PPO Sensitivity Momentum Price Double Bottom Directional Trading Strategy adalah strategi perdagangan trend berikut yang menggunakan pengenalan pembentukan harga double bottom oleh penunjuk PPO (Peratusan Osilator Harga) untuk menjana isyarat perdagangan.
Strategi ini menggunakan penunjuk PPO untuk menentukan ciri-ciri harga bawah berganda, sementara menggabungkan penilaian titik minimum harga untuk memantau pembentukan dasar penunjuk PPO dalam masa nyata.
Sebaliknya, strategi ini bekerjasama dengan penentuan nilai minimum harga untuk memastikan sama ada harga berada pada tahap yang agak rendah.
Melalui pengesahan ciri pembalikan PPO dan mekanisme pengesahan tahap harga berganda, kemungkinan pembalikan harga yang berpotensi dapat dikenal pasti dengan berkesan, menapis isyarat palsu dan meningkatkan kualiti isyarat.
PPO corak bahagian bawah berganda membolehkan masa yang tepat di titik masuk.
Menggabungkan pengesahan tahap harga menapis isyarat palsu yang berlaku pada tahap yang agak tinggi, meningkatkan kualiti isyarat.
PPO sensitif dan dengan cepat menangkap perubahan trend harga, sesuai untuk penjejakan trend.
Mekanisme pengesahan berganda berkesan mengurangkan risiko perdagangan.
PPO cenderung menghasilkan isyarat palsu, yang memerlukan pengesahan dari penunjuk lain.
Pembalikan bawah berganda mungkin tidak dapat bertahan, menghadapi risiko penurunan lebih lanjut. Stop loss boleh ditetapkan bersama-sama dengan pengoptimuman saiz kedudukan.
Konfigurasi parameter yang tidak sesuai membawa kepada keuntungan yang hilang atau entri yang salah. Ujian balik berulang dan pengoptimuman pada kombinasi parameter diperlukan.
Terdapat jumlah kod yang besar dengan replikasi. Modularisasi lebih lanjut membantu mengurangkan kod duplikat.
Menggabungkan modul stop loss dan mengoptimumkan strategi saiz kedudukan.
Memperkenalkan purata bergerak atau penunjuk turun naik sebagai alat pengesahan.
Modularisasi kod untuk mengelakkan pertimbangan logik yang berlebihan.
Lanjutkan penyesuaian parameter untuk meningkatkan kestabilan.
Uji aplikasi perdagangan penyebaran di lebih banyak produk.
PPO Price Sensitivity Momentum Double Bottom Directional Trading Strategy merangkumi ciri-ciri PPO indikator
/*backtest start: 2024-01-27 00:00:00 end: 2024-01-28 00:00:00 period: 2h 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/ // © luciancapdefier //@version=4 strategy("PPO Divergence ST", overlay=true, initial_capital=30000, calc_on_order_fills=true, default_qty_type=strategy.percent_of_equity, default_qty_value=100) // time FromYear = input(2019, "Backtest Start Year") FromMonth = input(1, "Backtest Start Month") FromDay = input(1, "Backtest Start Day") ToYear = input(2999, "Backtest End Year") ToMonth = input(1, "Backtest End Month") ToDay = input(1, "Backtest End Day") start = timestamp(FromYear, FromMonth, FromDay, 00, 00) // backtest start window finish = timestamp(ToYear, ToMonth, ToDay, 23, 59) // backtest finish window window() => time >= start and time <= finish ? true : false source = close topbots = input(true, title="Show PPO high/low triangles?") long_term_div = input(true, title="Use long term divergences?") div_lookback_period = input(55, minval=1, title="Lookback Period") fastLength = input(12, minval=1, title="PPO Fast") slowLength=input(26, minval=1, title="PPO Slow") signalLength=input(9,minval=1, title="PPO Signal") smoother = input(2,minval=1, title="PPO Smooth") fastMA = ema(source, fastLength) slowMA = ema(source, slowLength) macd = fastMA - slowMA macd2=(macd/slowMA)*100 d = sma(macd2, smoother) // smoothing PPO bullishPrice = low priceMins = bullishPrice > bullishPrice[1] and bullishPrice[1] < bullishPrice[2] or low[1] == low[2] and low[1] < low and low[1] < low[3] or low[1] == low[2] and low[1] == low[3] and low[1] < low and low[1] < low[4] or low[1] == low[2] and low[1] == low[3] and low[1] and low[1] == low[4] and low[1] < low and low[1] < low[5] // this line identifies bottoms and plateaus in the price oscMins= d > d[1] and d[1] < d[2] // this line identifies bottoms in the PPO BottomPointsInPPO = oscMins bearishPrice = high priceMax = bearishPrice < bearishPrice[1] and bearishPrice[1] > bearishPrice[2] or high[1] == high[2] and high[1] > high and high[1] > high[3] or high[1] == high[2] and high[1] == high[3] and high[1] > high and high[1] > high[4] or high[1] == high[2] and high[1] == high[3] and high[1] and high[1] == high[4] and high[1] > high and high[1] > high[5] // this line identifies tops in the price oscMax = d < d[1] and d[1] > d[2] // this line identifies tops in the PPO TopPointsInPPO = oscMax currenttrough4=valuewhen (oscMins, d[1], 0) // identifies the value of PPO at the most recent BOTTOM in the PPO lasttrough4=valuewhen (oscMins, d[1], 1) // NOT USED identifies the value of PPO at the second most recent BOTTOM in the PPO currenttrough5=valuewhen (oscMax, d[1], 0) // identifies the value of PPO at the most recent TOP in the PPO lasttrough5=valuewhen (oscMax, d[1], 1) // NOT USED identifies the value of