Triple Supertrend Moving Average Strategy Breakout


Tarikh penciptaan: 2023-12-21 12:05:07 Akhirnya diubah suai: 2023-12-21 12:05:07
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Triple Supertrend Moving Average Strategy Breakout

Gambaran keseluruhan

Triple overtrend breakout strategi adalah strategi yang lebih biasa menggunakan overtrend rata-rata dengan pelbagai parameter yang berbeza dan EMA defines trend untuk mengenal pasti arah trend dan melakukan perdagangan. Gagasan utama strategi ini adalah untuk membina overhead apabila sekurang-kurangnya dua overtrend rata-rata garis di atas garis EMA defines trend yang besar menunjukkan keadaan multicore; untuk membina multicore apabila sekurang-kurangnya dua overtrend rata-rata garis di bawah garis EMA defines trend yang besar menunjukkan keadaan kosong.

Prinsip Strategi

Strategi ini menilai kedudukan yang baik dan buruk dengan menetapkan garis purata supertrend dengan tiga parameter yang berbeza, dan EMA yang menentukan arah trend utama:

  1. Tetapkan tiga garis rata-rata supertrend supertrend1, supertrend2, supertrend3, warna masing-masing hijau untuk menunjukkan trend naik, merah untuk menunjukkan trend turun.

  2. Setting an EMA smooth moving average ematrend to define the big trend, when the three super trend averages are all above the EMA is defined as the big spread overhead, and vice versa is defined as the empty head.

  3. Apabila sekurang-kurangnya dua garis rata-rata trend yang melampau pada masa yang sama menunjukkan tanda kepala kosong (berwarna hijau) apabila nilai arahnya kurang daripada 0, maka ia dianggap sebagai isyarat kepala kosong. Apabila sekurang-kurangnya dua garis rata-rata trend yang melampau pada masa yang sama menunjukkan tanda kepala kosong (berwarna merah) apabila nilai arahnya lebih daripada 0, maka ia dianggap sebagai isyarat kepala kosong.

  4. Selepas itu, anda boleh melakukan over/under pada isyarat.

  5. Tetapkan keadaan berhenti kerugian. Di mana berhenti tetap ditetapkan sebagai nisbah pulangan risiko, iaitu nisbah kerugian; dan berhenti bergerak ditetapkan sebagai penurunan satu ATR.

  6. Apabila tercetus keadaan berhenti atau hentikan, tutup kedudukan.

Analisis kelebihan

Strategi ini mempunyai kelebihan berikut:

  1. Menggunakan EMA yang digabungkan dengan garis rata-rata super tiga untuk menentukan trend, dapat mengenal pasti isyarat trend dengan berkesan.

  2. Peraturan penghakiman tertakluk kepada ruang kosong adalah jelas, mudah difahami dan dilaksanakan.

  3. Tetapkan hentian bergerak dan hentian tetap untuk mengawal risiko dengan berkesan.

  4. Anda boleh menyesuaikan parameter hyper yang diperlukan untuk mengoptimumkan strategi.

Analisis risiko

Strategi ini juga mempunyai risiko:

  1. Tetapan parameter hyper yang tidak betul boleh menyebabkan kehilangan peluang perdagangan yang baik. Anda boleh menguji kitaran ATR yang berbeza, kelipatan ATR, parameter kitaran EMA.

  2. Kebarangkalian kegagalan penembusan wujud, dan kebarangkalian boleh dikurangkan dengan menyesuaikan parameter super.

  3. Penetapan stop loss atau stop loss yang terlalu longgar akan meningkatkan kebarangkalian kerugian.

  4. Data pengesanan semula mudah menimbulkan masalah overfit. Perhatian perlu diberikan kepada ujian pelbagai pasaran dan pelbagai kitaran.

Arah pengoptimuman

Strategi ini boleh dioptimumkan dalam beberapa aspek:

  1. Uji kombinasi parameter super optimum. Uji gabungan boleh dilakukan pada pelbagai kitaran ATR, kali ATR, dan kitaran purata EMA untuk mencari kombinasi parameter optimum.

