Tren Mengikuti Strategi Stop Loss MA

Penulis:ChaoZhang, Tanggal: 2023-10-10 10:36:16
Tag:

Gambaran umum

Strategi ini menggunakan kombinasi rata-rata bergerak dan indeks kekuatan relatif untuk menentukan arah tren, dan menerapkan mekanisme stop loss trailing untuk mencapai target keuntungan.

Logika Strategi

Strategi ini menggunakan indikator RSI untuk menentukan tren pasar saat ini. RSI di bawah 30 dianggap bearish, sementara di atas 70 dianggap bullish. Ketika RSI crossover menandakan tren bullish, itu akan panjang. Ketika RSI crossover menandakan tren bearish, itu akan pendek.

Setelah membuka posisi, strategi ini menggunakan mekanisme stop loss bergerak untuk melacak perubahan harga dan mengunci keuntungan. Secara khusus, strategi ini mencatat harga masuk rata-rata dari setiap posisi. Ketika harga mencapai 1% dari harga masuk, strategi ini akan mengaktifkan mekanisme stop loss bergerak, memindahkan garis stop loss berdasarkan perbedaan antara harga saat ini dan harga tertinggi.

Ketika harga mencapai level stop loss, maka akan keluar dari posisi. Ketika harga mencapai 3% dari harga masuk, maka akan mengambil keuntungan. Dengan menggunakan perlindungan ganda dari stop loss dan take profit, maka akan mencapai target keuntungan.

Keuntungan

  • Menggunakan RSI untuk menentukan arah tren memungkinkan penilaian cepat momentum pasar
  • Stop loss bergerak dapat menyesuaikan tingkat stop loss secara fleksibel berdasarkan perubahan harga real-time, menghindari stop loss prematur
  • Perlindungan ganda dari stop loss dan take profit menjamin keuntungan tertentu sambil mengendalikan risiko

Risiko

  • RSI dapat menandakan entri yang salah jika digunakan sendiri
  • Jarak stop loss yang terlalu kecil dapat diaktifkan dengan mudah, sementara terlalu longgar mungkin gagal menghentikan loss
  • Penentuan keuntungan yang tidak tepat juga dapat gagal mencapai target keuntungan

Indikator tambahan dapat ditambahkan untuk mengkonfirmasi sinyal RSI dan mengurangi sinyal palsu. mengoptimalkan stop loss dan mengambil tingkat keuntungan berdasarkan backtesting juga dapat membantu menemukan kombinasi parameter terbaik.

Optimalisasi

  • Tambahkan Bollinger Bands atau KD untuk mengkonfirmasi sinyal tren dan menghindari entri palsu
  • Penelitian menggunakan penjumlahan dan perkalian untuk memperluas kombinasi indikator
  • Coba konfirmasi multi-timeframe untuk menghindari sinyal palsu pada timeframe tunggal
  • Penelitian mekanisme stop loss adaptif untuk menyesuaikan jarak stop berdasarkan volatilitas pasar

Ringkasan

Secara keseluruhan, ini adalah strategi tren yang sangat profesional dan dapat diandalkan. Ini dapat dengan cepat menentukan arah pasar dan mengunci keuntungan dengan memindahkan stop loss dan mengambil keuntungan. Mengoptimalkan parameter lebih lanjut dan menambahkan indikator konfirmasi dapat meningkatkan tingkat kemenangan dan keandalan. Dengan logika yang jelas dan parameter yang fleksibel, ini adalah contoh yang sangat baik untuk mempelajari strategi perdagangan kuantitatif.


/*backtest
start: 2022-10-03 00:00:00
end: 2023-10-09 00:00:00
period: 1d
basePeriod: 1h
exchanges: [{"eid":"Futures_Binance","currency":"BTC_USDT"}]
*/

//@version=3
// Learn more about Autoview and how you can automate strategies like this one here: https://autoview.with.pink/
// strategy("Autoview Build-a-bot - 1m chart", "Strategy", overlay=true, pyramiding=2000, default_qty_value=10000)
// study("Autoview Build-a-bot", "Alerts")

///////////////////////////////////////////////
//* Backtesting Period Selector | Component *//
///////////////////////////////////////////////

