Strategi perdagangan kuantitatif menggunakan beberapa indikator teknis
ChaoZhang
Ringkasan
Strategi ini adalah strategi yang menggunakan berbagai indikator teknis untuk melakukan perdagangan kuantitatif. Ini terutama menggunakan EMA crossover, indikator SuperTrend, indikator RSI, indikator MACD dan banyak indikator lainnya untuk membentuk sinyal perdagangan.
Prinsip Strategi
Strategi ini didasarkan pada beberapa hal:
EMA rata-rata garis silang: menghitung garis cepat EMA1 dan garis lambat EMA2, menghasilkan sinyal beli ketika garis cepat melewati garis lambat, menghasilkan sinyal jual ketika garis cepat melewati garis lambat.
Garis rata VWMA: Menghitung garis rata VWMA yang dianggap sebagai sinyal beli saat melewati garis rata di atas harga penutupan dan sebagai sinyal jual saat melewati garis rata di bawahnya.
Indikator SuperTrend: Menghitung naik dan turunnya SuperTrend berdasarkan ATR dan parameter multiplier, dan menentukan arah tren. Menghasilkan sinyal beli dalam tren naik, menghasilkan sinyal jual dalam tren turun.
Indikator RSI: Untuk menghitung indikator RSI, RSI dianggap sebagai sinyal jual ketika berada di atas garis beli dan RSI dianggap sebagai sinyal beli ketika berada di bawah zona beli.
Indikator MACD: Menghitung MACD garis cepat, garis lambat dan garis sinyal, garis cepat menghasilkan sinyal beli ketika melewati garis sinyal, garis cepat menghasilkan sinyal jual ketika melewati garis sinyal.
Setelah mendapatkan sinyal perdagangan dari beberapa indikator di atas, strategi ini menggunakan logika AND dan AND untuk menilai bahwa sinyal pembelian dan penjualan akhir dihasilkan ketika beberapa indikator memancarkan sinyal secara bersamaan.
Keunggulan Strategis
Strategi ini mengintegrasikan berbagai indikator untuk menilai pasar dan secara efektif mengurangi sinyal palsu. Keuntungan utama termasuk:
Filter komposit menggunakan beberapa indikator dapat mengurangi sinyal salah yang disebabkan oleh satu indikator.
Kombinasi indikator tren dan indikator guncangan dapat menghasilkan keuntungan tambahan dalam situasi tren.
Menggunakan logika stop loss yang baik, Anda dapat secara efektif mengontrol kerugian maksimum dalam satu transaksi.
Logika taruhan ganda memungkinkan untuk mendapatkan kembali peluang ini dengan menaikkan posisi setelah kerugian.
Risiko Strategis
Strategi ini memiliki risiko utama sebagai berikut:
Portfolio multi-indikator mungkin terlalu konservatif dan melewatkan beberapa peluang perdagangan. Portfolio indikator dapat disederhanakan sesuai.
Logika kenaikan posisi dua kali lipat dapat menyebabkan kerugian meningkat. Harus diatur batas jumlah kenaikan posisi yang masuk akal.
Stop loss posisi yang tidak tepat dapat menyebabkan stop loss yang tidak perlu. Harus disesuaikan dengan stop loss posisi adaptif.
Setting parameter indikator yang tidak tepat dapat menyebabkan terlalu banyak sinyal yang salah. Parameter harus dioptimalkan untuk mendapatkan kombinasi parameter terbaik.
Arah optimasi strategi
Strategi ini dapat dioptimalkan lebih lanjut dalam beberapa hal:
Evaluasi efek dari berbagai kombinasi parameter indikator, pilih berat indikator.
Uji pengaturan parameter indikator yang berbeda.
Tambahkan logika stop loss adaptif.
Bergabung dengan mekanisme manajemen posisi dinamis.
Optimalkan parameter dan model menggunakan metode pembelajaran mesin.
Meringkaskan
Strategi overall adalah strategi perdagangan kuantitatif yang sangat praktis. Strategi ini menggabungkan keunggulan dari berbagai indikator teknis klasik untuk membuat penilaian pasar yang efektif. Dengan optimasi parameter dan iterasi model, strategi ini dapat memperoleh hasil perdagangan yang lebih baik.
