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Releases: echo313unfolding/FGIP

FGIP v0.1.0 — Fifth Generation Institute for Prosperity

15 May 03:57

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Initial Public Release

Fifth Generation Institute for Prosperity — forensic graph mapping public funding to commodity bottlenecks and public tickers.

Graph

  • 2,129 nodes · 2,889 edges · 13,880 claims · 5,435 sources
  • 85.9% evidence coverage — 192 Tier-0/Tier-1 sources (government filings, court docs, SEC, FRED)
  • 24 data ingest agents + 8 analytical desk agents (22 subagents)

Verified Findings

  1. Real inflation is 6.3%, not 2.7% — M2 money supply growth tracks actual purchasing power loss. 25-year FRED backtest, 7/7 predictions confirmed, 3/3 adversarial attacks survived.
  2. Big Three structural concentration is passive indexing — Vanguard/BlackRock/State Street own 18-20% of CHIPS recipients AND non-CHIPS control group. Delta: -0.08%. Mechanical index weighting, not strategic positioning.
  3. Defense funding chains traced from bill text to commodity — NDAA FY2025 ($895.2B) → 8 primes → Columbia-class ($132B) → sole-source naval nuclear chain (GD → HII → BWXT → Cameco uranium).

Analytical Desk System (New)

IC-style MoE pattern — multiple specialist desks evaluate theses in parallel:

  • Thesis War Room — 5 desks (funding, supply chain, regulatory, adversarial, timing) score simultaneously
  • Intel Brief — PDB-style structured briefs with key judgments and confidence levels
  • Field Debrief — HUMINT intake for raw field observations → graph JSON
  • Source Evaluator — ADMIRALTY-scale source reliability assessment
  • SITREP — Periodic graph delta and signal alerts

Investment Stack

30 positions across 8 layers (utility, REIT, gas turbine, midstream, upstream, nuclear, uranium, inflation defense) with timing cascade and extraction defense edges.

Quick Start

git clone https://github.com/echo313unfolding/FGIP.git
cd FGIP
python3 -m fgip.cli init
python3 tools/populate_full_graph.py
python3 -m fgip.agents.conviction_engine

Track the money. Test the thesis. Present the documents.