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Stratégie de super-tendance à pivot dynamique

Auteur:ChaoZhang est là., Date: 2022-05-13 17h45:05
Les étiquettes:Le taux d'intérêtSMAATRLe pivot

Cette stratégie fonctionne mieux sur AUD/USD dans le laps de temps de 15 min. Elle utilise le Pivot Supertrend pour entrer des transactions basées sur différents filtres tels que: - Filtre EMA simple: que les 3 EMA doivent être en ordre - angle DEMA: vous pouvez choisir le seuil angle DEMA et le regard en arrière pour vérifier l'angle juste le commerce avec DEMA à un certain angle - Filtre simple DEMA: il suffit de vérifier si la fermeture est au-dessus ou en dessous de DEMA - Prendre chaque signal de supertrend: cela signifie prendre chaque signal de supertrend normal pour ne pas simplement attendre qu'un signal de supertrend pivot entre dans un commerce (surtout sur de longues périodes de supertrend pivot) - Stop Loss au Supertrend: cela signifie que le stop loss sera au Supertrend normal, si faux le stop loss sera placé au niveau ATR sélectionné. - 2 Steps Take Profit: cela signifie que si vous souhaitez fermer un pourcentage de position dès que la supertrend normale franchit le prix d'entrée, vous pouvez sélectionner le pourcentage sur l'entrée 2 Steps TP qty - Stop Loss ATR Multiplier: si Stop Loss à Supertrend est désactivé ce sera le stop loss basé sur le atr - Take Profit ATR Multiplier: si Stop Loss à Supertrend est désactivé, ce sera le takeprofit basé sur l'atr (vous devez garder à l'esprit que le rapport entre ces deux rendra le risque pour le rapport de récompense du take profit lorsque le Stop Loss à Supertrend) - Tests: pour éviter les surajustements, vous pouvez sélectionner des plages de dates pour le backtesting et le forwardtesting et sélectionner les tests que vous voulez faire

test de retour

Villa Dinamic Pivot Supertrend Strategy

/*backtest
start: 2022-02-01 00:00:00
end: 2022-02-11 23:59:00
period: 15m
basePeriod: 5m
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/
// © evillalobos1123

//@version=5
strategy("Villa Dinamic Pivot Supertrend Strategy", overlay=true, calc_on_every_tick = true)

//INPUTS

ema_b = input.bool(false, "Use Simple EMA Filter", group = "Strategy Inputs")
ema_b_ang = input.bool(true, "Use DEMA Angle Filter", group = "Strategy Inputs")
dema_b = input.bool(true, "Use DEMA Filter", group = "Strategy Inputs")
st_sig = input.bool(false, "Take Every Supertrend Signal" , group = "Strategy Inputs")
take_p = input.bool(true, "Stop Loss at Supertrend", group = "Strategy Inputs")
din_tp = input.bool(false, "2 Steps Take Profit", group = "Strategy Inputs")
move_sl = input.bool(true, "Move SL", group = "Strategy Inputs")
sl_atr = input.float(2.5, "Stop Loss ATR Multiplier", group = "Strategy Inputs")
tp_atr = input.float(4, "Take Profit ATR Multiplier", group = "Strategy Inputs")
din_tp_qty = input.int(50, "2 Steps TP qty%", group = "Strategy Inputs")
dema_a_filter = input.float(0, "DEMA Angle Threshold (+ & -)", group = "Strategy Inputs")
dema_a_look = input.int(1, "DEMA Angle Lookback", group = "Strategy Inputs")
dr_test = input.string("All", "Testing", options = ["Backtest", "Forwardtest", "All"], group = "Strategy Inputs")
test_act = input.string('Forex', 'Market', options = ['Forex', 'Stocks'], group = "Strategy Inputs")


not_in_trade = strategy.position_size == 0

//Backtesting date range

start_year = input.int(2021, "Backtesting start year", group = "BT Date Range")
start_month = input.int(1, "Backtesting start month", group = "BT Date Range")
start_date = input.int(1, "Backtesting start day", group = "BT Date Range")
end_year = input.int(2021, "Backtesting end year", group = "BT Date Range")
end_month = input.int(12, "Backtesting end month", group = "BT Date Range")
end_date = input.int(31, "Backtesting end day", group = "BT Date Range")

bt_date_range = (time >= timestamp(syminfo.timezone, start_year,
         start_month, start_date, 0, 0)) and
     (time < timestamp(syminfo.timezone, end_year, end_month, end_date, 0, 0))
     

