この戦略は,数値取引のための複数の技術指標を使用します.主に EMAクロスオーバー,スーパートレンド,RSI,MACDなどを含む指標を使用して取引信号を生成します.
基本的な論理は以下の側面に基づいています
EMAクロスオーバー: EMA1が EMA2を超えると購入信号を生成する. EMA1が EMA2を下回ると販売信号を生成する.
VWMA: VWMAを計算する.VWMAの上の値クロスオーバーが閉ざされた場合,それは購入信号である.VWMAの下の値クロスオーバーが閉ざされた場合,それは販売信号である.
スーパートレンド:ATRと倍数パラメータに基づいて上帯と下帯を計算する.トレンド方向を決定する.上昇トレンドで購入信号を生成し,ダウントレンドで販売信号を生成する.
RSI:RSI指標を計算する.RSIが過買い値を超えると,それは売り信号である.RSIが過売り値を下回ると,それは買い信号である.
MACD:MACD,信号線,ヒストグラムを計算する.MACD線が信号線の上を横切ると,購入生成する.MACD線が信号線下を横切ると,販売生成する.
この戦略は,上記のシグナルを組み合わせるために
この戦略は,市場をフィルタリングし,誤った信号を避けるために複数の指標を組み合わせます.主な利点:
複数の指標を組み合わせると,単一の指標の誤りが回避されます.
トレンドインジケーターとオシレーターの組み合わせで トレンド中に余分な利益を得ることができます
ストップ・ロスのロジックは,取引ごとに最大損失を制限します.
マルティンゲール論理は 損失の後も 復旧するチャンスを提供します
主なリスク:
過剰に保守的な指標組み合わせは,取引機会を逃す可能性があります.必要に応じて指標組み合わせを簡素化してください.
マルティンゲール論理は,重大な損失をもたらす可能性があります. 追加エントリの数に合理的な制限を設定します.
ストップ・ロスの不適切な使用は,不要なストップアウトを引き起こす可能性があります.適応型ストップ・ロスのメカニズムを採用します.
パラメータの調節が不適切であれば 誤った信号が増える可能性があります.最適な組み合わせを見つけるために パラメータを最適化してください.
この戦略は,次の側面においてさらに最適化することができる.
異なる指標の組み合わせを評価し 重さを決定します
各指標の異なるパラメータをテストする.
アダプティブストップロストロジックを追加します
ダイナミック位置サイズメカニズムを追加します
マシン学習を活用して パラメータやモデルを最適化します
概要すると,これは非常に実践的な定量的な取引戦略です.市場分析のための複数の古典的な技術指標の強さを組み合わせます.さらなるパラメータ調整とモデル最適化によりより良い結果が得られます.
/*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 )