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Elastic Sigma

Volatility Regime Mean-Reversion Model

Live Trading — Real Capital Since April 2026

Now Trading Live

Elastic Sigma is now trading live with real capital as of April 2026.
Following extensive research, historical simulation, and validation, the systematic volatility model transitioned to live deployment in April 2026 and is building a real-money track record. The strategy exploits mean-reversion dynamics in volatility markets through daily signal-based rotation between volatility ETF positions. Partners interested in model documentation should contact us directly.

Strategy Philosophy

Elastic Sigma is a systematic volatility regime strategy designed to exploit the natural mean-reverting behavior of volatility markets.

The model dynamically rotates between three distinct positions—shorting volatility (28%), long volatility (12%), and short duration bonds or cash (60%)—based on daily proprietary signals and term structure analysis. When the model detects unfavorable conditions or elevated risk, it shifts to cash or ultra-short bonds, providing capital preservation.

Model Characteristics

4.1

Avg Trades/Month

28%

of time Short Vol

12%

of time Long Vol

60%

of time Bonds/Cash

1x

Once Daily (MOC)

How It Works

The Elastic Sigma model employs a systematic approach to volatility regime identification, using term structure analysis as the primary filter for position direction.

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Mean-Reversion Framework

Volatility exhibits a well-documented tendency to revert to its long-term average after periods of extreme elevation or suppression. The Elastic Sigma model systematically identifies these deviation states and positions accordingly.

Unlike momentum-based strategies that follow trends, Elastic Sigma anticipates reversals by analyzing the term structure of volatility futures to determine optimal positioning.

1

Term Structure Analysis

The model continuously monitors the volatility term structure, distinguishing between contango (normal) and backwardation (inverted) states to inform directional bias.

2

Three-Regime Allocation

The model allocates to one of three positions: shorting volatility (28%), long volatility (12%), or short duration bonds/cash (60%) based on regime classification.

3

Defensive Bonds/Cash

Approximately 60% of the time, the model allocates to short duration bonds or cash, preserving capital during unfavorable volatility conditions.

4

ETF Execution

All positions are implemented through liquid ETFs, ensuring transparent pricing and straightforward execution.

Key Characteristics

Elastic Sigma is designed with institutional-grade risk management and transparent execution at its core.

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Three-Regime System

The strategy rotates between shorting volatility, long volatility, and short duration bonds/cash. No naked shorting or complex derivatives.

Daily Regime Rotation

Signals are calculated just before market close with regime rotation executed at the close, averaging 4.1 trades per month.

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Mean-Reversion Focus

Unlike trend-following approaches, the strategy exploits volatility's natural tendency to return to equilibrium after extreme movements.

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ETF-Based Execution

All positions are implemented through liquid, exchange-traded volatility products with transparent pricing and minimal slippage.

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Systematic Discipline

100% rules-based execution eliminates emotional decision-making and ensures consistent application of the strategy methodology.

Backtest Results

Hypothetical historical simulation of the Elastic Sigma model across the full sample period.

Hypothetical backtested performance. The figures below are derived from a historical simulation, not actual trading, and do not reflect real capital. They do reflect IBKR execution costs; because all transactions are executed Market-on-Close, the simulation assumes no slippage or liquidity constraints under any conditions. Hypothetical results have inherent limitations and benefit from hindsight. Past performance — whether actual or hypothetical — is not indicative of future results. Provided for informational purposes to licensed partners only.

Strategy Profile

Strategy class Systematic volatility regime rotation
Universe SVIX (short volatility) / UVIX (long volatility) / Cash
Rebalance Daily — signal evaluated 7 minutes before the close, executed Market-on-Close (MOC)
Backtest period Jan 1, 2023 → Jun 12, 2026 (3.44 years, 864 trading days)

Performance

CAGR+271.7%
Total return+9,032%
Annualized volatility37.6%
Sharpe ratio3.70
Sortino ratio5.43
Max drawdown−24.2%
Calmar ratio11.22

Consistency

Positive months85.7%
Best month+46.98%
Worst month−17.10%
Avg winning month+14.75%
Avg losing month−4.79%
Trade win rate66.7%
Avg trade return+2.78%

Exposure Profile

RegimeTime
Short volatility (SVIX)28.2%
Long volatility (UVIX)11.7%
Cash (defensive)60.1%

Annual Returns

YearReturn
2023+433.6%
2024+294.6%
2025+167.7%
2026 (to Jun 12)+62.0%

Trade Frequency

Market-on-Close execution · Jan 2023 – Jun 2026

Round-trip trades / month4.1 (median 4, range 1–8)
Regime switches / month7.3
Avg holding period3.2 days
Total closed trades171 over 41.3 months

Monthly Returns (%)

Year JanFebMarAprMayJunJulAugSepOctNovDec EOY
2023 +1.39−5.47+18.74+21.72+16.40+26.72+18.49+45.62+6.86+10.59+12.32+14.02 +433.59
2024 +9.28+8.55+3.18+20.92+11.34+4.80−0.07+46.98+6.36+23.80+6.22+11.23 +294.57
2025 +10.26−3.75+5.78−0.51+24.34+19.53−17.10+11.70+6.11+12.67+30.06+12.00 +167.67
2026 +5.94+10.24−1.81+14.09+11.66+10.92 +62.04

Risk Considerations

Important Risk Factors

Volatility Product Risks

Volatility ETFs are complex instruments that may not track their intended benchmarks precisely. These products can experience significant decay over time due to roll costs and contango effects.

Regime Transition Risk

Sudden regime changes in volatility markets can occur rapidly, potentially resulting in losses before the model can adjust positioning.

Model Limitations

No quantitative model can predict market behavior with certainty. Historical patterns may not repeat, and the strategy may underperform during certain market conditions.

Leverage Considerations

Some volatility ETFs employ leverage, which can amplify both gains and losses. Partners should understand the mechanics of leveraged products.

Volatility trading is not suitable for all investors. Partners should conduct thorough due diligence and consider their risk tolerance before implementation.

Development Status

Model Design

Core signal generation logic and regime detection framework completed

Historical Analysis

Extensive historical simulation and stress testing completed

Live Trading

Trading live with real capital since April 2026, building a verified track record

Partner Integration

API documentation and partner onboarding pending completion

Product Launch

ETI certificate issuance with exchange listing planned

Public Availability

General availability through licensed partner network

Interested in Elastic Sigma?

Partners interested in early access to the Elastic Sigma model documentation and development updates are invited to register their interest.

Register Interest

Early partners will receive priority access to model documentation, signal validation data, and integration support upon launch.