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This study calculates and displays a Chaikin Oscillator for the Price data.

Let the High, Low, and Closing Prices at Index \(t\) be denoted as \(H_t\), \(L_t\), and \(C_t\), respectively, and let the Volume at Index \(t\) be denoted as \(V_t\). Next we define the Accumulation Distribution, whose value at Index \(t\) is denoted as \(AD_t\). We calculate \(AD_t\) for \(t \geq 0\) as follows.

For \(t = 0\):

For \(t > 0\):

The \(10 \cdot 10^{-10}\) in the denominator is to safeguard against division by zero in the event that \(H_t = L_t\).

Let the Inputs Long MovAvg Length, Short MovAvg Length, and Divisor be denoted as \(n_L\), \(n_S\), and \(v\), respectively. Then we denote the Chaikin Oscillator for the given Inputs at Index \(t\) as \(CO_t(n_L,n_S,v)\), and we compute it for \(t \geq \max\{n_L,n_S\} - 1\) in terms of Exponential Moving Averages as follows.

This study also draws horizontal lines whose levels are determined by the Inputs Overbought and Oversold. If either of these Inputs is set to zero, then the corresponding horizontal line will not be drawn.