores diferentes:
ADX
Filtro de intervalo
SAR
RSI
TWAP
JMA
MACD
VOLUME DELTA
Peso do volume
MA e o último para os melhores resultados nos gráficos qucik (15min) decidi acrescentar:
STOCH
ADX - - faz uma visão sólida para a tendência sem qualquer fraude: longo apenas em barras verdes, curtos apenas em barras vermelhas.
Filtro de intervalo - este indicador é para uma melhor visão das tendências, definir tendências, que é importante para todas as armadilhas touro/urso que ajuda muito por causa das tendências muito variáveis.
SAR - O SAR parabólico é um indicador técnico usado para determinar a direção do preço de um ativo, bem como chamar a atenção para quando a direção do preço está mudando.
O valor do RSI ajuda a estratégia a parar a negociação no momento certo.
TWAP - tem a mesma tarefa que o filtro Range, é apenas para melhor visualização de tendências, definir tendências.
JMA - O indicador Jurik Moving Average é uma das maneiras mais seguras de suavizar as curvas de preço dentro de um mínimo de atraso de tempo. O indicador oferece aos comerciantes de moeda um dos melhores filtros de preço durante fortes movimentos de preços. Neste momento, quando a ação do preço do bitcoin é tão forte, este indicador é necessário.
O MACD - Moving Average Convergence Divergence (MACD) é um indicador de momento que mostra a relação entre duas médias móveis do preço de um título. Hoje em dia, o MACD, tal como a JMA, é necessário para fazer um bot lucrativo.
Volume Delta - Uma abordagem cumulativa de Volume Delta baseada no Indicador de Balanço de Touro e Urso de Vadim Gimelfarb publicado na edição de Outubro de 2003 da revista S&C. Ajuste o comprimento da média móvel de acordo com as suas necessidades (símbolo, prazo, etc.)
Volume Weight - é o indicador mais importante para a estratégia, para evitar negociações abertas em gráfico plano, novas negociações são abertas após um volume forte barras.
MA 5-10-30 - como os anteriores este é para uma melhor visão das tendências, e definir corretamente as tendências, também Speed_MA estão usando para prever a ação futura do preço.
O stochastic-stock é útil para prever inversões de tendência.
Aproveita.
backtest
/*backtest start: 2022-05-20 00:00:00 end: 2022-06-18 23:59:00 period: 45m basePeriod: 5m exchanges: [{"eid":"Futures_Binance","currency":"BTC_USDT"}] */ // This source code is subject to the terms of the Mozilla Public License 2.0 at https://mozilla.org/MPL/2.0/ // © wielkieef //@version=4 strategy("15MIN BTCUSDTPERP BOT", overlay=true, pyramiding=1,initial_capital = 10000, default_qty_type= strategy.percent_of_equity, default_qty_value = 100, calc_on_order_fills=false, slippage=0,commission_type=strategy.commission.percent,commission_value=0) //SOURCE ================================================================================================================================================================================================================================================================== src = input(ohlc4) // INPUTS ================================================================================================================================================================================================================================================================== //ADX ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- Act_ADX = input(true, title = "AVERAGE DIRECTIONAL INDEX", type = input.bool) ADX_options = input("MASANAKAMURA", title = "ADX OPTION", options = ["CLASSIC", "MASANAKAMURA"]) ADX_len = input(11, title = "ADX LENGTH", type = input.integer, minval = 1) th = input(12, title = "ADX THRESHOLD", type = input.float, minval = 0, step = 0.5) //Range Filter---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- length0 = input(13, title="Range Filter lenght"),mult = input(1, title="Range Filter mult") //SAR------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- start = input(title="SAR Start", type=input.float, step=0.001, defval=0) increment = input(title="SAR Increment", type=input.float, step=0.001, defval=0.006) maximum = input(title="SAR Maximum", type=input.float, step=0.01, defval=1) width = input(title="SAR Point Width", type=input.integer, minval=1, defval=1) //RSI--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- len_3 = input(70, minval=1, title="RSI lenght") src_3 = input(close, "RSI Source") //TWAP Trend -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- smoothing = input(title="TWAP Smoothing", defval= 10) resolution = input("0", "TWAP Timeframe") //JMA------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ inp = input(title="JMA Source", type=input.source, defval=close) reso = input(title="JMA Resolution", type=input.resolution, defval="") rep = input(title="JMA Allow Repainting?", type=input.bool, defval=false) src0 = security(syminfo.tickerid, reso, inp[rep ? 