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Pelacakan strategi perdagangan Stop Loss Moving Average

Penulis:ChaoZhang, Tanggal: 2024-02-01 10:59:06
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Gambaran umum

Ini adalah strategi perdagangan stop loss pelacakan berdasarkan rata-rata bergerak. Ini menggunakan dua garis EMA dengan periode yang berbeda untuk menghasilkan sinyal golden cross dan dead cross untuk perdagangan panjang dan pendek. Sementara itu, strategi ini menggunakan persentase atau metode titik tetap untuk melacak stop loss dan mengambil tingkat keuntungan. Ini memungkinkan strategi untuk mengunci keuntungan sambil mengontrol risiko secara efektif.

Logika Strategi

Strategi ini menggunakan garis EMA cepat dan lambat. EMA cepat bereaksi sensitif sementara EMA lambat bergerak dengan cara yang lebih stabil. Salib emas terbentuk ketika dua garis bergerak ke atas untuk bersilang, menghasilkan sinyal beli. Salib mati terjadi ketika mereka bersilang ke bawah, mendorong sinyal jual. Ini adalah alasan mendasar di balik strategi moving average.

Di atas itu, strategi jejak stop loss dan target keuntungan setelah perdagangan dimasukkan. Secara khusus, tingkat stop loss dan target keuntungan akan menyesuaikan arah yang menguntungkan karena fluktuasi harga. Hal ini memungkinkan keuntungan dikunci sementara risiko dibatasi. Kecepatan trailing dapat dikonfigurasi menggunakan persentase atau titik tetap. Hal ini membuat stop loss dan mengambil keuntungan mekanisme lebih fleksibel dan cerdas.

Keuntungan

  1. Menggunakan crossover EMA ganda untuk menghasilkan sinyal berkualitas dan pengembalian yang stabil.
  2. Mengikuti stop loss dan mengambil keuntungan mengunci keuntungan dan mengendalikan risiko secara efektif.
  3. Mendukung kedua persentase dan titik tetap untuk trailing fleksibel.
  4. Berkinerja baik dalam jangka panjang dengan mekanisme trailing.

Risiko & Optimasi

  1. Stop loss yang terlalu sering dapat mempengaruhi profitabilitas di pasar range.
  2. Sinyal silang EMA memiliki efek keterlambatan dan mungkin kehilangan beberapa peluang.
  3. Data backtest yang tidak cukup dapat menyebabkan overfit.

Kesimpulan

Strategi ini mengintegrasikan kekuatan dari sinyal rata-rata bergerak dan teknik pelacakan tren. Ini menunjukkan kinerja yang stabil dan luar biasa dalam jangka panjang dan memiliki nilai praktis untuk perdagangan langsung. Perbaikan lebih lanjut dapat dicapai melalui penyesuaian parameter dan pengoptimalan kombinasi. Strategi ini layak verifikasi dunia nyata.


/*backtest
start: 2023-01-31 00:00:00
end: 2024-01-31 00:00:00
period: 1d
basePeriod: 1h
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/
// © Sharad_Gaikwad
//@version=5

strategy("Traling.SL.Target", overlay=true, process_orders_on_close = true, max_labels_count = 500)
// << Parameters section {
_1 = input.bool(title = "━━━━━━━ ↓ Pivot parameters for trade ↓ ━━━━━━━", defval = false)
fast_len = input.int(title = 'Fast len', defval = 20)
slow_len = input.int(title = 'Slow len', defval = 50)
label_bg_color = input.color(title = 'BG color for ongoing trade SL/Target label', defval=color.white)
sl_target_method = input.string(title = 'Method to be used for SL/Target trailing', defval='% Based Target and SL', options = ['% Based Target and SL','Fix point Based Target and SL'])
_2 = input.bool(title = "━━━━━━━ ↓ % Based Target and SL ↓ ━━━━━━━", defval = true)
initial_profit_percent = input.float(title = 'Inital profit %', defval = 1) / 100
initial_sl_percent = input.float(title = 'Inital SL %', defval = 1) / 100
initiate_trailing_percent = input.float(title = 'Initiate trailing %', defval = 0.5, tooltip = 'Initiate trailing of target and SL after change in price in % after taking trade') / 100
trail_profit_percent = input.float(title = 'Trail profit by %', defval = 0.3) / 100
trail_sl_percent = input.float(title = 'Trail SL by %', defval = 0.3) / 100

_3 = input.bool(title = "━━━━━━━ ↓ Fix point Based Target and SL ↓ ━━━━━━━", defval = false)
initial_profit_points = input.float(title = 'Inital profit target points', defval = 100)
initial_sl_points = input.float(title = 'Inital SL points', defval = 50)
initiate_trailing_points = input.float(title = 'Initiate trailing points', defval = 60, tooltip = 'Initiate trailing of target and SL after change in price in points after taking trade')
trail_profit_points = input.float(title = 'Trail profit by points', defval = 25)
trail_sl_points = input.float(title = 'Trail SL by %', defval = 30)
// } Parameters section >>


