Trading Science Experiments

 Lose Less — Reduce losses, magnitude and frequency.
 Win More — Improve win rate on trades.
 Make More on Winners — Extract more from the winning trades.
 Find New Setups — Explore strategies worth adding to the playbook.

And so when I use buckets like this, I know exactly what the outcome should be.

So, let’s say I’m in deep operational mode and looking at how the TICK index can help fine-tune a pullback entry.
(I’ve done some good training on the TICK index here ⇒ Short Term Trading Strategies Using The TICK Index)

That’s a Win More experiment. I’m not trying to bank more on each trade, just hit a higher win rate by improving timing.

Or maybe I’m reviewing stop losses in my journal…

• Do I need the full stop here?
• Should I be scaling out sooner on certain setups?
• Are some plays producing too many full stops, and are they worth it?

That’s squarely in the Lose Less bucket.

And that’s the point:

When you define the type of experiment, you stop obsessing over the P&L (which is often a lagging indicator)

And start measuring success by the outcome you intended.

Try it.

Pick a bucket.
Run the test.
Review the result.

You’re not just a trader…
You’re the CEO of your trading business.
Allocating time, focus, and capital to the experiments that drive the highest return.