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Back to Indicators
VolatilityLagging

Price Envelopes

Overview

Price Envelopes plot fixed percentage bands above and below a Simple Moving Average, creating a straightforward volatility channel for identifying overextended price moves and potential reversal zones. They are among the simplest band indicators available and work well in ranging forex and stock markets. Compare Price Envelopes with Bollinger Bands in our indicator guide library to decide which suits your style.

How It Works

Upper Envelope = SMA(N) × (1 + percentage). Lower Envelope = SMA(N) × (1 − percentage). Common settings use a 20-period SMA with a 2.5% envelope width. The bands remain a fixed distance from the MA, unlike Bollinger Bands which adapt to volatility.

Key Signals

  • Price touching or exceeding the upper envelope = potentially overbought.
  • Price touching or exceeding the lower envelope = potentially oversold.
  • Price returning to the SMA from an envelope extreme = mean-reversion entry.

Common Mistakes

  • Using the same percentage across all assets — volatile assets need wider envelopes.
  • Trading envelope touches in strong trends as reversal signals — they are continuation in trends.
  • Not adjusting envelope width as the asset's volatility regime changes.

More Volatility Indicators

Donchian Channels

Donchian Channels plot the highest high and lowest low over a specified period, forming a simple but effective volatility envelope and breakout system that powered the legendary Turtle Trading strategy. They are widely used in <a href="/market/forex" class="text-primary hover:underline">forex</a> and <a href="/market/crypto" class="text-primary hover:underline">crypto</a> for trend-following breakout <a href="/strategies" class="text-primary hover:underline">strategies</a>. Compare Donchian Channels with <a href="/academy/indicators/bollinger-bands" class="text-primary hover:underline">Bollinger Bands</a> and <a href="/academy/indicators/keltner-channels" class="text-primary hover:underline">Keltner Channels</a> in our <a href="/academy/indicators" class="text-primary hover:underline">indicator guide library</a>.

Bollinger Bands — Volatility Envelopes

Bollinger Bands plot a moving average with upper and lower bands set at 2 standard deviations, expanding during high volatility and contracting during low volatility to create actionable squeeze and breakout signals. The Bollinger Squeeze is especially powerful when combined with <a href="/academy/indicators/keltner-channels" class="text-primary hover:underline">Keltner Channels</a> in the TTM Squeeze setup, a favourite of professional traders. Pair Bollinger Bands with the <a href="/academy/indicators/rsi" class="text-primary hover:underline">RSI</a> to filter false signals and confirm <a href="/guides/trade-breakouts" class="text-primary hover:underline">breakout entries</a>. Set them up on <a href="/tools/platforms/tradingview" class="text-primary hover:underline">TradingView</a> for real-time alerts and multi-timeframe analysis.

ATR — Average True Range

ATR measures market volatility by calculating the average range of price bars over a specified period — it is essential for position sizing, stop-loss placement, and identifying volatility shifts. Use our <a href="/tools/calculators/position-size-calculator" class="text-primary hover:underline">position size calculator</a> to convert ATR readings into proper trade sizing instantly. Read the <a href="/guides/use-stop-loss-orders" class="text-primary hover:underline">stop-loss guide</a> and the <a href="/guides/calculate-position-size" class="text-primary hover:underline">position sizing guide</a> to master ATR-based risk management across every market. ATR adapts to any asset — apply it in <a href="/market/crypto" class="text-primary hover:underline">crypto</a>, <a href="/market/stocks" class="text-primary hover:underline">stocks</a>, and <a href="/market/forex" class="text-primary hover:underline">forex</a> for volatility-adjusted trading.

Standard Deviation

Standard Deviation measures the dispersion of closing prices from their mean over a given period, providing the mathematical foundation for <a href="/academy/indicators/bollinger-bands" class="text-primary hover:underline">Bollinger Bands</a> and many other volatility tools. Rising standard deviation signals increasing volatility across <a href="/market/stocks" class="text-primary hover:underline">stocks</a>, <a href="/market/crypto" class="text-primary hover:underline">crypto</a>, and <a href="/market/forex" class="text-primary hover:underline">forex</a>. Review our <a href="/academy/indicators" class="text-primary hover:underline">indicator guide library</a> to see how standard deviation powers multiple volatility-based trading tools.

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