How BMAMS uses powerful, modern computers to search for millions of new systems.
We get the computer to construct systems like a jigsaw puzzle.
It has a group of pieces that it takes, puts together and judges the results.
Then it gets a new set of pieces, puts them together and judges the results. Over and Over.
To do this requires computing power- fortunately over the past 10-15 years, huge developments have occurred with computing power.
Here is a graph of computing power that Bill Gates posted on Twitter:
The growth is phenomenal, and this graph doesn’t really do it justice- because its scale is logarithmic. Each notation on the left axis is a 100x increase in power.
On a normal scale the increase in computing power would appear like this:
This shows the ridiculous amount of power computers have gained in the past 10-15 years.
This power allows us to create about 1 million different jigsaw systems every hour- or nearly 300 a second!
In a typical development search run, we will look at over 20 million systems- the population of London, New York and Paris combined!
Of course, there is more detailed maths and statistics in it than just what is simply explained here- it is merely the first step in the process, but it gives a demonstration of how computing power can help us discover trading systems.
These systems then get filtered and eventually become part of bMAMS’ trading portfolio.