How do I use ATR for stop loss?

Multiply ATR by a factor (typically 1.5-3) and subtract from entry for longs, add for shorts. This adapts your stop to current volatility.

Key Takeaways

Difficulty:Beginner

Reliability:Very High

Category:volatility

Timeframes:1H, 4H, Daily

Average True Range (ATR)

volatility📊 1H, 4H, Daily

Measures market volatility by calculating the average range between high and low prices.

Formula

Code

True Range = Max[(High - Low), |High - Close(prev)|, |Low - Close(prev)|]

ATR = Moving Average of True Range

Detailed Explanation

Average True Range (ATR) was developed by J. Welles Wilder to measure volatility. Unlike indicators that show direction, ATR purely measures the degree of price movement.

True Range considers:
- Current High minus Current Low
- Current High minus Previous Close
- Current Low minus Previous Close

Applications:
- Position Sizing: Adjust size based on volatility
- Stop Loss: Place stops at 1.5-3× ATR
- Breakout Confirmation: High ATR confirms breakouts

Trading Setup Example

Entry, stop loss, and take profit levels.

📈 Buy Setup

📉 Sell Setup

Always wait for signal confirmation before entering a trade.

Where This Indicator Works Best

Trend context and market position.

📈 Bullish Context

📉 Bearish Context

Measures market volatility and identifies breakout opportunities.

Live Chart — Average True Range (ATR)

See Average True Range (ATR) in action on a live chart. Try changing the settings and timeframe.

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Parameters

Period

Default: 14

ATR calculation period

📈 Bullish Signals

Rising ATR confirms trend strength during uptrend

📉 Bearish Signals

Rising ATR confirms trend strength during downtrend

Python Implementation

ATR calculation with stop loss example

Python

import pandas_ta as ta

df['ATR'] = ta.atr(df['high'], df['low'], df['close'], length=14)

# ATR-based stop loss

entry_price = df['close'].iloc[-1]

atr_value = df['ATR'].iloc[-1]

stop_loss = entry_price - (2 * atr_value)

TradingView Pine Script

Try on TradingView

JavaScript

//@version=5

indicator("ATR")

atr = ta.atr(14)

plot(atr, "ATR", color=color.orange)

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MT5 MQL5 Code

C++

int atr_handle = iATR(_Symbol, _Period, 14);

double atr[];

CopyBuffer(atr_handle, 0, 0, 3, atr);

Python Libraries

pandas-ta

Technical analysis

pip install pandas-ta

Common Mistakes

✗Using ATR to predict direction

✗Not adjusting ATR period for timeframe

Confirmation Signals

Trend direction indicators

Volume

Best For

Volatility measurementStop loss placementPosition sizing

💡 Pro Tips

•ATR does not indicate direction, only volatility
•Use ATR multiples for stop losses (e.g., 2× ATR)
•Expanding ATR often precedes major price moves

Last updated: February 8, 2026

Educational Disclaimer

This content is for educational purposes only and does not constitute financial or investment advice. Trading involves significant risk and you may lose your capital. Always consult a licensed financial advisor before making investment decisions.

Learn More

Investopedia - Technical Indicators— Financial Education BabyPips - Technical Indicators— Trading School MetaTrader 5 Docs— Official Documentation

Frequently Asked Questions

Related Indicators

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Keltner Channels

Volatility-based envelopes using EMA and ATR, similar to Bollinger Bands but smoother.

Standard Deviation

Statistical measure of price dispersion from the mean, indicating volatility levels.

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