
Anda tahu? Strategi ini adalah seperti meletakkan “detektor emosi” di pasaran! Oh, ia merasakan “keseronokan dan kegembiraan” pasaran melalui pendayung yang dilapisi dengan dua kutub, dan akan menghantar isyarat perdagangan apabila pasaran terlalu bersemangat (super beli) atau terlalu kecewa (super jual).
Bayangkan strategi ini seperti “pengukur suhu pasaran” yang sangat sensitif. Pertama, ia mengira sejauh mana harga menyimpang dari garis rata-rata 25 kitaran, dan kemudian memprosesnya secara standard (seperti menukar orang yang mempunyai ketinggian yang berbeza menjadi perkadaran ketinggian standard).
Panduan untuk mengelakkan lubang! Yang paling hebat dalam strategi ini adalah mekanisme “penjagaan isyarat terbalik” - sama seperti melihat lampu merah ketika memandu dan segera berhenti! Oh, apabila isyarat terbalik muncul, strategi akan segera ditutup dan tidak akan mati.
Fokus! Walaupun strategi ini sangat baik, ia tidak sempurna. Dalam pasaran yang kuat, penggelincir mungkin “sesat”, seperti navigasi bandar di lebuh raya. Tetapan had tetap mungkin tidak sesuai dalam keadaan pasaran yang berbeza, dan anda perlu menyesuaikan diri dengan keadaan sebenar.
/*backtest
start: 2025-01-01 00:00:00
end: 2025-10-15 08:00:00
period: 1h
basePeriod: 1h
exchanges: [{"eid":"Futures_Binance","currency":"BTC_USDT","balance":500000}]
*/
//@version=6
strategy("Two-Pole Threshold Entries + Opposite-Signal & Stop Exits + Stats",
overlay=true,
max_labels_count=500)
// === Inputs ===
length = input.int(20, minval=1, title="Filter Length")
buyTrig = input.float(-0.8, title="Buy Threshold (osc ↑)")
sellTrig = input.float( 0.8, title="Sell Threshold (osc ↓)")
stopLossPts = input.int(10, minval=1, title="Stop Loss (pts)")
// === Two-Pole Oscillator ===
sma25 = ta.sma(close, 25)
dev = (close - sma25) - ta.sma(close - sma25, 25)
norm = dev / ta.stdev(close - sma25, 25)
alpha = 2.0 / (length + 1)
var float s1 = na
var float s2 = na
s1 := na(s1) ? norm : (1 - alpha) * s1 + alpha * norm
s2 := na(s2) ? s1 : (1 - alpha) * s2 + alpha * s1
osc = s2
prevOsc = osc[4]
// === Trigger Cross Signals ===
isLongSig = ta.crossover(osc, buyTrig) and barstate.isconfirmed
isShortSig = ta.crossunder(osc, sellTrig) and barstate.isconfirmed
// === State & Stats Vars ===
var int tradeDir = 0 // 1=long, -1=short, 0=flat
var float entryPrice = na
var int entryBar = na
var int buyTotal = 0
var int buyFailed = 0
var float sumMoveB = 0.0
var int cntMoveB = 0
var float sumPLptsB = 0.0
var int sellTotal = 0
var int sellFailed = 0
var float sumMoveS = 0.0
var int cntMoveS = 0
var float sumPLptsS = 0.0
// === Exit Marker Flags ===
var bool longStopHit = false
var bool shortStopHit = false
var bool longSigExit = false
var bool shortSigExit = false
longStopHit := false
shortStopHit := false
longSigExit := false
shortSigExit := false
// === 1) Opposite-Signal Exit ===
if tradeDir == 1 and isShortSig
float ptsL = close - entryPrice
sumMoveB += ptsL
sumPLptsB += ptsL
cntMoveB += 1
strategy.close("Long")
longSigExit := true
tradeDir := 0
if tradeDir == -1 and isLongSig
float ptsS = entryPrice - close
sumMoveS += ptsS
sumPLptsS += ptsS
cntMoveS += 1
strategy.close("Short")
shortSigExit := true
tradeDir := 0
// === 2) 5-Bar, Bar-Close 10-pt Stop Exit ===
inWindow = (tradeDir != 0) and (bar_index <= entryBar + 5)
longStopPrice = entryPrice - stopLossPts
shortStopPrice = entryPrice + stopLossPts
if tradeDir == 1 and inWindow and close <= longStopPrice
buyFailed += 1
sumPLptsB -= stopLossPts
strategy.close("Long")
longStopHit := true
tradeDir := 0
if tradeDir == -1 and inWindow and close >= shortStopPrice
sellFailed += 1
sumPLptsS -= stopLossPts
strategy.close("Short")
shortStopHit := true
tradeDir := 0
// === 3) New Entries (only when flat) ===
if tradeDir == 0 and isLongSig
buyTotal += 1
entryPrice := close
entryBar := bar_index
strategy.entry("Long", strategy.long)
tradeDir := 1
if tradeDir == 0 and isShortSig
sellTotal += 1
entryPrice := close
entryBar := bar_index
strategy.entry("Short", strategy.short)
tradeDir := -1
// === Stats Computation ===
float avgMoveB = cntMoveB > 0 ? sumMoveB / cntMoveB : na
float successPctB = buyTotal > 0 ? (buyTotal - buyFailed) / buyTotal * 100 : na
float pnlUSD_B = sumPLptsB * 50.0
float avgMoveS = cntMoveS > 0 ? sumMoveS / cntMoveS : na
float successPctS = sellTotal > 0 ? (sellTotal - sellFailed) / sellTotal * 100 : na
float pnlUSD_S = sumPLptsS * 50.0
string tf = timeframe.period
// === On-Chart Markers ===
plotshape(isLongSig, title="Long Entry", style=shape.triangleup, location=location.belowbar, color=color.green, size=size.tiny)
plotshape(isShortSig, title="Short Entry", style=shape.triangledown, location=location.abovebar, color=color.red, size=size.tiny)
plotshape(longSigExit, title="Exit on Sell Sig", style=shape.xcross, location=location.abovebar, color=color.orange, size=size.tiny)
plotshape(shortSigExit, title="Exit on Buy Sig", style=shape.xcross, location=location.belowbar, color=color.orange, size=size.tiny)
plotshape(longStopHit, title="Stop Exit Long", style=shape.xcross, location=location.abovebar, color=color.purple, size=size.tiny)
plotshape(shortStopHit, title="Stop Exit Short", style=shape.xcross, location=location.belowbar, color=color.purple, size=size.tiny)