Selamat datang di BEARMARKET [30 MIN]
Penulis:ChaoZhang, Tarikh: 2022-05-16 15:39:15Tag:ATRADX
Halo semua orang,
Ini adalah konsep pertama saya tentang pergerakan pasaran beruang dalam masa terdekat
Bot dioptimumkan untuk
Inti bot ini menggunakan trend ATR untuk menentukan trend, juga menggunakan nilai rsi untuk membuka swingshorts baru (RSI-VWAP) atau mencari tempat yang sempurna dekat (RSI OVERSOLD)
Bot ini hanya bot pendek untuk 100% memaksimumkan keuntungan dari setiap pergerakan ke bawah dari Bitcoin Saya cadangkan menggunakan leverage 1-3x untuk bot ini, kerana jumlah yang tinggi perdagangan yang salah atau menutup dengan keuntungan minimum Sl adalah sekitar: 6% (Hanya untuk prestasi terbaik dalam semua tempoh masa backtesting)
Jadi, coding pendek dibuka oleh:
-
Kedua-dua ADX dan S_ATR hanya jika rsi tidak oversold a) ADX Adalah salah satu penunjuk trend yang paling kuat dan tepat. ADX mengukur seberapa kuat trend, dan boleh memberikan maklumat berharga mengenai sama ada terdapat peluang perdagangan yang berpotensi. b) Julat sebenar purata (ATR) adalah penunjuk analisis teknikal, yang diperkenalkan oleh juruteknik pasaran J. Welles Wilder Jr. dalam bukunya New Concepts in Technical Trading Systems, yang mengukur turun naik pasaran dengan memecahkan keseluruhan julat harga aset untuk tempoh itu
-
RSI VWAP - VWAP dikira dengan menambah dolar yang didagangkan untuk setiap transaksi (harga didarabkan dengan bilangan saham yang didagangkan) dan kemudian membahagikan dengan jumlah saham yang didagangkan. rsi vwwap buka kedudukan baru hanya jika tidak ada isyarat menaik dari Cloud, Adx, penunjuk ATR
Ujian belakang
/*backtest
start: 2022-04-15 00:00:00
end: 2022-05-14 23:59:00
period: 30m
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/
// © wielkieef
//@version=4
src = close
//strategy("Welcome to the BEARMARKET [30MIN]", overlay=true, initial_capital = 10000, pyramiding = 1, currency = "USD", calc_on_order_fills = false, calc_on_every_tick = false, default_qty_type = strategy.fixed, default_qty_value = 1, commission_value = 0.04)
//Inputs -----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
prd = input(2, title="PP period")
Factor = input(10, title = "ATR Factor")
Pd = input(14, title = "ATR Period")
len = input(2, title="Cloud Length")
ADX_options = input("CLASSIC", title="ADX OPTION", options = ["CLASSIC", "MASANAKAMURA"], group = "ADX")
ADX_len = input(17, title="ADX LENGTH", type = input.integer, minval = 1, group = "ADX")
th = input(14, title="ADX THRESHOLD", type = input.float, minval = 0, step = 0.5, group = "ADX")
len_3 = input(51, title="RSI lenght", group = "Relative Strenght Indeks")
src_3 = input(high, title="RSI Source", group = "Relative Strenght Indeks")
RSI_VWAP_length = input(22, title="Rsi vwap lenght")
//INDICATORS -----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
//Cloud -----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
PI = 2 * asin(1)
hilbertTransform(src) =>
0.0962 * src + 0.5769 * nz(src[2]) - 0.5769 * nz(src[4]) - 0.0962 * nz(src[6])
computeComponent(src, mesaPeriodMult) =>
hilbertTransform(src) * mesaPeriodMult
computeAlpha(src, fastLimit, slowLimit) =>
mesaPeriod = 0.0
mesaPeriodMult = 0.075 * nz(mesaPeriod[1]) + 0.54
smooth = 0.0
smooth := (4 * src + 3 * nz(src[1]) + 2 * nz(src[2]) + nz(src[3])) / 10
detrender = 0.0
detrender := computeComponent(smooth, mesaPeriodMult)
I1 = nz(detrender[3])
Q1 = computeComponent(detrender, mesaPeriodMult)
jI = computeComponent(I1, mesaPeriodMult)
jQ = computeComponent(Q1, mesaPeriodMult)
I2 = 0.0
Q2 = 0.0
I2 := I1 - jQ
Q2 := Q1 + jI
I2 := 0.2 * I2 + 0.8 * nz(I2[1])
Q2 := 0.2 * Q2 + 0.8 * nz(Q2[1])
Re = I2 * nz(I2[1]) + Q2 * nz(Q2[1])
Im = I2 * nz(Q2[1]) - Q2 * nz(I2[1])
Re := 0.2 * Re + 0.8 * nz(Re[1])
Im := 0.2 * Im + 0.8 * nz(Im[1])
if Re != 0 and Im != 0
mesaPeriod := 2 * PI / atan(Im / Re)
