I have this model that I would like to recreate, if possible, in AB. It would
be a variant on positionscore.
Imagine several different measures (e.g., ROC, RSI, whatever) for a groups of
stocks. Each day I calculate the different measures for each stock.
I then want to combine the factors. I do it this way:
1. For each date, I isolate the stocks for which I have measures for that date
alone.
2. Iterating through each factor, I rank-order them and then percentile so that
each measure is scaled comparably to the others
3. I then combine (sum,average,weighted average, whatever) the different
measures into a composite score
4. I percentile the composite scores so that each stock for that date has a
score from 1 to 100. If there are fewer than 100 stocks, they will be spaced
appropriately such that the highest has a score of 100 and the lowest 1.
