Alpha Yazan AI
An autonomous research platform that treats the market as a live laboratory: it watches continuously, proposes its own strategies, and subjects every one of them to the same evidence discipline — with a hard boundary at paper evaluation.
What the platform does
Real-time observation
The platform ingests live market data continuously during trading hours, maintaining an internal picture of market state rather than reacting to isolated ticks.
Event-driven architecture
Everything downstream — detection, research, evaluation — is driven by market events flowing through the system, keeping the platform responsive and auditable.
Historical replay
Recorded market history can be replayed through the same machinery that runs live, so candidate strategies are tested under conditions faithful to how they would actually run.
Shadow evaluation
New strategy versions run in shadow alongside their predecessors — observed, measured, and compared — before any promotion decision is made.
Governance layer
Authority separation, frozen strategy identities, evidence gates, and fail-closed controls sit above everything else. The research engine cannot expand its own authority.
Paper execution
Validated strategies are evaluated prospectively with simulated (paper) execution. This is the platform's outermost authority today, by deliberate design.
Research status
We publish status plainly, in the same terms we use internally.
Research status
- Architecture
- Active research
- Historical evaluation
- Ongoing
- Prospective paper evaluation
- Ongoing
- Live-money authority
- NOT ENABLED
No performance results are published. Paper and historical evaluation results are research evidence, not indicators of profitability. See the disclaimer.