Jelas Trend Mengikuti Strategi


Tarikh penciptaan: 2023-09-28 16:07:12 Akhirnya diubah suai: 2023-09-28 16:07:12
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Gambaran keseluruhan

Strategi ini menggabungkan pelbagai petunjuk teknikal untuk mengesan trend dengan jelas. Strategi ini terdiri daripada beberapa bahagian:

  1. Penilaian trend berdasarkan garis rata-rata
  2. Penilaian overbought dan oversold berdasarkan petunjuk rawak
  3. Penghakiman aliran wang berdasarkan harga
  4. Penilaian kualiti trend berdasarkan indikator turun naik
  5. Penilaian deviasi berdasarkan RSI

Prinsip

Strategi ini mula-mula menilai arah trend harga melalui garis rata-rata. Secara khusus, ia adalah mengira purata harga dalam tempoh tertentu, dan saluran pita rata-rata. Saluran harga yang pecah menunjukkan kemungkinan pembalikan trend.

Kemudian digabungkan dengan penunjuk KD dalam penunjuk rawak, untuk menentukan sama ada harga berada dalam keadaan overbought atau oversold. Keadaan overbought oversold sering menandakan peluang untuk harga berbalik.

Kemudian, menggunakan maklumat mengenai jumlah transaksi, aliran masuk dan aliran keluar dana dinilai dengan membina penunjuk kuantiti harga. Kenaikan kuantiti menunjukkan aliran masuk dana dan perkembangan trend, dan penurunan kuantiti mewakili aliran keluar dana dan pembalikan trend.

Untuk menilai kualiti trend, bina indeks data pasaran menggunakan julat pergerakan harga purata, kemudian kira EMA untuk menilai kekuatan trend. Dengan cara ini, anda boleh menyaring beberapa trend palsu.

Akhir sekali, RSI boleh digunakan untuk mengesan harga dan pergerakan yang tidak menentu, yang juga sering menandakan perubahan trend yang akan datang.

Menggabungkan maklumat mengenai petunjuk ini, trend harga dapat difahami dengan lebih jelas. Strategi ini akan membina kedudukan multihead apabila terdapat persilangan emas di garis rata dan kedudukan kosong apabila terdapat persilangan mati.

Kelebihan

  • Keputusan komprehensif pelbagai indikator, penapisan kebisingan, membuat keputusan trend lebih jelas dan boleh dipercayai
  • Bergabung dengan penilaian overbought dan oversold, anda boleh menentukan masa untuk berbalik
  • Indeks kuantitatif untuk menilai aliran wang dan mengelakkan penembusan palsu
  • Penunjuk lonjakan mengukur kualiti trend, untuk mengelakkan tertipu oleh getaran kecil
  • RSI berpatah balik untuk memberi isyarat pembalikan trend tambahan
  • Struktur kod jelas, mudah difahami dan diubah suai

Risiko

  • Keadaan ini boleh menyebabkan konflik isyarat dan perlu dipertimbangkan dengan teliti.
  • Ketagihan kuantiti mungkin juga disebabkan oleh permainan wang, perlu berhati-hati
  • Sesetengah penunjuk seperti RSI perlu disesuaikan dengan parameter yang berbeza
  • Kesalahan isyarat yang mudah berlaku dalam getaran kecil
  • Indeks pasaran yang tidak cekap akan memberi kesan negatif

Langkah-langkah untuk menangani risiko:

  • Peningkatan penyesuaian parameter untuk memastikan indikator berfungsi dengan baik
  • Menambah penentuan berat indeks, menangani konflik isyarat
  • Menyesuaikan parameter mengikut ciri-ciri varieti yang berbeza
  • Meningkatkan kadar pegangan dan mengurangkan kadar dagangan
  • Menggunakan kesan pengesahan simulasi cakera tetap

Arah pengoptimuman

Strategi ini boleh dioptimumkan dalam beberapa aspek:

  1. Menggunakan kaedah pembelajaran mesin untuk mengoptimumkan parameter secara automatik untuk menjadikan indikator lebih sesuai dengan ciri-ciri varieti yang berbeza

