Strategi perdagangan ayunan adaptif berdasarkan penembusan harga


Tanggal Pembuatan: 2023-12-04 14:34:13 Akhirnya memodifikasi: 2023-12-04 14:34:13
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Strategi perdagangan ayunan adaptif berdasarkan penembusan harga

Ringkasan

Strategi ini digunakan untuk mengidentifikasi tren pasar berdasarkan titik-titik terobosan harga, dan digabungkan dengan indikator penyesuaian untuk menilai tren besar, untuk menangkap peluang reversal harga jangka pendek. Strategi ini cocok untuk perdagangan mata uang digital dengan volatilitas tinggi.

Prinsip Strategi

  1. Identifikasi titik ekstrim harga sebagai batas saluran. Ketika harga menciptakan tinggi baru atau rendah baru, gunakan titik tersebut sebagai batas saluran.
  2. Hitung MA indikator fluktuasi yang disesuaikan untuk menentukan arah tren secara keseluruhan.
  3. Sebuah sinyal beli dihasilkan ketika harga menanjak menembus saluran atas; sinyal jual dihasilkan ketika harga menanjak menembus saluran bawah.
  4. Set Stop Loss: Stop loss untuk posisi long position adalah 1% dari harga masuk.

Analisis Keunggulan

  1. Saluran harga bersifat adaptif dan dapat menentukan titik-titik perubahan tren secara akurat.
  2. Indikator berfluktuasi menilai tren besar, menghindari kehilangan arah dalam tren bergoyang.
  3. Strategi reversal, cocok untuk menangkap harga rebound jangka pendek.

Analisis risiko

  1. Dalam kondisi penurunan yang terus berlanjut, lebih mudah untuk memicu beberapa titik stop loss, yang menyebabkan kerugian besar.
  2. Di tengah-tengah krisis, transaksi jual beli yang sering terjadi meningkatkan biaya transaksi.
  3. Perdagangan otomatis memiliki risiko over-fitting.

Arah optimasi

  1. Optimalkan parameter MA agar lebih baik menilai tren keseluruhan.
  2. Meningkatkan indikator energi, menghindari sinyal pembalikan dari kegagalan energi.
  3. Menambahkan model pembelajaran mesin untuk mengoptimalkan parameter dinamis.

Meringkaskan

Strategi ini memiliki ide yang jelas dan memiliki nilai praktis tertentu. Namun, Anda harus berhati-hati untuk mengendalikan risiko perdagangan dan mencegah kerugian yang lebih besar dalam situasi tertentu. Langkah selanjutnya dapat dioptimalkan dari beberapa dimensi seperti kerangka keseluruhan, parameter indikator, dan kontrol risiko, sehingga parameter strategi dan sinyal perdagangan lebih dapat diandalkan.

Kode Sumber Strategi
/*backtest
start: 2023-11-03 00:00:00
end: 2023-12-03 00:00:00
period: 1h
basePeriod: 15m
exchanges: [{"eid":"Futures_Binance","currency":"BTC_USDT"}]
*/

// @version = 4
// This source code is subject to the terms of the Mozilla Public License 2.0 at https://mozilla.org/MPL/2.0/
// © TradingGroundhog



//  ||---   Cash & Date:
cash_amout = 10000
pyramid_val = 1
cash_given_per_lot = cash_amout/pyramid_val
startDate = input(title="Start Date",defval=13)
startMonth = input(title="Start Month",defval=9)
startYear = input(title="Start Year",defval=2021)
afterStartDate = (time >= timestamp(syminfo.timezone,startYear, startMonth, startDate, 0, 0))
//  ||------------------------------------------------------------------------------------------------------



//  ||---   Strategy:
strategy(title="TradingGroundhog - Strategy & Fractal V1 - Short term", overlay=true, max_bars_back = 4000, max_labels_count=500, commission_type=strategy.commission.percent, commission_value=0.00,default_qty_type=strategy.cash, default_qty_value= cash_given_per_lot, pyramiding=pyramid_val)
//  ||------------------------------------------------------------------------------------------------------



//  ||---   Fractal Recognition:
filterBW = input(true, title="filter Bill Williams Fractals:")
filterFractals = input(true, title="Filter fractals using extreme method:")
length = input(2, title="Extreme Window:")
regulartopfractal = high[4] < high[3] and high[3] < high[2] and high[2] > high[1] and high[1] > high[0]
regularbotfractal = low[4] > low[3] and low[3] > low[2] and low[2] < low[1] and low[1] < low[0]
billwtopfractal = filterBW ? false : (high[4] < high[2] and high[3] < high[2] and high[2] > high[1] and high[2] > high[0] ? true : false)
billwbotfractal = filterBW ? false : (low[4] > low[2] and low[3] > low[2] and low[2] < low[1] and low[2] < low[0] ? true : false)
ftop = filterBW ? regulartopfractal : regulartopfractal or billwtopfractal
fbot = filterBW ? regularbotfractal : regularbotfractal or billwbotfractal
topf = ftop ? high[2] >= highest(high, length) ? true : false : false
botf = fbot ? low[2] <= lowest(low, length) ? true : false : false
filteredtopf = filterFractals ? topf : ftop
filteredbotf = filterFractals ? botf : fbot
//  ||------------------------------------------------------------------------------------------------------