//* https://www.tradingview.com/script/eCC1cvxQ-Backtesting-Period-Selector-Component *//
//* https://www.tradingview.com/u/pbergden/ *//
//* Modifications made *//

testStartYear = input(1, "Backtest Start Year") 
testStartMonth = input(11, "Backtest Start Month")
testStartDay = input(10, "Backtest Start Day")
testPeriodStart = timestamp(testStartYear,testStartMonth,testStartDay,0,0)

testStopYear = input(77777777, "Backtest Stop Year")
testStopMonth = input(11, "Backtest Stop Month")
testStopDay = input(15, "Backtest Stop Day")
testPeriodStop = timestamp(testStopYear,testStopMonth,testStopDay,0,0)

testPeriod() => true

/////////////////////////////////////
//* Put your strategy logic below *//
/////////////////////////////////////
RSIlength = input(6,title="RSI Period Length") 
price = close
vrsi = (rsi(price, RSIlength))
src = close
len = input(2, minval=1, title="Length")

up = rma(max(change(src), 0), len)
down = rma(-min(change(src), 0), len)
rsi = down == 0 ? 100 : up == 0 ? 0 : 100 - (100 / (1 + up / down))

rsin = input(14)
sn = 100 - rsin
ln = 0 + rsin

// Put your long and short rules here
longLocic = crossunder(rsi, ln)
shortLogic = crossover(rsi, sn)

//////////////////////////
//* Strategy Component *//
//////////////////////////

isLong = input(true, "Longs Only")
isShort = input(false, "Shorts Only")
isFlip = input(false, "Flip the Opens")

long = longLocic
short = shortLogic

if isFlip
    long := shortLogic
    short := longLocic
else
    long := longLocic
    short := shortLogic

if isLong
    long := long
    short := na

if isShort
    long := na
    short := short
    
////////////////////////////////
//======[ Signal Count ]======//
////////////////////////////////

sectionLongs = 0
sectionLongs := nz(sectionLongs[1])
sectionShorts = 0
sectionShorts := nz(sectionShorts[1])

if long
    sectionLongs := sectionLongs + 1
    sectionShorts := 0

if short
    sectionLongs := 0
    sectionShorts := sectionShorts + 1

//////////////////////////////
//======[ Pyramiding ]======//
//////////////////////////////

pyrl = input(2, "Pyramiding less than") // If your count is less than this number
pyre = input(1, "Pyramiding equal to") // If your count is equal to this number
pyrg = input(1000000, "Pyramiding greater than") // If your count is greater than this number

longCondition = long and sectionLongs <= pyrl or long and sectionLongs >= pyrg or long and sectionLongs == pyre ? 1 : 0 and vrsi < 20
shortCondition = short and sectionShorts <= pyrl or short and sectionShorts >= pyrg or short and sectionShorts == pyre ? 1 : 0

////////////////////////////////
//======[ Entry Prices ]======//
////////////////////////////////

last_open_longCondition = na
last_open_shortCondition = na
last_open_longCondition := longCondition ? close : nz(last_open_longCondition[1])
last_open_shortCondition := shortCondition ? close : nz(last_open_shortCondition[1])

////////////////////////////////////
//======[ Open Order Count ]======//
////////////////////////////////////

sectionLongConditions = 0
sectionLongConditions := nz(sectionLongConditions[1])
sectionShortConditions = 0
sectionShortConditions := nz(sectionShortConditions[1])

if longCondition
    sectionLongConditions := sectionLongConditions + 1
    sectionShortConditions := 0

if shortCondition
    sectionLongConditions := 0
    sectionShortConditions := sectionShortConditions + 1
    
///////////////////////////////////////////////
//======[ Position Check (long/short) ]======//
///////////////////////////////////////////////

last_longCondition = na
last_shortCondition = na
last_longCondition := longCondition ? time : nz(last_longCondition[1])
last_shortCondition := shortCondition ? time : nz(last_shortCondition[1])

in_longCondition = last_longCondition > last_shortCondition
in_shortCondition = last_shortCondition > last_longCondition

/////////////////////////////////////
//======[ Position Averages ]======//
/////////////////////////////////////

totalLongs = 0.0
totalLongs := nz(totalLongs[1])
totalShorts = 0.0
totalShorts := nz(totalShorts[1])
averageLongs = 0.0
averageLongs := nz(averageLongs[1])
averageShorts = 0.0
averageShorts := nz(averageShorts[1]) 

if longCondition
    totalLongs := totalLongs + last_open_longCondition
    totalShorts := 0.0

if shortCondition
    totalLongs := 0.0
    totalShorts := totalShorts + last_open_shortCondition

averageLongs := totalLongs / sectionLongConditions
averageShorts := totalShorts / sectionShortConditions

/////////////////////////////////
//======[ Trailing Stop ]======//
/////////////////////////////////

isTS = input(false, "Trailing Stop")
tsi = input(100, "Activate Trailing Stop Price (%). Divided by 100 (1 = 0.01%)") / 100 
ts = input(100, "Trailing Stop (%). Divided by 100 (1 = 0.01%)") / 100

last_high = na
last_low = na
last_high_short = na
last_low_short = na
last_high := not in_longCondition ? na : in_longCondition and (na(last_high[1]) or high > nz(last_high[1])) ? high : nz(last_high[1])
last_high_short := not in_shortCondition ? na : in_shortCondition and (na(last_high[1]) or high > nz(last_high[1])) ? high : nz(last_high[1])
last_low := not in_shortCondition ? na : in_shortCondition and (na(last_low[1]) or low < nz(last_low[1])) ? low : nz(last_low[1])
last_low_short := not in_longCondition ? na : in_longCondition and (na(last_low[1]) or low < nz(last_low[1])) ? low : nz(last_low[1])

long_ts = isTS and not na(last_high) and low <= last_high - last_high / 100 * ts and longCondition == 0 and last_high >= averageLongs + averageLongs / 100 * tsi
short_ts = isTS and not na(last_low) and high >= last_low + last_low / 100 * ts and shortCondition == 0 and last_low <= averageShorts - averageShorts/ 100 * tsi

