Sistem perdagangan kuantitatif ini menggunakan analisis regresi polinomial untuk mengenal pasti potensi pembalikan trend untuk isyarat kemasukan.
Cara Ia Bekerja
Strategi ini menyesuaikan garis regresi polinomial dengan harga tinggi dan rendah baru-baru ini. Ia mengesan berapa banyak harga tinggi atau rendah baru-baru ini melebihi ramalan regresi.
Jika ambang maksimum atau minimum tertentu pecah, isyarat beli atau jual dihasilkan yang menunjukkan trend yang muncul. Henti dan sasaran ditetapkan berdasarkan peratusan input.
Posisi dimasukkan apabila sudut turun naik melebihi minimum untuk mengelakkan pasaran yang berbelit-belit.
Kelebihan dan Kelemahan
Dengan mengotomatiskan isyarat trend berdasarkan analisis matematik, strategi ini menyediakan pendekatan objektif untuk perdagangan pilihan. Pengoptimuman dapat meningkatkan prestasi.
Walau bagaimanapun, penyesuaian lengkung boleh membawa kepada pengoptimuman berlebihan. Seperti mana-mana sistem teknikal, prestasi sangat bergantung kepada keadaan pasaran. Tiada strategi yang menggantikan pengurusan risiko yang berhati-hati.
Ujian yang teliti di pelbagai jangka masa, kelas aset dan persekitaran pasaran adalah kunci untuk menilai ketahanan.
Secara keseluruhan, strategi kuantitatif menawarkan metodologi berasaskan peraturan untuk mengenal pasti perdagangan yang berpotensi.
/*backtest
start: 2023-01-01 00:00:00
end: 2023-09-10 00:00:00
period: 4h
basePeriod: 15m
exchanges: [{"eid":"Futures_Binance","currency":"BTC_USDT"}]
*/
//@version=4
//
// ▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒ //
//Ultima version underground09
// strategy(title = " underground09",
// shorttitle = "Under09",
// overlay = true,
// precision = 8,
// calc_on_order_fills = true,
// calc_on_every_tick = true,
// backtest_fill_limits_assumption = 0,
// default_qty_type = strategy.fixed,
// default_qty_value = 2,
// initial_capital = 10000,
// pyramiding=5,
// currency = currency.USD,
// linktoseries = true)
//
// ▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒ //
var sl = 0.0
var tp = 0.0
var acumaldor_vxp = 0.0
var acomuldor_vol = 0.0
//stop_loss = input(defval=0.2, title="Porcentaje Stop Loss", type=input.float, step=0.2)
stop_loss = input(defval=1.4, title="Porcentaje Stop Loss", type=input.float, step=0.2)
//take_profit = input(defval=4.4, title="Porcentaje Take Profit", type=input.float, step=0.2)
take_profit = input(defval=5.6, title="Porcentaje Take Profit", type=input.float, step=0.2)
//pintar_trade = input(defval=false, title="Pintar trade TP SL")
angulo_permitido = input(defval=26.8, title="Angulo permitido", type=input.float, step=0.2)
backTestSectionFrom = input(title = "═══════════════ From ═══════════════", defval = true, type = input.bool)
FromMonth = input(defval = 1, title = "Month", minval = 1)
FromDay = input(defval = 1, title = "Day", minval = 1)
FromYear = input(defval = 2019, title = "Year", minval = 2014)
backTestSectionTo = input(title = "════════════════ To ════════════════", defval = true, type = input.bool)
ToMonth = input(defval = 31, title = "Month", minval = 1)
ToDay = input(defval = 12, title = "Day", minval = 1)
ToYear = input(defval = 9999, title = "Year", minval = 2014)
Config = input(title = "══════════════ Config ══════════════", defval = true, type = input.bool)
//p = input(6)
p = input(4)
//length = input(30)
length = input(26)
//
backTestPeriod() => (time > timestamp(FromYear, FromMonth, FromDay, 00, 00)) and (time < timestamp(ToYear, ToMonth, ToDay, 23, 59))
