$ Pine Script Parabolic SAR (Stop and Reverse)

What is Parabolic SAR?

Components and Calculation

• ▸ Start (Initial) Acceleration Factor (AF): Typically 0.02.
• ▸ Increment: The amount by which the AF increases with each new high/low (e.g., 0.02).
• ▸ Maximum Acceleration Factor (Max AF): The upper limit for the AF (e.g., 0.20).
• ▸ Extreme Point (EP): The highest high during an uptrend or the lowest low during a downtrend.

Basic Parabolic SAR Implementation in Pine Script

//@version=5
indicator("My Parabolic SAR Indicator", overlay=true)

// Inputs for Parabolic SAR parameters
start = input.float(0.02, title="Start AF")
increment = input.float(0.02, title="Increment")
maximum = input.float(0.20, title="Maximum AF")

// Calculate Parabolic SAR using the built-in function
sarValue = ta.sar(start, increment, maximum)

// Plot the Parabolic SAR dots
plot(sarValue, "SAR", style=plot.style_circles, linewidth=2, color=sarValue < close ? color.green : color.red)

Key Interpretation

Practical Parabolic SAR Strategies

//@version=5
strategy("Parabolic SAR Trend Strategy", overlay=true)

start = input.float(0.02, title="Start AF")
increment = input.float(0.02, title="Increment")
maximum = input.float(0.20, title="Maximum AF")

sarValue = ta.sar(start, increment, maximum)

longCondition = ta.crossover(close, sarValue)
shortCondition = ta.crossunder(close, sarValue)

if (longCondition)
    strategy.entry("Long", strategy.long)
    
if (shortCondition)
    strategy.entry("Short", strategy.short)

plot(sarValue, "SAR", style=plot.style_circles, linewidth=2, color=sarValue < close ? color.green : color.red)

//@version=5
strategy("Parabolic SAR Dynamic Stop-Loss", overlay=true)

start = input.float(0.02, title="Start AF")
increment = input.float(0.02, title="Increment")
maximum = input.float(0.20, title="Maximum AF")

sarValue = ta.sar(start, increment, maximum)

fastMA = ta.ema(close, 20)
slowMA = ta.ema(close, 50)
longEntry = ta.crossover(fastMA, slowMA)
shortEntry = ta.crossunder(fastMA, slowMA)

if (longEntry)
    strategy.entry("Buy", strategy.long)
    strategy.exit("Long Exit", from_entry="Buy", stop=sarValue)

if (shortEntry)
    strategy.entry("Sell", strategy.short)
    strategy.exit("Short Exit", from_entry="Sell", stop=sarValue)

plot(sarValue, "SAR", style=plot.style_circles, linewidth=2, color=sarValue < close ? color.green : color.red)

Optimizing Parabolic SAR Performance

• ▸ Parameter Tuning: Adjust `start`, `increment`, and `maximum` AF values. A smaller increment results in a smoother SAR that's further from price, while a larger increment makes it more sensitive and closer to price.
• ▸ Combine with Other Indicators: Parabolic SAR is best used as a trend-confirming or stop-loss tool. Combine it with trend strength indicators (like ADX) or oscillators (like RSI) to filter false signals.
• ▸ Multi-Timeframe Analysis: Confirm SAR signals on a higher timeframe before acting on signals from a lower timeframe.
• ▸ Filter Ranging Markets: Avoid using Parabolic SAR alone in choppy or sideways markets, as it can generate frequent false signals (whipsaws).

Caution

Common Parabolic SAR Pitfalls

• ▸ Whipsaws: In non-trending or highly volatile, non-directional markets, SAR can produce many premature stop-and-reverse signals.
• ▸ Lagging: While it accelerates towards price, it is still a lagging indicator. Signals may sometimes come after a significant portion of the move has already occurred.
• ▸ Not a standalone entry signal: It's more effective as a trailing stop or exit signal rather than a primary entry signal, especially without confluence from other indicators.

Conclusion