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# RESEARCH_STATUS.md — RAID (UQO WP 40)

Last update: 2026-11-02 (Phase 5 passed). Legend: ✅ verified by tests/artifacts · 🧪 implemented, validation pending · 🧭 experimental · ⛔ blocked · ⏳ planned · ✖ not implemented (deliberately).

# Phases

Phase Gate Status Evidence
0 Audit scope & feasibility memo ✅ passed 2026-11-02 docs/audit.md, docs/capabilities.md, docs/novelty_matrix.md, docs/risks.md, docs/PROGRESS.md
1 Foundation clean build + tests + docs ✅ passed 2026-11-02 ctest 26/26 (314 assertions), pytest 7/7, docs/PROGRESS.md Phase 1
2 Data offline synthetic tests + opt-in live tests ✅ passed 2026-11-02 offline [findata] 4/4, live [live] 2/2 (60 assertions), docs/operations/findata.md
3 Numerical primitives accuracy + measured break-even ✅ passed 2026-11-02 [metal] 6 cases / 6 411 assertions; experiments/results/bench_primitives_summary.json (Metal wins: fused realized ≥ 39 k elements up to 3.4×, GARCH NLL P=64 up to 7.9×; CPU wins: rolling sums, GARCH P=1, small panels)
4 Econometrics (Tier A) references + Monte Carlo ✅ passed 2026-11-02 R (highfrequency/rugarch) + statsmodels/arch references, tests/simulation Monte Carlo, docs/methods/registry.md
5 Extensions (Tier B) per-feature specs + tests ✅ passed 2026-11-02 (VAR/GFEVD/DY/LW only) tests/reference/test_var_reference.cpp 184 assertions vs statsmodels
6 Benchmarking E1–E7 every claim traceable ⏳ —
7 Manuscript reproducible build, no placeholders ⏳ —
8 Independent review clean-checkout reproduction ⏳ —

# Methods registry (summary; full entries in docs/methods/registry.md from Phase 4)

Method Tier CPU FP64 Metal FP32 Reference software Status
returns (log/arith), lag/lead, rolling windows, calendar-aware aggregation A ✅ ⏳ (Phase 3) numpy; exchange_calendars (calendar exact 2000–2026) ✅ CPU
RV, BPV, RSV±, RQ, jump proxy, TriPV, rCov/rCorr A ✅ (numpy truth 1e−12) ✅ fused kernel 1e−6 vs FP64 highfrequency 1.0.3 (R comparison Phase 4) ✅ CPU
OLS/WLS/ridge, HC0–3, HAC, cluster, rolling OLS A ✅ (statsmodels 1e−9) ✅ sufficient statistics 1e−6 (k ≤ 8) statsmodels 0.15, scipy 1.18 ✅ CPU
HAR-RV, log-HAR, HAR-X, HARQ, rolling, batched A ✅ (highfrequency 1e−8, statsmodels 1e−9) ✅ batched sufficient statistics highfrequency 1.0.3, statsmodels 0.15 ✅
GARCH(1,1), GJR, EGARCH (N, t), QMLE/Hessian/OPG SE, forecasts A ✅ (arch 8.0: loglik 5e−4, params 5 %) ✅ batched NLL 2e−5 (grids) arch 8.0 ✅, rugarch 1.5.6 (Phase 4) ✅ CPU
Bootstrap (stationary / circular / iid), Monte Carlo harness A ✅ (theory + MC coverage) ⏳ GPU replicas (E5) theory (Politis–Romano) ✅
VAR(p), FEVD, GFEVD, Diebold–Yilmaz (static, rolling), Ledoit–Wolf B ✅ (statsmodels 1e−9) ⏳ (E4: batched covariance inputs) statsmodels 0.15 ✅
Realized GARCH, HEAVY, DCC, GARCH-MIDAS, FIGARCH, BVAR/VECM, Kalman, change-point B ✖ not implemented (deliberate: no experiment in E1–E7 needs them) ✖ — ✖
Pre-averaging, realized kernels, MSRV, BNS test C ✖ (1-min bars) highfrequency 🧭 only if validated
Hawkes, order-flow, LOB methods C ✖ ✖ — ✖ no admissible data (bars only)

# Blockers

  • None at Phase 0. Seven cluster nodes unreachable (m2m16, M2M32, M2M32b, M4M36, m4ma, m4mb, m4mc): E7 reports them as not tested unless they come back.

# Next safe action

Phase 6: experiments E1–E7 (configs in experiments/configs/, drivers in benchmarks/ and experiments/scripts/, raw records + manifests under experiments/results/), starting with the E7 bundle for cluster nodes and the FinData universe/export for E1–E4.

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