causal risk architecture & quantitative research
exploring the foundational pillars of Dubstrata: cryptographically verified causal graphs, zero-shot multivariate price forecasting, recursive yield engineering, predictive arbitrage, and adaptive credit facilities.
Dubstrata: A Cryptographically Verified Causal Knowledge Graph and Decentralised Prediction Market Microstructure Architecture for Forward-Looking Financial Risk Intelligence
The definitive system architecture paper of Dubstrata. Introducing 3-Tier Verification protocols, dual-agent adversarial triplet extraction, Sybil HHI orderbook concentration filtering, and an 85-market empirical portfolio simulation yielding +1.06% net return with 0.37% max drawdown (+2.34% Jensen's Alpha).
/ the five research pillars
core research dossiers & architecture blueprints
Dubstrata: The Institutional Risk Monitoring Layer
System Architecture, 3-Tier Verification Protocols, and 85-Market Empirical Portfolio Results
The definitive system architecture paper of Dubstrata. Introducing 3-Tier Verification protocols, dual-agent adversarial triplet extraction, Sybil HHI orderbook concentration filtering, and an 85-market empirical portfolio simulation yielding +1.06% net return with 0.37% max drawdown (+2.34% Jensen's Alpha).
Dubstrata Causal-FM: Bi-Temporal Foundation Model
TimesFM-3 2D Grid Attention, 16-Channel Epistemological Tensor, and Live Forward Tournament Benchmarking
The second flagship paper of Dubstrata. Introducing Dubstrata Causal-FM, an institutional bi-temporal multivariate foundation model for non-stationary, high-volatility financial time series. Unifies 2D Grid Attention, 16-channel epistemological tensors across 5-minute grids, Sybil graph contraction, and the Horizon-Resolved Attribution Engine (HRX). Captures Rank #1 overall against 10 frontier LLMs and 4 baselines with a 67% Directional Hit Rate and a 2.73x profit factor under Kyle's lambda slippage and execution latency.
Recursive Yield Engineering
Collateralizing Tokenized RWA Assets & Treasury Yield Vectors in High-Density Risk Vaults
Deconstructing multi-tiered collateralization strategies for RWA treasuries and private credit assets using real-time causal risk monitoring and automated yield optimization.
Predictive Arbitrage & Conversion
Automating Delta-Neutral Yield Vaults via Prediction Market Inefficiency Signals
Exploiting lead-lag discrepancies between prediction market probability distributions and traditional asset orderbooks through zero-lookahead algorithmic execution vaults.
Information-Linked Credit Facility
Adaptive Risk-Adjusted Lending Powered by Real-Time Prediction Market Oracles
Designing dynamic borrow/lending rate curves that dynamically adjust collateral ratios and interest rates based on verified ground-truth risk streams and prediction market probability feeds.
looking for prediction market post-mortems & case studies?
we have archived our empirical prediction market post-mortems—deconstructing AIS satellite telemetry, developer metadata false positives, SEC disclosure lags, and false-flag disinformation sweeps.