  2. Tambah varian dagangan. Anda boleh menambah varian yang berbeza seperti saham, mata wang digital dan lain-lain untuk mengesahkan keberkesanan strategi.

  3. Gabungan dengan isyarat penapis indikator lain. Sebagai contoh, anda boleh menambah RSI, MACD dan lain-lain untuk mengelakkan salah membaca isyarat trend.

  4. Optimumkan mekanisme hentian hentian. Hentian boleh diuji untuk menjejaki hentian, atau berdasarkan perubahan ATR / kadar turun naik.

ringkaskan

Triple overtrend equivalency breakout strategi secara keseluruhan adalah strategi trend yang lebih mudah dan praktikal. Ia menggabungkan beberapa overtrend equivalency dan trend menilai EMA untuk mencari peluang dan mengawal risiko dengan berkesan. Dengan pengoptimuman parameter dan pengoptimuman peraturan, anda boleh mendapatkan kesan yang lebih baik.

Kod sumber strategi
/*backtest
start: 2022-12-14 00:00:00
end: 2023-12-20 00:00:00
period: 1d
basePeriod: 1h
exchanges: [{"eid":"Futures_Binance","currency":"BTC_USDT"}]
*/

// @version=5
// author=theasgard and moonshot-indicator (ms)
// year 2021
//
// This is a well knowen strategy by using 3 different Supertrends and a trend-defining EMA,
// feel free to play around with the settings, a backtest on 8h ETHUSDT pair brought some good results using 
// the 233EMA and investing 75% of a 10k start capital
//
// the idea is to have at least 2 supertrnds going green above the trend-EMA to go long and exit by turning 
// 2 supertrends red (idea: 1 supertrend in red could initialize a take profit)
// shorts work vice versa
// The EMA shows in green for uptrends and in red for downtrends, if it is blue no Signal will be taken because 
// the 3 supertrends are not all above or below the trendline(EMA)
//
// Update 1:
// Fixed a minor input error
// Added ATR stoploss, and commented out the percentage stop loss
// Added time window to backtest
// Added exit on risk/revard is met
// This version is only buy...wait for next update adding shorts

strategy("ms hypertrender", overlay=true)

// set up 3 supertrendlines and colour the direction up/down
atrPeriod1 = input(10, "ATR Length 1")
factor1 = input.float(1.0, "ATR Factor 1", step = 0.01)
[supertrend1, direction1] = ta.supertrend(factor1, atrPeriod1)
upTrend1 = plot(direction1 < 0 ? supertrend1 : na, "Up Trend 1", color = color.green, style=plot.style_linebr)
downTrend1 = plot(direction1 < 0? na : supertrend1, "Down Trend 1", color = color.red, style=plot.style_linebr)

atrPeriod2 = input(11, "ATR Length 2")
factor2 = input.float(2.0, "ATR Factor 2", step = 0.01)
[supertrend2, direction2] = ta.supertrend(factor2, atrPeriod2)
upTrend2 = plot(direction2 < 0 ? supertrend2 : na, "Up Trend 2", color = color.green, style=plot.style_linebr)
downTrend2 = plot(direction2 < 0? na : supertrend2, "Down Trend 2", color = color.red, style=plot.style_linebr)

atrPeriod3 = input(12, "ATR Length 3")
factor3 = input.float(3.0, "ATR Factor 3", step = 0.01)
[supertrend3, direction3] = ta.supertrend(factor3, atrPeriod3)
upTrend3 = plot(direction3 < 0 ? supertrend3 : na, "Up Trend 3", color = color.green, style=plot.style_linebr)
downTrend3 = plot(direction3 < 0? na : supertrend3, "Down Trend 3", color = color.red, style=plot.style_linebr)

//set up the trend dividing EMA and color uptrend nutreal downtrend
len = input.int(233, minval=1, title="Trend-EMA Length")
src = input(close, title="Source")
offset = input.int(title="Offset", defval=0, minval=-500, maxval=500)

