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GIE-Soliton V2.5: "AWACS" Upgrade Report

Date: 2026-03-06 Codename: AWACS (Advanced Warning And Control System) Build: 2.5.0-STABLE Author: Chao Ma · ORCID: 0009-0004-2456-9098

1. Executive Summary

V2.5 marks the transition from Passive Admissibility (V2.4) to Proactive Structural Sensing. The introduction of the AWACS layer allows the system to detect liquidity exhaustion before execution-level collapse occurs.

Key Performance Metrics (Hot-path)

  • Single-tick Latency: ~0.013 ms (Core AI)
  • Full Stack Sensing (26-tick): ~0.359 ms (CPython) | Target: < 0.035 ms (Cython)
  • Memory Protocol: Zero Dynamic Allocation in Hot-path (slots enforced).

2. Proactive Sensing Modules (The Radar Suite)

2.1 Lead-Lag Cross-Field Radar (CFR)

Detects "Signal Leakage" across correlated venues.

  • Mechanism: Uses a Welford-based online correlation matrix ($\rho_{LL}$) to monitor the diffusion of liquidity decay from auxiliary manifolds to the primary asset.
  • Optimization: Deferred sqrt. Square root operations are deferred to the end of each 26-tick batch to minimize per-tick CPU cycles.

2.2 Multi-Scale Tensor Sweep (MSTS)

Identifies structural resonance using a frequency-domain approach.

  • Mechanism: Monitors the Discrete Laplacian ($\Psi$) across 6 concurrent scales ($W \in {8, 16, 26, 40, 60, 100}$).
  • Optimization: Arithmetic Unrolling. Explicit loop unrolling for scale-power summation to bypass Python's bytecode iteration overhead.

2.3 IFF (Identification Friend or Foe)

Separates endogenous Market Impact from exogenous market shifts.

  • Formula: $AI_{adj} = (M_t - Vol_{self}) / (|\Delta P_t - \hat{I}_{self}| + \epsilon)$
  • Logic: If $AI_{raw}$ collapses but $AI_{adj}$ remains stable, the system identifies the decay as "Friend" (self-inflicted) and triggers Execution Damping instead of a full standby.

3. Enhanced FSM State Machine (8-State)

The Finite State Machine (FSM) now includes two preemptive states:

State Trigger Action
PRE_DRIFT $\rho_{LL} &gt; Threshold$ Partial Admissibility Constriction
RESONANCE Multi-scale PSD > $\sigma_{limit}$ Immediate Gateway Lock
DRIFT $\nabla AI$ Sustained Negative Drift Warning Signal
COLLAPSE $AI_{log} &lt; -3.0$ Transition to Phoenix Standby

4. Engineering Constraints & Compliance

  • The ETL Moat: Data ingestion remains strictly isolated.
  • The Physical Lock: Hard-coded singularity triggers ($AI_{raw} &lt; 10^{-6}$) retain global override priority.
  • Numerical Safety: All Welford accumulators operate in $log_{10}$ space to prevent precision loss in singular markets.

Verified by GIE-Soliton Integrity Suite (6/6 Passed)

Release Notes — GIE AI v2.4.0

High‑Performance Ma-Chao Equation Engine

Logic Upgrade

  • Integrated ∇ (nabla) pressure gradient analysis into core admissibility logic.

Optimization

  • Refactored ThresholdManager using bisect.insort, achieving O(log n) insertion complexity with deterministic ordering.

New Features

  • Implemented the "Phoenix State Machine" for singularity protection and extreme‑state recovery.

Benchmark

  • Achieved < 0.032 ms end‑to‑end latency on Python 3.12 Scalar backend.