RSI Trend Mengikuti Strategi dengan Stop Loss Trailing

Penulis:ChaoZhang, Tarikh: 2024-01-31 15:13:18
Tag:

img

Ringkasan

Ini adalah strategi perdagangan kuantitatif yang menggunakan penunjuk RSI untuk menentukan trend pasaran dan menetapkan stop loss dan mengambil keuntungan untuk mengunci keuntungan dan meminimumkan risiko.

Logika Strategi

Strategi ini terutamanya menggunakan penunjuk RSI untuk menentukan arah trend pasaran untuk perdagangan panjang atau pendek. Apabila garis RSI melintasi di atas garis bawah, ia ditentukan sebagai trend menaik dan pergi panjang. Apabila garis RSI melintasi di bawah garis atas, ia dinilai sebagai trend menurun dan pergi pendek.

Pada masa yang sama, strategi ini mengesan harga masuk setiap pesanan dan menetapkan stop loss terapung dan mengambil keuntungan. Untuk pesanan panjang, peratusan tertentu daripada harga masuk ditetapkan sebagai garis stop loss, dan untuk pesanan pendek, peratusan tertentu daripada harga masuk ditetapkan sebagai garis mengambil keuntungan. Apabila harga mencapai stop loss atau mengambil keuntungan, kedudukan akan ditutup secara automatik.

Kelebihan

  • Menggunakan penunjuk RSI untuk menentukan trend pasaran, mengelakkan perdagangan di pasaran yang terikat julat;
  • Tetapkan stop loss dan mengambil keuntungan yang boleh berubah untuk mengunci keuntungan secara fleksibel dan mengawal risiko dengan berkesan;
  • Parameter RSI dan nisbah stop loss / mengambil keuntungan boleh diselaraskan untuk pengoptimuman.

Risiko

  • Indikator RSI mempunyai beberapa ketinggalan, mungkin terlepas titik pembalikan trend jangka pendek;
  • Hentikan kerugian dan ambil keuntungan garis yang terlalu dekat boleh menjadi mudah.

Pengoptimuman

  • Uji penunjuk RSI dengan tempoh yang berbeza;
  • Uji kombinasi parameter yang berbeza untuk mencari nisbah stop loss/take profit yang optimum;
  • Tambah penunjuk tambahan untuk penapisan isyarat.

Kesimpulan

Ringkasnya, ini adalah strategi perdagangan kuantitatif yang menggunakan penunjuk RSI untuk mengesan trend dan menggabungkan stop loss terapung dan mengambil keuntungan. Berbanding dengan strategi penunjuk tunggal, strategi ini menguruskan risiko dengan cukup baik dengan mengunci keuntungan dengan fleksibel. Penambahbaikan lanjut boleh dibuat melalui pengoptimuman parameter dan menambah penunjuk tambahan.


/*backtest
start: 2023-12-01 00:00:00
end: 2023-12-31 23:59:59
period: 1h
basePeriod: 15m
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/
// ©chewyScripts.

//@version=5
strategy("96er RSI+200EMA Strategy + Alerts", overlay=true, shorttitle = "The old 96er - RSI5 + 200 EMA")
//,use_bar_magnifier=false 
// This works best on a small account $100, with 50% of equity and up to 10 max open trades. 
// 96% Profitable, turns $100 into $350 in 1 month. very few losses. super happy with it.
// So far it triples the account on a 1m chart in 1 month back testing on the SEI-USD pair.
// I did not test on FX pairs or other instruments.
// had some issues with the inputs not working so had to hard code some, also the lastClose var sometimes breaks and starts following every candle, not sure why.

in_r1 = input.int(8,"5 day input or RSI1", group = "Signals")
in_lowerRSI = input.int(28,"RSI Lower", group = "Signals")
in_upperRSI = input.int(72,"RSI Upper ", group = "Signals")
in_emaperiod = input.int(200,"EMA Period", group = "Signals")
in_daysback = input.int(1,"Look back days for close/open", group = "Signals")

in_openOrders = input.int(5,"max open orders",tooltip = "Be careful, to high and you will get margin called!! 5 is probably the highest you should go", group = "Order Controls")
in_buybreakout = input.int(40,"Buy breakout range", group = "Order Controls")

in_buyTP = input.float(1.1500,"Buy TP: 1+TP %, .05 seems to work well.", group = "TPSL")
in_sellTP = input.float(0.9750, "Sell TP: 1-TP%. .025 seems to work well. ", group = "TPSL")

