Strategi perdagangan trend berdasarkan perbezaan harga


Tarikh penciptaan: 2024-02-02 18:00:55 Akhirnya diubah suai: 2024-02-02 18:00:55
Salin: 1 Bilangan klik: 695
1
fokus pada
1617
Pengikut

Strategi perdagangan trend berdasarkan perbezaan harga

Gambaran keseluruhan

Strategi ini adalah strategi perdagangan trend berdasarkan isyarat penyebaran harga. Ia menggunakan pelbagai petunjuk untuk mengesan isyarat penyebaran harga, seperti RSI, MACD, Stochastics, dan lain-lain, dan disahkan melalui pendorong Murray Math. Apabila isyarat penyebaran harga muncul, jika pendorong juga mengesahkan arah tren semasa, masuklah.

Prinsip Strategi

Pusat strategi ini adalah teori penyebaran harga. Apabila harga berinovasi tinggi tetapi indikator tidak berinovasi tinggi, ia dipanggil penyebaran harga bear market; apabila harga berinovasi rendah tetapi indikator tidak berinovasi rendah, ia dipanggil penyebaran harga bull market. Ini menunjukkan bahawa trend mungkin berbalik.

Secara khusus, syarat-syarat untuk menyertai strategi ini ialah:

  1. Menemui isyarat pelepasan harga, termasuk pelepasan biasa dan pelepasan tersembunyi
  2. Oscillator Murrey Math terletak dalam zon trend yang sesuai

Keadaan keluar adalah untuk pengayun kembali melalui garisan tengah.

Analisis kelebihan

Strategi ini menggabungkan teori pelebaran harga dan pengesahan trend dengan kelebihan berikut:

  1. Menggunakan isyarat pelepasan harga untuk mengesan titik-titik perubahan trend yang berpotensi
  2. Menggunakan pengayun untuk mengesahkan trend semasa dan mengelakkan penembusan palsu
  3. Pelbagai penunjuk dan kombinasi parameter yang boleh disesuaikan secara fleksibel
  4. Mengikuti Trend dan Mengelakkan Kerugian
  5. Peraturan logik jelas, ruang untuk pengoptimuman kod

Analisis risiko

Risiko utama adalah:

  1. Sinyal harga mungkin palsu dan tidak dapat mengesahkan perubahan trend sepenuhnya
  2. Tetapan parameter pengayun yang tidak betul boleh menyebabkan kebocoran dan kehilangan peluang perdagangan
  3. Kecenderungan berlebihan dalam kedudukan kosong membawa risiko kerugian yang lebih besar
  4. Jumlah dagangan dan kos slippage mungkin meningkat semasa pergerakan yang kuat.

Ia disyorkan untuk menetapkan hentian kerugian, menyesuaikan kedudukan, mengoptimumkan kombinasi parameter untuk mengurangkan risiko.

Arah pengoptimuman

Strategi ini masih boleh dioptimumkan lagi:

  1. Menambah algoritma pembelajaran mesin untuk mengoptimumkan set parameter dalam masa nyata
  2. Menambah teknologi penangguhan yang beradaptasi, seperti penangguhan yang dijejaki, penangguhan purata dan sebagainya
  3. Meningkatkan nisbah bising komunikasi dengan lebih banyak penunjuk dan syarat penapisan
  4. Dinamik menyesuaikan parameter pendayung, mengoptimumkan trend penghakiman
  5. Mengoptimumkan pengurusan risiko, menetapkan had pengeluaran maksimum dan sebagainya

ringkaskan

Strategi ini mengintegrasikan teori pelebaran harga dan indikator analisis trend, yang dapat mengesan titik peralihan trend yang berpotensi secara berkesan. Digabungkan dengan langkah-langkah pengurusan risiko yang dioptimumkan, strategi ini dapat memperoleh kadar pulangan yang lebih baik.

Kod sumber strategi
/*backtest
start: 2024-01-02 00:00:00
end: 2024-02-01 00:00:00
period: 2h
basePeriod: 15m
exchanges: [{"eid":"Futures_Binance","currency":"BTC_USDT"}]
*/

//@version=2
//
// Title:   [STRATEGY][UL]Price Divergence Strategy V1
// Author:  JustUncleL
// Date:    23-Oct-2016
// Version: v1.0
//
// 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
//
// 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 v1.0', 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):',  defval=1, minval=0, maxval=6)
SHOW_LABEL = input(title='Show Labels', type=bool, defval=true)
SHOW_CHANNEL = input(title='Show Channel', type=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:',  defval=5)
//  ||  MACD Input:
macd_src = input(title='MACD Source:', defval=close)
macd_fast = input(title='MACD Fast:',  defval=12)
macd_slow = input(title='MACD Slow:',  defval=26)
macd_smooth = input(title='MACD Smooth Signal:',  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_top_fractal(_src) ? 1 : f_bot_fractal(_src) ? -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
//  ||<••   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)
//  ||<••   END ACC/DIST FUNCTION

//  ||••>   START FISHER FUNCTION
f_fisher(_src, _window)=>
    _h = highest(_src, _window)
    _l = lowest(_src, _window)
    _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])
//  ||<••   END FISHER FUNCTION

method_high = method == 0 ? rsi(high, rsi_smooth) : 
  method == 1 ? f_macd(macd_src, macd_fast, macd_slow, macd_smooth) :
  method == 2 ? stoch(close, high, low, rsi_smooth) :
  method == 3 ? sma(volume, rsi_smooth) :
  method == 4 ? f_accdist(rsi_smooth) :
  method == 5 ? f_fisher(high, rsi_smooth) :
  method == 6 ? cci(high, rsi_smooth) :
  na
    
method_low = method == 0 ? rsi(low, rsi_smooth) :
  method == 1 ? f_macd(macd_src, macd_fast, macd_slow, macd_smooth) :
  method == 2 ? stoch(close, high, low, rsi_smooth) :
  method == 3 ? sma(volume, rsi_smooth) :
  method == 4 ? f_accdist(rsi_smooth) :
  method == 5 ? f_fisher(low, rsi_smooth) :
  method == 6 ? cci(low, rsi_smooth) :
  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 ? maroon : not SHOW_CHANNEL ? na : silver, offset=-2)
plot(title='L F', series=fractal_bot ? low[2] : na, color=regular_bullish_div or hidden_bullish_div ? green : not SHOW_CHANNEL ? na : silver, offset=-2)
plot(title='H D', series=fractal_top ? high[2] : na, style=circles, color=regular_bearish_div or hidden_bearish_div ? maroon : not SHOW_CHANNEL ? na : silver, linewidth=3, offset=-2)
plot(title='L D', series=fractal_bot ? low[2] : na, style=circles, color=regular_bullish_div or hidden_bullish_div ? green : not SHOW_CHANNEL ? na : 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=maroon, textcolor=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=maroon, textcolor=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=green, textcolor=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=green, textcolor=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() => ((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)// functions can be used to wrap up and work out complex conditions
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