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Following is an example of setting up an Excel spreadsheet for creating a forecast oscillator using a five-day linear regression for tomorrow's close. |
Figure 1, Column A, lists the dates and Column D lists the closing prices (the Y variables) used for the forecasted close. Cells El through E5 are the constants used for the X variables. |
Figure 1: Sample Excel spreadsheet for creating a forecast. |
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An Excel spreadsheet has built-in formulas to calculate the estimated coefficients m and c of a linear regression and the r-squared value. For example, the formula in cell E8 is: =INDEX(LINEST(D4:D8,$E$1:$E$5),2) This formula is calculating coefficient c, which is our constant based on the last five days' data. Cell F8 returns the value of the slope m: =INDEX(LINEST(D4:D8,$E$1:$E$5),1) The formula for cell G8 returns the r-squared: =INDEX(LINEST(D4:D8,$E$1:$E$5,TRUE,TRUE),3) The key is the last value showed in the formula before the final parenthesis, as this instructs the spreadsheet to either return c, m, or r-squared. Once you have the first set of coefficients, you can forecast tomorrow's close. This is performed in cell H9: =E8 +F8*6 Finally, the formula for the forecast oscillator is listed in I9: =(D9-H9)/D9*100 --Editor |
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