В процессе загрузки ресурсов... загрузка...
Стратегия ценовой дивергенции v1.0

Автор:Чао Чжан, Дата: 31 мая 2022 года 18:31:45
Тэги:MACDРСИ
Созданное по запросу: Это стратегия торговли трендом, которая использует сигналы обнаружения ценового расхождения, которые подтверждаются математическим осциллятором Murrey (на основе Donchanin Channel).
Код стратегии основан на: Детектор дивергенции цены V2 Рикардо Сантоса Математический осциллятор UCS_Murrey от Ucsgears Стратегия управления рисками на основе: Пример кода стратегии от JayRogers
обратная проверка
/*backtest
start: 2022-04-30 00:00:00
end: 2022-05-29 23:59:00
period: 1h
basePeriod: 15m
exchanges: [{"eid":"Futures_Binance","currency":"BTC_USDT"}]
*/

//@version=4
//
// Title:   [STRATEGY][UL]Price Divergence Strategy V1.1
// Author:  JustUncleL
// Date:    23-Oct-2016
// Version: v1.1
//
// Description:
//  A trend trading strategy the uses Price Divergence detection signals, that
//  are confirmed by the "Murrey's Math Oscillator" (Donchanin Channel based).
//
//  *** USE AT YOUR OWN RISK ***
//
// Mofidifications:
//  1.0 - original
//  1.1 - Pinescript V4 update 21-Aug-2021
//
// References:
//  Strategy Based on:
//  - [RS]Price Divergence Detector V2 by RicardoSantos
//  - UCS_Murrey's Math Oscillator by Ucsgears
//  Some Code borrowed from:
//  - "Strategy Code Example by JayRogers"  
//  Information on Divergence Trading:
//  - http://www.babypips.com/school/high-school/trading-divergences
//
strategy(title='[STRATEGY][UL]Price Divergence Strategy v1.1', pyramiding=0, overlay=true, initial_capital=10000, calc_on_every_tick=false, currency=currency.USD, 
  default_qty_type=strategy.percent_of_equity, default_qty_value=10)
//  ||  General Input:
method = input(title='Method (0=rsi, 1=macd, 2=stoch, 3=volume, 4=acc/dist, 5=fisher, 6=cci):', type=input.integer, defval=1, minval=0, maxval=6)
SHOW_LABEL = input(title='Show Labels', type=input.bool, defval=true)
SHOW_CHANNEL = input(title='Show Channel', type=input.bool, defval=false)
uHid = input(true, title="Use Hidden Divergence in Strategy")
uReg = input(true, title="Use Regular Divergence in Strategy")
//  ||  RSI / STOCH / VOLUME / ACC/DIST Input:
rsi_smooth = input(title='RSI/STOCH/Volume/ACC-DIST/Fisher/cci Smooth:', type=input.integer, defval=5)
//  ||  MACD Input:
macd_src = input(title='MACD Source:', type=input.source, defval=close)
macd_fast = input(title='MACD Fast:', type=input.integer, defval=12)
macd_slow = input(title='MACD Slow:', type=input.integer, defval=26)
macd_smooth = input(title='MACD Smooth Signal:', type=input.integer, defval=9)
//  ||  Functions:
f_top_fractal(_src) =>
    _src[4] < _src[2] and _src[3] < _src[2] and _src[2] > _src[1] and 
       _src[2] > _src[0]
f_bot_fractal(_src) =>
    _src[4] > _src[2] and _src[3] > _src[2] and _src[2] < _src[1] and 
       _src[2] < _src[0]
f_fractalize(_src) =>
    f_bot_fractal__1 = f_bot_fractal(_src)
    f_top_fractal(_src) ? 1 : f_bot_fractal__1 ? -1 : 0

//  ||••>   START MACD FUNCTION
f_macd(_src, _fast, _slow, _smooth) =>
    _fast_ma = sma(_src, _fast)
    _slow_ma = sma(_src, _slow)
    _macd = _fast_ma - _slow_ma
    _signal = ema(_macd, _smooth)
    _hist = _macd - _signal
    _hist
//  ||<••   END MACD FUNCTION