// } << Common function {
tab = table.new(position=position.bottom_right, columns=7, rows=200,frame_color = color.yellow, frame_width = 1)
msg(int row, int col, string msg_str, clr=color.blue) =>
    table.cell(table_id=tab, column=col, row=row, text=msg_str, text_color=clr)

getVal(val) =>
    ret_val = na(val) ? 0 : val

t(val) => str.tostring(val, "0.00")

timeToString(int _t) =>
         str.tostring(dayofmonth(_t), '00') + '/' + 
         str.tostring(month(_t), '00') + '/' + 
         str.tostring(year(_t), '0000') + ' ' + 
         str.tostring(hour(_t), '00') + ':' + 
         str.tostring(minute(_t), '00') + ':' + 
         str.tostring(second(_t), '00')
    
// } Common functions>>


// Variable declarations {
percent_based = sl_target_method  == '% Based Target and SL' ? true : false
var initial_long_entry_price = float(na)
var initial_short_entry_price = float(na)
var long_target = float(na)
var long_sl = float(na)
var short_target = float(na)
var short_sl = float(na)
var long_entry_price = float(na)
var short_entry_price = float(na)
var initial_long_percent_target = float(na)
var initial_long_percent_sl = float(na)
var initial_long_point_target = float(na)
var initial_long_point_sl = float(na)
var initial_short_percent_target = float(na)
var initial_short_percent_sl = float(na)
var initial_short_point_target = float(na)
var initial_short_point_sl = float(na)
var is_long = bool(na)
var is_short = bool(na)
var trail_long_iteration = int(na)
var trail_short_iteration = int(na)

// }

// derive important variable values



// Strategy logic
fast_ema = ta.ema(close, fast_len)
slow_ema = ta.ema(close, slow_len)
plot(fast_ema, color = color.red)
plot(slow_ema, color = color.green)
go_long = ta.crossover(fast_ema, slow_ema) and strategy.position_size == 0
go_short = ta.crossunder(fast_ema, slow_ema) and strategy.position_size == 0

// barcolor(ph ? color.purple : na, offset = -lb)
// barcolor(pl ? color.yellow : na, offset = -lb)


// barcolor(ph ? color.white : na)
// barcolor(pl ? color.blue : na)

// //trailing logic for long
long_trailing_point = percent_based ? (close >= long_entry_price + (long_entry_price * initiate_trailing_percent)) :
     (close >= long_entry_price + initiate_trailing_points)

short_trailing_point = percent_based ? (close <= short_entry_price - (short_entry_price * initiate_trailing_percent)) :
     (close >= short_entry_price - initiate_trailing_points)

if(is_long and long_trailing_point)
    // initial_long_percent_target = initial_long_percent_target + (initial_long_percent_target * trail_profit_percent)
    // initial_long_percent_sl = initial_long_percent_sl - (initial_long_percent_sl * trail_sl_percent)

    // initial_long_point_target = initial_long_point_target + trail_profit_points
    // initial_long_point_sl = initial_long_point_sl - trail_sl_points
    trail_long_iteration :=  trail_long_iteration + 1
    long_target := percent_based ? (long_target + (long_target * trail_profit_percent)) : 
         (long_target + trail_profit_points)
         
    long_sl := percent_based ? (long_sl + (long_sl * trail_sl_percent)) :
         (long_sl + trail_sl_points)
    
    long_entry_price := percent_based ? (long_entry_price + (long_entry_price * initiate_trailing_percent)) :
         (long_entry_price + initiate_trailing_points)

if(is_short and short_trailing_point)
    // initial_short_percent_target = initial_short_percent_target - (initial_short_percent_target * trail_profit_percent)
    // initial_short_percent_sl = initial_short_percent_sl + (initial_short_percent_sl * trail_sl_percent)

    // initial_short_point_target = initial_short_point_target - trail_profit_points
    // initial_short_point_sl = initial_short_point_sl + trail_sl_points
    trail_short_iteration :=  trail_short_iteration + 1
    short_target := percent_based ? (short_target - (short_target * trail_profit_percent)) : 
         (short_target - trail_profit_points)
         
    short_sl := percent_based ? (short_sl - (short_sl * trail_sl_percent)) :
         (short_sl - trail_sl_points)
    
    short_entry_price := percent_based ? (short_entry_price - (short_entry_price * initiate_trailing_percent)) :
         (short_entry_price - initiate_trailing_points)
    
if(go_long)
    is_long := true
    is_short := false
    trail_long_iteration := 0
    trail_short_iteration := 0
    initial_long_entry_price := close
    long_entry_price := close
    
