Fasten your seatbelt, as things are about to get uncomfortable.
Markets obsess over price.
Indicators. Oscillators. Order flow. Volume. Liquidity exploration.
Everyone is staring at the what, but few are studying the when.
I’ve been building a visual research dashboard around a simple but uncomfortable question:
What if certain moments in time are statistically more likely to produce turning points?
Not because of news.
Not because of fundamentals.
Not because of pattern recognition.
But because of the numerical structure of the timestamp itself.
Using digital root analysis, reducing each bar’s date/time to a single digit, I’ve been testing whether specific roots cluster around market reversals. Inspired by Nikola Tesla’s fascination with 3, 6, and 9, I isolated those time signatures and measured their relationship to turning points.
The results are… not random – in fact, they are not that random at all.
On a recent daily DAX data set:
- Roots 3, 5, and 9 showed measurable clustering around reversals
- Root 9 produced the strongest average reaction magnitude
- Performance exceeded baseline mean movement
- Effects persisted across multiple samples
Is it statistically interesting? Yes.
And here’s the uncomfortable part:
If markets are complex adaptive systems, why wouldn’t temporal clustering emerge?
Why do we assume time is neutral when we already accept:
- Seasonality
- Earnings cycles
- Options expiry effects
- Gann time counts
- Fibonacci price clustering
But suggest that timestamps themselves might carry structural rhythm, and suddenly it sounds like mysticism.
This isn’t mysticism, it’s a testable hypothesis.
Here is an example of the DAX using daily data:
The dashboard allows:
- Digital root filtering (3, 6, 9 or custom sets)
- Turning point qualification
- Recent turning points
- Future turning points
- Gann-style cycle overlays
- Statistical calibration of best-performing roots
It adds a probabilistic timing layer.
You don’t have to believe in hidden codes, but you should at least test whether they exist, and now you can.
If time leaves fingerprints on price, we can find them.
Thank you.