I am finding this thread quite entertaining, yet puzzling, and, also, to a lesser extent, disturbing https://en.wikipedia.org/wiki/True-believer_syndrome
Mr. Brown, being an amateur without a strong math background, generally speaking, can you elaborate and possibly give a concrete example. I am thinking of unordered daily return data over many years that does well with a Monte Carlo run.
market data based on time intervals is infinite in its variability. how can a one discover reoccurring anomalies when applying mathematical indicators. Tommy can't be fitted for pants because he is constantly growing out like expanding foam shot from a can of weather sealant. so now lets think of applying indicators to a well defined assembly of limited data sizes. Tommy the plant supervisor has declared that all widgets will no longer be made to order. widgets will be produced in 10 common sizes only. sales analysis will show what the most popular widget sizes are and production will shift to meet that demand.
Thanks , and that analogy is understandable. But , still , the analogy seems to make good sense with or without "time" as a factor.
As a strong believer and user of volume-based charts I can assure you there is no lack of surprises when time is removed from the picture. Not a Grail.
Taking the view that significant price changes and new trends often start as a result of events whose timing in known in advance then it doesn't make sense not to include time in a trading strategy, whether it be discretionary or automated.
looks like i assumed that it would be understood that Tommy stopped making custom widgets because his widget company was going broke satisfying each individuals desires. Tommy raised prices and customers stopped buying, yet demand was there for a breadth of standard products which met the needs of most his customers he found. Indicators are chasing around trying to satisfy traders who are applying them on every time based bar size imaginable. It must be maddening to the poor indicator when he then gets the blame that T/A does not always work and often fails.
in the realm of trading i can only answer this by saying in my opinion math is a gift from god and time is a destructive device set in place by someone else with bad intentions.
consider this math is a rock steady constant it will always be the same. to make math adaptive is to spoil what is natural and more valuable than the data it's applied to. let's consider making the data adaptive to our desire rather than expect the math to adapt. data with time is like concrete without forms it does what it wishes in the time interval observed. we all know that concrete needs to be poured into forms which define it's dimensions irregardless of what the concrete wants to do on it's own. why then do we allow data to do what it wishes without constraints and expect math to adapt?