24 days of early warning before the March 2020 crash
For risk managers and investment committees.
LSRI was in stress when drawdown was still -12%. The worst came after. No forecast — just a documented regime state for governance and audit.
No credit card — demo & docs self-service
Entry-level: EconObserver — $990/year, daily email (5 tickers), no API. See pricing →
Validated on Flash Crash 2010, COVID March 2020, Bear 2022 — see Proven
Proof
Stress by Feb 27 (drawdown still -12%). The worst came after. Methodology and full case study below.
Full case study →About
For risk managers and committees: a daily stress level (0–3) per ticker, with full documentation. LSRI doesn't predict; it flags when the regime has already shifted. Deterministic, versioned. Methodology and Case Study.
Live Risk State
SPY, QQQ, DIA — updated daily after market close. No API key required.
Access Full Metadata (JSON) →Live Snapshot
Index-level risk looks calm. Structural risk is not.
While broad indices show a stable bull regime, LSRI detects structural stress concentrated in specific sectors (healthcare & insurance). When a ticker passes from Normal to LSRI-Locked while the price has not yet moved, that is the value of your subscription: early structural detection before the liquidity trap.
Multi-Asset View
Sample snapshot — full universe (118 tickers) available via API.
| Ticker | Level | Raw | Structural State | Regime | Persist. |
|---|---|---|---|---|---|
| Loading… | |||||
Business Value
Causal, auditable data for regime monitoring. Not prediction — state observation.
Structural risk state derived from price, volume, and volatility asymmetries. No look-ahead bias.
→ Rolling 252-day windows; audit-ready computation.
LSRI does not predict. It measures current regime stability. Each snapshot is append-only and citable.
→ Same methodology (TS_2026Q1); full governance metadata.
Daily 0–3 risk state per ticker. Level 2/3 signals structural fatigue before it becomes systemic.
→ One API call per ticker; committee-ready snapshots.
When the structure shifts, LSRI reflects it. Early visibility into regime fractures.
→ Example: March 2020 — stress flagged before peak drawdown (see Case Study).
Risk managers — daily portfolio risk state monitoring
Macro & multi-asset funds — regime monitoring and governance
Credit & liquidity desks — structural stress detection
Investment committees — audit trail & decision snapshots
Clarity
Causal data — risk level, confidence, persistence, regime, and governance metadata. Versioned & audit-ready.
Deterministic — same inputs produce same outputs. No black box. Append-only outputs for monitoring and documentation.
Auditable — full traceability. Each snapshot can be cited in committee and audit settings.
Early structural detection — F_B identifies algebraic locks before price reflects them (see 2020 Case Study). No forecast, no trading signal.
Not a crystal ball — LSRI measures current structural state; it does not predict future prices or trading outcomes.
Not algorithmic trading — LSRI is a monitoring signal for risk governance, not a trading system.
Integration
Simple integration. Daily updates. Full governance trail.
Fetch risk state via /v2/lsri/latest for your ticker universe.
Keep the full response with governance metadata in your own systems.
Build append-only decision_snapshot records for audit trails.
Use in dashboards, reports, or committee materials. LSRI is non-prescriptive — interpretation and action remain with your team.
Get Started
Annual license — non-refundable — please use the demo and docs before purchase. Refund Policy
LSRI provides market state data. It does not provide trading signals, forecasts, or investment advice. No financial performance is implied or guaranteed.
LSRI is a non-prescriptive monitoring signal designed for risk governance and oversight. Users are solely responsible for their investment decisions. Data is provided "as is" without warranty.