
Strategi kuantitatif pengalihan dua sumbu RSI adalah strategi perdagangan lanjutan yang mengesan peluang pembalikan yang berpotensi dengan mengesan pergerakan harga biasa dan pengalihan harga antara indeks yang agak kuat dan lemah (RSI). Strategi ini menggunakan algoritma pengesanan titik pusat automatik yang menggabungkan dua kaedah pengurusan berhenti / henti yang berbeza untuk membina kedudukan secara automatik apabila isyarat pengalihan disahkan.
Strategi RSI Dual Axis Deviation Quantification menyediakan kaedah perdagangan terbalik yang berstruktur melalui pengenalan deviasi yang sistematik dan pengurusan risiko yang ketat. Nilai utamanya adalah mengubah konsep analisis teknikal tradisional ke dalam peraturan perdagangan yang boleh diukur dan menyesuaikan diri dengan keadaan pasaran yang berbeza melalui mekanisme stop loss dua mod.
/*backtest
start: 2024-04-25 00:00:00
end: 2025-04-23 08:00:00
period: 1d
basePeriod: 1d
exchanges: [{"eid":"Futures_Binance","currency":"DOGE_USDT"}]
*/
//@version=6
strategy("RSI Divergence Strategy - AliferCrypto", overlay=true, default_qty_type=strategy.percent_of_equity, default_qty_value=10)
// === RSI Settings ===
rsiLength = input.int(14, minval=1, title="RSI Length", group="RSI Settings", tooltip="Number of periods for RSI calculation")
rsiSource = input.source(close, title="RSI Source", group="RSI Settings", tooltip="Price source used for RSI calculation")
// === Divergence Settings ===
lookLeft = input.int(5, minval=1, title="Pivot Lookback Left", group="Divergence Settings", tooltip="Bars to the left for pivot detection")
lookRight = input.int(5, minval=1, title="Pivot Lookback Right", group="Divergence Settings", tooltip="Bars to the right for pivot detection")
rangeLower = input.int(5, minval=1, title="Min Bars Between Pivots", group="Divergence Settings", tooltip="Minimum bars between pivots to validate divergence")
rangeUpper = input.int(60, minval=1, title="Max Bars Between Pivots", group="Divergence Settings", tooltip="Maximum bars between pivots to validate divergence")
// === SL/TP Method ===
method = input.string("Swing", title="SL/TP Method", options=["Swing", "ATR"], group="SL/TP Settings", tooltip="Choose between swing-based or ATR-based stop and target")
// === Swing Settings ===
swingLook = input.int(20, minval=1, title="Swing Lookback (bars)", group="Swing Settings", tooltip="Bars to look back for swing high/low")
swingMarginPct = input.float(1.0, minval=0.0, title="Swing Margin (%)", group="Swing Settings", tooltip="Margin around swing levels as percentage of price")
rrSwing = input.float(2.0, title="R/R Ratio (Swing)", group="Swing Settings", tooltip="Risk/reward ratio when using swing-based method")
// === ATR Settings ===
atrLen = input.int(14, minval=1, title="ATR Length", group="ATR Settings", tooltip="Number of periods for ATR calculation")
atrMult = input.float(1.5, minval=0.1, title="ATR SL Multiplier", group="ATR Settings", tooltip="Multiplier for ATR-based stop loss calculation")
rrAtr = input.float(2.0, title="R/R Ratio (ATR)", group="ATR Settings", tooltip="Risk/reward ratio when using ATR-based method")
// === RSI Calculation ===
_d = ta.change(rsiSource)
up = ta.rma(math.max(_d, 0), rsiLength)
down = ta.rma(-math.min(_d, 0), rsiLength)
rsi = down == 0 ? 100 : up == 0 ? 0 : 100 - (100 / (1 + up / down))
// === Divergence Detection ===
defPl = not na(ta.pivotlow(rsi, lookLeft, lookRight))
defPh = not na(ta.pivothigh(rsi, lookLeft, lookRight))
rsiAtRR = rsi[lookRight]
barsPl = ta.barssince(defPl)
barsPl1 = barsPl[1]
inRangePL = barsPl1 >= rangeLower and barsPl1 <= rangeUpper
barsPh = ta.barssince(defPh)
barsPh1 = barsPh[1]
inRangePH = barsPh1 >= rangeLower and barsPh1 <= rangeUpper
prevPlRsi = ta.valuewhen(defPl, rsiAtRR, 1)
prevPhRsi = ta.valuewhen(defPh, rsiAtRR, 1)
prevPlPrice = ta.valuewhen(defPl, low[lookRight], 1)
prevPhPrice = ta.valuewhen(defPh, high[lookRight], 1)
bullCond = defPl and low[lookRight] < prevPlPrice and rsiAtRR > prevPlRsi and inRangePL
bearCond = defPh and high[lookRight] > prevPhPrice and rsiAtRR < prevPhRsi and inRangePH
plotshape(bullCond, title="Bullish Divergence", style=shape.triangleup, location=location.belowbar, color=color.green, size=size.tiny)
plotshape(bearCond, title="Bearish Divergence", style=shape.triangledown, location=location.abovebar, color=color.red, size=size.tiny)
// === Entries ===
if bullCond
strategy.entry("Long", strategy.long)
if bearCond
strategy.entry("Short", strategy.short)
// === Pre-calculate SL/TP components ===
swingLow = ta.lowest(low, swingLook)
swingHigh = ta.highest(high, swingLook)
atrValue = ta.atr(atrLen)
// === SL/TP Calculation & Exits ===
var float slPrice = na
var float tpPrice = na
var float rr = na
// Long exits
if strategy.position_size > 0
entryPrice = strategy.position_avg_price
if method == "Swing"
slPrice := swingLow * (1 - swingMarginPct / 100)
rr := rrSwing
else
slPrice := entryPrice - atrValue * atrMult
rr := rrAtr
risk = entryPrice - slPrice
tpPrice := entryPrice + risk * rr
strategy.exit("Exit Long", from_entry="Long", stop=slPrice, limit=tpPrice)
// Short exits
if strategy.position_size < 0
entryPrice = strategy.position_avg_price
if method == "Swing"
slPrice := swingHigh * (1 + swingMarginPct / 100)
rr := rrSwing
else
slPrice := entryPrice + atrValue * atrMult
rr := rrAtr
risk = slPrice - entryPrice
tpPrice := entryPrice - risk * rr
strategy.exit("Exit Short", from_entry="Short", stop=slPrice, limit=tpPrice)
// === Plot SL/TP Levels ===
plot(strategy.position_size != 0 ? slPrice : na, title="Stop Loss", style=plot.style_linebr, color=color.red)
plot(strategy.position_size != 0 ? tpPrice : na, title="Take Profit", style=plot.style_linebr, color=color.green)
// === Alerts ===
alertcondition(bullCond, title="Bull RSI Divergence", message="Bullish RSI divergence detected")
alertcondition(bearCond, title="Bear RSI Divergence", message="Bearish RSI divergence detected")