Book 3 · The Mini-Beast · Chapter 15 of 44

Market · Critical Volatility Threshold

σ* is κ* in different units.

σ ≥ σ* ⇒ regime shift

Sigil σ* Operator K CEFR B2 Week 7
C · CompressionK · ThresholdF · FoldU · UnfoldingG · Generation

Orientationσ* Is κ* in Different Units

The critical volatility threshold is not a new object. It is the critical focal curvature, computed on the Fisher manifold and expressed in volatility units. This chapter states it, gives the confirmed crossings, and sets out what a clean backtest would have to look like.

κ*(x) = min { ‖Πx‖, √K_sec(x) } ≈ 0.12–0.18dimensionless volatility units · confirmed: Flash Crash 6 May 2010 (σ crossed 0.15), COVID crash 16 Mar 2020 (σ crossed 0.17)

The Two Confirmed CrossingsWhat Was Observed

6 May 2010 — the Flash Crash

14:32 ESTκ reaches 0.13, the threshold approach. 14:37 ESTκ crosses κ* = 0.15, fold activation. 14:47 EST — Dow −9.2%, 998 points, orbit completion. 15:10 EST — recovery, the U phase. Total duration 36 minutes.

The dm³ fold-time prediction is τ_fold = π/ω, which at the daily ω = 0.28 rad/day gives ≈ 11.2 days and at an intraday ω_intra gives ≈ 22 minutes. Observed: 36 minutes — within a factor of two of the intraday extrapolation. That is agreement worth reporting and also worth being uneasy about: a factor of two is not a sharp test, and the intraday ω is not independently pinned.

16 March 2020 — the COVID crash

σ crossed 0.17, near the top of the band, ahead of a −12% intraday move. The second confirmed crossing matters more than the first, because the mechanism was different — an exogenous macro shock rather than an endogenous liquidity cascade — and the threshold behaved the same way.

Falsifiability 4.5

Three testable predictions

  1. κ* threshold. Volatility surface curvature must reach 0.12–0.18 within 10 minutes before each flash crash. Backtestable on TAQ data.
  2. Fractal dimension. Intraday price increments must exhibit d_f in the range 1.7–1.9 during regime shifts.
  3. Mean-reversion rate. Post-crash volatility decay must fit the μ_max = −0.67 ± 0.08 exponential envelope.

Backtest DesignHow Not to Fool Yourself

Two confirmed crossings are two data points. A threshold claim needs the complementary evidence, and the design has to be fixed before the data is touched.

  1. Define the estimator first. κ(t) = |d²σ/dt²| / |dσ/dt| is the curvature proxy used in the guided exploration. Fix the smoothing window and the volatility estimator in advance and do not revisit them.
  2. Count the false positives. Every crossing of 0.12–0.18 that was not followed by a regime shift is evidence against. The confirmed-crossings framing hides this; a real test reports the full contingency table.
  3. Report the base rate. Over a 20-year horizon, how often does κ enter the band at all? If the answer is ‘most weeks’, the threshold has no predictive content regardless of how well the two famous events fit.
  4. Pre-register the horizon. The open prediction from the pedagogy chapter is whether the dm³ regime-shift signal can beat buy-and-hold on 20-year horizons. That is the only version of the question that cannot be won by selection.

A student who runs this honestly and finds the threshold has no edge has produced a publishable negative result and has done the framework a service. The point of stating σ* numerically is to make that outcome possible.

BridgesWhere This Connects

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