We have built system’s that monitors the sequential behavior of the “players” at the wall street crap or poker tables and then draws reasonable conclusions from past patterns in a way that would make you “The House” to quite a degree, since in the long run “The House” always wins. In short, you work on the basis of “What are the odds that human behavior will change?”
(PUL) collects daily sentiment numbers to analyze market behavior in a “bottom up” fashion in order to determine the state of market opinion and predict the likely hood of market movements based on contrary opinion. We have found through our research that the consensus numbers provide a way for us the look at sentiment in a historical and behavioral manner of market movement (dating back to 1964), a comprehensive database of string patterns and analysis of trade action has been created and is used to gauge probabilities of future direction. Strings provide the path the same way motion of partials and track the change in opinion. The path to get those BC numbers is measured by a series of up and down motion that we can get the statistical characteristics that we break the BC values into 4 zones and eras react different in each zone.
BC is used to measure the path and statistical characteristics. Measurements are calculated and stored by archives that we can recall you simply can’t take a raw BC number and say the market is either overbought or oversold. The Heisenberg uncertainty principle is used to identify what side of the market is wrong and will need to correct. We track the position of 35 global macro commodity markets and not focus on the price of the underlining instrument ought to go or people have been told to go are probably wrong.
Our edge lies when we have a large enough historical sample to place a bet. We illustrate this by the random walk principle and super impose to see what happens over multiple years and players are going to continue to make the same mistakes. Measurements are calculated and stored by archives that we can recall.