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Strategi Pengurusan Wang Dinamik Multifactor

Penulis:ChaoZhang, Tarikh: 2023-10-17 15:09:59
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Ringkasan

Strategi ini mengintegrasikan MACD, RSI, PSAR dan penunjuk teknikal lain bersama-sama dengan metodologi pengurusan wang dinamik untuk mengesan trend dan membuat perdagangan pembalikan merentasi pelbagai jangka masa.

Prinsip-prinsip

Strategi ini menggunakan penunjuk PSAR untuk menentukan arah trend. Persalinan antara garis tengah EMA dan BB berfungsi sebagai titik pengesahan pertama. Arah histogram MACD bertindak sebagai titik pengesahan kedua. Kawasan overbought dan oversold RSI berfungsi sebagai titik pengesahan ketiga. Isyarat perdagangan dihasilkan apabila semua syarat di atas dipenuhi.

Selepas memasuki kedudukan, mengambil keuntungan dan titik hentian kerugian ditetapkan. Titik hentian kerugian ditentukan dengan mengalikan nilai ATR dengan nombor tetap. Titik hentian keuntungan dikira dengan cara yang sama. Sementara itu, peratusan hentian kerugian terapung ditetapkan. Apabila kerugian mencapai peratusan tertentu daripada jumlah ekuiti akaun, hentian kerugian akan dicetuskan.

Terdapat juga penetapan peratusan untuk keuntungan terapung. Apabila keuntungan mencapai peratusan tertentu daripada jumlah ekuiti akaun, mengambil keuntungan akan dicetuskan.

Pengurusan wang dinamik mengira saiz kedudukan berdasarkan jumlah ekuiti akaun, nilai ATR dan pengganda yang digunakan untuk berhenti kerugian.

Kelebihan

  1. Pengesahan faktor berbilang mengelakkan pelarian palsu dan meningkatkan ketepatan kemasukan.

  2. Pengurusan wang yang dinamik mengawal risiko perdagangan tunggal dan melindungi akaun dengan berkesan.

  3. Titik stop loss dan mengambil keuntungan ditetapkan mengikut ATR, yang boleh diselaraskan berdasarkan turun naik pasaran.

  4. Tetapan peratusan kerugian dan keuntungan terapung mengunci keuntungan dan menghalang penarikan balik.

Risiko

  1. Gabungan pelbagai faktor mungkin kehilangan beberapa peluang perdagangan.

  2. Tetapan peratusan yang tinggi boleh membawa kepada kerugian yang lebih besar.

  3. Tetapan nilai ATR yang tidak betul boleh menyebabkan stop loss dan mengambil mata keuntungan yang terlalu luas atau terlalu agresif.

  4. Tetapan pengurusan wang yang tidak betul boleh membawa kepada saiz kedudukan yang terlalu besar.

Arahan pengoptimuman

  1. Sesuaikan berat faktor untuk meningkatkan ketepatan isyarat.

  2. Uji tetapan parameter peratusan yang berbeza untuk mencari kombinasi yang optimum.

  3. Pilih pengganda ATR yang munasabah berdasarkan ciri produk yang berbeza.

  4. Dinamis menyesuaikan parameter pengurusan wang berdasarkan hasil backtest.

  5. Mengoptimumkan tetapan jangka masa dan sesi perdagangan ujian.

Ringkasan

Strategi ini mengintegrasikan pelbagai penunjuk teknikal untuk penentuan trend dan menambah pengurusan wang dinamik untuk mengawal risiko, merealisasikan keuntungan yang stabil dalam pelbagai jangka masa.


/*backtest
start: 2023-09-16 00:00:00
end: 2023-10-16 00:00:00
period: 10m
basePeriod: 1m
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/
// © SoftKill21

//@version=4
strategy("EURUSD 1min strat RISK %% ", overlay=false, initial_capital = 1000)

// BACKTESTING RANGE
 
// From Date Inputs
fromDay = input(defval = 1, title = "From Day", minval = 1, maxval = 31)
fromMonth = input(defval = 6, title = "From Month", minval = 1, maxval = 12)
fromYear = input(defval = 2020, title = "From Year", minval = 1970)
 
// To Date Inputs
toDay = input(defval = 1, title = "To Day", minval = 1, maxval = 31)
toMonth = input(defval = 12, title = "To Month", minval = 1, maxval = 12)
toYear = input(defval = 2020, title = "To Year", minval = 1970)
 
// Calculate start/end date and time condition
DST = 1 //day light saving for usa
//--- Europe
London = iff(DST==0,"0000-0900","0100-1000")
//--- America
NewYork = iff(DST==0,"0400-1500","0500-1600")
//--- Pacific
Sydney = iff(DST==0,"1300-2200","1400-2300")
//--- Asia
Tokyo = iff(DST==0,"1500-2400","1600-0100")

