weight_ave_3ROC_strict: Provides a ranking of weighted-average rate of change (ROC)...
In greatgray/scorecard: GGCM Model Performance Scorecard

Description Usage Arguments Value Examples

Provides a ranking of weighted-average rate of change (ROC) of a given price history time series over three periods, using only ROC values that are positive for each period. If any of the three ROC values is zero or negative for a day, then return NA for the rank for that date.

1	weight_ave_3ROC_strict(x, n = c(1, 3, 6), weights = c(1/3, 1/3, 1/3))

`x`	price history as XTS
`n`	an array of ROC lookback periods, in same perodicity as `x`; must include exactly three elements; default 1, 3, 6.
`weights`	an array of weights for each ROC, must be length 3 and sum to 1. default is 1/3 for each entry.

ranking as determined by row_rank

## Not run: 
library(quantmod)
getSymbols("XLK",auto.assign=TRUE)
wa <- weight_ave_3ROC_strict(XLK,n=c(2,4,6),weights=c(.5,.3,.2))
tail(wa)

## End(Not run)