#58 hvg_mean_degree_excess

In plain terms

Builds the visibility network of closes and measures average connectivity per point; a purely random series gives exactly 4, so the deviation from 4 quantifies hidden structure. Trending/correlated markets push it below 4, periodic or structured ones above.

What this iteration will do

1. worktree, branch feat/odb-ext/hvg_mean_degree_excess; draw/refresh the dashboard flowchart FIRST (R6)
2. freeze the gap-aware oracle oracle_hvg_mean_degree_excess.py over the frozen fixture → forex_orthogonal_extension_hvg_mean_degree_excess_oracle-v1.jsonl + .sha256 (transcribed from probe kernel k_hvg_mean_degree_excess — NEVER the discovery harness)
3. port the causal Rust kernel + rolling state (libm-only transcendentals, NaN/Inf-total, compute-then-update)
4. wire the producer in the SAME PR: BarOrthogonalExtV1 field · writer.rs BarRow/COLUMN_NAMES · schema.sql TEXT-only DDL · feature_metadata.yaml · v4 cohort slot (R4 no split-brain)
5. robustness suite ALL GREEN: non-vacuous parity (batch ≡ streaming) at the locked tolerance · ≥2-symbol replication · crash-stress · golden snapshot · hardening witnesses (RG)
6. mise run rust:check + mise run check:all-gates — red gate ⇒ fix-or-halt (R7), never --no-verify
7. Challenge-and-Held (1 Attacker + 1 Defender) → committed challenge-and-held-*.md; fix conceded gaps before PR-open
8. open the PR (never merge) · overwrite this page with full results · append the iteration-ledger row · Pushover briefing