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Trading & Risk

Volatility Indicators

Pomegra Learn

Volatility Indicators

Volatility is the pace at which prices change. It is not direction—it is speed. A market can be volatile while moving up, down, or sideways. Understanding volatility is essential because it governs risk, affects profit targets, determines appropriate position sizes, and signals when breakouts are likely to succeed or when reversals may be imminent.

Many traders focus exclusively on price direction and overlook volatility entirely. This is a costly mistake. Two identical price patterns can play out very differently depending on the volatility regime. A narrow-range consolidation followed by breakout in a low-volatility market often fails, while the same setup in a high-volatility environment may deliver explosive moves. Conversely, a trader sized for normal volatility can be wiped out by a sudden vol spike if caught unprepared.

This chapter introduces the most practical volatility tools: Bollinger Bands, which use standard deviation to show when prices are stretched; the Average True Range (ATR), which quantifies daily price movement; Keltner Channels, which track volatility-adjusted support and resistance; the Donchian Channel, which marks the highest and lowest prices over a lookback period; and the VIX, the market's fear gauge. You will also learn how volatility data should shape position sizing—the art of adjusting your stake based on how much the asset is moving.

Why volatility matters​

Price volatility is not random noise. It reflects changing sentiment, liquidity, and the market's collective uncertainty. Rising volatility often coincides with trend reversals and stronger breakouts. Falling volatility can precede violent moves in either direction. By reading volatility, you read the market's emotional state.

What you will learn​

By the end of this chapter, you will understand what volatility measures, how to read and interpret Bollinger Bands and ATR, why Keltner Channels and Donchian Channels offer complementary views of price extremes, how the VIX reflects stock market fear, and how to use volatility data to size positions appropriately—betting bigger when markets are calm and smaller when they are turbulent.

How to read this chapter​

Each article builds on the last. Start with the definition and measurement of volatility, then progress through Bollinger Bands, ATR, Keltner and Donchian Channels, the VIX, and finally position sizing. You do not need to use all these tools—many traders choose one or two—but you should understand what each one does and why it matters.

The articles below will give you the tools to measure volatility in real time and adjust your trading decisions accordingly.

Articles in this chapter​