
Strategi ini ialah sistem perdagangan komprehensif yang menggabungkan berbilang penunjuk teknikal klasik, termasuk purata bergerak (MA), indeks kekuatan relatif (RSI), perbezaan penumpuan purata bergerak (MACD) dan Bollinger Bands (BB). Sistem ini menggunakan kerjasama terkoordinasi penunjuk ini untuk mencari isyarat beli dan jual yang lebih tepat di pasaran, dengan itu meningkatkan kadar kejayaan urus niaga.
Strategi ini menggunakan mekanisme pengesahan isyarat berbilang lapisan, yang merangkumi aspek berikut:
Sistem menjana isyarat dagangan di bawah syarat berikut:
Ini adalah sistem strategi perdagangan berbilang dimensi yang direka dengan baik yang menyediakan isyarat dagangan melalui sinergi pelbagai penunjuk teknikal. Kelebihan utama strategi terletak pada rangka kerja analisis yang komprehensif dan mekanisme pengesahan isyarat yang ketat, tetapi ia juga perlu memberi perhatian kepada isu seperti pengoptimuman parameter dan kebolehsuaian kepada persekitaran pasaran. Melalui arahan pengoptimuman yang disyorkan, strategi ini masih mempunyai banyak ruang untuk penambahbaikan.
/*backtest
start: 2019-12-23 08:00:00
end: 2024-12-25 08:00:00
period: 1d
basePeriod: 1d
exchanges: [{"eid":"Futures_Binance","currency":"BTC_USDT"}]
*/
//@version=5
strategy("Ultimate Buy/Sell Indicator", overlay=true)
// Inputs for Moving Averages
shortMaLength = input.int(9, title="Short MA Length", minval=1)
longMaLength = input.int(21, title="Long MA Length", minval=1)
// Inputs for RSI
rsiLength = input.int(14, title="RSI Length", minval=1)
rsiOverbought = input.int(70, title="RSI Overbought Level", minval=1, maxval=100)
rsiOversold = input.int(30, title="RSI Oversold Level", minval=1, maxval=100)
// Inputs for MACD
macdShortLength = input.int(12, title="MACD Short EMA Length", minval=1)
macdLongLength = input.int(26, title="MACD Long EMA Length", minval=1)
macdSignalSmoothing = input.int(9, title="MACD Signal Smoothing", minval=1)
// Inputs for Bollinger Bands
bbLength = input.int(20, title="Bollinger Bands Length", minval=1)
bbMultiplier = input.float(2.0, title="Bollinger Bands Multiplier", minval=0.1)
// Calculate Moving Averages
shortMa = ta.sma(close, shortMaLength)
longMa = ta.sma(close, longMaLength)
// Calculate RSI
rsi = ta.rsi(close, rsiLength)
// Calculate MACD
[macdLine, signalLine, _] = ta.macd(close, macdShortLength, macdLongLength, macdSignalSmoothing)
macdHist = macdLine - signalLine
// Calculate Bollinger Bands
[bbUpper, bbBasis, bbLower] = ta.bb(close, bbLength, bbMultiplier)
// Define colors
colorPrimary = color.new(color.green, 0)
colorSecondary = color.new(color.red, 0)
colorBackgroundBuy = color.new(color.green, 80)
colorBackgroundSell = color.new(color.red, 80)
colorTextBuy = color.new(color.green, 0)
colorTextSell = color.new(color.red, 0)
// Plot Moving Averages
plot(shortMa, color=colorPrimary, linewidth=2, title="Short MA")
plot(longMa, color=colorSecondary, linewidth=2, title="Long MA")
// Plot Bollinger Bands
bbUpperLine = plot(bbUpper, color=colorPrimary, linewidth=1, title="Bollinger Bands Upper")
bbLowerLine = plot(bbLower, color=colorPrimary, linewidth=1, title="Bollinger Bands Lower")
fill(bbUpperLine, bbLowerLine, color=color.new(colorPrimary, 90))
// Buy/Sell Conditions based on MA cross
buySignal = ta.crossover(shortMa, longMa)
sellSignal = ta.crossunder(shortMa, longMa)
// Execute Buy/Sell Orders
if buySignal
strategy.entry("Buy", strategy.long, 1)
strategy.close("Sell", qty_percent=1) // Close all positions when selling
if sellSignal
strategy.close("Sell", qty_percent=1) // Close all positions when selling
strategy.close("Buy") // Close any remaining buy positions
// Plot Buy/Sell Signals for MA crossovers
plotshape(series=buySignal, location=location.belowbar, color=colorTextBuy, style=shape.triangleup, size=size.small, title="Buy Signal")
plotshape(series=sellSignal, location=location.abovebar, color=colorTextSell, style=shape.triangledown, size=size.small, title="Sell Signal")
// Background Color based on Buy/Sell Signal for MA crossovers
bgcolor(buySignal ? colorBackgroundBuy : na, title="Buy Signal Background")
bgcolor(sellSignal ? colorBackgroundSell : na, title="Sell Signal Background")
// Plot RSI with Overbought/Oversold Levels
hline(rsiOverbought, "Overbought", color=colorSecondary, linestyle=hline.style_dashed, linewidth=1)
hline(rsiOversold, "Oversold", color=colorPrimary, linestyle=hline.style_dashed, linewidth=1)
plot(rsi, color=colorPrimary, linewidth=2, title="RSI")
// Plot MACD Histogram
plot(macdHist, color=colorPrimary, style=plot.style_histogram, title="MACD Histogram", linewidth=2)
hline(0, "Zero Line", color=color.new(color.gray, 80))
// Additional Buy/Sell Conditions based on RSI, MACD, and Bollinger Bands
additionalBuySignal = rsi < rsiOversold and macdHist > 0 and close < bbLower
additionalSellSignal = rsi > rsiOverbought and macdHist < 0 and close > bbUpper
// Plot Additional Buy/Sell Signals
plotshape(series=additionalBuySignal and not buySignal, location=location.belowbar, color=colorTextBuy, style=shape.triangleup, size=size.small, title="Additional Buy Signal")
plotshape(series=additionalSellSignal and not sellSignal, location=location.abovebar, color=colorTextSell, style=shape.triangledown, size=size.small, title="Additional Sell Signal")
// Background Color based on Additional Buy/Sell Signal
bgcolor(additionalBuySignal and not buySignal ? colorBackgroundBuy : na, title="Additional Buy Signal Background")
bgcolor(additionalSellSignal and not sellSignal ? colorBackgroundSell : na, title="Additional Sell Signal Background")