Order Boundary Enforcement: Hard-Rule Gate + Judgment Ensemble
A synthetic order stream is evaluated against the rules parsed from the client IPS in Tab 03 in two tiers.
A deterministic hard-rule gate (ticker, leverage, concentration, strategy/sector, OFAC
sanctions) blocks any single breach inline, with no vote — these are orthogonal rules, not opinions to
reconcile. Orders that
clear it pass to a judgment ensemble, where redundant judges weigh the same ambiguity call and
the CCO's threshold ($\tau$) decides what is held for async review. Block decisions derive from the parsed
JSON, not hardcoded labels.
Where rules engines stop being enough
Acknowledged: pre-trade equity restricted-list clearance is a solved problem with mature rules
engines. Outside advisor review (a sitting Chief Audit Executive at a multi-billion-dollar asset manager) confirmed this in May 2026. Institutional employees already get near-instant rules-based
clearance with denial rates approaching zero. Multi-model arbitration adds cost without solving a real pain
in that segment.
statisTicker focuses where the rules-engine ceiling breaks:
judgment-heavy fiduciary mandates, multi-jurisdictional commodity compliance, and dense consumer-credit /
mortgage regulation. The arbitration architecture demonstrated below is the worked example for the OCC
fiduciary segment; the same pattern, with vertical-specific evaluators and per-jurisdiction reasoning, extends
to the lead verticals enumerated in Tab 01 Section D.
The Regulator’s Front-End Question
“Post-trade analysis is fine. Corrective measures are fine. But what are you doing on the
front end, how do you make sure the trade doesn’t go through if it’s
wrong?”
● The institutional answer
Regulators are increasingly asking the front-end question, post-trade surveillance
cannot answer it.
statisTicker gives the institution a signed record: every order arbitrated, every decision
signed, every rationale exportable on demand.
● Dual controls without doubling headcount
Regulators favor dual-control review. Historically that meant two human reviewers, which resulted in twice the cost
center.
The ensemble is the second reviewer. Five independent evaluators with documented dissent. The
CCO sets the policy; the system does the work.
● Liability stays where it must
Regulatory liability cannot be outsourced. The institution remains the first liability holder. Full stop.
statisTicker is instrumentation, not a compliance service. The CCO retains policy
authority via $\tau$; we provide the audit-grade evidence chain.
Judgment Escalation Posture ($\tau$)
The hard-rule gate is always on and is not subject to τ: any single hard breach
(banned ticker, leverage, concentration, strategy/sector, OFAC sanctions) blocks inline, no vote. τ below
governs only the
judgment tier — how many concurring judgment signals escalate a hard-clear-but-ambiguous
order to an async HOLD FOR REVIEW. Consensus belongs here, where redundant judges weigh the
same call — not over the orthogonal hard rules.
Hard-Rule Gate Only
Deterministic baseline. Block any hard IPS breach; judgment tier off. Nothing is
held for ambiguity. Use as the sanity-check floor.
+ Judgment: 3-of-3
Hard gate, plus a HOLD only when all three judgment signals concur. Fewest holds;
highest bar before consuming review capacity.
+ Judgment: 2-of-3 (default)
Hard gate, plus a HOLD when a majority of judgment signals agree an order is
ambiguous. Balanced; the institutional default once judges are tuned.
+ Judgment: any 1-of-3
Hard gate, plus a HOLD on any single judgment concern. Most holds; widest review
net for high-scrutiny windows. Expect more false holds.
Select a live execution block from the stream log to
decode consensus reasoning and model layer weights.
TX Identifier
-
Timestamp Context
-
Order Structure
-
Routing Allocation
-
Ensemble Verdict Convergence
Unified System Rationale
Audit Provenance Binding
Every verdict binds the IPS it was scored against + ruleset version + posture + evaluator versions +
timestamp, so it is reconstructable after the IPS changes. (Fingerprint is a content hash here;
production signs with SHA-256 into the tamper-evident log.)
Confusion Matrix & Decomposed Capital Retention
Value per intercept: $$V_{\text{retained}} = P(\text{inq}|b)\,E[F] + H_{\text{rem}}\,W_{\text{ops}} +
s_{\text{bps}}\,N\,P(\text{impact})$$
$s_{\text{bps}} \times N \times P(\text{impact})$ 18bps × ∑notional
× 0.6
$0
TAB 03 // INVESTMENT TEAM WORKFLOW
Dynamic Rule Ingestion & Policy Generation
Paste or edit a Client Investment Policy Statement. The parser extracts structured execution boundaries that the
arbitration engine in Tab 01 enforces against every order. The output JSON is the same object the gate
evaluates, there is no separate hardcoded rule list.
Load Sample IPS
LLM Parser
Not available on the public demo.