//  ||••>   START ACC/DIST FUNCTION
f_accdist(_smooth) =>
    _return = sma(cum(close == high and close == low or high == low ? 0 : (2 * close - low - high) / (high - low) * volume), _smooth)
    _return
//  ||<••   END ACC/DIST FUNCTION

//  ||••>   START FISHER FUNCTION
f_fisher(_src, _window) =>
    _h = highest(_src, _window)
    _l = lowest(_src, _window)
    _value0 = 0.0
    _fisher = 0.0
    _value0 := .66 * ((_src - _l) / max(_h - _l, .001) - .5) + .67 * nz(_value0[1])
    _value1 = _value0 > .99 ? .999 : _value0 < -.99 ? -.999 : _value0
    _fisher := .5 * log((1 + _value1) / max(1 - _value1, .001)) + .5 * nz(_fisher[1])
    _fisher
//  ||<••   END FISHER FUNCTION

rsi_1 = rsi(high, rsi_smooth)
f_macd__1 = f_macd(macd_src, macd_fast, macd_slow, macd_smooth)
stoch_1 = stoch(close, high, low, rsi_smooth)
sma_1 = sma(volume, rsi_smooth)
f_accdist__1 = f_accdist(rsi_smooth)
f_fisher__1 = f_fisher(high, rsi_smooth)
cci_1 = cci(high, rsi_smooth)
method_high = method == 0 ? rsi_1 : method == 1 ? f_macd__1 : 
   method == 2 ? stoch_1 : method == 3 ? sma_1 : method == 4 ? f_accdist__1 : 
   method == 5 ? f_fisher__1 : method == 6 ? cci_1 : na

rsi_2 = rsi(low, rsi_smooth)
f_macd__2 = f_macd(macd_src, macd_fast, macd_slow, macd_smooth)
stoch_2 = stoch(close, high, low, rsi_smooth)
sma_2 = sma(volume, rsi_smooth)
f_accdist__2 = f_accdist(rsi_smooth)
f_fisher__2 = f_fisher(low, rsi_smooth)
cci_2 = cci(low, rsi_smooth)
method_low = method == 0 ? rsi_2 : method == 1 ? f_macd__2 : 
   method == 2 ? stoch_2 : method == 3 ? sma_2 : method == 4 ? f_accdist__2 : 
   method == 5 ? f_fisher__2 : method == 6 ? cci_2 : na

fractal_top = f_fractalize(method_high) > 0 ? method_high[2] : na
fractal_bot = f_fractalize(method_low) < 0 ? method_low[2] : na

high_prev = valuewhen(fractal_top, method_high[2], 1)
high_price = valuewhen(fractal_top, high[2], 1)
low_prev = valuewhen(fractal_bot, method_low[2], 1)
low_price = valuewhen(fractal_bot, low[2], 1)

regular_bearish_div = fractal_top and high[2] > high_price and method_high[2] < high_prev
hidden_bearish_div = fractal_top and high[2] < high_price and method_high[2] > high_prev
regular_bullish_div = fractal_bot and low[2] < low_price and method_low[2] > low_prev
hidden_bullish_div = fractal_bot and low[2] > low_price and method_low[2] < low_prev

plot(title='H F', series=fractal_top ? high[2] : na, color=regular_bearish_div or hidden_bearish_div ? color.maroon : not SHOW_CHANNEL ? na : color.silver, offset=-2)
plot(title='L F', series=fractal_bot ? low[2] : na, color=regular_bullish_div or hidden_bullish_div ? color.green : not SHOW_CHANNEL ? na : color.silver, offset=-2)
plot(title='H D', series=fractal_top ? high[2] : na, style=plot.style_circles, color=regular_bearish_div or hidden_bearish_div ? color.maroon : not SHOW_CHANNEL ? na : color.silver, linewidth=3, offset=-2)
plot(title='L D', series=fractal_bot ? low[2] : na, style=plot.style_circles, color=regular_bullish_div or hidden_bullish_div ? color.green : not SHOW_CHANNEL ? na : color.silver, linewidth=3, offset=-2)