0 : barstate.isrealtime ? 1 : 0])[rep ? 0 : barstate.isrealtime ? 0 : 1] lengths = input(title="JMA Length", type=input.integer, defval=4, minval=1) //MACD------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ fast_length = input(title="MACD Fast Length", type=input.integer, defval=25) slow_length = input(title="MACD Slow Length", type=input.integer, defval=50) signal_length = input(title="MACD Signal Smoothing", type=input.integer, minval = 1, maxval = 50, defval = 9) //Volume Delta ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- periodMa = input(title="Delta Length", minval=1, defval=45) //Volume weight------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ maLength = input(title="Volume Weight Length", type=input.integer, defval=100, minval=1) maType = input(title="Volume Weight Type", type=input.string, defval="SMA", options=["EMA", "SMA", "HMA", "WMA", "DEMA"]) rvolTrigger = input(title="Volume To Trigger Signal", type=input.float, defval=1.5, step=0.1 , minval=0.1) //MA---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- length = input(51, minval=1, title="MA Length") matype = input(5, minval=1, maxval=5, title="AvgType") //Momentum------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ tmolength = input(45, title="Momentum Length") calcLength = input(12, title="Momentum Calc length") smoothLength = input(9, title="Momentum Smooth length") //INDICATORS ============================================================================================================================================================================================================================================================== //ADX---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- calcADX(_len) => up = change(high) down = -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 = rma(tr, _len) _plus = fixnan(100 * rma(plusDM, _len) / truerange) _minus = fixnan(100 * rma(minusDM, _len) / truerange) sum = _plus + _minus _adx = 100 * rma(abs(_plus - _minus) / (sum == 0 ? 1 : sum), _len) [_plus,_minus,_adx] calcADX_Masanakamura(_len) => SmoothedTrueRange = 0.0 SmoothedDirectionalMovementPlus = 0.0 SmoothedDirectionalMovementMinus = 0.0 TrueRange = max(max(high - low, abs(high - nz(close[1]))), abs(low - nz(close[1]))) DirectionalMovementPlus = high - nz(high[1]) > nz(low[1]) - low ? max(high - nz(high[1]), 0) : 0 DirectionalMovementMinus = nz(low[1]) - low > high - nz(high[1]) ? max(nz(low[1]) - low, 0) : 0 SmoothedTrueRange := nz(SmoothedTrueRange[1]) - (nz(SmoothedTrueRange[1]) /_len) + TrueRange SmoothedDirectionalMovementPlus := nz(SmoothedDirectionalMovementPlus[1]) - (nz(SmoothedDirectionalMovementPlus[1]) / _len) + DirectionalMovementPlus SmoothedDirectionalMovementMinus := nz(SmoothedDirectionalMovementMinus[1]) - (nz(SmoothedDirectionalMovementMinus[1]) / _len) + DirectionalMovementMinus DIP = SmoothedDirectionalMovementPlus / SmoothedTrueRange * 100 DIM = SmoothedDirectionalMovementMinus / SmoothedTrueRange * 100 DX = abs(DIP-DIM) / (DIP+DIM)*100 adx = sma(DX, _len) [DIP,DIM,adx] [DIPlusC,DIMinusC,ADXC] = calcADX(ADX_len) [DIPlusM,DIMinusM,ADXM] = calcADX_Masanakamura(ADX_len) DIPlus = ADX_options == "CLASSIC" ? DIPlusC : DIPlusM DIMinus = ADX_options == "CLASSIC" ? DIMinusC : DIMinusM ADX = ADX_options == "CLASSIC" ? ADXC : ADXM ADX_color = DIPlus > DIMinus and ADX > th ? color.green : DIPlus < DIMinus and ADX > th ? color.red : color.orange barcolor(color = Act_ADX ? ADX_color : na, title = "ADX") //Range Filter--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- out = 0., cma = 0., cts = 0. Var = variance(src,length0)*mult sma = sma(src,length0) secma = pow(nz(sma - cma[1]),2) sects = pow(nz(src - cts[1]),2) ka = Var < secma ? 1 - Var/secma : 0 kb = Var < sects ? 1 - Var/sects : 0 cma := ka*sma+(1-ka)*nz(cma[1],src) cts := kb*src+(1-kb)*nz(cts[1],src) css = cts > cma ? color.green : color.red a = plot(cts,"CTS",color.red,2,transp=0) b = plot(cma,"CMA",color.green,2,transp=0) fill(a,b,color=css,transp=80) rangegood = cts > cma rangebad = cts < cma //SAR------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- psar = sar(start, increment, maximum) dir = psar < close ? 