if mesaPeriod > 1.5 * nz(mesaPeriod[1])
mesaPeriod := 1.5 * nz(mesaPeriod[1])
if mesaPeriod < 0.67 * nz(mesaPeriod[1])
mesaPeriod := 0.67 * nz(mesaPeriod[1])
if mesaPeriod < 6
mesaPeriod := 6
if mesaPeriod > 50
mesaPeriod := 50
mesaPeriod := 0.2 * mesaPeriod + 0.8 * nz(mesaPeriod[1])
phase = 0.0
if I1 != 0
phase := (180 / PI) * atan(Q1 / I1)
deltaPhase = nz(phase[1]) - phase
if deltaPhase < 1
deltaPhase := 1
alpha = fastLimit / deltaPhase
if alpha < slowLimit
alpha := slowLimit
[alpha,alpha/2.0]
er = abs(change(src,len)) / sum(abs(change(src)),len)
[a,b] = computeAlpha(src, er, er*0.1)
mama = 0.0
mama := a * src + (1 - a) * nz(mama[1])
fama = 0.0
fama := b * mama + (1 - b) * nz(fama[1])
alpha = pow((er * (b - a)) + a, 2)
kama = 0.0
kama := alpha * src + (1 - alpha) * nz(kama[1])
L_cloud = kama > kama[1]
S_cloud = kama < kama[1]
CLOUD_COLOR = L_cloud ? color.lime : S_cloud ? color.red : na
// ATR -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
float ph = pivothigh(prd, prd)
float pl = pivotlow(prd, prd)
var float center = na
float lastpp = ph ? ph : pl ? pl : na
if lastpp
if na(center)
center := lastpp
else
center := (center * 2 + lastpp) / 3
Up = center - (Factor * atr(Pd))
Dn = center + (Factor * atr(Pd))
float TUp = na
float TDown = na
Trend = 0
TUp := close[1] > TUp[1] ? max(Up, TUp[1]) : Up
TDown := close[1] < TDown[1] ? min(Dn, TDown[1]) : Dn
Trend := close > TDown[1] ? 1: close < TUp[1]? -1: nz(Trend[1], 1)
Trailingsl = Trend == 1 ? TUp : TDown
bsignal = Trend == 1 and Trend[1] == -1
ssignal = Trend == -1 and Trend[1] == 1
L_ATR = Trend == 1
S_ATR = Trend == -1
//RSI------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
up_3 = rma(max(change(src_3), 0), len_3)
down_3 = rma(-min(change(src_3), 0), len_3)
rsi_3 = down_3 == 0 ? 100 : up_3 == 0 ? 0 : 100 - (100 / (1 + up_3 / down_3))
Ob_rsi = (rsi_3 >= 70)
Os_rsi = (rsi_3 <= 30)
RSI_VWAP = rsi(vwap(close), RSI_VWAP_length)
RSI_VWAP_overSold = 13
RSI_VWAP_overBought = 68
L_VAP = (crossover(RSI_VWAP, RSI_VWAP_overSold))
S_VAP = (crossunder(RSI_VWAP, RSI_VWAP_overBought))
//ADX-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
calcADX(_len) =>
up = change(high)
down = -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 = rma(tr, _len)
_plus = fixnan(100 * rma(plusDM, _len) / truerange)
_minus = fixnan(100 * rma(minusDM, _len) / truerange)
sum = _plus + _minus
_adx = 100 * rma(abs(_plus - _minus) / (sum == 0 ? 1 : sum), _len)
[_plus,_minus,_adx]
calcADX_Masanakamura(_len) =>
SmoothedTrueRange = 0.0
SmoothedDirectionalMovementPlus = 0.0
SmoothedDirectionalMovementMinus = 0.0
TrueRange = max(max(high - low, abs(high - nz(close[1]))), abs(low - nz(close[1])))
DirectionalMovementPlus = high - nz(high[1]) > nz(low[1]) - low ? max(high - nz(high[1]), 0) : 0
DirectionalMovementMinus = nz(low[1]) - low > high - nz(high[1]) ? max(nz(low[1]) - low, 0) : 0
SmoothedTrueRange := nz(SmoothedTrueRange[1]) - (nz(SmoothedTrueRange[1]) /_len) + TrueRange
SmoothedDirectionalMovementPlus := nz(SmoothedDirectionalMovementPlus[1]) - (nz(SmoothedDirectionalMovementPlus[1]) / _len) + DirectionalMovementPlus
SmoothedDirectionalMovementMinus := nz(SmoothedDirectionalMovementMinus[1]) - (nz(SmoothedDirectionalMovementMinus[1]) / _len) + DirectionalMovementMinus
DIP = SmoothedDirectionalMovementPlus / SmoothedTrueRange * 100
DIM = SmoothedDirectionalMovementMinus / SmoothedTrueRange * 100
DX = abs(DIP-DIM) / (DIP+DIM)*100
adx = sma(DX, _len)
[DIP,DIM,adx]
[DIPlusC,DIMinusC,ADXC] = calcADX(ADX_len)
[DIPlusM,DIMinusM,ADXM] = calcADX_Masanakamura(ADX_len)
DIPlus = ADX_options == "CLASSIC" ? DIPlusC : DIPlusM
DIMinus = ADX_options == "CLASSIC" ? DIMinusC : DIMinusM
ADX = ADX_options == "CLASSIC" ? ADXC : ADXM
L_adx = DIPlus > DIMinus and ADX > th
S_adx = DIPlus < DIMinus and ADX > th
// Strategy logic ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
