Quantitative Research
Quantitative research across Qlumina and Forticia focuses on causal statistical validation, deterministic execution architectures, and market microstructure invariants in liquid exchange-traded futures.
Below are selected technical monographs, research papers, and engineering notes authored by Cayden Richards:
Engineering Journal & Book
The Architecture of Autonomous Alpha: A Research Journal & Engineering Notes
An open research journal and engineering monograph documenting systematic asset management infrastructure, continuous Directed Acyclic Graph (DAG) state modeling, five empirical validation gates, and segregated clearing rails. Co-authored with André Popov.
Technical Monographs & Research Papers
- The Anatomy of Blitz: Deterministic Pre-Trade Risk & Zero-Allocation Architecture — C++20 systems engineering, lock-free SPSC queues, zero dynamic heap allocation on critical paths, and the elimination of GC latency tail risk.
- The 12 Institutional Decision Gates: A Quantitative Framework — Systematic strategy validation protocol: Combinatorial Purged Cross-Validation (CPCV), PBO bounds, microstructure execution modeling, and data air-gaps.
- Why 88% of LLM Alpha Models Suffer Regime Collapse — Autoregressive error compounding, lookahead leakage in financial text embeddings, and causal state-space invariants in non-stationary markets.
- Causal Factor-Absence Placebo Testing — Eliminating backtest Sharpe inflation through 1,000 Fourier phase-scrambled noise surrogates and factor ablation controls.
- Modern Capital Allocation Rails: SMAs & Swiss AMCs — Contrasting legacy Cayman master-feeder fund overhead with US Trade-Only LPOAs on Clear Street and Swiss AMCs with daily Euroclear ISIN settlement.