//  ||---   V1 : Added Swing High/Low Option
ShowSwingsHL = input(true)
highswings = filteredtopf == false ? na : valuewhen(filteredtopf == true, high[2], 2) < valuewhen(filteredtopf == true, high[2], 1) and valuewhen(filteredtopf == true, high[2], 1) > valuewhen(filteredtopf == true, high[2], 0)
lowswings = filteredbotf == false ? na : valuewhen(filteredbotf == true, low[2], 2) > valuewhen(filteredbotf == true, low[2], 1) and valuewhen(filteredbotf == true, low[2], 1) < valuewhen(filteredbotf == true, low[2], 0)
//---------------------------------------------------------------------------------------------------------



//  ||---   V2 : Plot Lines based on the fractals.
showchannel = input(true)
//---------------------------------------------------------------------------------------------------------



//  ||---   ZigZag:
showZigZag = input(true)
//----------------------------------------------------------------------------------------------------------



//  ||---   Fractal computation:
istop = filteredtopf ? true : false
isbot = filteredbotf ? true : false
topcount = barssince(istop)
botcount = barssince(isbot)
vamp = input(title="VolumeMA",  defval=2)
vam = sma(volume, vamp)
fractalup = 0.0
fractaldown = 0.0
up = high[3]>high[4] and high[4]>high[5] and high[2]<high[3] and high[1]<high[2] and volume[3]>vam[3]
down = low[3]<low[4] and low[4]<low[5] and low[2]>low[3] and low[1]>low[2] and volume[3]>vam[3]
fractalup :=  up ? high[3] : fractalup[1] 
fractaldown := down ? low[3] : fractaldown[1]
//----------------------------------------------------------------------------------------------------------



//  ||---   Fractal save:
fractaldown_save = array.new_float(0)
for i = 0 to 4000
    if array.size(fractaldown_save) < 3
        if array.size(fractaldown_save) == 0
            array.push(fractaldown_save, fractaldown[i])
        else 
            if fractaldown[i] != array.get(fractaldown_save, array.size(fractaldown_save)-1)
                array.push(fractaldown_save, fractaldown[i])
if array.size(fractaldown_save) < 3
    array.push(fractaldown_save, fractaldown)
    array.push(fractaldown_save, fractaldown)
fractalup_save = array.new_float(0)
for i = 0 to 4000
    if array.size(fractalup_save) < 3
        if array.size(fractalup_save) == 0
            array.push(fractalup_save, fractalup[i])
        else 
            if fractalup[i] != array.get(fractalup_save, array.size(fractalup_save)-1)
                array.push(fractalup_save, fractalup[i])
if array.size(fractalup_save) < 3
    array.push(fractalup_save, fractalup)
    array.push(fractalup_save, fractalup)
Bottom_1 = array.get(fractaldown_save,  0)
Bottom_2 = array.get(fractaldown_save,  1)
Bottom_3 = array.get(fractaldown_save,  2)
Top_1 = array.get(fractalup_save, 0)
Top_2 = array.get(fractalup_save, 1)
Top_3 = array.get(fractalup_save, 2)
//----------------------------------------------------------------------------------------------------------



//  ||---   Fractal Buy Sell Signal:
bool Signal_Test = false
bool Signal_Test_OUT_TEMP = false
var Signal_Test_TEMP = false
longLossPerc = input(title="Long Stop Loss (%)", minval=0.0, step=0.1, defval=0.01) * 0.01
if filteredbotf and open < Bottom_1 and (Bottom_1 - open) / Bottom_1 >= longLossPerc
    Signal_Test := true
if filteredtopf and open > Top_1
    Signal_Test_TEMP := true
if filteredtopf and Signal_Test_TEMP
    Signal_Test_TEMP := false
    Signal_Test_OUT_TEMP := true
//----------------------------------------------------------------------------------------------------------



//  ||---   Plotting:
//plotshape(filteredtopf, style=shape.triangledown, location=location.abovebar, color=color.red, text="•", offset=0)
//plotshape(filteredbotf, style=shape.triangleup, location=location.belowbar, color=color.lime, text="•", offset=0)
//plotshape(ShowSwingsHL ? highswings : na, style=shape.triangledown, location=location.abovebar, color=color.maroon, text="H", offset=0)
//plotshape(ShowSwingsHL ? lowswings : na, style=shape.triangleup, location=location.belowbar, color=color.green, text="L", offset=0)
plot(showchannel ? (filteredtopf ? high[2] : na) : na, color=color.black, offset=0)
plot(showchannel ? (filteredbotf ? low[2] : na) : na, color=color.black, offset=0)
plot(showchannel ? (highswings ? high[2] : na) : na, color=color.black, offset=-2)
plot(showchannel ? (lowswings ? low[2] : na) : na, color=color.black, offset=-2)
plotshape(Signal_Test, style=shape.flag, location=location.belowbar, color=color.yellow, offset=0)
plotshape(Signal_Test_OUT_TEMP, style=shape.flag, location=location.abovebar, color=color.white, offset=0)
//----------------------------------------------------------------------------------------------------------



//  ||---   Buy And Sell:
strategy.entry(id="Long", long=true, when = Signal_Test and afterStartDate)
strategy.close_all(when = Signal_Test_OUT_TEMP and afterStartDate)
//----------------------------------------------------------------------------------------------------------