Manifesto

Markets often follow narratives. We prioritize empirical validation. Most prediction insights begin as hypotheses. We transform hypotheses into rigorous tests—and let performance guide resource deployment.

1. 1) Talk → tests → truth. Every idea becomes a time‑bound, verifiable prediction with clear entry/exit, assets, and risk.
2. 2) Evidence before deployment. Scoreboards and gates route resources to what survives. No exceptions.
3. 3) Discipline beats discretion. We build algorithms that execute rules. Discretion belongs in research, not execution.
4. 4) Rigor at speed. Leakage‑aware validation, out‑of‑sample checks, walk‑forward analysis, risk overlays. We ship fast without faking rigor.
5. 5) Stability region over point optimum. We select strategies for stability across regimes, not for a single backtest peak.
6. 6) Agentic and composable. We use AI assistants to systematize strategies, refactor pipelines, and scale testing.
7. 7) Builders over theorists. We prize implementers who prove ideas in code, not decks.
8. 8) Absolute returns, low drawdowns. We use leverage only where the drawdown discipline is earned.
9. 9) Strategic openness. We share methodologies and frameworks that preserve competitive advantage while advancing the field.
10. 10) The scoreboard is the culture. Recognition is earned by clearing gates and deploying solutions.
11. 11) Not HFT; daily swing. We operate on the daily timeframe by design to avoid noise and optimize for regime stability.
12. 12) Global coverage. Cross‑asset, cross‑region breadth (equities and futures) reduces narrative bias and strengthens evidence.
13. 13) Vision follows proof. Internal prop research today; signal licensing tomorrow—evidence leads the roadmap.