What 2 Quadrillion Data Points Told Us
What 2 Quadrillion Data Points Told Us

What 2 Quadrillion Data Points Told Us

| Rich Clifford | Blog

Every week, we come across comments like:

I can see patterns in the charts.” (No, you really can’t.)
I trade fractals in bar charts.” (Fractals don’t work like that.)
You just have to look at the charts and spot the patterns.” (Please, stop.)

Now, don’t get us wrong—patterns do exist in markets. But recognizing them takes more than squinting at a bar chart. It requires serious data, math, and a bit of physics.

The Illusion of Patterns

Spotting a “pattern” in a chart might feel satisfying, but it’s usually just confirmation bias in action. If you’re feeling bullish, you’ll see bullish signals. If you’re bearish, suddenly everything looks like a warning sign. It’s not analysis—it’s wishful thinking.

Trying to detect meaningful structure in a chart with limited data is like scooping a glass of ocean water and saying, “Huh, no fish here. Guess the ocean’s empty.” You’re missing the bigger picture.

The Data That Matters

Take our data sets, for example. For the S&P, we’re working with over 1.5 quadrillion data points. That’s a 1 followed by 15 zeros. The Dow? Over 2 quadrillion. Gold comes in around 512 trillion. Even smaller markets, like Soybean Oil, pack in 60 trillion data points.

This is the scale you need if you're serious about uncovering real, repeatable patterns—fractals included.

If you're curious about what that kind of data can really reveal, and how to dig into it properly, head over to our welcome page. We'll show you what’s actually possible when you step beyond the chart.