//Forward testing date range

start_year_f = input.int(2022, "Forwardtesting start year", group = "FT Date Range")
start_month_f = input.int(1, "Forwardtesting start month", group = "FT Date Range")
start_date_f = input.int(1, "Forwardtesting start day", group = "FT Date Range")
end_year_f = input.int(2022, "Forwardtesting end year", group = "FT Date Range")
end_month_f = input.int(03, "Forwardtesting end month", group = "FT Date Range")
end_date_f = input.int(26, "Forwardtesting end day", group = "FT Date Range")

ft_date_range = (time >= timestamp(syminfo.timezone, start_year_f,
         start_month_f, start_date_f, 0, 0)) and
     (time < timestamp(syminfo.timezone, end_year_f, end_month_f, end_date_f, 0, 0))


//date condition
date_range_cond = if dr_test == "Backtest"
    bt_date_range
else if dr_test == "Forwardtest"
    ft_date_range
else
    true
    

//INDICATORS

//PIVOT SUPERTREND
prd = input.int(2, "PVT ST Pivot Point Period", group = "Pivot Supertrend")
Factor=input.float(3, "PVT ST ATR Factor", group = "Pivot Supertrend")
Pd=input.int(9 ,  "PVT ST ATR Period", group = "Pivot Supertrend")

// get Pivot High/Low
float ph = ta.pivothigh(prd, prd)
float pl = ta.pivotlow(prd, prd)

// calculate the Center line using pivot points
var float center = na
float lastpp = ph ? ph : pl ? pl : na
if lastpp
    if na(center)
        center := lastpp
    else
        //weighted calculation
        center := (center * 2 + lastpp) / 3

// upper/lower bands calculation
Up = center - (Factor * ta.atr(Pd))
Dn = center + (Factor * ta.atr(Pd))

// get the trend
float TUp = na
float TDown = na
Trend = 0
TUp := close[1] > TUp[1] ? math.max(Up, TUp[1]) : Up
TDown := close[1] < TDown[1] ? math.min(Dn, TDown[1]) : Dn
Trend := close > TDown[1] ? 1: close < TUp[1]? -1: nz(Trend[1], 1)
Trailingsl = Trend == 1 ? TUp : TDown

// check and plot the signals
bsignal = Trend == 1 and Trend[1] == -1
ssignal = Trend == -1 and Trend[1] == 1

//get S/R levels using Pivot Points
float resistance = na
float support = na
support := pl ? pl : support[1]
resistance := ph ? ph : resistance[1]

//DEMA

dema_ln = input.int(200, "DEMA Len", group = 'D-EMAs')
dema_src = input.source(close, "D-EMAs Source", group = 'D-EMAs')
ema_fd = ta.ema(dema_src, dema_ln)
dema = (2*ema_fd)-(ta.ema(ema_fd,dema_ln))

//EMA

ema1_l = input.int(21, "EMA 1 Len", group = 'D-EMAs')
ema2_l = input.int(50, "EMA 2 Len", group = 'D-EMAs')
ema3_l = input.int(200, "EMA 3 Len", group = 'D-EMAs')

ema1 = ta.ema(dema_src, ema1_l)
ema2 = ta.ema(dema_src, ema2_l)
ema3 = ta.ema(dema_src, ema3_l)

//Supertrend
Periods = input.int(21, "ST ATR Period", group = "Normal Supertrend")
src_st = input.source(hl2, "ST Supertrend Source", group = "Normal Supertrend")
Multiplier = input.float(2.0 , "ST ATR Multiplier", group = "Normal Supertrend")
changeATR= true
atr2 = ta.sma(ta.tr, Periods)
atr3= changeATR ? ta.atr(Periods) : atr2
up=src_st-(Multiplier*atr3)
up1 = nz(up[1],up)
up := close[1] > up1 ? math.max(up,up1) : up
dn=src_st+(Multiplier*atr3)
dn1 = nz(dn[1], dn)
dn := close[1] < dn1 ? math.min(dn, dn1) : dn
trend = 1
trend := nz(trend[1], trend)
trend := trend == -1 and close > dn1 ? 1 : trend == 1 and close < up1 ? -1 : trend
buySignal = trend == 1 and trend[1] == -1
sellSignal = trend == -1 and trend[1] == 1

