Tickercast

Yes, I’m back.

And there’s absolutely no way I’m catching up on two months of market whiplash, tariff hysteria, AI euphoria, and whatever else CNBC is filling increasingly diminishing airtime with these days.

Truthfully, it’s very easy to get sucked into all of it.

The daily noise. The positioning squeezes. The flow-driven melt-ups. The endless macro narratives pretending to explain price after the fact.

And to be fair, understanding flow and positioning absolutely matters. Especially right now and some of my own trading has shifted in that direction. More on that shall be revealed over the coming weeks.

However most traders still end up trapped in reactive mode anyway, bouncing from headline to headline while the tape slowly liquefies their attention span – and sometimes account principal.

So the question becomes:

What actually persists? What market behavior continues showing up year after year underneath all the noise?

That particular rabbit hole has been on my mind for years and eventually led me to build something I’ve wanted for a very long time.

It’s called Tickercast.

A statistical market weather engine that scans hundreds of symbols every week and surfaces recurring historical stretches, volatility clusters, positive-rate anomalies, and unusually persistent calendar behavior.

Not in the horoscope sense.

In the “certain names repeatedly behave the same way during the same calendar windows for decades” sense.

For example:

AMZN just entered a 10-week bullish stretch that has historically finished positive 79% of the time since 1997.

Average full-run return:
+12.37%

Here’s AVGO, which recently entered a 9-week stretch that has historically finished green 88% of the time since 2009.

Again, none of this guarantees anything. But ignoring recurring market structure because financial television would rather analyze Fed body language and tariff rumors seems… suboptimal.

More importantly, I built an entire dedicated X feed around this concept. Follow @tickercast if recurring market structure and probabilistic context are your thing. I suspect many of you will end up checking it far more often than you currently expect.

But why should you care? Well, if you’re e.g. thinking of buying AMZN today then the fact that it’s about to enter a historically bullish stretch lasting 10 weeks may be kind of worth knowing.

Tickercast posts fresh statistical setups, seasonal stretches, unusual calendar behavior, and recurring market structure observations every single day.

If you sign up on X you’ll get all this and more:

  • Weekly and monthly seasonality setups on liquid names
  • Best-of-year and worst-of-year calendar windows
  • Bullish and bearish streak detection across consecutive weeks
  • Midweek and lifecycle updates when price is confirming or bucking the seasonal read
  • Expected-move context showing when price is trading inside, above, or below the weekly range
  • Threaded clusters when several symbols line up around the same calendar effect
  • Chart-first visuals with historical averages, hit rates, and full-stretch statistics
  • Ongoing follow-up posts tracking how setups actually evolve in live tape

As always: No hype. No predictions. No funky “AI alpha.” That by the way has become my latest pet peeve…

The entire market weather concept was built around recurring historical behavior, market structure, and probabilistic context. Kind of important you’d think. But I haven’t seen anyone built anything even remotely resembling Tickercast. So decided to build it and I hope you will come.

And yes – the entire underlying engine is also completely free to use at tickercast.live if you want to dig through the stats yourself.

Search any supported ticker and pull up the full statistical profile:

  • weekly and monthly behavior
  • volatility and skew
  • return distributions
  • winning streaks
  • seasonal clusters
  • historical market weather

I have an inkling many of you are going to enjoy this far more than you probably should 😉

Have fun.

Michael