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Strategi perdagangan Bollinger Band Wave Weis

Penulis:ChaoZhang, Tanggal: 2023-09-13 13:55:24
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Strategi ini menggabungkan indikator Wave Weis dan Bollinger Bands untuk menentukan tren pasar, perdagangan breakout pada level support/resistance utama.

Logika Strategi:

  1. Hitung Wave Weis dan gunakan trend kolom untuk menentukan tren harga.

  2. Menghitung BB band atas/bawah, memasuki perdagangan ketika harga melanggar band.

  3. Pergi panjang ketika Wave Weis menunjukkan tren bullish dan harga pecah di atas BB top.

  4. Pergi short ketika Wave Weis menunjukkan tren bearish dan harga pecah di bawah BB bawah.

  5. Menggunakan keluar keuntungan/kerugian ketika muncul tren terbalik.

Keuntungan:

  1. Gelombang Weis secara akurat menilai arah tren utama.

  2. BB mengidentifikasi level support/resistance utama.

  3. Menggabungkan indikator meningkatkan akurasi.

Risiko:

  1. Baik gelombang Weis dan BB lag, menyebabkan waktu masuk yang buruk.

  2. Penarikan rentan terhadap perangkap, membutuhkan pemberhentian.

  3. Sulit untuk menemukan tren terus menerus dan istirahat yang jelas di berbagai pasar.

Singkatnya, strategi ini menggabungkan Weis Wave dan BB untuk bias tren dan penembusan perdagangan.


/*backtest
start: 2023-08-13 00:00:00
end: 2023-09-12 00:00:00
period: 1h
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/
// © sharatgbhat

//@version=4
// strategy("Weis BB Strategy", overlay=false, default_qty_type = strategy.percent_of_equity, default_qty_value = 10,max_lines_count = 500, max_labels_count = 500)
maxIdLossPcnt = input(1, "Max Intraday Loss(%)", type=input.float)
// strategy.risk.max_intraday_loss(maxIdLossPcnt, strategy.percent_of_equity)

method = input(defval="ATR", options=["ATR", "Traditional", "Part of Price"], title="Renko Assignment Method")
methodvalue = input(defval=14.0, type=input.float, minval=0, title="Value")
pricesource = input(defval="Close", options=["Close", "Open / Close", "High / Low"], title="Price Source")
useClose = pricesource == "Close"
useOpenClose = pricesource == "Open / Close" or useClose
useTrueRange = input(defval="Auto", options=["Always", "Auto", "Never"], title="Use True Range instead of Volume")
isOscillating = input(defval=false, type=input.bool, title="Oscillating")
normalize = input(defval=false, type=input.bool, title="Normalize")
vol = useTrueRange == "Always" or useTrueRange == "Auto" and na(volume) ? tr : volume
op = useClose ? close : open
hi = useOpenClose ? close >= op ? close : op : high
lo = useOpenClose ? close <= op ? close : op : low

if method == "ATR"
    methodvalue := atr(round(methodvalue))
if method == "Part of Price"
    methodvalue := close / methodvalue

currclose = float(na)
prevclose = nz(currclose[1])
prevhigh = prevclose + methodvalue
prevlow = prevclose - methodvalue
currclose := hi > prevhigh ? hi : lo < prevlow ? lo : prevclose

direction = int(na)
direction := currclose > prevclose ? 1 : currclose < prevclose ? -1 : nz(direction[1])
directionHasChanged = change(direction) != 0
directionIsUp = direction > 0
directionIsDown = direction < 0

barcount = 1
barcount := not directionHasChanged and normalize ? barcount[1] + barcount : barcount
vol := not directionHasChanged ? vol[1] + vol : vol
res = barcount > 1 ? vol / barcount : vol

plot(isOscillating and directionIsDown ? -res : res, style=plot.style_columns, color=directionIsUp ? color.green : color.red, transp=75, linewidth=3, title="Wave Volume")

length = input(14, minval=1)
src = input(close, title="Source")
mult = input(2, minval=0.001, maxval=50, title="StdDev")
basis = sma(src, length)
dev = mult * stdev(src, length)
upper = basis + dev
lower = basis - dev
offset = input(0, "Offset", type = input.integer, minval = -500, maxval = 500)
plot(basis, "Basis", color=#FF6D00, offset = offset)
p1 = plot(upper, "Upper", color=#2962FF, offset = offset)
p2 = plot(lower, "Lower", color=#2962FF, offset = offset)
fill(p1, p2, title = "Background", color=color.rgb(33, 150, 243, 95))

MomentumBull = close>upper
MomentumBear = close<lower

if (MomentumBull and directionIsUp)
	strategy.entry("Buy", strategy.long)
if (MomentumBear and directionIsDown)
	strategy.entry("Sell", strategy.short)
    strategy.exit("exit","Buy",when=directionIsDown,qty_percent=100,profit=20,loss=10)
    strategy.exit("exit","Sell",when=directionIsUp,qty_percent=100,profit=20,loss=10)
    

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