  2. Menambah modul penilaian model, menyesuaikan berat setiap indikator mengikut dinamik peringkat pasaran yang berbeza

  3. Menambah strategi penangguhan kerugian yang beradaptasi, yang dapat menyesuaikan titik penangguhan mengikut turun naik pasaran

  4. Mengambil lebih banyak ciri dengan pembelajaran mendalam untuk menilai trend dengan lebih tepat

  5. Membangunkan modul penyesuaian isyarat automatik untuk menangani konflik penunjuk dan keadaan isyarat yang mudah rosak

  6. Menambah model bersepadu, mengintegrasikan lebih banyak penilaian indikator teknikal, menghasilkan keputusan ramalan yang sistematik

  7. Meneroka penunjuk tanpa parameter, mengurangkan ketergantungan penunjuk pada parameter

ringkaskan

Strategi ini mempunyai kelebihan dan prospek aplikasi dalam bidang strategi penilaian trend dengan mengintegrasikan kekuatan pelbagai petunjuk teknikal untuk menilai trend harga secara menyeluruh. Namun, pengoptimuman berterusan untuk meningkatkan ketepatan penilaian dan mengurangkan risiko kesalahan penilaian masih diperlukan untuk beroperasi secara stabil di lapangan.

Kod sumber strategi
/*backtest
start: 2022-09-21 00:00:00
end: 2023-09-27 00:00:00
period: 1d
basePeriod: 1h
exchanges: [{"eid":"Futures_Binance","currency":"BTC_USDT"}]
*/

//@version=3
//Market Cipher Update 2 - updated 8th Oct 2019

//Momentum Curves with green and red dots
strategy(title="MarketCipher B", shorttitle="MarketCipher B")
n1 = input(9, "Channel Length")
n2 = input(12, "Average Length")
obLevel1 = input(60, "Over Bought Level 1")
obLevel2 = input(53, "Over Bought Level 2")
osLevel1 = input(-60, "Over Sold Level 1")
osLevel2 = input(-53, "Over Sold Level 2")
osLevel3 = input(-100, "Over Sold Level 2")

 
ap = hlc3 
esa = ema(ap, n1)
d = ema(abs(ap - esa), n1)
ci = (ap - esa) / (0.015 * d)
tci = ema(ci, n2)
 
wt1 = tci
wt2 = sma(wt1,3)

plot(0, color=gray, title="Zero Line")
plot(obLevel1, color=red, style=3, title="Bottom")
plot(osLevel1, color=green, style=3, title="Top")
plot(wt1, color=#BFE4FF, style=4, title= "Lt Blue Wave")
plot(wt2, color=#673ab7, style=4, title="Blue Wave", transp=40)
plot(wt1-wt2, color=yellow, style=4, transp=40, title="wave1-wave2")

//green dots and crosses
plotshape(crossover(wt1, wt2) and osLevel1 ? wt2 : na, title="Pos Crossover", location=location.absolute, style=shape.cross, size=size.tiny, color=#3FFF00, transp=20)
plotshape(crossover(wt2, wt1) and osLevel1 ? wt1 : na, title="Neg Crossover", location=location.absolute, style=shape.cross, size=size.tiny, color=red, transp=20)
plotshape(crossover(wt1, wt2) and wt2 < -59 ? wt2 : na, title="Pos Crossover", location=location.bottom, style=shape.circle, size=size.tiny, color=#3FFF00, transp=20)
plotshape(crossover(wt2, wt1) and wt1 > 59 ? wt2 : na, title="Neg Crossover", location=location.top, style=shape.circle, size=size.tiny, color=red, transp=20)

buy= crossover(wt1,wt2) // Define our buy/sell conditions, using pine inbuilt functions.
sell= crossover(wt2,wt1)
ordersize=floor(strategy.equity/close) // To dynamically calculate the order size as the account equity increases or decreases.
strategy.entry("long",strategy.long,ordersize,when=buy) // Buys when buy condition met
strategy.close("long", when = sell ) // Closes position when sell condition met
strategy.entry("short",strategy.short,ordersize,when=sell)
strategy.close("short",when = buy )