//-- Time In Range
timeinrange(res, sess) => time(res, sess) != 0

london = timeinrange(timeframe.period, London)
newyork = timeinrange(timeframe.period, NewYork)

startDate = timestamp(fromYear, fromMonth, fromDay, 00, 00)
finishDate = timestamp(toYear, toMonth, toDay, 00, 00)
time_cond = true
// 
// 


// rsi
length = input( 5 )
overSold = input( 23 )
overBought = input( 72 )
price = close

vrsi = rsi(price, length)
co = crossover(vrsi, overSold)
cu = crossunder(vrsi, overBought)

// macd
fast_length_macd = input(title="Fast Length", type=input.integer, defval=12)
slow_length_macd = input(title="Slow Length", type=input.integer, defval=26)
src_macd = input(title="Source", type=input.source, defval=close)
signal_length = input(title="Signal Smoothing", type=input.integer, minval = 1, maxval = 50, defval = 9)
sma_source = input(title="Simple MA(Oscillator)", type=input.bool, defval=true)
sma_signal = input(title="Simple MA(Signal Line)", type=input.bool, defval=true)

// Plot colors
col_grow_above = #26A69A
col_grow_below = #FFCDD2
col_fall_above = #B2DFDB
col_fall_below = #EF5350
col_macd = #0094ff
col_signal = #ff6a00

// Calculating
fast_ma = sma_source ? sma(src_macd, fast_length_macd) : ema(src_macd, fast_length_macd)
slow_ma = sma_source ? sma(src_macd, slow_length_macd) : ema(src_macd, slow_length_macd)
macd = fast_ma - slow_ma
signal = sma_signal ? sma(macd, signal_length) : ema(macd, signal_length)
hist = macd - signal

//plot(hist, title="Histogram", style=plot.style_columns, color=(hist>=0 ? (hist[1] < hist ? col_grow_above : col_fall_above) : (hist[1] < hist ? col_grow_below : col_fall_below) ), transp=0 )


// sar
start = input(0.02)
increment = input(0.02)
maximum = input(0.2)

var bool uptrend = na
var float EP = na
var float SAR = na
var float AF = start
var float nextBarSAR = na

if bar_index > 0
    firstTrendBar = false
    SAR := nextBarSAR
    
    if bar_index == 1
        float prevSAR = na
        float prevEP = na
        lowPrev = low[1]
        highPrev = high[1]
        closeCur = close
        closePrev = close[1]

        if closeCur > closePrev
            uptrend := true
            EP := high
            prevSAR := lowPrev
            prevEP := high
        else
            uptrend := false
            EP := low
            prevSAR := highPrev
            prevEP := low
        
        firstTrendBar := true
        SAR := prevSAR + start * (prevEP - prevSAR)
    
    if uptrend
        if SAR > low
            firstTrendBar := true
            uptrend := false
            SAR := max(EP, high)
            EP := low
            AF := start
    else
        if SAR < high
            firstTrendBar := true
            uptrend := true
            SAR := min(EP, low)
            EP := high
            AF := start
    
    if not firstTrendBar
        if uptrend
            if high > EP
                EP := high
                AF := min(AF + increment, maximum)
        else
            if low < EP
                EP := low
                AF := min(AF + increment, maximum)
    
    if uptrend
        SAR := min(SAR, low[1])
        if bar_index > 1
            SAR := min(SAR, low[2])
    else
        SAR := max(SAR, high[1])
        if bar_index > 1
            SAR := max(SAR, high[2])
    
    nextBarSAR := SAR + AF * (EP - SAR)
    


//plot(SAR, style=plot.style_cross, linewidth=3, color=color.orange)
//plot(nextBarSAR, style=plot.style_cross, linewidth=3, color=color.aqua)
//plot(strategy.equity, title="equity", color=color.red, linewidth=2, style=plot.style_areabr)

//bb
length_bb = input(17, minval=1)
src_bb = input(close, title="Source")
mult_bb = input(2.0, minval=0.001, maxval=50, title="StdDev")
basis_bb = sma(src_bb, length_bb)
dev_bb = mult_bb * stdev(src_bb, length_bb)
upper_bb = basis_bb + dev_bb
lower_bb = basis_bb - dev_bb
offset = input(0, "Offset", type = input.integer, minval = -500, maxval = 500)
//plot(basis_bb, "Basis", color=#872323, offset = offset)
//p1_bb = plot(upper_bb, "Upper", color=color.teal, offset = offset)
//p2_bb = plot(lower_bb, "Lower", color=color.teal, offset = offset)

