Predictive modelling is NOT a new science

Predictive modelling is, shall we say, an unusual science. Most predictive modelling I have witnessed is based on the power of computing, using A.I. or “Deep Learning”, whatever that means.

The thing is, as W. D. Gann pointed out over 100 years ago, everything occurring in markets has historical reference points. Essentially, everything has happened before and will eventually repeat itself. He studied ancient geometry and astrology to investigate how market events and specific numbers repeated across various time cycles.

Sounds like a whole bunch of hocus pocus doesn’t it? Except it is not. I would go as far to say that millions of people have tried to follow in the footsteps of the most mysterious trader of all time. However, the curious thing about Gann, was that he left breadcrumbs for only the most avid and dedicated researchers to find.

This is why the knowledge that he talked about and shared with a few close private clients has been lost to most that have ever tried to find it. Simply because it takes years of research and more than a sprinkling of perseverance.

The thing that fascinates me the most about the field of market cycles and looking for them to repeat is that so few of those out hunting for this knowledge ever come to a conclusion, and find a way to trade them successfully.

I’ve spent a small fortune and nearly a decade of my life trying to find repeating cycles. And that doesn’t include the years of trading and investing experience I put into the more reactive style with indicators and techniques that almost everyone else does in the markets. 

What I will say is, I certainly don’t have all the answers, but what I know is that I do have a cycle that works. A cycle that repeats over time. How do I know?

I know because the results are there for all to see and experience at ComhlaTech.