//soch RSI with divergences
smoothKw = input(3, minval=1)
smoothDw = input(3, minval=1)
lengthRSIw = input(14, minval=1)
lengthStochw = input(14, minval=1)
uselogw = input(true, title="Log")
srcInw = input(close,  title="Source")
showdivsw = input(true, title="Show Divergences")
showhiddenw = input(false, title="Show Hidden Divergences")
showchanw = input(false, title="Show Divergences Channel")


srcw = uselogw ? log(srcInw) : srcInw
rsi1w = rsi(srcw, lengthRSIw)
kkw = sma(stoch(rsi1w, rsi1w, rsi1w, lengthStochw), smoothKw)
dw = sma(kkw, smoothDw)
hmw = input(false, title="Use Average of both K & D")
kw = hmw ? avg(kkw, dw) : kkw

aw = plot(kkw, color=blue, linewidth=1, transp=0, title="K")
bw = plot(dw, color=orange, linewidth=1, transp=0, title="D")
fw = kkw >= dw ? blue : orange
fill(aw, bw, title="KD Fill", color=white)


//------------------------------
//@RicardoSantos' Divergence Script

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
//-------------------------
fractal_top = f_fractalize(kw) > 0 ? kw[2] : na
fractal_bot = f_fractalize(kw) < 0 ? kw[2] : na

high_prev = valuewhen(fractal_top, kw[2], 0)[2]
high_price = valuewhen(fractal_top, high[2], 0)[2]
low_prev = valuewhen(fractal_bot, kw[2], 0)[2]
low_price = valuewhen(fractal_bot, low[2], 0)[2]

regular_bearish_diva = fractal_top and high[2] > high_price and kw[2] < high_prev
hidden_bearish_diva = fractal_top and high[2] < high_price and kw[2] > high_prev
regular_bullish_diva = fractal_bot and low[2] < low_price and kw[2] > low_prev
hidden_bullish_diva = fractal_bot and low[2] > low_price and kw[2] < low_prev
//-------------------------
plot(showchanw?fractal_top:na, title="Top Div Channel", offset=-2, color=gray)
plot(showchanw?fractal_bot:na, title="Bottom Div Channel", offset=-2, color=gray)

col1 = regular_bearish_diva ? red : hidden_bearish_diva and showhiddenw ? red : na
col2 = regular_bullish_diva ? green : hidden_bullish_diva and showhiddenw ? green : na
col3 = regular_bearish_diva ? red : hidden_bearish_diva and showhiddenw ? red : showchanw ? gray : na
col4 = regular_bullish_diva ? green : hidden_bullish_diva and showhiddenw ? green : showchanw ? gray : na

plot(title='H F', series=showdivsw and fractal_top ? kw[2] : na, color=col1, linewidth=2, offset=-2)
plot(title='L F', series=showdivsw and fractal_bot ? kw[2] : na, color=col2, linewidth=2, offset=-2)
plot(title='H D', series=showdivsw and fractal_top ? kw[2] : na, style=circles, color=col3, linewidth=3, offset=-2)
plot(title='L D', series=showdivsw and fractal_bot ? kw[2] : na, style=circles, color=col4, linewidth=3, offset=-2)

plotshape(title='+RBD', series=showdivsw and regular_bearish_diva ? kw[2] : na, text='R', style=shape.labeldown, location=location.absolute, color=red, textcolor=white, offset=-2)
plotshape(title='+HBD', series=showdivsw and hidden_bearish_diva and showhiddenw ? kw[2] : na, text='H', style=shape.labeldown, location=location.absolute, color=red, textcolor=white, offset=-2)
plotshape(title='-RBD', series=showdivsw and regular_bullish_diva ? kw[2] : na, text='R', style=shape.labelup, location=location.absolute, color=green, textcolor=white, offset=-2)
plotshape(title='-HBD', series=showdivsw and hidden_bullish_diva  and showhiddenw ? kw[2] : na, text='H', style=shape.labelup, location=location.absolute, color=green, textcolor=white, offset=-2)