///////////////////////////////
//======[ Take Profit ]======//
///////////////////////////////

isTP = input(true, "Take Profit")
tp = input(33, "Take Profit (%). Divided by 100 (1 = 0.01%)") / 100
long_tp = isTP and close > averageLongs + averageLongs / 100 * tp and not longCondition
short_tp = isTP and close < averageShorts - averageShorts / 100 * tp and not shortCondition

/////////////////////////////
//======[ Stop Loss ]======//
/////////////////////////////

isSL = input(true, "Stop Loss")
sl = input(55, "Stop Loss (%). Divided by 100 (1 = 0.01%)") / 100
long_sl = isSL and close < averageLongs - averageLongs / 100 * sl and longCondition == 0
short_sl = isSL and close > averageShorts + averageShorts / 100 * sl and shortCondition == 0

/////////////////////////////////
//======[ Close Signals ]======//
/////////////////////////////////

longClose = long_tp or long_sl or long_ts ? 1 : 0
shortClose = short_tp or short_sl or short_ts ? 1: 0

///////////////////////////////
//======[ Plot Colors ]======//
///////////////////////////////

longCloseCol = na
shortCloseCol = na
longCloseCol := long_tp ? purple : long_sl ? maroon : long_ts ? blue : longCloseCol[1]
shortCloseCol := short_tp ? purple : short_sl ? maroon : short_ts ? blue : shortCloseCol[1]
tpColor = isTP and in_longCondition ? purple : isTP and in_shortCondition ? purple : white
slColor = isSL and in_longCondition ? red : isSL and in_shortCondition ? red : white

//////////////////////////////////
//======[ Strategy Plots ]======//
//////////////////////////////////

plot(isTS and in_longCondition ? averageLongs + averageLongs / 100 * tsi : na, "Long Trailing Activate", blue, style=3, linewidth=2)
plot(isTS and in_longCondition and last_high >= averageLongs +  averageLongs / 100 * tsi ? last_high - last_high / 100 * ts : na, "Long Trailing", fuchsia, style=2, linewidth=3)
plot(isTS and in_shortCondition ? averageShorts - averageShorts/ 100 * tsi : na, "Short Trailing Activate", blue, style=3, linewidth=2)
plot(isTS and in_shortCondition and last_low <= averageShorts - averageShorts/ 100 * tsi ? last_low + last_low / 100 * ts : na, "Short Trailing", fuchsia, style=2, linewidth=3)
plot(isTP and in_longCondition and last_high < averageLongs + averageLongs / 100 * tp ? averageLongs + averageLongs / 100 * tp : na, "Long TP", tpColor, style=3, linewidth=2)
plot(isTP and in_shortCondition and last_low > averageShorts - averageShorts / 100 * tp ? averageShorts - averageShorts / 100 * tp : na, "Short TP", tpColor, style=3, linewidth=2)
plot(isSL and in_longCondition and last_low_short > averageLongs - averageLongs / 100 * sl ? averageLongs - averageLongs / 100 * sl : na, "Long SL", slColor, style=3, linewidth=2)
plot(isSL and in_shortCondition and last_high_short < averageShorts + averageShorts / 100 * sl ? averageShorts + averageShorts / 100 * sl : na, "Short SL", slColor, style=3, linewidth=2)

///////////////////////////////
//======[ Alert Plots ]======//
///////////////////////////////

// plot(longCondition, "Long", green)
// plot(shortCondition, "Short", red)
// plot(longClose, "Long Close", longCloseCol)
// plot(shortClose, "Short Close", shortCloseCol)

///////////////////////////////////
//======[ Reset Variables ]======//
///////////////////////////////////

if longClose or not in_longCondition
    averageLongs := 0
    totalLongs := 0.0
    sectionLongs := 0
    sectionLongConditions := 0

if shortClose or not in_shortCondition
    averageShorts := 0
    totalShorts := 0.0
    sectionShorts := 0
    sectionShortConditions := 0

////////////////////////////////////////////
//======[ Strategy Entry and Exits ]======//
////////////////////////////////////////////

if testPeriod()
    strategy.entry("Long", 1, when=longCondition)
    strategy.entry("Short", 0,  when=shortCondition)
    strategy.close("Long", when=longClose)
    strategy.close("Short", when=shortClose)
    


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