Your inputs

Price data (oldest first)80 rows

One row per period: High, Low, Close

101.17, 99.3, 100.44
101.1, 98.99, 99.72
101.45, 98.91, 100.95
101.08, 99.78, 100.26
101.03, 99, 99.69
101.96, 99.52, 101.04
101.78, 98.92, 100.09
101.28, 99.22, 100.86
102.09, 99.51, 100.49
101.22, 98.86, 99.46
100.56, 99.21, 99.68
100.38, 98.23, 99.62
99.66, 98.69, 99.57
100.4, 99.14, 99.56
100.12, 97.97, 98.72
99.79, 97.62, 98.67
100.76, 98.1, 100.06
101.13, 98.78, 99.14
99.8, 97.52, 98.17
99.19, 96.87, 98.44
99.81, 97.92, 99.12
101.14, 98.36, 99.95
101.63, 99.32, 100.46
102.2, 100.3, 101.42
102.6, 101.25, 101.85
102.4, 100.57, 101.03
103.6, 101.21, 102.7
104.28, 102.16, 103.44
103.97, 102.47, 103.77
105.9, 102.68, 105.16
106.27, 105.21, 106.21
106.79, 105.43, 105.49
105.97, 103.55, 104.42
104.77, 102.93, 104.1
104.89, 102.58, 102.96
103.21, 101.11, 101.31
101.69, 100.33, 101.46
102.08, 101.49, 101.96
102.2, 100.21, 100.33
101.22, 99.5, 100.53
100.97, 100.21, 100.7
101.46, 97.89, 99.05
99.66, 98.43, 99.59
100.42, 98.39, 100.25
101.81, 99.95, 101.34
101.21, 99.73, 99.84
100.15, 98.49, 99.61
99.89, 98.24, 98.77
98.71, 96.69, 97.77
99, 97.07, 98.58
99.98, 98.08, 98.85
99.07, 97.46, 98.22
99.2, 97.72, 99.01
100.57, 98.37, 99.84
101.88, 99.14, 101.49
102.55, 101.15, 101.73
103.06, 100.97, 101.43
103.77, 100.94, 102.61
104.3, 102.44, 103.46
104.35, 102.71, 103.44
103.69, 102.8, 103
104.05, 102.67, 103.02
104.94, 101.98, 104.21
105.38, 104.05, 104.91
105.72, 103.86, 105.19
106.18, 104.64, 105.84
106.33, 105.39, 106.21
106.1, 104.83, 105.3
107.11, 104.83, 106.7
107.12, 105.45, 106.46
108.87, 106.34, 108.12
108.92, 107.38, 107.57
109.48, 107.28, 108.58
109.25, 107.41, 107.98
108.16, 106.29, 106.89
108.87, 106.69, 108.58
108.87, 106.64, 107.55
109.38, 107.12, 108.82
110.21, 108.07, 109.74
111.04, 109.31, 109.88

Paste rows from a spreadsheet or CSV.

Period

Results

CCI(20)136.4above +100 — strong/overbought

CCI = (Typical price − SMA) ÷ (0.015 × mean deviation). The 0.015 constant is chosen so roughly 70–80% of values fall between −100 and +100; moves outside that band mark unusually strong deviations.

Price

CCI(20)

Last 10 bars

Bar	Close	CCI
#80	109.88	136.4
#79	109.74	123.6
#78	108.82	100.1
#77	107.55	78.9
#76	108.58	100
#75	106.89	74.5
#74	107.98	120.2
#73	108.58	137.2
#72	107.57	135.1
#71	108.12	143.2

Not financial advice. Results are estimates based on the values you enter and simplified assumptions; real trades are affected by fees, slippage, gaps and other factors. Trading involves substantial risk of loss. Read the full disclaimer.

How to calculate the Commodity Channel Index

Typical price TP = (High + Low + Close) ÷ 3 CCI = (TP − SMA(TP, n)) ÷ (0.015 × Mean deviation) Mean deviation = Σ|TP − SMA(TP)| ÷ n

Paste prices oldest-first, one value or row per bar — straight from a spreadsheet or CSV export. Use “Sample data” to try it instantly.

Worked example

TP = 105, its 20-bar average = 100, mean deviation = 2.5.
CCI = (105 − 100) ÷ (0.015 × 2.5) = 133 — above +100.

How to interpret the Commodity Channel Index

Roughly 70–80% of CCI values fall between −100 and +100 thanks to the 0.015 constant. Moves above +100 mark unusual strength (a possible new uptrend, or an overextended market); below −100 unusual weakness.

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RSI Calculator

Calculate the Relative Strength Index with Wilder or simple averaging and see overbought/oversold readings.

Avg gain 0.714 / avg loss 0.357 → RSI 66.67

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Bollinger Bands Calculator

Calculate upper, middle and lower bands, %B and bandwidth to spot squeezes.

BB(20, 2) → bands, %B, bandwidth

CCI calculator FAQ

Is CCI only for commodities?

No — despite the name it works on any market with high, low and close data.

Why 0.015?

Donald Lambert chose it so that most readings fall within ±100.

How to calculate the Commodity Channel Index

Worked example

How to interpret the Commodity Channel Index

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