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For Multi-Day Volatility Portfolios

Regime Classification for Multi-Day Volatility Portfolios

Historical backtested performance published in manifests (2012–2024) | Lead time and episode windows: see manifests

Historical market state research for volatility arbitrage, multi-strategy funds, and equity vol portfolios

Daily pre-market classification (Calm, Turning, Stress, Volatility Spike, Systemic Stress)
Delivered by 07:30 AM ET | Rules-based | Zero model drift

Historical backtested research (2012-2024). Research classification only. Not investment advice.

The Multi-Day Volatility Challenge

Researchers analyzing multi-day volatility positions explore different frameworks than those used for intraday analysis.

Research Questions

How did historical regime states correlate with multi-day vol exposure outcomes?

What patterns existed between regime transitions and hedge effectiveness?

How did regime classifications relate to vol pricing dislocations?

What relationship existed between Turning states and subsequent gamma conditions?

Traditional volatility measures are often reactive. Research question: Can exogenous regime classification provide earlier context?

Historical Regime Patterns for Multi-Day Volatility Research

Based on historical backtesting (2012-2024), regime states showed correlation with volatility environments relevant to multi-day positioning

CALM STATE

70.70% of trading days, 2012–2024

Historical characteristics:

  • Baseline / non-alert context
  • Meta state derived from suite definition
  • See manifests for historical summary statistics

Research context:

Historically observed during periods suitable for vol arb research and multi-day premium collection analysis.

TURNING STATE

95.08% historical precision (58/61, 2012–2024)

Historical characteristics:

  • Transition / inflection classification
  • Lead time documented in manifests
  • See manifests for episode windows and limitations

Research context:

Historical pattern observed before volatility regime breaks in historical analysis. This pattern appeared before subsequent stress episodes in historical analysis.

SYSTEMIC STRESS STATE

100.00% historical precision (9/9, 2012–2024)

Historical characteristics:

  • Crisis-grade classification for rare dislocation regimes
  • Lead time documented in manifests
  • See manifests for scoring windows and limitations

Research context:

Pattern historically associated with maximum tail risk and gamma trap conditions (as observed in April 2025 episode).

April 2025: Historical Classification Example

Market State Detector classified Systemic Stress on April 4, 2025 (in historical backtesting), before VIX doubled from 30 to 60

Timeline (backtested classification)

Mar 6
Volatility Spike classification
Apr 3
Turning classification (regime break signal)
Apr 4
Systemic Stress classification (pre-market)
Apr 7
VIX peaked at 60.13, SPX -7.7%

Industry analyses noted that some volatility measures understated short-term risk during this period. In historical backtests, this pattern appeared before the volatility spike.

* Historical backtested classification example. Not predictive. Research only.

Historical Research Applications for Multi-Day Vol Analysis

Based on backtested performance (2012-2024), institutional research teams have explored these regime classification applications

MULTI-DAY POSITION CONTEXT

Historical research question:

How did regime state classifications at market open correlate with subsequent multi-day volatility outcomes?

HEDGE TIMING RESEARCH

Historical research question:

How did Systemic Stress classifications correlate with periods when hedges showed maximum value in historical analysis?

REGIME TRANSITION PATTERNS

Historical research question:

Did Turning state classifications precede periods of regime shifts in historical data?

TERM STRUCTURE OPPORTUNITIES

Historical research question:

How did regime classifications relate to volatility term structure dislocations (1-day vol vs 30-day VIX)?

Research Data Delivery

Daily Classification

One of five states delivered by 07:30 AM ET (pre-market, trading days)

Delivery Methods

API, webhook (HMAC-signed), or email

Format

JSON with timestamp and SHA-256 cryptographic signature

Historical Data

Complete episode manifests (2012-2024) available via validation packet request

Technical Integration

  • REST API with sample payloads
  • Webhook integration (< 2 hours setup)
  • Email delivery (no integration required)

Auditability

  • All classifications timestamped and version-controlled
  • SHA-256 signed payloads for tamper-evidence
  • Reproducible from public NOAA/NASA source data

Historical Validation (2012-2024)

Rules-Based Methodology

Deterministic thresholds (no ML, no look-ahead bias)

Exogenous inputs (NOAA/NASA environmental data)

Combines exogenous data (NOAA/NASA) with market structure inputs (SPX and VIX)

Walk-forward testing: rules validated across multiple eras

Performance Summary (2012-2024 Backtest)

100.00%
SYSTEMIC STRESS
9/9 (2012–2024)
92.86%
VOLATILITY SPIKE
13/14 (2012–2024)
95.08%
TURNING STATE
58/61 (2012–2024)
LEAD TIME
See manifests
Statistics reference published manifests (2012–2024). See validation packet for versions and SHA‑256 hashes.

Access Market State Classification

Join institutional researchers who use Market State Detector to gain pre-market context on volatility regime transitions.

Research classification only for institutional use. Not investment advice. Mindforge is not a registered investment adviser.

Research use only. Not investment advice. Past performance ≠ future results. Mindforge is not a registered investment adviser. Full terms · Methods