Compare & Why LSRI

You may already use stress indices, regime signals, or enterprise risk platforms. Here’s how LSRI fits: one daily state (0–3) per ticker, with full documentation for committees and audit.

Types of solutions

Aggregate stress indices

System-wide financial stress indicators (e.g. credit, equity, funding, volatility) published by regulators or research bodies. One number or a small set for the whole system or region.

Regime detection APIs

Market regime classification (e.g. bull / bear / neutral) or volatility regimes, often probability-based. Aimed at timing and strategy.

Enterprise risk platforms

Full-featured terminals and data platforms: liquidity analytics, stress testing, valuation, multi-asset. Deep integration, high cost.

Summary

Type Typical output Gap for "one number per ticker, audit-ready"
Aggregate stress indices One or few system-level indices No per-ticker state; not designed for committee-level attribution
Regime detection APIs Bull/bear/neutral or volatility regime Focus on regime, not liquidity/structural stress; not a simple 0–3 with full docs
Enterprise platforms Full analytics, stress tests, reporting Heavy and costly; not a single, documented daily state via simple API

Why LSRI

LSRI fills the gap when you need a single daily stress level (0–3) per ticker, with methodology and backtests you can show to a committee or auditor.