PPO at the second most recent TOP in the PPO currenttrough6=valuewhen (priceMins, low[1], 0) // this line identifies the low (price) at the most recent bottom in the Price lasttrough6=valuewhen (priceMins, low[1], 1) // NOT USED this line identifies the low (price) at the second most recent bottom in the Price currenttrough7=valuewhen (priceMax, high[1], 0) // this line identifies the high (price) at the most recent top in the Price lasttrough7=valuewhen (priceMax, high[1], 1) // NOT USED this line identifies the high (price) at the second most recent top in the Price delayedlow = priceMins and barssince(oscMins) < 3 ? low[1] : na delayedhigh = priceMax and barssince(oscMax) < 3 ? high[1] : na // only take tops/bottoms in price when tops/bottoms are less than 5 bars away filter = barssince(priceMins) < 5 ? lowest(currenttrough6, 4) : na filter2 = barssince(priceMax) < 5 ? highest(currenttrough7, 4) : na //delayedbottom/top when oscillator bottom/top is earlier than price bottom/top y11 = valuewhen(oscMins, delayedlow, 0) y12 = valuewhen(oscMax, delayedhigh, 0) // only take tops/bottoms in price when tops/bottoms are less than 5 bars away, since 2nd most recent top/bottom in osc y2=valuewhen(oscMax, filter2, 1) // identifies the highest high in the tops of price with 5 bar lookback period SINCE the SECOND most recent top in PPO y6=valuewhen(oscMins, filter, 1) // identifies the lowest low in the bottoms of price with 5 bar lookback period SINCE the SECOND most recent bottom in PPO long_term_bull_filt = valuewhen(priceMins, lowest(div_lookback_period), 1) long_term_bear_filt = valuewhen(priceMax, highest(div_lookback_period), 1) y3=valuewhen(oscMax, currenttrough5, 0) // identifies the value of PPO in the most recent top of PPO y4=valuewhen(oscMax, currenttrough5, 1) // identifies the value of PPO in the second most recent top of PPO y7=valuewhen(oscMins, currenttrough4, 0) // identifies the value of PPO in the most recent bottom of PPO y8=valuewhen(oscMins, currenttrough4, 1) // identifies the value of PPO in the SECOND most recent bottom of PPO y9=valuewhen(oscMins, currenttrough6, 0) y10=valuewhen(oscMax, currenttrough7, 0) bulldiv= BottomPointsInPPO ? d[1] : na // plots dots at bottoms in the PPO beardiv= TopPointsInPPO ? d[1]: na // plots dots at tops in the PPO i = currenttrough5 < highest(d, div_lookback_period) // long term bearish oscilator divergence i2 = y10 > long_term_bear_filt // long term bearish top divergence i3 = delayedhigh > long_term_bear_filt // long term bearish delayedhigh divergence i4 = currenttrough4 > lowest(d, div_lookback_period) // long term bullish osc divergence i5 = y9 < long_term_bull_filt // long term bullish bottom div i6 = delayedlow < long_term_bull_filt // long term bullish delayedbottom div //plot(0, color=gray) //plot(d, color=black) //plot(bulldiv, title = "Bottoms", color=maroon, style=circles, linewidth=3, offset= -1) //plot(beardiv, title = "Tops", color=green, style=circles, linewidth=3, offset= -1) bearishdiv1 = (y10 > y2 and oscMax and y3 < y4) ? true : false bearishdiv2 = (delayedhigh > y2 and y3 < y4) ? true : false bearishdiv3 = (long_term_div and oscMax and i and i2) ? true : false bearishdiv4 = (long_term_div and i and i3) ? true : false bullishdiv1 = (y9 < y6 and oscMins and y7 > y8) ? true : false bullishdiv2 = (delayedlow < y6 and y7 > y8) ? true : false bullishdiv3 = (long_term_div and oscMins and i4 and i5) ? true : false bullishdiv4 = (long_term_div and i4 and i6) ? true : false bearish = bearishdiv1 or bearishdiv2 or bearishdiv3 or bearishdiv4 bullish = bullishdiv1 or bullishdiv2 or bullishdiv3 or bullishdiv4 greendot = beardiv != 0 ? true : false reddot = bulldiv != 0 ? true : false if (reddot and window()) strategy.entry("Buy Id", strategy.long, comment="BUY") if (greendot and window()) strategy.entry("Sell Id", strategy.short, comment="SELL") alertcondition( bearish, title="Bearish Signal (Orange)", message="Orange & Bearish: Short " ) alertcondition( bullish, title="Bullish Signal (Purple)", message="Purple & Bullish: Long " ) alertcondition( greendot, title="PPO High (Green)", message="Green High Point: Short " ) alertcondition( reddot, title="PPO Low (Red)", message="Red Low Point: Long " ) // plotshape(bearish ? d : na, text='▼\nP', style=shape.labeldown, location=location.abovebar, color=color(orange,0), textcolor=color(white,0), offset=0) // plotshape(bullish ? d : na, text='P\n▲', style=shape.labelup, location=location.belowbar, color=color(#C752FF,0), textcolor=color(white,0), offset=0) plotshape(topbots and greendot ? d : na, text='', style=shape.triangledown, location=location.abovebar, color=color.red, offset=0, size=size.tiny) plotshape(topbots and reddot ? d : na, text='', style=shape.triangleup, location=location.belowbar, color=color.lime, offset=0, size=size.tiny) //barcolor(bearishdiv1 or bearishdiv2 or bearishdiv3 or bearishdiv4 ? orange : na) //barcolor(bullishdiv1 or bullishdiv2 or bullishdiv3 or bullishdiv4 ? fuchsia : na) //barcolor(#dedcdc)