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)