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Macro-Financial Topology · Planetary Graph Engine · Quantitative Signals

Capital Manifold: Planetary Balance-Sheet Network Dynamics, Siphon Forensics & Macro-Financial Graph Engine

Author: Conner Kupferberg
Status: Open Source & Public Utility Engine
Codebase: github.com/connerkup/capital-manifold
Quant Evaluation: Numerai Tournament Alpha
OPEN REPOSITORY & PROPRIETARY ALPHA BOUNDARY

The macro-financial graph engine (DuckDB / PGM dual-frontier) and double-entry Kirchhoff flow balance algorithms are published under MIT open-source license as a public utility money tracker. All continuous-time alpha models, feature neutralization weights, proprietary signal transforms, and live tournament execution logic remain confidential proprietary intellectual property of Thalamocortical Systems.

1. The Planetary Epistemic Crisis

Modern macroeconomics models money as an aggregate scalar quantity rather than a directed topological manifold. Beneath official national accounts, capital moves through a labyrinth of multi-tier institutional balance sheets, offshore currency swaps, shadow banking conduits, and dark maritime logistics arbitrage:

Capital Manifold models planetary capital flows as a multi-tier, directed, double-entry financial network built on the Procedural Graph Engine (pgm-engine) and DuckDB. It treats balance sheets as state variables ($S$), cash and credit flows as time derivatives ($dS/dt$), and institutional conduits as nodes constrained by Kirchhoff flow conservation.

2. Quantitative Signal Generation & Numerai Applications

When combined with Thalamocortical Systems' continuous-time dynamical models, Capital Manifold provides a clean, invariant-bounded signal generation engine for quantitative tournaments (such as Numerai):

  1. Continuous Phase-Space Drift (CfC): Real market returns do not pause between discrete token steps. Continuous-time neural ODEs trace price action as smooth geometric drift across non-stationary regimes.
  2. Siamese Volatility Gating (DR-S-TWE): Sudden liquidity drawdowns, central bank policy shocks, and earnings gaps trigger surprise alarms ($g_t \to 0$), immediately routing predictions through discrete shock-absorbing representations without crashing continuous gradients.
  3. Orthogonal Dictionary Neutralization: By applying PhaseSAE parameter partitioning, feature representations are decomposed into orthogonal phase slices. In the Numerai tournament, this directly neutralizes common risk-factor exposures, maximizing True Contribution (TC) and Feature Neutral Correlation (FNC).
  4. Double-Entry Kirchhoff Invariance: Unlike unconstrained regression models that invent capital out of thin air, every modeled transaction enforces $\sum \dot{M}_{\text{in}} = \sum \dot{M}_{\text{out}}$.

3. Four-Tier Monetary Architecture

Monetary Tier Representative Entities Balance Sheet Mechanism
Tier 0: Sovereign Genesis US Treasury (TGA), Agence France Trésor, PBOC, BOJ Fiscal debt creation & currency issuance
Tier 1: Transmission Primary Dealers (SVT), Banque de France, FICC Repo, Synthetic FX Swaps Reserve clearing & primary syndicate absorption
Tier 2: Traversal Eurosystem TARGET2, US Triparty Repo ($3.0T/day SOFR), London Eurodollar Interbank clearing & trade imbalance settlement
Tier 3: Sinks & Basins German Bund 10Y, Bundesbank Creditor Sink, Fed QT Burn, Cayman/UAE Custody Collateral flight anchors & dark custody sinks