in_useAlerts = input.bool(false,"Turns on Buy/Sell Alerts",group = "Alerts")
in_useCustomAlertMSG = input.bool(false,"Use default Buy/Sell or the messages below",group = "Alerts")
in_alertBuySignalTxt = input("Buy","Buy signal API/TXT message template", tooltip = "Review the UserGuid on JSON varibles in alerts", group = "Alerts")
in_alertSellSignalTxt = input("Sell","Sell signal API/TXT message template", tooltip = "Review the UserGuid on JSON varibles in alerts", group = "Alerts")

simple int rsi5 = in_r1

// 3 rsi strategy , when all of them are overbought we sell, and vice versa
rsi7 = ta.rsi(close,rsi5)
[lastOpen, lastClose] = request.security(syminfo.tickerid, "D", [open,close], lookahead = barmerge.lookahead_on)
rsi3 = ta.rsi(close[5],rsi5)

ma = ta.ema(close,in_emaperiod)

plot(rsi7,"5 Day RSI",color.red)
plot(lastClose,"Previous Days Close",color.green)
plot(lastOpen,"Previous Days Open",color.white)
plot(rsi3,"Previous 5th candles RSI",color.purple)
plot(ma,"200 EMA",color.blue)


//sell = ta.crossunder(rsi7,70) and ta.crossunder(rsi14,70) and ta.crossunder(rsi21,70)
//buy = ta.crossover(rsi7,in_lowerRSI) and close < ma and rsi3 <= in_upperRSI and strategy.opentrades < in_openOrders
//sell = ta.crossunder(rsi7,in_upperRSI) and close > ma and rsi3 >= in_lowerRSI3 and strategy.opentrades < in_openOrders

//buy condition
buy = ta.crossover(rsi7,in_lowerRSI) and close < ma and close < lastClose and strategy.opentrades < in_openOrders

// sell condition
sell = ta.crossunder(rsi7,in_upperRSI) and close > ma and close > lastClose and strategy.opentrades < in_openOrders


var lastBuy = close 
var lastSell = close 
//var buyLabel = label.new(na,na,yloc = yloc.belowbar, style = label.style_none, textcolor = color.green, size = size.normal)
//var sellLabel = label.new(na,na,yloc = yloc.abovebar, style = label.style_none, textcolor = color.red, size = size.normal)
if (buy)
    strategy.entry("BUY", strategy.long,alert_message = "Buy @"+str.tostring(close))
    lastBuy := close 
    //buyLabel := label.new(na,na,yloc = yloc.belowbar, style = label.style_none, textcolor = color.green, size = size.normal)
    //label.set_x(buyLabel,bar_index)
    //label.set_y(buyLabel,low)
    //label.set_text(buyLabel,"Buy!!@ " +str.tostring(lastBuy)  + "\n TP: " + str.tostring(lastBuy*in_buyTP) + "\n↑")
    if(not in_useAlerts)
        alert("Buy")

//label.delete(buyLabel)

if ((close >= lastBuy*in_buyTP ) or (rsi7 > in_buybreakout) and close >= lastClose and (close >= lastClose*in_buyTP or close >= lastBuy*in_buyTP ) )
    //label.new(bar_index,na,"TP!!@ " +str.tostring(close), yloc = yloc.abovebar, style = label.style_none, textcolor = color.green, size = size.normal)
    strategy.close("BUY", "BUY Exit",alert_message = "Buy Exit: TP @" +str.tostring(close) + " OR TP: " + str.tostring(lastBuy*in_buyTP))    
    if(not in_useAlerts)
        alert("Buy Exit")
    
if (sell)
    strategy.entry("SELL", strategy.short, alert_message = "Sell @ " + str.tostring(close))
    lastSell := close    
    //sellLabel := label.new(na,na,yloc = yloc.abovebar, style = label.style_none, textcolor = color.red, size = size.normal)
    //label.set_x(sellLabel,bar_index)
    //label.set_y(sellLabel,high)
    //label.set_text(sellLabel,"Sell!!@ " +str.tostring(lastSell)  + "\n TP: " + str.tostring(lastSell*in_sellTP) + "\n🠇")
    if(not in_useAlerts)
        alert("Sell")

//label.delete(sellLabel)

if ( close < ma and (close <= lastSell*in_sellTP ) or (close < lastClose*in_sellTP) )
    //label.new(bar_index,na,"TP!!@ " +str.tostring(close), yloc = yloc.belowbar, style = label.style_none, textcolor = color.red, size = size.normal)
    strategy.close("SELL", "Sell Exit", alert_message = "Sell Exit TP @" +str.tostring(close) + " OR TP: " + str.tostring(lastSell*in_sellTP))
    if(not in_useAlerts)
        alert("Sell Exit")


   
alertcondition(buy and in_useAlerts,"Buy Alert","test")

Lebih lanjut