/*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"}]
*/
//@version=5
strategy(title='Pinku Buy', overlay=true)
fromMonth = input.int(defval=1, title='From Month', minval=1, maxval=12)
fromDay = input.int(defval=1, title='From Day', minval=1, maxval=31)
fromYear = input.int(defval=2021, title='From Year', minval=1970)
thruMonth = input.int(defval=1, title='Thru Month', minval=1, maxval=12)
thruDay = input.int(defval=1, title='Thru Day', minval=1, maxval=31)
thruYear = input.int(defval=2112, title='Thru Year', minval=1970)
showDate = input(defval=true, title='Show Date Range')
start = timestamp(fromYear, fromMonth, fromDay, 00, 00)
finish = timestamp(thruYear, thruMonth, thruDay, 23, 59)
window() => true
// ema crossover
length1 = input.int(10)
length2 = input.int(20)
ema1 = ta.ema(close , length1)
ema2 = ta.ema(close , length2)
//vwap
VWAP = ta.vwap(hlc3)
plot(VWAP, color=color.new(color.red, 0), linewidth=3)
buy_1 = close > VWAP
sell_1 = close < VWAP
//vwma
len = input.int(20, 'VWMA_len', minval=1)
ma = ta.vwma(close, len)
plot(ma, color=color.new(color.navy, 0), linewidth=2)
buy_2 = close > ma
sell_2 = close < ma
//super trend
//inputs
Periods = input(title='STR Period', defval=22)
Source = input(hl2, title='Source')
Multiplier = input.float(title='STR Multiplier', step=0.1, defval=5.0)
//Compute ATR Levels
atr = ta.atr(Periods)
//Creating Upper Channel
up = Source - Multiplier * atr
up1 = nz(up[1], up)
up := close[1] > up1 ? math.max(up, up1) : up
//Creating Down Channel
dn = Source + Multiplier * atr
dn1 = nz(dn[1], dn)
dn := close[1] < dn1 ? math.min(dn, dn1) : dn
//Compute the Trend Stream +1/-1
trend = 1
trend := nz(trend[1], trend)
trend := trend == -1 and close > dn1 ? 1 : trend == 1 and close < up1 ? -1 : trend
//Create Stoploss for Longs
upPlot = plot(trend == 1 ? up : na, title='Up Trend', style=plot.style_linebr, linewidth=2, color=color.new(color.green, 0))
//buy_a = close > upPlot
//Buy Signal
buy_3 = trend == 1 and trend[1] == -1
plotshape(buy_3 ? up : na, title='Go Long', location=location.absolute, style=shape.circle, size=size.tiny, color=color.new(color.green, 0))
dnPlot = plot(trend == 1 ? na : dn, title='Down Trend', style=plot.style_linebr, linewidth=2, color=color.new(color.red, 0))
//sell_a = close < dnPlot
//Sell Signal
sell_3 = trend == -1 and trend[1] == 1
plotshape(sell_3 ? dn : na, title='Go Short', location=location.absolute, style=shape.circle, size=size.tiny, color=color.new(color.red, 0))
// //paraboloic sar
// start = input(0.02)
// increment = input(0.02)
// maximum = input(0.2, 'Max Value')
// out = ta.sar(start, increment, maximum)
buy_4 = ema1 > ema2
//buy_4 = buy1 and not buy1[1]
//plotshape(buy_4 , color = color.green , text = "Buy" , location = location.belowbar , textcolor = color.white , style = shape.labelup , size = size.small)
sell_4 = close < ema2
//sell_4 = sell1 and not sell1[1]
//plotshape(sell_4, color = color.red , text = "Sell" , location = location.abovebar , textcolor = color.white , style = shape.labeldown , size = size.small)
plot(ema1, 'ema1', color=color.new(color.green, 0), linewidth=2)
plot(ema2, 'ema2', color=color.new(color.red, 0), linewidth=2)
// rsi
lenr = input(14, title='Rsi Period')
rs = ta.rsi(close, lenr)
over_sold = input(44)
over_bought = input(56)
buy_5 = rs > over_bought
sell_5 = rs < over_sold
// macd
slow_len_macd = input.int(12)
fast_len_macd = input.int(26)
signal_len_macd = input.int(9)
ema3 = ta.ema(close , slow_len_macd)
ema4 = ta.ema(close , fast_len_macd)
ema5 = ta.ema(close , signal_len_macd)
buy_6 = ema5 > ema4
sell_6 = ema5 < ema4
