After running many passes with varying short term durations one thing is clear. The most popular classification is Neutral, Neutral, Neutral. Regardless of whether I classify over 7 draws or 700, NNN is the most common, not even close with any other set.

Why this is problematic... with one standard deviation above and below classified as hot or cold, the numbers that are closer to expectancy far outnumber those that hit H or C.

Adding the limited set of follower data, I hope to make it possible to have a better idea of which 3 neutral numbers would appear together within 7 draws. When the classification set is limited to 7 draws, there have been as many as 4 out of 7 showing up as NNN. The basic premise being that picking 3 neutral numbers would yield a better shot at a hit than incorporating the hots or colds... the playable set is reduced by eliminating the "outliers". Add to that picking from these many neutral numbers by cross referencing the frequency of followers might yet yield a winning combo.

It remains to find the sweet spot for draw numbers, for the X sample base that the hot and cold are derived from AND the shortest period of follower draws to get reliable data.

The current set uses 1,000 draws for follower data and 150 draws for hot-cold calcuation.

The play system to accompany would be to pick one NNN combo and play 50/50 for 7 days.

Not quite ready for a live test, but getting ever closer.