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Research · Sigma

Sigma Volatility-Target Strategy

Dynamic allocation between BTC (risky) and USDC (riskless), driven by rolling historical volatility — constant risk exposure while keeping full upside.

Realized — what the portfolio holds

89.3% BTC

+257 bps drift since last rebalance

Signal — what the formula targets now

74.1%

74% risky / 26% riskless — Elevated but contained volatility — moderate risk allocation.

Last Rebalance

2026-08-16

Next trigger

Quarterly in 18 days

or Δσ ≥ 10.1pp

Formula

ω = min(max((σ_target − σ_riskless) / (σ_risky − σ_riskless), floor), cap)

σ_target=30% · Floor=30% · Cap=100%

Performance (Jan 2022 – Oct 2026)

Strategy Return

24.1%

Benchmark Return

14.3%

Strategy Vol

32.3%

Benchmark Vol

50.5%

Max Drawdown

-45.2%

Sharpe Ratio

0.66

Calmar Ratio

0.53

Rebalances

19

Charts

Allocation History (ω over time)

ω → SignalIncrease (11)Decrease (8)Realized: 89.3% · Signal: 74.1%

Performance — Strategy vs. Benchmark

Volatility with Target Line

Multi-Asset Performance

AssetStrategy ReturnBenchmark ReturnStrategy VolBenchmark VolStrategy MDDBenchmark MDD
BTC24.1%14.3%32.3%50.5%-45.2%-67.0%
ETH7.1%-7.9%36.8%68.6%-42.0%-74.0%
SOL11.4%-9.1%42.5%92.7%-65.3%-94.6%
XRP17.3%18.6%45.7%76.0%-52.7%-72.1%

Risk-Return Scatter

Methodology

Core Approach

  • Dynamic allocation between BTC (risky) and USDC (riskless)
  • Target volatility: 30%
  • Floor: 30% · Cap: 100%
  • 90-day rolling volatility, 7-day SMA smoothing

Rebalancing Rules

  • Quarterly schedule (every 90 days)
  • Volatility trigger: |Δσ| ≥ 15%
  • Cooldown: 0 days between rebalances
  • Annualisation: √365 for 24/7 crypto markets

Backtest period: Jan 2022 – Oct 2026 (1760 days) · Corrected Elyx methodology (v2)