Built in public, by people who love quant.

Why Zignal exists

Thai markets deserve serious quant coverage.

Most research on the SET is narrative-driven: brokerage notes, sell-side idea pages, macro commentary. Useful, but the same material every analyst reads. None of it tells you what a factor model is seeing right now, which regime the market is in, or where the tails of the distribution are getting thicker.

That gap is where Zignal lives. We run Infozense's quant models against Thai market data and publish what they see — as charts, tables, and short notes. The models don't care about consensus. They pay attention to the tails.

What we publish

Four cadences, one quant engine.

Zignal is built around four content types, produced on a fixed schedule so readers can build a daily habit:

• Daily Chart Mon–Fri · ~200 words

  One chart a day, one blind spot gone. Each caption teaches a single concept using that day's Thai market data.

• Weekly Signal Monday AM · 2–3 min

  A deeper look at what our models are telling us this week — the reasoning, not the recommendation.

• Live Monitor Refreshed Fridays

  Ongoing dashboards: SET50 factor scores, sector rotation, USD/THB regime state. Always on.

• Zignal Monthly 1st working day · 8–10pp PDF

  The flagship: a fund-manager-grade monthly report. Free with an email — the full read lives behind the opt-in.

Division with Infozense Insights

Zignal and Infozense Insights are siblings, not twins.

Infozense applies quantitative analytics across several domains — market microstructure, tick data, supply-chain forecasting, inventory optimisation. Insights is where that work is documented in depth. Zignal is the same quantitative discipline applied to the Thai market in real time, published daily. Here's the split:

Insights shows how the models are built. Zignal shows what the models are saying this week. If a Zignal piece raises a methodological question, it links to the relevant Insights chapter.

Who reads Zignal

Built for the people who hire quant teams.

Zignal is written for four kinds of reader:

Thai fund managers and analysts — the people running money on the SET who want an independent, model-driven second opinion on what their own research desk is seeing.

Thai bank treasury and rates desks — professionals whose jobs touch USD/THB, ThaiBMA, and BOT policy and who benefit from a quantitative framing of what's otherwise narrative-driven coverage.

Global allocators with Thailand exposure — EM funds, family offices, and macro desks who need serious Thai market coverage in English and can't get it anywhere else.

Decision-makers who hire analytics teams — the CIOs, CDOs, and heads of research for whom Zignal is a capability demonstration. If they like what they see, they talk to Infozense.

How the work gets made

Every chart comes from a real model.

Zignal is not a curated feed of external data. Every chart, every factor score, every regime call is the output of a model we built ourselves at Infozense. The models are real. What they're saying is what you see.

We're building it all in public on Thai market data — because Thai public data is rich enough to run serious quant on, because nobody else is doing it in English, and because we'd rather prove what we can do than claim it.

What we don't show is the actionable trade. Specific tickers, exact signal values, and portfolio weights live behind the service wall. Readers who want that can talk to us directly.

The desk

Produced by the Infozense team.

Infozense is a Thailand-based AI and analytics team. We love applying math to real problems wherever we can. Zignal is one of those problems. Our work is documented on Infozense Insights; Zignal is the same team applied to the Thai market in real time.

If you want the full picture of what Infozense is working on, start at infozense.com. If Zignal's output is something you'd like running on your book, the services page is where to start.