I wonder how much of the overlays are hindsight. They change as one moves forward in time, not just relatively, but it also adds cycle types and peaks as you go. Plus, those are going back into the 90s so yeah. All this Armstrong stuff is just a waste of time. Better to study up and put into practice what you know, or at least subscribe to someone who can actually be coherent.
My understanding is that the arrays are supposed to be the number of "hits" each column has for the given time frame. There is supposedly also some learning involved (debatable what MA considers AI) but by in large if the cycles work as MA suggests then it should be relatively fixed as you can see below. Some points will grow or shrink in importance since the number of "hits" under each column varies over time but overall the market itself should have far more to do with the reversals than it should with the arrays (at least in theory).
Combined - Total hits under each column (this is why MA says to look at this for turning points)
Composite II - Longitudinal timing model, which expand and contract through time. (supposedly where the AI comes in)
Empirical - Transverse timing model, which is comprised of
fixed frequencies.
Long-Term - Long-term transverse timing mode, which has a
fixed frequency that is generally three-times that of the Empirical model.
Trading Cycle - Trading Timing Model offers a union of time and direction that enables the end-user determine when a high or low is likely to occur.
Alpha Cycle - Alpha Cycle model represents the analysis of transverse frequencies, which are generated from highs-to-highs. (would have market reference)
Beta Cycle - Beta Cycle model represents the analysis of transverse frequencies, which are generated from lows-to-lows. (would have market reference)
Directional Change - Directional Change model represents when a market will begin to make a decisive move.
Panic Cycle - Panic Cycle model represents whether an abrupt move is about to occur within the market.
Volatility - Volatility Models provides an indication as to when a change in the current volatility trend will take place.
You guys can see for yourself in the overlays but if there were any conclusions to be drawn on this I would say that the empirical, long-term, directional, panic and volatility seem to have the most correlation to what actually happened in the market. I tried using the arrays to draw where the market would go in the future but honestly I would have done better flipping a coin so that's why I'm not giving up my TA anytime soon.