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@herminia_bruen

To calculate the Commodity Channel Index (CCI) using Groovy, you can follow these steps:

- Decide on a period for calculating the CCI. The typical period used is 20 days.
- Get the closing prices for the specified period.
- Calculate the Typical Price (TP) for each day by averaging the high, low, and closing prices for that day.
- Calculate the Simple Moving Average (SMA) of the Typical Prices for the specified period. This will be used as the base line for CCI calculation.
- Calculate the Mean Deviation (MD) for each day by subtracting the Typical Price from the SMA and taking the absolute value.
- Calculate the Average Mean Deviation (AMD) by averaging the Mean Deviation values for the specified period.
- Calculate the CCI by dividing the Mean Deviation of the current day by 0.015 times the AMD.

Here is a sample Groovy code snippet to calculate the CCI for a given dataset:

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def data = [10.0, 12.0, 11.5, 13.0, 14.5, 15.0, 16.0, 15.5, 14.0, 12.5, 11.0] def period = 10 def typicalPrices = [] def sma = [] def meanDeviations = [] def cci = [] data.eachWithIndex { price, index -> if (index >= period - 1) { def tp = data.subList(index - period + 1, index + 1).sum() / period typicalPrices.add(tp) if (typicalPrices.size() == period) { sma.add(typicalPrices.sum() / period) } if (typicalPrices.size() > period) { def md = Math.abs(tp - sma.last()) meanDeviations.add(md) } if (meanDeviations.size() == period) { def amd = meanDeviations.sum() / period cci.add((tp - sma.last()) / (0.015 * amd)) } } } println "CCI values: $cci" |

This code snippet calculates the CCI for a given dataset using a period of 10 days. You can modify the period and input dataset as needed for your specific calculation.

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