I had one other tweet that didn't get a lot of interest, but I liked it. It was one of my favorites.

Good. Good topic. It's one of my topics I like to hammer on. Yeah. And it was the title of this article I read was evolution and adaption, trend followers are constantly changing.

And my point was some are constantly changing or they say they're changing.

The key is to know what to change or what to never change.

And change comes with its own cost.

And to some degree, I think change can act like inconsistency.

If you're changing a lot, you're not following the system, you know, and because you're

changed, you just changed it.

So now you're going to start following this new system or these new parameters.

And the market gods, they don't really know that you slept in or you decided to get out early or decided not to do a trade or you just change the parameters.

It's basically, I think this is kind of the same thing from the math gods.

You know, you need to be consistent.

And making change is good.

But the one thing I would never do would be to change my systems based upon short-term

performance.

The most recent data, overweight and the most recent data.

And I think that's tempting because, quote,

unquote, the markets have changed. They always change when we lose money. We're always worried

about that. So I think that change definitely has cost. I remember one year we had a problem in

2012. We underperformed and we went in and we decided to make some changes.

And there were reasonable philosophical changes, not data mining, but we sort of identified that we were getting in trades too quickly, putting on the whole trade at one time, basically.

And we said, okay, let's spread it out a little bit.

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