// adx
adxlen = input(14, title="ADX Smoothing")
dilen = input(14, title="DI Length")
dirmov(len) =>
up = ta.change(high)
down = -ta.change(low)
plusDM = na(up) ? na : (up > down and up > 0 ? up : 0)
minusDM = na(down) ? na : (down > up and down > 0 ? down : 0)
truerange = ta.rma(ta.tr, len)
plus = fixnan(100 * ta.rma(plusDM, len) / truerange)
minus = fixnan(100 * ta.rma(minusDM, len) / truerange)
[plus, minus]
adx(dilen, adxlen) =>
[plus, minus] = dirmov(dilen)
sum = plus + minus
adx = 100 * ta.rma(math.abs(plus - minus) / (sum == 0 ? 1 : sum), adxlen)
sig = adx(dilen, adxlen)
//plot(sig, color=color.red, title="ADX")
adx_Greater_than = input.int(25)
signal = sig > adx_Greater_than
// volume ema
volume_ema = input.int(10)
vema = ta.ema(volume,volume_ema)
signal_2 = volume > vema
//define buy sell
g = buy_1 and buy_2 and buy_4 and trend == 1 and buy_5 and buy_6 and signal and signal_2 and window()
r = sell_1 and sell_2 and sell_4 and trend == -1 and sell_5 and sell_6 and signal and signal_2 and window()
rg = 0
rg := r ? 1 : g ? 2 : nz(rg[1])
buy11 = 0
buy11 := r ? 0 : g ? 1 : nz(buy11[1])
sell11 = 0
sell11 := r ? 1 : g ? 0 : nz(sell11[1])
buy = buy11 and not buy11[1]
sell = sell11 and not sell11[1]
multiple_signals = input(true)
if multiple_signals
buy := g and not g[1] and window()
sell := r and not r[1] and window()
sell
else
buy := buy and window()
sell := sell and window()
sell
//plotshape(long , color = color.green , text = "Buy" , location = location.belowbar , textcolor = color.white , style = shape.labelup , size = size.small)
//plotshape(short , color = color.red , text = "Sell" , location = location.abovebar , textcolor = color.white , style = shape.labeldown , size = size.small)
Stop = input(0.5, title='StopLoss') / 100
ProfitPerc = input(defval=1.5, title='Profit') / 100
rev = input(1024,title = "Reverse Limit")
Averaging_position_ = input(true , title = "Averaging position ? ")
qn = 1
qn := nz(qn[1])
long_short = 0
long_last = buy and (nz(long_short[1]) == 0 or nz(long_short[1]) == -1)
short_last = sell and (nz(long_short[1]) == 0 or nz(long_short[1]) == 1)
long_short := long_last ? 1 : short_last ? -1 : long_short[1]
long_entered = false
long_entered := long_entered[1]
short_entered = false
short_entered := short_entered[1]
longPrice = ta.valuewhen(long_last, close, 0)
shortPrice = ta.valuewhen(short_last, close, 0)
longStop = longPrice * (1 - Stop)
shortStop = shortPrice * (1 + Stop)
longTake = longPrice * (1 + ProfitPerc)
shortTake = shortPrice * (1 - ProfitPerc)
plot(long_short == 1 ? longStop : na, style=plot.style_linebr, color=color.new(color.red, 0), linewidth=1, title='Long Fixed SL')
plot(long_short == -1 ? shortStop : na, style=plot.style_linebr, color=color.new(color.red, 0), linewidth=1, title='Short Fixed SL')
plot(long_short == 1 ? longTake : na, style=plot.style_linebr, color=color.new(color.navy, 0), linewidth=1, title='Long Fixed TP')
plot(long_short == -1 ? shortTake : na, style=plot.style_linebr, color=color.new(color.navy, 0), linewidth=1, title='Short Fixed TP')
longBar1 = ta.barssince(long_last)
longBar2 = longBar1 >= 1 ? true : false
shortBar1 = ta.barssince(short_last)
shortBar2 = shortBar1 >= 1 ? true : false
longSLhit = long_short == 1 and longBar2 and low < longStop
if long_entered and sell
longSLhit := true
longSLhit
plotshape(longSLhit and not(sell and not short_entered and long_entered), style=shape.labelup, location=location.belowbar, color=color.new(color.gray, 0), size=size.tiny, title='Stop Loss', text='Long SL', textcolor=color.new(color.white, 0))