//
//
// ▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒ //
x1 = bar_index
x2 = sqrt(x1)
y = high
//
S11 = sum(x2,length) - sqrt(sum(x1,length)) / length
S12 = sum(x1*x2,length) - (sum(x1,length) * sum(x2,length)) / length
S22 = sum(sqrt(x2),length) - sqrt(sum(x2,length)) / length
Sy1 = sum (y*x1,length) - (sum(y,length) * sum(x1,length)) / length
Sy2 = sum (y*x2,length) - (sum(y,length) * sum(x2,length)) / length
//
max1 = sma(x1,length)
max2 = sma(x2,length)
may = sma(y,length)
b2 = ((Sy1 * S22) - (Sy2*S12))/(S22*S11 - sqrt(S12))
b3 = ((Sy2 * S11) - (Sy1 * S12))/(S22 * S11 - sqrt(S12))
b1 = may - b2*max1 - b3*max2
qr = b1 + b2*x1 + b3*x2
//
yl = low
//
Sy1l = sum(yl*x1,length) - (sum(yl,length) * sum(x1,length)) / length
Sy2l = sum(yl*x2,length) - (sum(yl,length) * sum(x2,length)) / length
//
mayl = sma(yl,length)
b2l = ((Sy1l * S22) - (Sy2l*S12))/(S22*S11 - sqrt(S12))
b3l = ((Sy2l * S11) - (Sy1l * S12))/(S22 * S11 - sqrt(S12))
b1l = mayl - b2l*max1 - b3l*max2
qrl = b1l + b2l*x1 + b3l*x2
//
period = round(p/2)+1
hh = qr[period]
ll = qrl[period]
countH = 0
countL = 0
buy=0
sell=0
//
for i = 1 to period-1
if qr[i]<hh
countH:=countH+1
if qrl[i]>ll
countL:=countL+1
for i = period+1 to p+1
if qr[i]<hh
countH:=countH+1
if qrl[i]>ll
countL:=countL+1
if countH==p
pivotH = high[period]
buy := 1
if countL==p
pivotL = low[period]
sell := 1
//
Angulo(_serie) =>
atan( _serie - _serie[1] ) * 180 / acos(-1)
//calcular elvwap
vxp = volume*hlc3
//:= signo de acumulador
acumaldor_vxp := acumaldor_vxp + vxp
acomuldor_vol := acomuldor_vol + volume
vwap2 = acumaldor_vxp / acomuldor_vol
pendiente = Angulo(vwap2)
//
plotshape(buy == 1 , text='⬆️', style=shape.arrowup, location=location.belowbar, color=#32CD32, textcolor=color.white, offset=0, transp=0,size=size.auto)
if buy == 1
alert("Posible long",alert.freq_all )
plotshape(sell == 1 , text='⬇️', style=shape.arrowdown, location=location.abovebar, color=#FF0000, textcolor=color.white, offset=0, transp=0,size=size.auto)
if sell == 1
alert("Posible short",alert.freq_all )
//
//if (backTestPeriod())
//strategy.entry("long", true, 1, when = buy == 1)
// strategy.entry("short", false, 1, when = sell == 1)
if buy == 1 and pendiente > angulo_permitido
//if buy == 1
cantidad = round(strategy.equity / close )
strategy.entry("long", true, cantidad, comment = "Compra")
sl := close * ( 1 - (stop_loss/100))
tp := close * ( 1 + (take_profit/100))
if sell == 1 and pendiente > angulo_permitido
//if sell == 1
cantidad = round(strategy.equity / close )
strategy.entry("short", false, cantidad, comment = "Venta")
sl := close * ( 1 + (stop_loss/100))
tp := close * ( 1 - (take_profit/100))
//Validaciones
comprado = strategy.position_size > 0 //true si es positivo
vendido = strategy.position_size < 0 //true si es negativo
if comprado
//Salir sl
if close >= tp
//plotshape(close >= tp, style=shape.xcross)
strategy.close("long", comment="TP")
//Salir tp
if close <= sl
strategy.close("long", comment="SL")
if vendido
//Salir sl
if close <= tp
strategy.close("short", comment="TP")
//Salir tp
if close >= sl
strategy.close("short", comment="SL")
//sl tp
plot( sl , color =color.red, style=plot.style_cross)
plot( tp , color= color.green , style=plot.style_circles)
//color
//bgcolor (comprado ? color.green: na)
//bgcolor (vendido ? color.red: na)
//if pintar_trade
//bgcolor (close >= tp ? color.green : na, transp=80)
//bgcolor (close >= sl ? color.red : na, transp=80)