Research Library
Technical documentation, performance benchmarks, and strategic roadmaps for the AlphaOneAI Swarm Engine.
Validation of Beta-Hairpin stability detection using Swarm Cohesion metrics.
Detection of Alpha-Helix nucleation events and propagation velocity.
Analysis of interaction dynamics between Alpha-Helix and Beta-Hairpin structures.
Scalability test on complex domain topology, resolving topological frustration.
Thermal denaturation simulation predicting melting points via entropy spikes.
Multi-chain assembly simulation of Insulin dimerization and interface stability.
Predator-Prey model analysis detecting 'Critical Slowing Down' before collapse.
Detection of electrical alternans and spiral waves as precursors to arrhythmia.
Dose-response simulation identifying non-linear toxicity thresholds.
Banking network simulation linking synchronization levels to cascade failure risk.
Stabilization of chaotic attractors using targeted micro-perturbations (OGY).
Identification of critical nodes in power grids to prevent cascade blackouts.
Detection of Bullwhip Effect regimes in multi-tier supply chains.
Validation of the Software Acceleration Package (SAP) demonstrating a 664x speedup in the physics kernel via JIT compilation.
Technical overview of the SAP-enhanced Swarm Engine, detailing the transition from reactive simulation to predatory physics engine.
Comparative analysis confirming the system has crossed the 'Event Horizon' of 100 TPS, enabling real-time HFT capability.
Stress testing the Swarm Engine against synthetic 'Flash Crash' and 'Silver Squeeze' scenarios to validate risk gating.
Backtest results of an intraday TQQQ strategy using Swarm Entropy gates, demonstrating a 4.74% return with 19 blocked trades.
Optimization of EXP-031. Looser regime definitions and price-confirmed stress exits improved Ret/DD to 4.27 (vs Base 4.15) while retaining 71% of upside.
Comparative study of the Enhanced TQQQ strategy (EXP-030B) vs Baseline. Dynamic sizing and macro filters yielded superior risk-adjusted returns.
Analysis of Swarm Gating on SPY Bull Put Spreads. Results show a 70% reduction in drawdown during crash regimes.
Comparative study of Enhanced Index Credit Spreads (SPY+QQQ). Bi-directional logic and regime sizing reduced drawdown by 51%.
Validation of the Portfolio Overlay System. Centralized Swarm Governor reduced multi-strategy portfolio drawdown by 99% during simulated crashes.
Results of EXP-031: Swarm Entropy Gating reduced TQQQ drawdown by 50% but significantly capped upside potential. Validated as a risk-off overlay.
Strategic Execution Plan: GPU, FPGA, and Distributed Hive Mind (2026-2027)