shortSLhit = long_short == -1 and shortBar2 and high > shortStop
if short_entered and buy
shortSLhit := true
shortSLhit
plotshape(shortSLhit and not(buy and not long_entered and short_entered), style=shape.labeldown, location=location.abovebar, color=color.new(color.gray, 0), size=size.tiny, title='Stop Loss', text='Short SL', textcolor=color.new(color.white, 0))
longTPhit = long_short == 1 and longBar2 and high > longTake
plotshape(longTPhit, style=shape.labeldown, location=location.abovebar, color=color.new(color.navy, 0), size=size.tiny, title='Target', text='Long TP', textcolor=color.new(color.white, 0))
shortTPhit = long_short == -1 and shortBar2 and low < shortTake
plotshape(shortTPhit, style=shape.labelup, location=location.belowbar, color=color.new(color.navy, 0), size=size.tiny, title='Target', text='Short TP', textcolor=color.new(color.white, 0))
long_short := (long_short == 1 or long_short == 0) and longBar2 and (longSLhit or longTPhit) ? 0 : (long_short == -1 or long_short == 0) and shortBar2 and (shortSLhit or shortTPhit) ? 0 : long_short
if(shortSLhit or longSLhit or (long_entered[1] and sell) or (short_entered[1] and buy ))
qn := qn*2
if(longTPhit or shortTPhit or qn > rev)
qn := 1
if Averaging_position_
qn := 1
plotshape(buy and not long_entered, color=color.new(color.green, 0), style=shape.labelup, text='Buy', textcolor=color.new(color.white, 0), location=location.belowbar)
plotshape(sell and not short_entered, color=color.new(color.red, 0), style=shape.labeldown, text='Sell', textcolor=color.new(color.white, 0), location=location.abovebar)
// plotshape(buy and not(long_entered) and (short_entered), color = color.green , style = shape.labelup , text = "FA Buy" , textcolor = color.white , location = location.belowbar)
// plotshape(sell and not(short_entered) and (long_entered), color = color.red , style = shape.labeldown , text = "FA Sell" , textcolor = color.white , location = location.abovebar)
// alertcondition(condition=buy and not(long_entered) and (short_entered), title="Fully Algo Buy")
// alertcondition(condition=sell and not(short_entered) and (long_entered), title="Fully Algo sell")
alertcondition(condition=buy and not long_entered, title='Buy')
alertcondition(condition=sell and not short_entered, title='Sell')
if long_last
long_entered := true
short_entered := false
short_entered
if short_last
short_entered := true
long_entered := false
long_entered
alertcondition(condition=longSLhit and not(sell and not short_entered and long_entered), title='Long SL')
alertcondition(condition=shortSLhit and not(buy and not long_entered and short_entered), title='Short SL')
alertcondition(condition=longTPhit, title='Long TP')
alertcondition(condition=shortTPhit, title='Short TP')
if longSLhit or longTPhit
long_entered := false
long_entered
if shortSLhit or shortTPhit
short_entered := false
short_entered
// if buy
// strategy.entry('buy', strategy.long)
// strategy.exit('exit', 'buy', limit=longTake, stop=longStop)
// if sell
// strategy.entry('sell', strategy.short)
// strategy.exit('exit', 'sell', limit=shortTake, stop=shortStop)
if(buy)
strategy.entry("buy",strategy.long,qty = qn)
strategy.exit("Stop","buy",limit = longTake,stop = longStop)
if(sell)
strategy.entry("sell",strategy.short,qty = qn)
strategy.exit("Stop","sell",limit = shortTake,stop = shortStop)
strategy.close("buy",when = longTPhit or sell or longSLhit, comment = "Target")
strategy.close("sell",when = shortSLhit or shortTPhit or buy , comment = "Stop Loss")
strategy.cancel("buy",when = longTPhit or sell or longSLhit)
strategy.cancel("sell",when = shortSLhit or shortTPhit or buy )