//general Bull or Bear Trend? Visualized by ema
ematrend = ta.ema(src, len)
generaluptrend = supertrend1 > ematrend and supertrend2 > ematrend and supertrend3 > ematrend
generaldowntrend = supertrend1 < ematrend and supertrend2 < ematrend and supertrend3 < ematrend
emacolor = if generaluptrend
    color.green
else if generaldowntrend
    color.red
else
    color.blue
plot(ematrend, title="EMA", color=emacolor, linewidth=3, offset=offset)

// Bullish? min 2 supertrends green
bullish = (direction1 < 0 and direction2 < 0) or (direction1 < 0 and direction3 < 0) or (direction2 < 0 and direction3 < 0) and generaluptrend
extremebullish = direction1 < 0 and direction2 < 0 and direction3 < 0 and generaluptrend //all 3 green

// Bearish? min 2 supertrends red
bearish = (direction1 > 0 and direction2 > 0) or (direction1 > 0 and direction3 > 0) or (direction2 > 0 and direction3 > 0) and generaldowntrend
extremebearish = direction1 > 0 and direction2 > 0 and direction3 > 0 and generaldowntrend //all 3 red

// Open Long
//plotchar(((bullish and not bullish[1]) or (extremebullish and not extremebullish[1])) and (emacolor==color.green)? close : na, title = 'Start Long', char='▲', color = #80eb34, location = location.belowbar, size = size.small)

// TP 10% Long
TP10long = ((generaluptrend and bullish[1]) or (generaluptrend and extremebullish[1])) and (direction1 > 0 or direction2 > 0 or direction3 > 0)
//plotchar(TP10long and not TP10long[1]? close : na, title = 'TP on Long', char='┼', color = #ffd000, location = location.abovebar, size = size.tiny)

// Exit Long
//plotchar(extremebearish and not extremebearish[1] or bearish and not bearish[1]? close : na, title = 'Close all Longs', char='Ꭓ', color = #ff0037, location = location.abovebar, size = size.tiny)
stopsupertrendup = if supertrend1 < supertrend2 and supertrend1 < supertrend3
    (supertrend1)
else if supertrend2 < supertrend1 and supertrend2 < supertrend3
    (supertrend2)
else if supertrend3 < supertrend1 and supertrend3 < supertrend2
    (supertrend3)
lowestLows = ta.lowest(low, 1)
// Open Short
//plotchar(((bearish and not bearish[1]) or (extremebearish and not extremebearish[1])) and (emacolor==color.red)? close : na, title = 'Start Short', char='▼', color = #0547e3, location = location.abovebar, size = size.small)

// TP 10% Short
TP10short = ((generaldowntrend and bearish[1]) or (generaldowntrend and extremebearish[1])) and (direction1 < 0 or direction2 < 0 or direction3 < 0)
//plotchar(TP10short and not TP10short[1]? close : na, title = 'TP on Short', char='┼', color = #ffd000, location = location.belowbar, size = size.tiny)

// Exit Short
//plotchar(extremebullish and not extremebullish[1] or bullish and not bullish[1]? close : na, title = 'Close all Shorts', char='Ꭓ', color = #ff0037, location = location.belowbar, size = size.tiny)
stopsupertrenddown = if supertrend1 > supertrend2 and supertrend1 > supertrend3
    (supertrend1)
else if supertrend2 > supertrend1 and supertrend2 > supertrend3
    (supertrend2)
else if supertrend3 > supertrend1 and supertrend3 > supertrend2
    (supertrend3)
highestHighs = ta.highest(high,1)
// Set stop loss level with input options (optional)
//longLossPerc = input.float(title="Long Stop Loss (%)",
//     minval=0.0, step=0.1, defval=1) * 0.01

//shortLossPerc = input.float(title="Short Stop Loss (%)",
//     minval=0.0, step=0.1, defval=1) * 0.01
     
