1. Evidence over narratives
Most market commentary is storytelling. We build repeatable pipelines that transform raw data into testable claims.
2. Research is only useful when operationalized
Papers are starting points. We aim to turn ideas into measurable features, backtests, and live monitoring.
3. Survivability is the constraint, convexity is the aim
We’re aim to take asymmetric bets under constrained conditions.
4. Markets are complex adaptive systems, not equations to solve.
We treat uncertainty as fundamental, and focus on understanding structure, incentives, and change over time.
5. Belief, not certainty.
We think in probabilities. Confidence is treated as something that can be measured, tested.
6. Multiple weak signals can form strong intelligence.
Real insight often comes from combining independent evidence and many datasets.
7. Build in public, transparently.
We share progress as it happens, prototypes, failures, and improvements — so the process is visible, not just the outcomes.
8. Mechanism matters.
When possible, we prefer explanations grounded in market structure; positioning, liquidity, constraints, reflexivity over purely statistical patterns.