LSRI — CIO committee brief (1 page)

1. Overview

LSRI (Structural Risk Intelligence) is a structural risk monitoring system for digital asset markets. It provides a cross-asset LSRI Structural Stress Index on a 0–100 scale, mapped to four discrete regime states, plus per-asset regime reads where the product tier exposes them. It describes aggregated structural stress conditions — not price direction, not trade timing, and not a standalone investment model.

2. Primary outputs

Cross-asset index (0–100): one consolidated structural stress read for market context.

Per-asset layer: regime labels, scores, and compact regime memory (e.g. 30d / 90d timelines) on covered assets, subject to tier.

Publication follows a daily structural snapshot rhythm: stored updates are expected after 20:00 UTC on most business days (Monday–Friday), subject to product tier and operational schedule — not a continuous intraday signal unless your tier explicitly provides richer refresh for dashboards.

3. Four LSRI regime states

Operational labels on the public product (stress rises from left to right):

• Normal — benign structural baseline for routine monitoring.
• Vigilance — elevated structural attention; early stress fingerprints.
• Stress — high structural stress; fragile execution conditions more likely.
• Critical — severe structural fragility; systemic-style correlation and liquidity risk heightened.

The index and regimes describe market structural state, not a forecast path for prices.

4. Intended institutional use

LSRI is designed as:

• a risk context layer on digital asset markets;
• a complement to internal risk models, limits, and execution stacks;
• a discussion support input for risk / investment forums — minutes, prep questions, committee packs.

It does not replace internal risk models, execution systems, compliance sign-off, or your institution’s investment decision framework.

5. Organisational integration (multi-actor)

Interpretation is naturally multi-party:

• PM: portfolio-level structural context.
• Risk: complementary structural stress indicator alongside limits and liquidity tools.
• Quant / model risk: comparison and challenge versus internal signals.
• CIO / committees: macro framing of digital-asset structural conditions.
• IT / data: ingestion via documented API / exports / terminal surfaces, where subscribed.

6. Interpretation limits

LSRI does not provide:

• buy / sell recommendations or position sizing;
• price or return forecasts, or guaranteed timing;
• performance warranties or an allocation strategy;
• substitution for your governance, mandate, or regulatory obligations.

Regime transitions can be gradual or abrupt; outputs are aggregated and probabilistic; reading depends on mandate and team — see the methodology disclaimer layer for full institutional language.

7. Pilot evaluation frame

Recommended lightweight test: 4–8 weeks, one workflow (e.g. a weekly risk or investment forum), one named internal owner (risk or PM sponsor), embedded in an existing process — no organisational redesign required. Exit criterion: a clear institutional decision to continue, adjust, or stop — without ambiguity.

Checklist and grey-usage heuristics: Pilot framework (1-pager) — markdown reference, version-controlled with the site.

8. Success criteria (outside PnL theatre)

Success is not defined by predictive hit rate or isolated PnL impact. Useful adoption shows up as: LSRI referenced in risk / investment prep; artefacts (memos, packs, calendars) with dated LSRI snapshots; persistence across calm and stressed weeks. Absence of those artefacts is evidence of non-integration even if a login exists.

9. Silent non-adoption patterns

Non-adoption is often quiet:

• occasional viewing with no effect on prep questions or decisions;
• active access but no structured slot in internal reviews;
• data pulled but never reaching committee or audit trails;
• evaluation deferred without a named owner or dated decision.

These patterns are treated as non-real usage for pilot purposes — even when there is no explicit “no” from a sponsor.

10. Positioning summary

LSRI is a non-executive, non-prescriptive structural risk observation layer for digital asset markets. Its value is coherent context inside professional processes — not standalone alpha. The central adoption test is integration into existing governance workflows, not isolated performance claims.

11. Observable evidence today — and what this page does not claim

Without taking anyone’s word for it, you can inspect dated public artefacts produced by the same system: archived regime transitions, documented stress windows, and methodology-aligned historical reads. Use the evidence links at the bottom of this brief (Track record, Regime history log, Backtests). Committee minutes, internal risk-memo exports, or named fund endorsements are not claimed here — those traces, when they exist, stay inside pilot confidentiality and your own governance trail.

How this brief sits next to the other layers (same ideas, different depth): this page orients committees; Methodology states construction and limits; Desk integration states the snapshot contract and workflow patterns; the Pilot framework is the lightweight operational checklist.