//ATR

atr = ta.atr(14)

///CONDITIONS

//BUY 
/// ema simple
ema_cond_b = if ema_b
    ema1 > ema2 and ema2 > ema3
else
    true

///ema angle

div_ang = if test_act == 'Forex'
    0.0001
else
    1

dema_angle_rad = math.atan((dema - dema[dema_a_look])/div_ang)
dema_angle = dema_angle_rad * (180/math.pi)

dema_ang_cond_b = if ema_b_ang
    if dema_angle >= dema_a_filter
        true
    else
        false
else
    true
    


///ema distance

dema_cond_b = if dema_b
    close > dema
else 
    true
    

//supertrends
///if pivot buy sig or (st buy sig and pivot. trend = 1)

pvt_cond_b = bsignal

st_cond_b = if st_sig
    buySignal and Trend == 1
else
    false

st_entry_cond = pvt_cond_b or st_cond_b

///stop loss tp

sl_b = if take_p
    if trend == 1
        up
    else
        close - (atr * sl_atr)
else
    close - (atr * sl_atr)

tp_b = if take_p
    if trend == 1
        close + ((close - up) * (tp_atr / sl_atr))
    else
        close + (atr * tp_atr)
else
    close + (atr * tp_atr)
    
//position size 
init_cap = strategy.equity
pos_size_b = math.round((init_cap * .01) / (close - sl_b))
ent_price = strategy.opentrades.entry_price(strategy.opentrades - 1)
var sl_b_n = 0.0
var tp_b_n = 0.0
longCondition = (ema_cond_b and dema_cond_b and dema_ang_cond_b and st_entry_cond and date_range_cond and not_in_trade)
if (longCondition)
    
    strategy.entry("Long", strategy.long, qty = pos_size_b)
    sl_b_n := sl_b
    tp_b_n := tp_b
    ent_price := strategy.opentrades.entry_price(strategy.opentrades - 1)

if (up[1] < ent_price and up >= ent_price and trend[0] == 1)
    if din_tp
        strategy.close("Long", qty_percent = din_tp_qty)
    if move_sl
        sl_b_n := ent_price

strategy.exit("Exit", "Long", stop =sl_b_n, limit = tp_b_n)   


    

//sell

///ema simple
ema_cond_s = if ema_b
    ema1 < ema2 and ema2 < ema3
else
    true

//ema distance
dema_cond_s = if dema_b
    close < dema
else 
    true

//dema angle
dema_ang_cond_s = if ema_b_ang
    if dema_angle <= -(dema_a_filter)
        true
    else
        false
else
    true

//supertrends
///if pivot buy sig or (st buy sig and pivot. trend = 1)

pvt_cond_s = ssignal

st_cond_s = if st_sig
    sellSignal and Trend == -1
else
    false

st_entry_cond_s = pvt_cond_s or st_cond_s

///stop loss tp


sl_s = if take_p
    if trend == -1
        dn
    else
        close + (atr * sl_atr)
else
    close + (atr * sl_atr)

tp_s = if take_p
    if trend == -1
        close - ((dn - close) * (tp_atr / sl_atr))
    else
        close - (atr * tp_atr)
else
    close - (atr * tp_atr)


shortCondition = (ema_cond_s and dema_cond_s and dema_ang_cond_s and date_range_cond and st_entry_cond_s and not_in_trade)

pos_size_s = math.round((init_cap * .01) / (sl_s - close))
var sl_s_n = 0.0
var tp_s_n = 0.0
if (shortCondition)
    strategy.entry("Short", strategy.short, qty = pos_size_s)
    sl_s_n := sl_s
    tp_s_n := tp_s
    
if (dn[1] > ent_price and dn <= ent_price and trend[0] == -1)
    if din_tp
        strategy.close("Short", qty_percent = din_tp_qty)
    if move_sl
        sl_s_n := ent_price

strategy.exit("Exit", "Short", stop = sl_s_n, limit = tp_s_n)
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