Quote from: Goomboo on November 13, 2013, 12:50:32 AM

Quote from: xybersurfer on November 09, 2013, 03:57:06 PM

this seems really useful. the region at the top is obviously the largest/greenest (probably the most robust compared to the other regions).

- but what makes it robust?
- what if the largest region was a single square?

A region has to be a grouping of squares or it is not a region. If you're looking at a single green square in a sea of red, you're looking at a system which happened to catch a single large price movement at the perfect time - which the neighboring cells did not catch. By choosing this square, you would be "cherry-picking" a combination based upon a single trade which will never occur again.

You're looking for a profitable system which captures the general characteristics of the market. Specific enough to give direction; vague enough to avoid curve-fitting.

thanks for the reply.

the general idea seems to make sense. but, the issue for me is in considering a green square in a sea of red...

if you:
- use a smaller scale (ex: hours instead of days)
- or exclude the points where the red region occurs
you can make the region really big (a scaling problem).

Quote from: Goomboo on November 13, 2013, 12:50:32 AM

You're looking for a profitable system which captures the general characteristics of the market. Specific enough to give direction; vague enough to avoid curve-fitting.

i assume you mean something like finding a formula for part of a line. i can see that being dangerous
- but would this include sine waves?

greetings