Complexity Science × Financial Markets

Quantitative market monitoring
built on complexity science

Structural health detection for the S&P 500. Bitcoin valuation analytics. Sector ETF scanning.

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Three analytical lenses, one platform

Regime Pulse
by Regime Research
S&P 500

The first commercial application of critical transitions theory to financial markets.

  • 10 of 11 major drawdowns detected since 1997
  • 47-day median advance warning
  • 84% ALERT hit rate across 43 episodes
  • Daily monitoring, updated after market close
Regime Lens
by Regime Research
Bitcoin

Dual-model quantitative valuation framework for Bitcoin.

  • Valuation corridor with floor, fair value, ceiling
  • Monetary conditions model
  • 24/24 completed dual signal episodes preceded positive 12-month returns
  • Structural instability monitoring (inverse signal)
Regime Scan
Included with subscription
by Regime Research
Sector ETFs

Sector-specific structural detection applied to markets where independent, non-redundant signals were validated. Included with your Regime Pulse and Regime Lens subscription.

  • Energy (XLE) — standard detection
  • Utilities (XLU) — escalation-only filtering
  • Financials (XLF) — stability channel
  • Cross-reference with broad market conditions
Why these three sectors? Read our methodology →
Read our research → Blog
Including the results that didn’t work →

The Science

Complex systems — from ecosystems to power grids to financial markets — share a common property: they produce measurable statistical signatures before major structural transitions. This phenomenon has been documented across dozens of domains in peer-reviewed research since 2009.

When a system approaches a tipping point, its ability to absorb shocks degrades in ways that can be measured. The recovery rate slows. The structure of fluctuations changes. These are not predictions — they are structural measurements of a system under increasing stress.

Regime Research applies this framework to financial time series: the S&P 500, Bitcoin, and sector ETFs. Each instrument is monitored through independent channels that track different dimensions of structural health, calibrated to the specific characteristics of each market.

Based on the critical transitions framework established in Scheffer et al. (Nature, 2009) and related peer-reviewed research.

Regime Pulse Track Record

10 / 11
Major S&P 500 drawdowns detected since 1997 (declines exceeding 7%)
1 miss
In 28 years of data — September 11, 2001 (an event with no statistical precursor)
36 / 43
ALERT episodes followed by 5%+ decline since 1997 (84%)
47 days
Median ALERT lead time before drawdown onset
28 years
Of market data analyzed — 7,800+ trading days monitored

What would have happened?

See how the detection system behaved before major market events.

Green = CLEAR  ·  Amber = DETERIORATING  ·  Red = ALERT
Dashed line marks the date the system entered ALERT state.

New to regime detection?

Our plain-language guide explains what each regime state means, how the detection system works, and how investors have historically used this kind of information.

Read the Guide

One subscription, three analytical lenses

All products included in a single plan.

$15 / month
or $129 / year (save 28%)
  • S&P 500 structural regime dashboard (Regime Pulse)
  • Bitcoin valuation + signal analytics (Regime Lens)
  • Sector ETF monitoring included (Regime Scan)
  • Daily email summaries + alerts
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