Commodity Channel Index (CCI)

An oscillator that measures how far price has moved from its recent average, scaled by recent volatility.

What it is

The Commodity Channel Index (CCI) is a momentum oscillator developed by Donald Lambert and introduced in 1980. Despite the name, it is not limited to commodities — traders apply it to stocks, forex, indices, and crypto. CCI compares the current "typical price" to a moving average of that typical price over a chosen period, then scales the result by the average deviation of price over the same period. It oscillates around a zero line and is technically unbounded (no fixed maximum or minimum), though the formula is designed so that most readings fall roughly between -100 and +100. It is an educational tool for studying momentum; like all indicators, it is calculated from past prices and is not predictive of future prices, and all trading carries risk of loss.

How it works

CCI starts from the "typical price" of each bar, which is the average of the high, low, and close ((H+L+C)/3). It then compares that typical price to a simple moving average of the typical price over the lookback period (commonly 20). The difference is divided by the mean absolute deviation of the typical price from that moving average, and the result is multiplied by a constant (0.015) that Lambert chose so that roughly 70-80% of readings land within a -100 to +100 range. In plain terms: a high positive CCI means price is unusually far above its recent average, and a deeply negative CCI means price is unusually far below it. Because the scale adapts to recent volatility, the same numeric reading can describe different conditions in calm versus choppy markets.

How traders read it

• Traders often read values above +100 as price stretching well above its recent average, and below -100 as price stretching well below it — commonly described as 'overbought' and 'oversold.' These are interpretive labels, not signals to act on, and price can stay extended for a long time.
• The zero line is used as a momentum reference: readings above zero are often read as upward momentum relative to the average, and below zero as downward momentum.
• Some traders watch price crossing back inside the +100/-100 bands as a sign the recent extension may be cooling, while others watch crosses out of the bands when studying emerging momentum in trending markets.
• Divergence between CCI and price — for example, price making a new high while CCI does not — is often studied as possible weakening momentum, though divergence can persist and resolve in either direction.
• Because CCI is effectively unbounded, traders sometimes adjust thresholds (e.g. ±150 or ±200) to suit a market's volatility rather than relying on the default ±100.

Common settings

A 20-period CCI is the most widely used default, with ±100 as the reference bands. Shorter settings such as 14 give faster but noisier readings; longer settings such as 50 produce smoother output. Some traders widen the bands to ±150 or ±200 on more volatile instruments. It is sensible to study settings on the specific market and timeframe rather than assuming any default is optimal.

Strengths

• Adapts its scale to recent volatility, so it can be applied across many markets and timeframes without changing the formula.
• Combines a momentum reading and a relative-to-average reading in a single, easy-to-read oscillator.
• Built into virtually every charting platform, including TradingView's ta.cci(), so it is simple to add and study.
• Flexible thresholds let traders tune sensitivity to a specific instrument's behavior.

Pitfalls to watch

• CCI is calculated entirely from past price and is therefore a lagging measure. It describes what has already happened and does not predict future moves; no indicator is predictive and all trading carries risk of loss.
• In strong trends, CCI can remain above +100 or below -100 for extended periods. Treating every extreme reading as a turning point can be misleading.
• The unbounded scale means 'overbought/oversold' thresholds are arbitrary and vary by market and timeframe — a level that seems meaningful on one instrument may produce constant extreme readings on another.
• Shorter lookback periods make CCI more responsive but noisier (more whipsaws); longer periods are smoother but slower to react. There is no universally 'correct' setting.
• Divergence and band-crossing readings are interpretive observations, not mechanical signals, and can fail or persist far longer than expected.

Pine v6 example

//@version=6
indicator("CCI Example", overlay = false)

length = input.int(20, "Length", minval = 1)
src    = hlc3  // typical price (high + low + close) / 3
cci    = ta.cci(src, length)

plot(cci, "CCI", color = color.blue)
hline(100,  "Upper", color = color.gray, linestyle = hline.style_dashed)
hline(0,    "Zero",  color = color.gray)
hline(-100, "Lower", color = color.gray, linestyle = hline.style_dashed)

Pro tip: Treat the ±100 bands as a starting point, not a rule. Pull up your specific market and timeframe and observe how often CCI actually reaches those levels — a quiet instrument may rarely touch ±100, while a volatile one may exceed it constantly. Calibrating the bands to what the chart actually does can make the readings more informative than relying on the default. Remember this is for studying momentum, not for generating buy or sell decisions.

Educational only — not financial advice, not a recommendation to trade. No indicator is predictive; trading involves substantial risk of loss.