1 : -1 psarColor = dir == 1 ? color.green : color.red psarPlot = plot(psar, title="PSAR", style=plot.style_circles, linewidth=width, color=psarColor, transp=0) var color longColor = color.green var color shortColor = color.red sargood = dir ==1 sarbad = dir ==-1 //RSI--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- up_3 = rma(max(change(src_3), 0), len_3) down_3 = rma(-min(change(src_3), 0), len_3) rsi_3 = down_3 == 0 ? 100 : up_3 == 0 ? 0 : 100 - (100 / (1 + up_3 / down_3)) rsiob = (rsi_3 < 70) rsios = (rsi_3 > 30) //TWAP Trend -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- res = resolution != "0" ? resolution : timeframe.period weight = barssince(change(security(syminfo.tickerid, res, time, lookahead=barmerge.lookahead_on))) price = 0. price:= weight == 0 ? src : src + nz(price[1]) twap = price / (weight + 1) ma_ = smoothing < 2 ? twap : sma(twap, smoothing) bullish = iff(smoothing < 2, src >= ma_, src > ma_) disposition = bullish ? color.lime : color.red basis = plot(src, "OHLC4", disposition, linewidth=1, transp=100) work = plot(ma_, "TWAP", disposition, linewidth=2, transp=20) fill(basis, work, disposition, transp=65) //JMA------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ jsa = (src0 + src0[lengths]) / 2 sig = src0 > jsa ? 1 : src0 < jsa ? -1 : 0 jsaColor = sig > 0 ? color.lime : sig < 0 ? color.red : color.orange plot(jsa, color=jsaColor, linewidth=2) jmagood = sig > 0 jmabad = sig < 0 //MACD------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ fast_ma = ema(src, fast_length) slow_ma = ema(src, slow_length) macd = fast_ma - slow_ma signal = sma(macd, signal_length) macdgood = macd > signal macdbad = macd < signal //Volume Delta ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- bullPower = iff(close < open, iff(close[1] < open, max(high - close[1], close - low), max(high - open, close - low)), iff(close > open, iff(close[1] > open, high - low, max(open - close[1], high - low)), iff(high - close > close - low, iff(close[1] < open, max(high - close[1], close - low), high - open), iff(high - close < close - low, iff(close[1] > open, high - low, max(open - close[1], high - low)), iff(close[1] > open, max(high - open, close - low), iff(close[1] < open, max(open - close[1], high - low), high-low)))))) bearPower = iff(close < open, iff(close[1] > open, max(close[1] - open, high - low), high - low), iff(close > open, iff(close[1] > open, max(close[1] - low, high - close), max(open - low, high - close)), iff(high - close > close - low, iff(close[1] > open, max(close[1] - open, high - low), high - low), iff(high - close < close - low, iff(close[1] > open, max(close[1] - low, high - close), open - low), iff(close[1] > open, max(close[1] - open, high - low), iff(close[1] < open, max(open - low, high - close), high - low)))))) bullVolume = (bullPower / (bullPower + bearPower)) * volume bearVolume = (bearPower / (bullPower + bearPower)) * volume delta = bullVolume - bearVolume cvd = cum(delta) cvdMa = sma(cvd, periodMa) deltagood = cvd > cvdMa deltabad = cvd < cvdMa //Volume weight------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ getMA0(length) => maPrice = ema(volume, length) if maType == "SMA" maPrice := sma(volume, length) if maType == "HMA" maPrice := hma(volume, length) if maType == "WMA" maPrice := wma(volume, length) if maType == "DEMA" e1 = ema(volume, length) e2 = ema(e1, length) maPrice := 2 * e1 - e2 maPrice ma = getMA0(maLength) rvol = volume / ma volumegood = volume > rvolTrigger * ma //MA---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- ma5 = sma(close, 5) ma10 = sma(close, 10) ma30 = sma(close, 30) magood = ma5 > ma30 mabad = ma5 < ma30 simplema = sma(src,length) exponentialma = ema(src,length) hullma = wma(2*wma(src, length/2)-wma(src, length), round(sqrt(length))) weightedma = wma(src, length) volweightedma = vwma(src, length) avgval = matype==1 ? simplema : matype==2 ? exponentialma : matype==3 ? hullma : matype==4 ? weightedma : matype==5 ? volweightedma : na MA_speed = (avgval / avgval[1] -1 ) *100 masgood = MA_speed > 0 masbad = MA_speed < 0 //Momentum----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- data = 0 for i = 1 to tmolength-1 if close > open[i] data := data + 1 if close < open[i] data := data - 1 EMA5 = ema(data, calcLength) Main = ema(EMA5, smoothLength) Signal = ema(Main, smoothLength) momentumgood = Main > Signal momentumbad = Main < Signal //STRATEGY=============================================================================================================================================================================================================================================================== Long = (DIPlus > DIMinus and ADX > th) and volumegood and sargood and rsiob and macdgood and deltagood and magood and masgood and bullish and jmagood and rangegood and momentumgood Short = (DIPlus < DIMinus and ADX > th) and volumegood and sarbad and rsios and macdbad and deltabad and mabad and masbad and jmabad and rangebad and momentumbad //BACKTESTING========================================================================================================================================================================================================================== // ————— Backtest input Act_BT = input(true, title = "BACKTEST", type = input.bool) backtest_time = input(180, title ="BACKTEST DAYS", type = input.integer, minval = 1)*24*60*60*1000 entry_Type = input("% EQUITY", title = "ENTRY TYPE", options = ["CONTRACTS","CASH","% EQUITY"]) et_Factor = (entry_Type == "CONTRACTS") ? 1 : (entry_Type == "% EQUITY") ? (100/(strategy.equity/close)) : close //Signals---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- // SL AND TP----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- stopPer = input(3.6, title='Stop Loss % [plotshape]', type=input.float) / 100 takePer = input(0.8, title='Take Profit % [plotshape]', type=input.float) / 100 long_short = 0 long_last = Long and (nz(long_short[1]) == 0 or nz(long_short[1]) == -1) short_last = Short and (nz(long_short[1]) == 0 or nz(long_short[1]) == 1) long_short := long_last ? 1 : short_last ? -1 : long_short[1] longPrice = valuewhen(long_last, close, 0) shortPrice = valuewhen(short_last, close, 0) longStop = longPrice * (1 - stopPer) shortStop = shortPrice * (1 + stopPer) longTake = longPrice * (1 + takePer) shortTake = shortPrice * (1 - takePer) //plot lines --------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- plotshape(long_short==1 ? longTake : na, style=shape.cross, color=color.gray, location=location.absolute ) plotshape(long_short==-1 ? shortTake : na, style=shape.cross, color=color.gray, location=location.absolute ) longBar1 = barssince(long_last) longBar2 = longBar1 >= 1 ? true : false shortBar1 = barssince(short_last) shortBar2 = shortBar1 >= 1 ? true : false Long_SL = long_short==1 and longBar2 and low < longStop Short_SL = long_short==-1 and shortBar2 and high > shortStop Long_TP = long_short==1 and longBar2 and high > longTake Short_TP = long_short==-1 and shortBar2 and low < shortTake long_short := (long_short==1 or long_short==0) and longBar2 and (Long_SL or Long_TP) ? 0 : (long_short==-1 or long_short==0) and shortBar2 and (Short_SL or Short_TP) ? 0 : long_short last_long_cond = Long and long_last last_short_cond = Short and short_last //plotshapes--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- plotshape(last_long_cond, title="Long x1", color=color.blue, style=shape.triangleup, location=location.belowbar, size=size.small, textcolor=color.white, text="Long" , transp=1) plotshape(last_short_cond, title="Short x1", color=color.red, style=shape.triangledown, location=location.abovebar, size=size.tiny, textcolor=color.white, text="Short" ,transp=1) plotshape(Long_SL, location=location.belowbar, color=color.black, size=size.tiny , text="SL", textcolor=color.fuchsia) plotshape(Short_SL, location=location.abovebar, color=color.black, size=size.tiny , text="SL", textcolor=color.fuchsia) plotshape(Long_TP,style=shape.triangledown, location=location.abovebar, color=color.gray, size=size.tiny , text="TP", textcolor=color.red) plotshape(Short_TP,style=shape.triangleup, location=location.belowbar, color=color.gray, size=size.tiny , text="TP", textcolor=color.green) if last_long_cond and Act_BT strategy.entry("L", strategy.long) if last_short_cond and Act_BT strategy.entry("S", strategy.short) per(pcnt) => strategy.position_size != 0 ? round(pcnt / 100 * strategy.position_avg_price / syminfo.mintick) : float(na) stoploss=input(title=" stop loss [BT]", defval=3.6, minval=0.01) los = per(stoploss) q=input(title=" qty percent", defval=100, minval=1) tp=input(title=" Take profit [BT]", defval=0.8, minval=0.01) strategy.exit("tp", qty_percent = q, profit = per(tp), loss = los) //By wielkieef