Strategi perdagangan ini menggabungkan beberapa penunjuk termasuk RSI, Stochastic, Bollinger Bands dan SuperTrend untuk menjana isyarat perdagangan.
Khususnya, ia menganggap RSI di atas 50 dan nilai Stochastic K di atas D sebagai isyarat kenaikan. Harga di bawah SuperTrend mewakili trend menaik, dan SuperTrend di bawah jalur tengah BB membentuk isyarat panjang.
Sebaliknya, RSI di bawah 50 dan Stochastic K di bawah D memberikan isyarat penurunan. Harga di atas SuperTrend menunjukkan trend penurunan, dan SuperTrend di atas BB band tengah mewujudkan isyarat pendek.
Kombinasi pelbagai penunjuk berfungsi sebagai penapis yang berkesan untuk meningkatkan kebolehpercayaan isyarat. Strategi ini juga menetapkan syarat berhenti kerugian dan mengambil keuntungan untuk mengawal risiko.
Walau bagaimanapun, penggabungan penunjuk juga memperkenalkan kelewatan, berpotensi kehilangan entri optimum. Penyesuaian langsung parameter masih diperlukan, bersama-sama dengan pemantauan kesan ekonomi keseluruhan. Pengurusan risiko yang komprehensif adalah penting untuk keuntungan stabil jangka panjang.
/*backtest
start: 2023-01-01 00:00:00
end: 2023-03-10 00:00:00
period: 45m
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/
// © rajm14
//@version=5
strategy(title = "Golden Swing Strategy - Souradeep Dey", shorttitle = "GSS", overlay = true, process_orders_on_close = true, default_qty_type = strategy.cash, default_qty_value=100000, currency = currency.USD)
// Indicator - RSI - 20
rsiSrc = input(defval = close, title = "RSI Source")
rsiLen = input.int(defval = 20, title = "RSI Length", minval = 0, maxval = 200, step = 1)
rsi = ta.rsi(rsiSrc, rsiLen)
//plot(rsi)
// Indicator - Stochastic (55,34,21)
kLength = input.int(defval = 55, title="Stoch %K Length", minval=1)
kSmooth = input.int(defval = 34, title="Stoch %K Smoothing", minval=1)
dLength = input.int(defval = 21, title="Stoch %D Smoothing", minval=1)
kLine = ta.sma(ta.stoch(close, high, low, kLength), kSmooth)
dLine = ta.sma(kLine, dLength)
// plot(kLine, color=color.red)
// plot(dLine, color=color.green)
// Indicator - ATR(5)
atrLength = input(5, "ATR Length")
atr = ta.atr(5)
// plot(atr)
// Indicator - SuperTrend(10,2)
atrPeriod = input(10, "SuperTrend ATR Length")
stSrc = hl2
stfactor = input.float(2.0, "SuperTrend Multiplier", step = 0.1)
stAtr = ta.atr(atrPeriod)
[supertrend, direction] = ta.supertrend(stfactor, atrPeriod)
bodyMiddle = (open + close) / 2
upTrend = direction < 0 ? supertrend : na
downTrend = direction < 0? na : supertrend
// plot(bodyMiddle, display=display.none)
// plot(upTrend)
// plot(downTrend)
// Indicator - Bollinger Bands (20,2)
bblength = input.int(defval = 20, title = "BB Length")
bbsource = input(defval = close, title = "BB Source")
bbStdDev = input.float(defval = 2.0, title = "BB Std Dev", step = 0.1)
bbmultiplier = bbStdDev * ta.stdev(bbsource, bblength)
bbMband = ta.sma(bbsource, bblength)
bbUband = bbMband + bbmultiplier
bbLband = bbMband - bbmultiplier
// plot (bbUband, color = color.red, linewidth = 2)
// plot (bbMband, color = color.black, linewidth = 2)
// plot (bbLband, color = color.green, linewidth = 2)
// Trade Entry
LongEntry = rsi >= 50 and kLine > dLine and low < supertrend and direction < 0 and supertrend < bbMband
ShortEntry = rsi <= 50 and kLine < dLine and high > supertrend and direction > 0 and supertrend > bbMband
plotshape(LongEntry, style = shape.triangleup, text = "Long", location = location.belowbar, size = size.large, color = color.green)
plotshape(ShortEntry, style = shape.triangledown, text = "Short", location = location.abovebar, size = size.large, color = color.red)
//Trade execution
if LongEntry
strategy.entry(id = "Buy", direction = strategy.long, limit = close * .5 * atr)
closelong = close >= strategy.position_avg_price * 2.2 * atr
stoplong = close <= strategy.position_avg_price * 1.1 * atr
if closelong
strategy.close(id = "Buy")
if stoplong
strategy.close(id = "Buy")
if ShortEntry
strategy.entry(id = "Sell", direction = strategy.long, limit = close * .5 * atr)
closeshort = close <= strategy.position_avg_price * 2.2 * atr
stopshort = close >= strategy.position_avg_price * 1.1 * atr
if closeshort
strategy.close(id = "Sell")
if stopshort
strategy.close(id = "Sell")