CCI (Commodity Channel Index)

  • Awesome Image
    Education, Technical Indicators
  • Awesome Image
Awesome Image
Hakan Kwai
Instructor

The Commodity Channel Index (CCI) is a technical analysis indicator developed by Donald Lambert. It is used to measure how far a current price of an asset deviates from its average price. While it is commonly used in commodity markets, it is also widely used in analyzing stocks, currencies, and other financial assets.

 

The CCI is used to identify overbought and oversold levels and to detect trend reversals. The indicator fluctuates above and below a zero line. Positive CCI values indicate that prices are above the average price, while negative CCI values indicate that prices are below the average price.

 

The CCI typically uses +100 and -100 levels to determine overbought and oversold conditions. A CCI value above +100 suggests that the asset is in an overbought zone and that prices may experience a correction or trend reversal. Conversely, a CCI value below -100 suggests that the asset is in an oversold zone and that prices may experience a bounce or trend reversal.

 

The CCI is also used to identify trend reversals. It is an oscillator that measures the strength and duration of a trend. CCI values can indicate points where a trend is strengthening or weakening. For example, in an uptrend, CCI values tend to stay in the positive zone, while in a downtrend, CCI values tend to stay in the negative zone.

 

The calculation of CCI involves the following formula:

 

CCI = (Typical Price – SMA) / (0.015 * Mean Deviation)

 

The Typical Price is the average of the high, low, and closing prices of the asset.

 

The SMA (Simple Moving Average) is the average of prices over a specific period.

 

The Mean Deviation is the average of the absolute deviations of prices from the mean.

 

The CCI is typically calculated using a 14-period, but users can adjust the period to their preferences.

 

Using the CCI in conjunction with other technical analysis tools and indicators can enhance its effectiveness. It is also recommended to use it alongside other analysis methods to filter out false signals and improve accuracy.

Awesome Image