Strategi ini menggabungkan operasi aritmatika modulo dan rata-rata bergerak eksponensial untuk menciptakan filter keacakan yang kuat untuk menentukan arah posisi. Pertama menghitung sisa harga dibagi dengan angka yang ditetapkan, dan sinyal perdagangan dihasilkan jika sisanya adalah 0. Jika sinyal ini berada di bawah garis EMA, pergi pendek; jika di atas, pergi panjang. Strategi ini mengintegrasikan keacakan operasi matematika dan tren penilaian indikator teknis, menggunakan validasi silang antara indikator dari siklus yang berbeda untuk secara efektif menyaring beberapa kebisingan pasar.
Strategi ini secara efektif menggabungkan keacakan operasi modulo dan penilaian tren rata-rata bergerak melalui penyesuaian parameter yang fleksibel yang memenuhi lingkungan pasar yang berbeda, menghasilkan sinyal perdagangan yang dapat diandalkan. Ini juga mengintegrasikan berbagai mekanisme stop untuk mengendalikan risiko serta mengambil keuntungan dan trailing stop untuk mengunci keuntungan.
/*backtest start: 2023-11-12 00:00:00 end: 2023-12-12 00:00:00 period: 1h basePeriod: 15m 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/ // © tweakerID // To understand this strategy first we need to look into the Modulo (%) operator. The modulo returns the remainder numerator // of a division's quotient (the result). If we do 5 / 3, we get 1 and 2/3 as a result, where the remainder is 2 (two thirds, in this case). This can be // used for many things, for example to determine when a number divides evenly into another number. If we divide 3/3, our result is 1, // with no remainder numerator, hence our modulo result is 0. In this strategy, we compare a given number (divisor, user defined) with the // the closing price of every candle (dividend, modifiable from the inputs panel) to determine if the result between their division is an even number. // If the answer is true, we have an entry signal. If this signal occurs below the EMA (length is defined by the user) we go short and // viceversa for longs. This logic can be reversed. In this case, the modulo works as a random-like filter for a moving average strategy // that usually struggles when the market is ranging. //@version=4 //@version=4 strategy("Modulo Logic + EMA Strat", overlay=true, default_qty_type=strategy.percent_of_equity, default_qty_value=100, initial_capital=10000, commission_value=0.04, calc_on_every_tick=false, slippage=0) direction = input(0, title = "Strategy Direction", type=input.integer, minval=-1, maxval=1) strategy.risk.allow_entry_in(direction == 0 ? strategy.direction.all : (direction < 0 ? strategy.direction.short : strategy.direction.long)) /////////////////////// STRATEGY INPUTS //////////////////////////////////////// title1=input(true, "-----------------Strategy Inputs-------------------") a=input(close, title="Dividend") b=input(4, title="Divisor") usemod=input(true, title="Use Modulo Logic") MALen=input(70, title="EMA Length") /////////////////////// BACKTESTER ///////////////////////////////////////////// title2=input(true, "-----------------General Inputs-------------------") // Backtester General Inputs i_SL=input(true, title="Use Stop Loss and Take Profit") i_SLType=input(defval="ATR Stop", title="Type Of Stop", options=["Strategy Stop", "Swing Lo/Hi", "ATR Stop"]) i_SPL=input(defval=10, title="Swing Point Lookback") i_PercIncrement=input(defval=3, step=.1, title="Swing Point SL Perc Increment")*0.01 i_ATR = input(14, title="ATR Length") i_ATRMult = input(4, step=.1, title="ATR Multiple") i_TPRRR = input(1, step=.1, title="Take Profit Risk Reward Ratio") TS=input(false, title="Trailing Stop") // Bought and Sold Boolean Signal bought = strategy.position_size > strategy.position_size[1] or strategy.position_size < strategy.position_size[1] // Price Action Stop and Take Profit LL=(lowest(i_SPL))*(1-i_PercIncrement) HH=(highest(i_SPL))*(1+i_PercIncrement) LL_price = valuewhen(bought, LL, 0) HH_price = valuewhen(bought, HH, 0) entry_LL_price = strategy.position_size > 0 ? LL_price : na entry_HH_price = strategy.position_size < 0 ? HH_price : na tp=strategy.position_avg_price + (strategy.position_avg_price - entry_LL_price)*i_TPRRR stp=strategy.position_avg_price - (entry_HH_price - strategy.position_avg_price)*i_TPRRR // ATR Stop ATR=atr(i_ATR)*i_ATRMult ATRLong = ohlc4 - ATR ATRShort = ohlc4 + ATR ATRLongStop = valuewhen(bought, ATRLong, 0) ATRShortStop = valuewhen(bought, ATRShort, 0) LongSL_ATR_price = strategy.position_size > 0 ? ATRLongStop : na ShortSL_ATR_price = strategy.position_size < 0 ? ATRShortStop : na ATRtp=strategy.position_avg_price + (strategy.position_avg_price - LongSL_ATR_price)*i_TPRRR ATRstp=strategy.position_avg_price - (ShortSL_ATR_price - strategy.position_avg_price)*i_TPRRR // Strategy Stop float LongStop = na float ShortStop = na float StratTP = na float StratSTP = na /////////////////////// STRATEGY LOGIC ///////////////////////////////////////// modulo=a%b evennumber=modulo==0 MA=ema(close, MALen) plot(MA) BUY=usemod ? evennumber and close > MA : close > MA SELL=usemod ? evennumber and close < MA : close < MA //Trading Inputs DPR=input(true, "Allow Direct Position Reverse") reverse=input(false, "Reverse Trades") // Entries if reverse if not DPR strategy.entry("long", strategy.long, when=SELL and strategy.position_size == 0) strategy.entry("short", strategy.short, when=BUY and strategy.position_size == 0) else strategy.entry("long", strategy.long, when=SELL) strategy.entry("short", strategy.short, when=BUY) else if not DPR strategy.entry("long", strategy.long, when=BUY and strategy.position_size == 0) strategy.entry("short", strategy.short, when=SELL and strategy.position_size == 0) else strategy.entry("long", strategy.long, when=BUY) strategy.entry("short", strategy.short, when=SELL) SL= i_SLType == "Swing Lo/Hi" ? entry_LL_price : i_SLType == "ATR Stop" ? LongSL_ATR_price : LongStop SSL= i_SLType == "Swing Lo/Hi" ? entry_HH_price : i_SLType == "ATR Stop" ? ShortSL_ATR_price : ShortStop TP= i_SLType == "Swing Lo/Hi" ? tp : i_SLType == "ATR Stop" ? ATRtp : StratTP STP= i_SLType == "Swing Lo/Hi" ? stp : i_SLType == "ATR Stop" ? ATRstp : StratSTP //TrailingStop dif=(valuewhen(strategy.position_size>0 and strategy.position_size[1]<=0, high,0)) -strategy.position_avg_price trailOffset = strategy.position_avg_price - SL var tstop = float(na) if strategy.position_size > 0 tstop := high- trailOffset - dif if tstop<tstop[1] tstop:=tstop[1] else tstop := na StrailOffset = SSL - strategy.position_avg_price var Ststop = float(na) Sdif=strategy.position_avg_price-(valuewhen(strategy.position_size<0 and strategy.position_size[1]>=0, low,0)) if strategy.position_size < 0 Ststop := low+ StrailOffset + Sdif if Ststop>Ststop[1] Ststop:=Ststop[1] else Ststop := na strategy.exit("TP & SL", "long", limit=TP, stop=TS? tstop : SL, when=i_SL) strategy.exit("TP & SL", "short", limit=STP, stop=TS? Ststop : SSL, when=i_SL) /////////////////////// PLOTS ////////////////////////////////////////////////// plot(i_SL and strategy.position_size > 0 and not TS ? SL : i_SL and strategy.position_size > 0 and TS ? tstop : na , title='SL', style=plot.style_cross, color=color.red) plot(i_SL and strategy.position_size < 0 and not TS ? SSL : i_SL and strategy.position_size < 0 and TS ? Ststop : na , title='SSL', style=plot.style_cross, color=color.red) plot(i_SL and strategy.position_size > 0 ? TP : na, title='TP', style=plot.style_cross, color=color.green) plot(i_SL and strategy.position_size < 0 ? STP : na, title='STP', style=plot.style_cross, color=color.green) // Draw price action setup arrows plotshape(BUY ? 1 : na, style=shape.triangleup, location=location.belowbar, color=color.green, title="Bullish Setup", size=size.auto) plotshape(SELL ? 1 : na, style=shape.triangledown, location=location.abovebar, color=color.red, title="Bearish Setup", size=size.auto)