
Strategi ini adalah kaedah perdagangan kuantitatif yang komprehensif untuk mengenal pasti trend pasaran dan isyarat perdagangan dengan mengintegrasikan beberapa petunjuk teknikal (MACD, Supertrend dan Parabolic SAR). Strategi ini bertujuan untuk menyediakan kerangka keputusan perdagangan yang fleksibel dan ketat yang dapat disesuaikan dengan keadaan pasaran yang berbeza.
Prinsip strategi ini berdasarkan kepada gabungan dinamik tiga petunjuk teknikal utama:
Strategi membuat keputusan perdagangan dengan logik berikut:
Vishal Adaptive Multi Indicator Trading Strategy adalah kaedah perdagangan kuantitatif yang inovatif yang menyediakan kerangka keputusan perdagangan yang komprehensif dan fleksibel melalui sinergi MACD, Supertrend, dan Parabolic SAR. Walaupun terdapat risiko tertentu, verifikasi dan logik perdagangan simetri multiindicator memberikan model perdagangan yang layak untuk dipelajari oleh pelabur.
/*backtest
start: 2025-01-01 00:00:00
end: 2025-03-27 00:00:00
period: 2d
basePeriod: 2d
exchanges: [{"eid":"Futures_Binance","currency":"ETH_USDT"}]
*/
//@version=6
strategy("Vishal Strategy", overlay=true, margin_long=100, margin_short=100, initial_capital=100000, default_qty_type=strategy.percent_of_equity, default_qty_value=100)
// **MACD Inputs & Calculation**
fast_length = input.int(13, title="MACD Fast Length")
slow_length = input.int(27, title="MACD Slow Length")
signal_length = input.int(9, title="MACD Signal Smoothing")
fast_ma = ta.ema(close, fast_length)
slow_ma = ta.ema(close, slow_length)
macd = fast_ma - slow_ma
signal = ta.ema(macd, signal_length)
hist = macd - signal
// **Supertrend Inputs & Calculation**
atrPeriod = input.int(11, "ATR Length", minval = 1)
factor = input.float(3.0, "Factor", minval = 0.01, step = 0.01)
[supertrend, direction] = ta.supertrend(factor, atrPeriod)
bullTrend = direction < 0 // Uptrend Condition
bearTrend = direction > 0 // Downtrend Condition
// **Parabolic SAR Inputs & Calculation**
sarStep = input.float(0.02, "Parabolic SAR Step")
sarMax = input.float(0.2, "Parabolic SAR Max")
sar = ta.sar(sarStep, sarStep, sarMax)
// **Trade Entry Conditions**
macdBullish = macd > signal // MACD in Bullish Mode
macdBearish = macd < signal // MACD in Bearish Mode
priceAboveSAR = close > sar // Price above SAR (Bullish)
priceBelowSAR = close < sar // Price below SAR (Bearish)
// **Boolean Flags to Track Conditions Being Met**
var bool macdConditionMet = false
var bool sarConditionMet = false
var bool trendConditionMet = false
// **Track if Each Condition is Met in Any Order**
if (macdBullish)
macdConditionMet := true
if (macdBearish)
macdConditionMet := false
if (priceAboveSAR)
sarConditionMet := true
if (priceBelowSAR)
sarConditionMet := false
if (bullTrend)
trendConditionMet := true
if (bearTrend)
trendConditionMet := false
// **Final Long Entry Signal (Triggers When All Three Flags Are True)**
longSignal = macdConditionMet and sarConditionMet and trendConditionMet
// **Final Short Entry Signal (Triggers When All Three Flags Are False)**
shortSignal = not macdConditionMet and not sarConditionMet and not trendConditionMet
// **Execute Full Equity Trades**
if (longSignal)
strategy.entry("Long", strategy.long)
if (shortSignal)
strategy.entry("Short", strategy.short)
// **Exit Logic - Requires 2 Consecutive Candle Closes Below/Above SAR**
var int belowSARCount = 0
var int aboveSARCount = 0
if (strategy.position_size > 0) // Long position is active
belowSARCount := close < sar ? belowSARCount + 1 : 0
if (belowSARCount >= 1)
strategy.close("Long")
if (strategy.position_size < 0) // Short position is active
aboveSARCount := close > sar ? aboveSARCount + 1 : 0
if (aboveSARCount >= 1)
strategy.close("Short")
// **Plot Indicators**
plot(supertrend, title="Supertrend", color=bullTrend ? color.green : color.red, linewidth=2, style=plot.style_linebr)
plot(sar, title="Parabolic SAR", color=color.blue, style=plot.style_cross, linewidth=2)
plot(macd, title="MACD Line", color=color.blue, linewidth=2)
plot(signal, title="MACD Signal", color=color.orange, linewidth=2)
plot(hist, title="MACD Histogram", style=plot.style_columns, color=hist >= 0 ? color.green : color.red)