IPS extraction runs locally via the deterministic parser only. Production target: on-premises
open-weight models with citation spans back to the source document. Cloud API parsing is not
exposed on statisticker.net.
Raw Input: Investment Policy Statement
PARSE OK0 rules · 0 ms
Parsed Execution Boundaries (JSON)
This object is consumed by the Tab 01 evaluator on every transaction.
Active Rule Summary, what the gate is enforcing right now
TAB 04 // SYSTEM TOPOLOGY
On-Premises Parallel Arbitration Flow
Target architecture: raw order flow is mirrored off the OMS into an isolated on-prem GPU cluster. A
deterministic hard-rule gate clears or blocks every order inline (sub-ms); only
hard-clear-but-ambiguous orders reach the on-prem LLM judgment ensemble, which resolves on an
async hold path. No order or PII ever crosses a commercial API boundary.
Pipeline Processing Nodes, Pre-Trade Verification
Node 01 // Input
IPS Rule Extraction
Investment team pastes the client IPS into the workflow surface (Tab 03). The
parser produces structured rule JSON. Public demo: local deterministic extraction only. Production target:
on-premises open-weight models with strict output schema and per-clause citations.
Isolation: client-side parser · no cloud inference on public site
Node 02 // Mirror
Order-Flow Mirror Tap
A read-only FIX session or OMS sidecar mirrors proposed orders before they leave the
desk. Evaluation runs in parallel with the desk’s native risk check; no critical-path latency added.
Integration target: Charles River / Aladdin / OMS-native
Node 03 // Core
Two-Tier Arbitration
Tier 1 — Hard-Rule Gate (deterministic, sub-ms): orthogonal
checks on ticker/sector, leverage, concentration, strategy, and OFAC sanctions (SDN + jurisdiction). Any
single breach blocks inline — no
vote, because these are disjoint rules, not opinions to reconcile. Tier 2 — Judgment Ensemble
(LLM, async): redundant judges weigh a hard-clear-but-ambiguous order on the same call;
the CCO’s $\tau$ sets the consensus needed to HOLD for review. Consensus lives here, not over the hard
rules.
The Tier-1 block/clear verdict returns to the OMS within the order’s
pre-trade window (deterministic, sub-ms). Tier-2 judgment HOLDs resolve on an async path
(≈5–15s on the on-prem ensemble) — a soft hold, never an inline block, so a multi-LLM read
never sits in the critical execution path. Every verdict, hard-rule hit, and judgment rationale is written
to a tamper-evident audit log for the CCO and regulator.
Surface: dashboard + signed JSON-LD audit export
Engine Capabilities (v0.3)
What the arbitration engine does today — and why each property matters to a compliance officer.
Two-Tier Arbitration
A deterministic hard-rule gate blocks any single bright-line breach
inline (sub-ms, no vote). A judgment ensemble weighs only hard-clear-but-ambiguous orders,
with the CCO’s τ deciding what is escalated to an async HOLD.
Hard limits are enforced reliably and instantly; consensus is reserved for genuine
judgment calls. A banned ticker can never be “voted” clear.
Fail-Loud Parse Coverage
Every IPS parse reports which rule-bearing clauses it could not map, with a
coverage score. Unmapped clauses are surfaced on the execution gate, and any CLEAR issued under incomplete
coverage is tagged provisional.
An unparsed limit is an unenforced limit. Under-enforcement is made loud, never
silent — the failure mode a CCO most needs to see.
Audit Provenance Binding
Every verdict binds the IPS fingerprint, ruleset + parser version, active posture
(τ), per-evaluator versions, and a timestamp — shown in the arbitration telemetry.
A verdict stays reconstructable after the IPS changes. The minimum a tamper-evident
audit log needs to actually be tamper-evident.
In-View Disclosure
Each evaluator that is a stub today is badged where it renders —
DET·STUB on the hard-rule checks,
STUB on the judgment signals.
No one mistakes a deterministic proxy for live model inference. Disclosure sits next to
the claim, not buried in a footnote.
Regression-Tested Logic
The parser, evaluators, and two-tier arbitration run against golden fixtures
(npm test) loaded from the live engine source — nine checks, offline, no API key.
The compliance logic can’t silently regress. The suite pins the invariant that a
hard breach blocks under every posture.
We are explicit about state because it matters to a CCO and to us. Demo today is the deterministic-parser
end-to-end loop; production-grade pieces are scoped below.
● Working today (v0.3)
Deterministic IPS parser (Tab 03): regex/keyword extraction over real IPS phrasing, with a coverage
report.
Live binding from parsed JSON to the gate. What you paste decides what blocks — no hardcoded
labels.
Two-tier arbitration: an always-on deterministic hard-rule gate (any single breach
blocks inline) plus a judgment tier where the τ posture escalates ambiguous orders to an async HOLD.