    initial_long_percent_target := close + (close * initial_profit_percent)
    initial_long_percent_sl := close - (close * initial_sl_percent)

    initial_long_point_target := close + initial_profit_points
    initial_long_point_sl := close - initial_sl_points
    
    long_target := percent_based ? initial_long_percent_target : initial_long_point_target
    long_sl := percent_based ? initial_long_percent_sl : initial_long_point_sl 
    
    strategy.entry(id = 'Long', direction = strategy.long)

if(go_short)
    is_long := false
    is_short := true
    trail_long_iteration := 0
    trail_short_iteration := 0
    initial_short_entry_price := close
    short_entry_price := close

    initial_short_percent_target := close - (close * initial_profit_percent)
    initial_short_percent_sl := close + (close * initial_sl_percent)

    initial_short_point_target := close - initial_profit_points
    initial_short_point_sl := close + initial_sl_points

    short_target := percent_based ? initial_short_percent_target : initial_short_point_target
    short_sl := percent_based ? initial_short_percent_sl : initial_short_point_sl 
    
    strategy.entry(id = 'Short', direction = strategy.short)

method = percent_based ? '% Based' : 'Fixed Points'
long_tooltip = 'Long @ ' + timeToString(time) + '\n' +
     'Method             : ' + method + '\n' +
     'Initial Trade Price: ' + t(initial_long_entry_price) + '\n' +
     'Inital Target      : ' + t(long_target) + '\n' + 
     'Inital SL          : ' + t(long_sl) 

short_tooltip = 'Short @ ' + timeToString(time) + '\n' +
     'Method             : ' + method + '\n' +
     'Initial Trade Price: ' + t(initial_short_entry_price) + '\n' +
     'Inital Target      : ' + t(short_target) + '\n' + 
     'Inital SL          : ' + t(short_sl)
     
     
label.new(go_long ? bar_index : na, go_long ? bar_index : na,
     style = label.style_diamond, yloc = yloc.belowbar, color = color.green, size=size.tiny, tooltip = long_tooltip)
     
label.new(go_short ? bar_index : na, go_short ? bar_index : na,
     style = label.style_diamond, yloc = yloc.abovebar, color = color.red, size=size.tiny, tooltip = short_tooltip)
 
trail_long_tooltip = 'Trail @ ' + timeToString(time) + '\n' +
     'Iteration no : ' + t(trail_long_iteration) + '\n' +
     'New Target   : ' + t(long_target) + '\n' +
     'New SL       : ' + t(long_sl)

trail_short_tooltip = 'Trail @ ' + timeToString(time) + '\n' +
     'Iteration no : ' + t(trail_short_iteration) + '\n' +
     'New Target   : ' + t(short_target) + '\n' +
     'New SL       : ' + t(short_sl) 

label.new(is_long and long_trailing_point and strategy.position_size > 0 ? bar_index : na, is_long and long_trailing_point and strategy.position_size > 0 ? bar_index : na,
      text = str.tostring(trail_long_iteration), style = label.style_circle, textcolor = color.white, yloc = yloc.belowbar, color = color.green, size=size.tiny, tooltip = trail_long_tooltip)
     
label.new(is_short and short_trailing_point and strategy.position_size < 0 ? bar_index : na, is_short and short_trailing_point and strategy.position_size < 0 ? bar_index : na,
     text = str.tostring(trail_short_iteration), style = label.style_circle, textcolor = color.white,  yloc = yloc.abovebar, color = color.red, size=size.tiny, tooltip = trail_short_tooltip)
     
strategy.close(id = 'Long', when = close <= long_sl, comment = 'SL')
strategy.close(id = 'Short', when = close >= short_sl, comment = 'SL')

strategy.close(id = 'Long', when = close >= long_target, comment = 'Target')
strategy.close(id = 'Short', when = close <= short_target, comment = 'Target')

// no_of_labels = 1
// label_q(_array, _val) =>
//     array.push(_array, _val)
//     _return = array.shift(_array)

// var target_label = float(na)
// var sl_label = float(na)
// if(strategy.position_size > 0)
//     target_label := long_target
//     sl_label := long_sl
// else if(strategy.position_size < 0)
//     target_label := short_target
//     sl_label := short_sl
// else
//     target_label := float(na)
//     sl_label := float(na)

// var label[] target_array = array.new_label(no_of_labels)
// label.delete(label_q(target_array, label.new(bar_index, target_label, "Target:"+t(target_label), style = label.style_label_down, color = label_bg_color, size=size.small, textcolor = color.green)))

// var label[] sl_array = array.new_label(no_of_labels)
// label.delete(label_q(sl_array, label.new(bar_index, sl_label, "SL:"+t(sl_label), style = label.style_label_up, color = label_bg_color, size=size.small, textcolor = color.red)))




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