We have an analysis and discovery system whose limits are mainly hardware dependant. Run times for single company name analysis are short but batch runs can require considerable processing power and real memory. Some samples of the analysis system output are given under featured investments. The main thrust of the technology strategy is to aid in the discovery of strong numerological and chronological patterns in equity data. Our focus has been on the U.S market where sample sizes are large.
In order to minimise the chances of false turns in the development of the technology, the first stage of analysis, after data cleaning, is on the static structure of the company names. As mentioned under findings this process alone can eliminate up to 75% of companies from further consideration for mass market potential. The second stage is that of annual timeline structure in both the male and female planes. These two planes represent the first main division into the leading and nurturing side of the company matrix.
The timing of birth, growth, discovery, disaster and death of a company, are then analysed from the timelines of the male and female planes. These events all have their characteristic signature in the chart of a particular company. From the analysis of a large number of companies, we have begun to converge on a universal matrix of interpretations for these signatures. Some of these are given under the section findings.
The technology is structured so in the long term a linking matrix between companies in similar sectors can be constructed. This linking matrix should help to explain the trickle up effect where the existence of large numbers of unsuccessful companies, help fertilize the field for the few very successful ones. Why there is plenty of room at the bottom and little room at the top should then become apparent. It may then become possible to explore the dynamics of the food chain that allows the whole system to work with such clockwork precision.
What we think it causes the technology to work
The model Datamatrix New Zealand has developed probably falls into the class of known as econophysics. It relies on emergent orderings in ostensibly random spaces. From Nobel Prize wining work of IIya Priogogine we know this is possible in the physical world even though it appears to violate the first law of thermodynamics. The field of chaos theory also shows that apparently random patterns can have surprising simple underlying mathematical structures. Datamatrix New Zealand appears to have discovered one of these structures in certain classes of stock market data
When it works best
It is implied that these patterns may also impact some types of individuals at certain times. In general the types of companies and individual for whom these effects are strongest seem to be the ones that spend the bulk of their time near the bottom of the market but appear on the world stage at brief but critical times. The effect is strongest at times of crisis and it seems that the nature and duration of the crisis can be predicted. Some of the more printable aspects of how we discovered this pattern see the about us section.
Global Phenomena
The model gives special results for companies that become global phenomena like Microsoft and Silverado. They occupy severely restricted spaces in the class of all possible names for the times they are prominent. It also gives grand synchronisation results for periods such as the start of the Clinton administration and the 2000 internet mania. Similar global synchronisations appear in the model at 12 monthly and 9 yearly intervals. This seems at variance with the Soviet work on natural cycles with an 11 year period but more data and expansion of the model may allow us to derive the 11 year cycles when we know more about what happens in years like 2003.
What else we think will work because this works
If we are right about the quantum vacuum being the mediating source of these emerging patterns then it means both energy extraction and information transmission through this medium is possible. If mankind develops the ability to reliably harness these processes it has far reaching implications. While this holds out the glittering prospect of long range space travel and even time travel, it also holds the prospect of global anarchy. Self powering freely communicating individuals bring responsibilities that history has shown many will use for destructive purposes. Datamatrix New Zealand’s first taste of the power of the zeropoint nearly totally destroyed it.
Where to from Here
In order to expand our technology base we need to grow the number of participants in the project and up skill those already involved. There is a large amount of low level work to do in data gathering and cleaning. There is also work to be done in outreach and easy to read documentation. Legal and financing options need to be explored. There is also the possibility of securing the software for public distribution. The full commercial potential of the software is unknown and a very cautious approach is being taken in exploring this aspect of the project.