//fill(p1_bb, p2_bb, title = "Background", color=#198787, transp=95)

//ema

len_ema = input(10, minval=1, title="Length")
src_ema = input(close, title="Source")
offset_ema = input(title="Offset", type=input.integer, defval=0, minval=-500, maxval=500)
out_ema = ema(src_ema, len_ema)
//plot(out_ema, title="EMA", color=color.blue, offset=offset_ema) 
//out_ema e emaul
//basis_bb e middle de la bb
//hist e histograma
// rsi cu band0 cross pt rsi

// confirmarea

shortCondition = (uptrend==false and crossunder(ema(src_ema, len_ema),sma(src_bb, length_bb)) and  hist < 0  and vrsi <   overSold) //and time_cond
longCondition = (uptrend==true and crossover(ema(src_ema, len_ema),sma(src_bb, length_bb))  and hist > 0 and vrsi >  overBought ) //and time_cond

//tp=input(0.0025,type=input.float, title="tp")
//sl=input(0.001,type=input.float, title="sl")

//INDICATOR---------------------------------------------------------------------    
    //Average True Range (1. RISK)
atr_period = input(14, "Average True Range Period")
atr = atr(atr_period)

strategy.initial_capital = 50000

//MONEY MANAGEMENT--------------------------------------------------------------
balance = strategy.netprofit + strategy.initial_capital //current balance
floating = strategy.openprofit          //floating profit/loss
risk = input(2,type=input.float,title="Risk %")/100           //risk % per trade
isTwoDigit = input(false,"Is this a 2 digit pair? (JPY, XAU, XPD...")

equity_protector = input(1 ,type=input.float, title="Equity Protection %")/100  //equity protection %
equity_protectorTP = input(2 ,type=input.float, title="Equity TP %")/100  //equity protection %
multtp = input(5,type=input.float, title="multi atr tp")
multsl = input(5,type=input.float, title="multi atr sl")
stop = atr*100000*input(1,"SL X")* multsl    //Stop level
if(isTwoDigit)
    stop := stop/100
target = atr*100000*input(1,"TP X")*multtp    //Stop level
    //Calculate current DD and determine if stopout is necessary
equity_stopout = false

if(floating<0 and abs(floating/balance)>equity_protector)
    equity_stopout := true
    
equity_stopout2 = false
if(floating>0 and abs(floating/balance)>equity_protectorTP)
    equity_stopout2 := true
    
    //Calculate the size of the next trade
temp01 = balance * risk     //Risk in USD
temp02 = temp01/stop        //Risk in lots
temp03 = temp02*100000      //Convert to contracts
size = temp03 - temp03%1000 //Normalize to 1000s (Trade size)
if(size < 10000)
    size := 10000           //Set min. lot size

//TRADE EXECUTION---------------------------------------------------------------
strategy.close_all(equity_stopout, comment="equity sl", alert_message = "equity_sl")      //Close all trades w/equity protector
//strategy.close_all(equity_stopout2, comment="equity tp", alert_message = "equity_tp")      //Close all trades w/equity protector
is_open = strategy.opentrades > 0


strategy.entry("long",true,oca_name="a",when=longCondition and not is_open)  //Long entry
strategy.entry("short",false,oca_name="a",when=shortCondition and not is_open) //Short entry
    
strategy.exit("exit_long","long",loss=stop, profit=target)      //Long exit (stop loss)
strategy.close("long",when=shortCondition)            //Long exit (exit condition)
strategy.exit("exit_short","short",loss=stop, profit=target)      //Short exit (stop loss)
strategy.close("short",when=longCondition)            //Short exit (exit condition)


//strategy.entry("long", strategy.long,size,when=longCondition , comment="long" , alert_message = "long")
//strategy.entry("short", strategy.short, size,when=shortCondition , comment="short" , alert_message = "short")
 
//strategy.exit("closelong", "long" , profit = close * tp / syminfo.mintick,  alert_message = "closelong")
//strategy.exit("closeshort", "short" , profit = close * tp / syminfo.mintick, alert_message = "closeshort")
 
//strategy.exit("closelong", "long" ,size, profit = close * tp / syminfo.mintick, loss = close * sl / syminfo.mintick, alert_message = "closelong")
//strategy.exit("closeshort", "short" , size, profit = close * tp / syminfo.mintick, loss = close * sl / syminfo.mintick, alert_message = "closeshort")
 
//strategy.close("long" , when=not (time_cond), comment="time", alert_message = "closelong" )
//strategy.close("short" , when=not (time_cond), comment="time", alert_message = "closeshort")
//strategy.close_all(when=not (time_cond), comment ='time')



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