//money flow
colorRed = #ff0000
colorGreen = #03ff00

ma(matype, src, length) =>
    if matype == "RMA"
        rma(src, length)
    else
        if matype == "SMA"
            sma(src, length)
        else
            if matype == "EMA"
                ema(src, length)
            else
                if matype == "WMA"
                    wma(src, length)
                else
                    if matype == "VWMA"
                        vwma(src, length)
                    else
                        src

rsiMFIperiod = input(60, "RSI+MFI Period")
rsiMFIMultiplier = input(190, "RSI+MFI Area multiplier")
MFRSIMA = input(defval="SMA", title="MFRSIMA", options=["RMA", "SMA", "EMA", "WMA", "VWMA"])

candleValue = (close - open) / (high - low)
MVC = ma(MFRSIMA, candleValue, rsiMFIperiod)
color_area = MVC > 0 ? green : red

RSIMFIplot = plot(MVC * rsiMFIMultiplier, title="RSI+MFI Area", color=color_area, transp=35)
fill(RSIMFIplot, plot(0), color_area, transp=50)

//rsi
//Bullish Divergence (green triangle)
//Hidden Bullish Divergence (green circle)
//Bearish Divergence (red triangle)
//Hidden Bearish Divergence (red circle)

lend = 14
bearish_div_rsi = input(60, "Min Bearish RSI",  minval=50, maxval=100)
bullish_div_rsi = input(40, "Max Bullish RSI",  minval=0, maxval=50)

// RSI code
rsi = rsi(close, lend)
plot(rsi,  color=#6DFFE1, linewidth=2, transp=0, title="RSI")

// DIVS code
xbars = 60
hb = abs(highestbars(rsi, xbars)) // Finds bar with highest value in last X bars
lb = abs(lowestbars(rsi, xbars)) // Finds bar with lowest value in last X bars

// Defining variable values, mandatory in Pine 3
max = na
max_rsi = na
min = na
min_rsi = na
bearish_div = na
bullish_div = na
hidden_bearish_div = na
hidden_bullish_div = na
div_alert = na
hidden_div_alert = na

// If bar with lowest / highest is current bar, use it's value
max := hb == 0 ? close : na(max[1]) ? close : max[1]
max_rsi := hb == 0 ? rsi : na(max_rsi[1]) ? rsi : max_rsi[1]
min := lb == 0 ? close : na(min[1]) ? close : min[1]
min_rsi := lb == 0 ? rsi : na(min_rsi[1]) ? rsi : min_rsi[1]

// Compare high of current bar being examined with previous bar's high
// If curr bar high is higher than the max bar high in the lookback window range
if close > max // we have a new high
    max := close // change variable "max" to use current bar's high value
if rsi > max_rsi // we have a new high
    max_rsi := rsi // change variable "max_rsi" to use current bar's RSI value
if close < min // we have a new low
    min := close // change variable "min" to use current bar's low value
if rsi < min_rsi // we have a new low
    min_rsi := rsi // change variable "min_rsi" to use current bar's RSI value

// Detects divergences between price and indicator with 1 candle delay so it filters out repeating divergences
if (max[1] > max[2]) and (rsi[1] < max_rsi) and (rsi <= rsi[1]) and (rsi[1] >= bearish_div_rsi)
    bearish_div := true
	div_alert := true
if (min[1] < min[2]) and (rsi[1] > min_rsi) and (rsi >= rsi[1]) and (rsi[1] <= bullish_div_rsi)
    bullish_div := true
	div_alert := true
// Hidden divergences
if (max[1] < max[2]) and (rsi[1] < max_rsi)
	hidden_bearish_div := true
	hidden_div_alert := true
if (min[1] > min[2]) and (rsi[1] > min_rsi)
	hidden_bullish_div := true
	hidden_div_alert := true
// Alerts
alertcondition(div_alert, title='RSI Divergence', message='RSI Divergence')
alertcondition(hidden_div_alert, title='Hidden RSI Divergence', message='Hidden RSI Divergence')

