ATR Volatility Stop Loss Strategy with Full Pine Script Code

ATR Volatility Stop Loss Strategy [algo_aakash] | Full Code Inside

Discover how to implement a dynamic stop loss system using Average True Range (ATR) to adapt to market volatility. This strategy helps traders manage risk effectively while capturing trends.

Understanding ATR-Based Stop Loss

The Average True Range (ATR) measures market volatility by analyzing price ranges over a specified period. A higher ATR indicates greater volatility. This strategy uses ATR to set stop-loss levels at a multiple of the current volatility, allowing stops to widen during turbulent markets and tighten during calm periods. Unlike fixed percentage stops, this approach adapts to real-time conditions.

Strategy Entry & Exit Rules

The system triggers trades when prices cross a 20-period SMA:

• Long Entry: Price closes above SMA
• Short Entry: Price closes below SMA

Stop loss is set at 1.5x ATR from entry price. Take profit uses a 2:1 risk-reward ratio (2x ATR). Positions auto-close when either threshold is hit. This balanced approach locks in gains while allowing room for normal price fluctuations.

Backtesting & Risk Management

The strategy includes commission calculations and position sizing based on equity percentage. By testing across multiple market cycles, traders can validate the ATR multiplier settings. The volatility-adjusted stops reduce premature exits during normal price retracements while protecting capital during sudden reversals.

Conclusion

This ATR-based strategy offers a systematic way to manage risk in trending markets. The dynamic stop-loss mechanism responds to changing volatility, making it superior to static stops. Below is the complete Pine Script implementation for immediate testing and optimization in TradingView.

//@version=5
// Author: algo_aakash
strategy(title="ATR Volatility Stop Loss Strategy [algo_aakash] | Full Code Inside", 
  overlay=true, 
  initial_capital=10000,
  default_qty_type=strategy.percent_of_equity,
  default_qty_value=100,
  commission_type=strategy.commission.percent,
  commission_value=0.1)

// Inputs
atrLength = input(14, "ATR Period")
slMult = input(1.5, "Stop Loss Multiplier")
tpMult = input(2.0, "Take Profit Multiplier")
smaLength = input(20, "SMA Period")

// Calculations
atr = ta.atr(atrLength)
sma = ta.sma(close, smaLength)
longCondition = ta.crossover(close, sma)
shortCondition = ta.crossunder(close, sma)

// Trade Execution
if (longCondition)
    strategy.entry("Long", strategy.long)
    strategy.exit("Exit Long", "Long", 
      stop = close - (atr * slMult), 
      limit = close + (atr * tpMult))

if (shortCondition)
    strategy.entry("Short", strategy.short)
    strategy.exit("Exit Short", "Short", 
      stop = close + (atr * slMult), 
      limit = close - (atr * tpMult))

// Visuals
plot(sma, "SMA", color=color.blue)
plotshape(longCondition, "Long Signal", shape.triangleup, location.belowbar, color.green, size=size.small)
plotshape(shortCondition, "Short Signal", shape.triangledown, location.abovebar, color.red, size=size.small)