At the core of the alpha factory is a production-grade AI research engine that works the market around the clock.
It ingests market data, filings, transcripts, news flow, and alternative datasets, and converts them into precisely-specified trading hypotheses, each with entry logic, exit logic, universe, and regime conditions attached.
Every hypothesis then enters the validation gauntlet: causal backtesting with no look-ahead, out-of-sample evaluation, walk-forward analysis, and transaction-cost stress tests. Candidates that survive are paper-traded against live markets in automated journals before any capital decision is made.
Most ideas die there. The engine’s job is to make sure they die quickly and cheaply, so the few real edges surface faster.
This is not a prototype. It is a production system, continuously refined, and it is how Bountify turns quantitative research into a repeatable manufacturing process.