OFAC sanctions enforcement: the hard gate blocks orders whose counterparty hits the SDN
screen or whose jurisdiction is sanctioned, whenever the IPS mandates screening.
Fail-loud parse coverage: unmapped IPS clauses are surfaced on the gate, and CLEARs
issued under incomplete coverage are flagged provisional.
Audit provenance binding on every verdict (IPS fingerprint + ruleset/posture/evaluator
versions + timestamp).
In-view stub disclosure badges, plus golden-fixture regression tests
(npm test).
Confusion matrix and decomposed value formula updated live against the synthetic stream.
○ Stubbed for demo
The hard-rule checks and the judgment-tier “judges” are deterministic rule/signal proxies
today (badged in-view), not live on-prem model inference.
Transaction stream is a synthetic fixture, not a live OMS mirror.
KDE / statistical layer uses a hand-set z-score per fixture row; no real density model yet.
Coverage scoring and the IPS fingerprint are heuristic / non-cryptographic stand-ins for the production
schema-diff and SHA-256 signing.
OFAC enforcement is live, but the SDN / sanctioned-jurisdiction list is a demo fixture; production wires
the live OFAC feed.
IPS parsing is deterministic and runs entirely in the browser on this public demo. No IPS text is sent to a cloud API.
◇ Planned (next 30 days)
Hard-gate expansionDOMAIN LEAD INPUT PENDING
The deterministic hard-rule gate now blocks ticker, leverage, concentration, strategy/sector, and OFAC
sanctions (SDN + jurisdiction) breaches inline. Still to wire: settlement restrictions, firm-wide
blacklists, and the live OFAC feed (the SDN list is a demo fixture today). Awaiting Persia’s
failure-mode taxonomy brief.
Dual-scope rule layering: institutional × accountDOMAIN LEAD INPUT PENDING
The arbitration must evaluate against the union of two rule layers: the institution’s
firm-wide policy (always applies to every order) and the account/mandate-specific IPS (applies only to
that book). Fiduciary contexts (trust companies, RIAs) cannot be served with single-scope rules. Schema
and parser changes deferred to Persia’s scope-taxonomy input.
Parallel workflow convergence: Investment Team ↔ OperationsDOMAIN LEAD INPUT PENDING
IPS authoring is owned by the investment team; ingestion and execution live in operations. The
pre-trade gate is where the two organizational tracks converge. TAB 03 today shows a linear
pipeline; production design needs explicit swim-lanes with a defined hand-off contract. Persia is mapping
the interdepartmental flow.
On-prem IPS extraction via open-weight models (vLLM); multi-shot extraction + per-rule citation back to the IPS span.
On-prem GPU cluster running the four LLMs via vLLM; quantized 4-bit checkpoints.
Real KDE fit on rolling per-desk feature windows (volume, realized vol, structure).
Pilot synthetic-feed harness for warm-logo evaluation (JD lane).
Agentic Primitives Roadmap (3 to 6 months)
Capabilities maturing in the broader AI ecosystem that this architecture is designed to incorporate. Each is
labeled by reality: shipped = available today; maturing = production-credible in 3–6
months; ecosystem trend = directionally relevant, explicitly not load-bearing for the v1 pitch.
● Long-context document reasoning
Shipped: 200K–1M-token context windows (Claude, Gemini).
Maturing: 10M-token windows with sub-linear cost: entire loan files, full IPS
documents, complete regulatory texts ingested in a single reasoning pass.
● Multi-jurisdictional regulatory reasoning
Shipped: retrieval-augmented agent loops over per-jurisdiction regulatory corpora.
Maturing: jurisdiction-specialist agents reasoning across CFTC + REMIT + FCA + MAS +
exchange-specific rules concurrently, with conflict resolution.
● Citation-grounded outputs
Shipped: structured outputs with source spans; every claim cites the specific
regulation, paragraph, and page.
Defensibility upgrade for examiners: the audit narrative is verifiable down to the cited
authority, not just the model's word.
● Continuous regulatory monitoring
Shipped: scheduled retrieval + diff against prior corpus.
Catches rule changes the day they publish; routes the diff into the affected agents' working
contexts within the same business day.
● Multi-agent harness with resolver
Shipped: AutoGen, LangGraph, Anthropic MCP for domain-specialist agents per
jurisdiction or rule class.
Maturing: resolver agent reconciles dissent into a single audit-grade narrative with
documented minority opinions retained for examiner replay.
● Ecosystem trends we track (NOT load-bearing for v1)
Agent harnesses with persistent cross-session memory (Hermes-style).
World-model-grade context for regulatory-landscape simulation.
Sub-100ms inference (Cerebras, Groq LPU) for real-time compliance loops.
Each row above maps to a capability that exists today or has a credible path to production
within six months. The v1 pitch does not rest on speculative primitives.