By: jeff

U must be kidding! This is not "the way" how to do it no where. It's pure luck if u target at least 1 number right out of million try's. U should convert your data set to [0,1] or [-1,1] in time series manor 8u can also use machine learning or xlstat), then do serious analysis on it to discover variance and clusters and for each cluster do separate time series forecast with fine tuning (tuning from cluster to cluster will be much different, u basically seek for average in each row in cluster to achieve high confidence as u wont hit proper number ever time in every cell). Then u evaluate each row in cluster for accuracy in that cluster for each prediction to see if confidence gets up and down against known values for particular time data column. If u do time series forecast even with fine tuning on entire dataset at once u get average 40 to 60% of accuracy and result will jump a lot for each prediction. That isn't near enough to make valid choice and u just might get 1 or at best 2 number right in best case (data pattern and variance). That's why no one cracked Lotto yet ! And for machine learning u need a lot of data. How do u get a lot of data out of little data, well that is another pair of socks. So your proposed solution is nothing but at least function exercise for excel user at very basic level.