var bool longCond = na, var bool shortCond = na
var int CondIni_long = 0, var int CondIni_short = 0
var bool _Final_longCondition = na, var bool _Final_shortCondition = na
var float last_open_longCondition = na, var float last_open_shortCondition = na
var int last_longCondition = na, var int last_shortCondition = na
var int last_Final_longCondition = na, var int last_Final_shortCondition = na
var int nLongs = na, var int nShorts = na
Short_condition = S_ATR and S_adx and not Os_rsi or S_VAP and not Os_rsi and L_cloud and L_ATR and L_adx
Short_close = L_ATR or Os_rsi or L_VAP
longCond := Short_close
shortCond := Short_condition
CondIni_long := longCond[1] ? 1 : shortCond[1] ? -1 : nz(CondIni_long[1] )
CondIni_short := longCond[1] ? 1 : shortCond[1] ? -1 : nz(CondIni_short[1] )
longCondition = (longCond[1] and nz(CondIni_long[1]) == -1 )
shortCondition = (shortCond[1] and nz(CondIni_short[1]) == 1 )
var float sum_long = 0.0, var float sum_short = 0.0
var float Position_Price = 0.0
var bool Final_long_BB = na, var bool Final_short_BB = na
var int last_long_BB = na, var int last_short_BB = na
last_open_longCondition := longCondition or Final_long_BB[1] ? close[1] : nz(last_open_longCondition[1] )
last_open_shortCondition := shortCondition or Final_short_BB[1] ? close[1] : nz(last_open_shortCondition[1] )
last_longCondition := longCondition or Final_long_BB[1] ? time : nz(last_longCondition[1] )
last_shortCondition := shortCondition or Final_short_BB[1] ? time : nz(last_shortCondition[1] )
in_longCondition = last_longCondition > last_shortCondition
in_shortCondition = last_shortCondition > last_longCondition
last_Final_longCondition := longCondition ? time : nz(last_Final_longCondition[1] )
last_Final_shortCondition := shortCondition ? time : nz(last_Final_shortCondition[1] )
nLongs := nz(nLongs[1] )
nShorts := nz(nShorts[1] )
if longCondition or Final_long_BB
nLongs := nLongs + 1
nShorts := 0
sum_long := nz(last_open_longCondition) + nz(sum_long[1])
sum_short := 0.0
if shortCondition or Final_short_BB
nLongs := 0
nShorts := nShorts + 1
sum_short := nz(last_open_shortCondition)+ nz(sum_short[1])
sum_long := 0.0
Position_Price := nz(Position_Price[1])
Position_Price := longCondition or Final_long_BB ? sum_long/nLongs : shortCondition or Final_short_BB ? sum_short/nShorts : na
colors = (in_longCondition ? color.gray : in_shortCondition ? color.red : color.orange)
//barcolor (color = colors)
mama_p = plot(mama, title="Cloud A", color=colors )
fama_p = plot(fama, title="Cloud B", color=colors )
fill (mama_p,fama_p, color=colors )
plotshape(longCondition, title="Long", style=shape.xcross, location=location.belowbar, color=color.green, size=size.small , transp = 0 )
plotshape(shortCondition, title="Short", style=shape.triangledown, location=location.abovebar, color=color.red, size=size.small , transp = 0 )
if Short_condition
strategy.entry("S", strategy.short)
per(pcnt) =>
strategy.position_size != 0 ? round(pcnt / 100 * strategy.position_avg_price / syminfo.mintick) : float(na)
stoploss=input(title=" stop loss", defval=6, minval=0.01)
los = per(stoploss)
q=input(title=" qty percent", defval=100, minval=1)
strategy.exit("SL", qty_percent = q,loss = los)
strategy.close_all(when = Short_close)
//By wielkieef
Berkaitan
- Perdagangan trendline masa nyata berdasarkan titik pusingan dan cerun
- Dapatkan trend anda
- Pembunuh Sma BTC
- ADX Trend Breakout Momentum Strategi Dagangan
- Trend Multi-Indikator Mengikut Strategi dengan Bollinger Bands dan ATR Dynamic Stop Loss
- Sistem Pengurusan Modal Berasaskan Momentum RSI dan ADX Trend Strength
- Strategi Dagangan Pasca-Terbuka Breakout dengan Pengurusan Posisi Berasaskan ATR Dinamis
- Sistem Dagangan Berpeluang Berpeluang
- Mengikut Trend Multi-Indikator dan Strategi Penembusan Volatiliti
- Strategi Grid Kedudukan Berubah Mengikut Trend
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