plotshape(title='+RBD', series=not SHOW_LABEL ? na : regular_bearish_div ? high[2] : na, text='R', style=shape.labeldown, location=location.absolute, color=color.maroon, textcolor=color.white, offset=-2)
plotshape(title='+HBD', series=not SHOW_LABEL ? na : hidden_bearish_div ? high[2] : na, text='H', style=shape.labeldown, location=location.absolute, color=color.maroon, textcolor=color.white, offset=-2)
plotshape(title='-RBD', series=not SHOW_LABEL ? na : regular_bullish_div ? low[2] : na, text='R', style=shape.labelup, location=location.absolute, color=color.green, textcolor=color.white, offset=-2)
plotshape(title='-HBD', series=not SHOW_LABEL ? na : hidden_bullish_div ? low[2] : na, text='H', style=shape.labelup, location=location.absolute, color=color.green, textcolor=color.white, offset=-2)

// Code borrowed from UCS_Murrey's Math Oscillator by Ucsgears
//  - UCS_MMLO
// Inputs
length = input(100, minval=10, title="MMLO Look back Length")
quad = input(2, minval=1, maxval=4, step=1, title="Mininum Quadrant for MMLO Support")
mult = 0.125

// Donchanin Channel
hi = highest(high, length)
lo = lowest(low, length)
range = hi - lo
multiplier = range * mult
midline = lo + multiplier * 4

oscillator = (close - midline) / (range / 2)

a = oscillator > 0
b = oscillator > 0 and oscillator > mult * 2
c = oscillator > 0 and oscillator > mult * 4
d = oscillator > 0 and oscillator > mult * 6

z = oscillator < 0
y = oscillator < 0 and oscillator < -mult * 2
x = oscillator < 0 and oscillator < -mult * 4
w = oscillator < 0 and oscillator < -mult * 6


//  Strategy: (Thanks to JayRogers)
// === STRATEGY RELATED INPUTS ===
//tradeInvert     = input(defval = false, title = "Invert Trade Direction?")
// the risk management inputs
inpTakeProfit = input(defval=0, title="Take Profit Points", minval=0)
inpStopLoss = input(defval=0, title="Stop Loss Points", minval=0)
inpTrailStop = input(defval=100, title="Trailing Stop Loss Points", minval=0)
inpTrailOffset = input(defval=0, title="Trailing Stop Loss Offset Points", minval=0)

// === RISK MANAGEMENT VALUE PREP ===
// if an input is less than 1, assuming not wanted so we assign 'na' value to disable it.
useTakeProfit = inpTakeProfit >= 1 ? inpTakeProfit : na
useStopLoss = inpStopLoss >= 1 ? inpStopLoss : na
useTrailStop = inpTrailStop >= 1 ? inpTrailStop : na
useTrailOffset = inpTrailOffset >= 1 ? inpTrailOffset : na

// === STRATEGY - LONG POSITION EXECUTION ===
enterLong() =>  // functions can be used to wrap up and work out complex conditions
    (uReg and regular_bullish_div or uHid and hidden_bullish_div) and 
       (quad == 1 ? a[1] : 
       quad == 2 ? b[1] : quad == 3 ? c[1] : quad == 4 ? d[1] : false)
exitLong() =>
    oscillator <= 0
strategy.entry(id="Buy", long=true, when=enterLong())  // use function or simple condition to decide when to get in
strategy.close(id="Buy", when=exitLong())  // ...and when to get out

// === STRATEGY - SHORT POSITION EXECUTION ===
enterShort() =>
    (uReg and regular_bearish_div or uHid and hidden_bearish_div) and 
       (quad == 1 ? z[1] : 
       quad == 2 ? y[1] : quad == 3 ? x[1] : quad == 4 ? w[1] : false)
exitShort() =>
    oscillator >= 0
strategy.entry(id="Sell", long=false, when=enterShort())
strategy.close(id="Sell", when=exitShort())

// === STRATEGY RISK MANAGEMENT EXECUTION ===
// finally, make use of all the earlier values we got prepped
strategy.exit("Exit Buy", from_entry="Buy", profit=useTakeProfit, loss=useStopLoss, trail_points=useTrailStop, trail_offset=useTrailOffset)
strategy.exit("Exit Sell", from_entry="Sell", profit=useTakeProfit, loss=useStopLoss, trail_points=useTrailStop, trail_offset=useTrailOffset)


//EOF
Связанные
Больше