// Determine stop loss price
//longStopPrice  = strategy.position_avg_price * (1 - longLossPerc)
//shortStopPrice = strategy.position_avg_price * (1 + shortLossPerc)

openlong = (extremebullish and not extremebullish[1]) and (emacolor==color.green)//(((bullish and not bullish[1]) or 
openshort = (extremebearish and not extremebearish[1]) and (emacolor==color.red)//(((bearish and not bearish[1]) or 
exitlong = lowestLows<(stopsupertrendup - ((stopsupertrendup / 100) * 0.1)) //(extremebearish and not extremebearish[1] or bearish and not bearish[1]) or TP10long or 
exitshort = highestHighs>(stopsupertrenddown - ((stopsupertrenddown / 100) * 0.1)) //(extremebullish and not extremebullish[1] or bullish and not bullish[1]) or TP10short
//strategy.entry("buy", strategy.long, when=openlong)
//strategy.entry("sell", strategy.short, when=openshort)

//strategy.close("buy", when=exitlong)
//strategy.close("sell", when=exitshort)

// Submit exit orders based on calculated stop loss price
//if (strategy.position_size > 0)
//    strategy.exit(id="Long Stop", stop=longStopPrice)

//if (strategy.position_size < 0)
//    strategy.exit(id="Short Stop", stop=shortStopPrice)

backtest_timeframe_start = input(defval = timestamp("01 Apr 2016 13:30 +0000"), title = "Backtest Start Time")
USE_ENDTIME = input(false,title="Define the ending period for backtests (If false, will test up to most recent candle)")
backtest_timeframe_end = input(defval = timestamp("19 Mar 2021 19:30 +0000"), title = "Backtest End Time")
TARGET_PROFIT_MODE = input(false,title="Exit when Risk:Reward met")
REWARD_RATIO = input(3,title="Risk:[Reward] (i.e. 3) for exit")
// Trailing stop loss {
TSL_ON = input(true,title="Use trailing stop loss")
var entry_price = float(0)
ATR_multi_len = 26
ATR_multi = input(2, "ATR multiplier for stop loss")
ATR_buffer = ta.atr(ATR_multi_len) * ATR_multi
plotchar(ATR_buffer, "ATR Buffer", "A", location = location.top)
risk_reward_buffer = (ta.atr(ATR_multi_len) * ATR_multi) * REWARD_RATIO
take_profit_long = low > entry_price + risk_reward_buffer
take_profit_short = low < entry_price - risk_reward_buffer
var trailing_SL_buffer = float(0)
var stop_loss_price = float(0)
stop_loss_price := math.max(stop_loss_price, close - trailing_SL_buffer)
// plot TSL line
trail_profit_line_color = color.green
if strategy.position_size == 0  or not TSL_ON
    trail_profit_line_color := color.black
    stop_loss_price := close - trailing_SL_buffer
plot(stop_loss_price,color=trail_profit_line_color)
// }

if true
    buy_condition = openlong
    exit_condition = exitlong
    //ENTRY:
    if buy_condition
        if strategy.position_size == 0
            entry_price := close
            trailing_SL_buffer := ATR_buffer
            stop_loss_price := close - ATR_buffer
        
        msg = "entry"
        if strategy.position_size > 0
            msg := "pyramiding"
        strategy.entry("Long",strategy.long, comment=msg)

    //EXIT:
    // Case (A) hits trailing stop
    if TSL_ON and strategy.position_size > 0 and close <= stop_loss_price
        if close > entry_price
            strategy.close("Long", comment="take profit [trailing]")
        else if close <= entry_price 
            strategy.close("Long", comment="stop loss")
    // Case (B) take targeted profit relative to risk 
    if strategy.position_size > 0 and TARGET_PROFIT_MODE
        if take_profit_long
            strategy.close("Long", comment="take profits [risk:reward]")
    // Case (C)
    if strategy.position_size > 0 and exit_condition
        if take_profit_long
            strategy.close("Long", comment="exit[rsi]")