Hoki Labs

Prediction markets. Higher signal.

We study how information becomes price on public prediction markets.

Hoki Labs builds the data pipeline, the research panel and the execution system behind a systematic strategy on on-chain prediction markets.

The system trades live today at a fixed, small position size while we measure execution quality. We don't publish performance figures, and nothing here is an offer of any investment or service.

What we build

A full-history data pipeline

We ingest the complete on-chain trade history of a public prediction market and reconstruct every order, fill, position and resolution into a panel we can query. The venue publishes the data; almost nobody makes it usable.

Research on who is informed

We rank participants on calibration — how often they are right, set against the price they paid — rather than on headline returns, which are dominated by a handful of large positions.

A criteria-based execution engine

The engine acts on live activity that meets conditions fixed in advance. It selects on measured behaviour rather than following a chosen list of accounts, so the strategy stays a rule we can restate, test and retire.

Measurement of our own execution

Each attempt is recorded with the price it wanted and the price it got, broken out by entry-price band. That shows where a strategy is actually reachable, which is a different question from whether it looked good in a backtest.

The company

Entity
Hoki, Inc.
Delaware C-corporation
Based in
Boston, Massachusetts
Team
Spencer Nguyen, founder and chief executive
Robin Ede, co-founder and chief technology officer