// Plots divergences with offest
plotshape((bearish_div ? rsi[1] + 3 : na), location=location.absolute, style=shape.diamond, color=#ff0000, size=size.tiny, transp=0, offset=0, title="RSI Bear Div")
plotshape((bullish_div ? rsi[1] - 3 : na), location=location.absolute, style=shape.diamond, color=#00ff01, size=size.tiny, transp=0, offset=0, title="RSI Bull Div")
plotshape((hidden_bearish_div ? rsi[1] + 3 : na), location=location.absolute, style=shape.circle, color=#ff0000, size=size.tiny, transp=0, offset=0, title="RSI Bear hDiv")
plotshape((hidden_bullish_div ? rsi[1] - 3 : na), location=location.absolute, style=shape.circle, color=#00ff01, size=size.tiny, transp=0, offset=0, title="RSI Bull hDiv")


//wave divergences
WTCross = cross(wt1, wt2)
WTCrossUp = wt2 - wt1 <= 0
WTCrossDown = wt2 - wt1 >= 0
WTFractal_top = f_fractalize(wt1) > 0 and wt1[2] ? wt1[2] : na
WTFractal_bot = f_fractalize(wt1) < 0 and wt1[2] ? wt1[2] : na

WTHigh_prev  = valuewhen(WTFractal_top, wt1[2], 0)[2]
WTHigh_price = valuewhen(WTFractal_top, high[2], 0)[2]
WTLow_prev  = valuewhen(WTFractal_bot, wt1, 0)[2]
WTLow_price  = valuewhen(WTFractal_bot, low[2], 0)[2]

WTRegular_bearish_div = WTFractal_top and high[2] > WTHigh_price and wt1[2] < WTHigh_prev
WTRegular_bullish_div = WTFractal_bot and low[2] < WTLow_price and wt1[2] > WTLow_prev

bearWTSignal = WTRegular_bearish_div and WTCrossDown
bullWTSignal = WTRegular_bullish_div and WTCrossUp

WTCol1 = bearWTSignal ? #ff0000 : na
WTCol2 = bullWTSignal ? #00FF00EB : na

plot(series = WTFractal_top ? wt1[2] : na, title='Bearish Divergence', color=WTCol1, linewidth=5, transp=60)
plot(series = WTFractal_bot ? wt1[2] : na, title='Bullish Divergence', color=WTCol2, linewidth=5, transp=60)


//2nd wave
WTFractal_topa = f_fractalize(wt2) > 0 and wt2[2] ? wt2[2] : na
WTFractal_bota = f_fractalize(wt2) < 0 and wt2[2] ? wt2[2] : na

WTHigh_preva  = valuewhen(WTFractal_topa, wt2[2], 0)[2]
WTHigh_pricea = valuewhen(WTFractal_topa, high[2], 0)[2]
WTLow_preva  = valuewhen(WTFractal_bota, wt2, 0)[2]
WTLow_pricea  = valuewhen(WTFractal_bota, low[2], 0)[2]


WTRegular_bearish_diva = WTFractal_topa and high[2] > WTHigh_pricea and wt2[2] < WTHigh_preva
WTRegular_bullish_diva = WTFractal_bota and low[2] < WTLow_pricea and wt2[2] > WTLow_preva

bearWTSignala = WTRegular_bearish_diva and WTCrossDown
bullWTSignala = WTRegular_bullish_diva and WTCrossUp

WTCol1a = bearWTSignala ? #ff0000 : na
WTCol2a = bullWTSignala ? #00FF00EB : na

plot(series = WTFractal_topa ? wt2[2] : na, title='Bearish Divergence', color=WTCol1a, linewidth=5, transp=60)
plot(series = WTFractal_bota ? wt2[2] : na, title='Bullish Divergence', color=WTCol2a, linewidth=5, transp=60)