About

I'm Fabrice Dautriat. I've spent more than a decade in crypto as a builder.

Before this site, I led programs at Ledger and founded Adamik, a multichain blockchain API (since wound down). Today I run Triton Innovation, a software and blockchain engineering studio based in Paris and Singapore. The thread across all of it is infrastructure and the unglamorous parts: the plumbing, the risk, the things that have to be true for everything else to work.

BTC Signal started as a private tool. I wanted to know where Bitcoin sat in its own history without trusting anyone's narrative about it, so I built the indicators myself, from the raw data, and worked through the math behind each one. The more I built, the more I noticed how much of crypto's analytical content is confident about things it has no right to be confident about. Indicators get marketed as laws. Backtests quietly train on the data they are tested against. "Power Law" gets attached to a curve that isn't one.

This site is the opposite of that. It's a research instrument, not a signal service. Every indicator is published with its method, its history, and its caveats, including the parts that don't work. The machine-learning model failed to predict price, and I say so in the title of the article about it. When I get something wrong, I correct it in public and leave the correction visible. That's the point, not an accident.

What it is not: financial advice, or a buy/sell oracle. The dashboard shows you Bitcoin's position and the uncertainty around it. What you do with that is yours.

I'm based in Singapore as of mid-2026, building in the APAC web3 ecosystem. If you work on infrastructure, custody, MPC, or developer platforms, or you just want to argue about a tail index, I'd like to hear from you.