
This article introduces a momentum reversal tracking strategy based on the Parabolic Stop and Reverse (SAR) indicator. This strategy utilizes the Parabolic SAR indicator to identify potential trend reversals in the Nifty Futures market for automated trend tracking trading.
The strategy is mainly suitable for traders who prefer a systematic trading approach, providing clear entry and exit signals. By capturing market trends, it helps traders achieve their financial goals.
The strategy uses the Parabolic SAR indicator to determine the price trend direction. In an uptrend, the SAR value is below the price and gradually moves up as new highs occur; In a downtrend, the SAR value is above the price and gradually moves down as new lows occur.
When the SAR value crosses above or below the price, it indicates a potential trend reversal and the strategy will take corresponding short or long positions to capture the new trend direction.
Specifically, after initially calculating the current SAR value and acceleration factor, the strategy keeps tracking new highs/lows and adjusts the SAR value accordingly. On a confirmed bar, if in an uptrend, it takes a short position below the SAR value; if in a downtrend, it takes a long position above the SAR value.
The strategy provides an automated system to capture market trend reversals using the Parabolic SAR indicator. It gives clear entry and exit signals for trading decisions, helping profit from trend tracking. But issues like false signals, stop loss risks also need attention. With continuous optimization, it has the potential to become a reliable trend tracking method.
/*backtest
start: 2024-01-27 00:00:00
end: 2024-02-03 00:00:00
period: 30m
basePeriod: 15m
exchanges: [{"eid":"Futures_Binance","currency":"BTC_USDT"}]
*/
//@version=5
strategy("Positional Parabolic SAR Strategy", overlay=true)
initial = input(0.02)
step = input(0.02)
cap = input(0.2)
var bool isUptrend = na
var float Extremum = na
var float SARValue = na
var float Accelerator = initial
var float futureSAR = na
if bar_index > 0
isNewTrendBar = false
SARValue := futureSAR
if bar_index == 1
float pastSAR = na
float pastExtremum = na
previousLow = low[1]
previousHigh = high[1]
currentClose = close
pastClose = close[1]
if currentClose > pastClose
isUptrend := true
Extremum := high
pastSAR := previousLow
pastExtremum := high
else
isUptrend := false
Extremum := low
pastSAR := previousHigh
pastExtremum := low
isNewTrendBar := true
SARValue := pastSAR + initial * (pastExtremum - pastSAR)
if isUptrend
if SARValue > low
isNewTrendBar := true
isUptrend := false
SARValue := math.max(Extremum, high)
Extremum := low
Accelerator := initial
else
if SARValue < high
isNewTrendBar := true
isUptrend := true
SARValue := math.min(Extremum, low)
Extremum := high
Accelerator := initial
if not isNewTrendBar
if isUptrend
if high > Extremum
Extremum := high
Accelerator := math.min(Accelerator + step, cap)
else
if low < Extremum
Extremum := low
Accelerator := math.min(Accelerator + step, cap)
if isUptrend
SARValue := math.min(SARValue, low[1])
if bar_index > 1
SARValue := math.min(SARValue, low[2])
else
SARValue := math.max(SARValue, high[1])
if bar_index > 1
SARValue := math.max(SARValue, high[2])
futureSAR := SARValue + Accelerator * (Extremum - SARValue)
if barstate.isconfirmed
if isUptrend
strategy.entry("ShortEntry", strategy.short, stop=futureSAR, comment="ShortEntry")
strategy.cancel("LongEntry")
else
strategy.entry("LongEntry", strategy.long, stop=futureSAR, comment="LongEntry")
strategy.cancel("ShortEntry")
plot(SARValue, style=plot.style_cross, linewidth=3, color=color.white)
plot(futureSAR, style=plot.style_cross, linewidth=3, color=color.red)