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Research · Sigma

Sigma Volatility-Target Strategy

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

Realized — what the portfolio holds

70.0% SOL

+710 bps drift since last rebalance

Signal — what the formula targets now

56.5%

57% risky / 43% riskless — Elevated but contained volatility — moderate risk allocation.

Last Rebalance

2026-08-08

Next trigger

Quarterly in 70 days

or Δσ ≥ 9.6pp

Formula

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

σ_target=35% · Floor=35% · Cap=100%

Performance (Jan 2022 – Aug 2026)

Strategy Return

12.6%

Benchmark Return

-8.9%

Strategy Vol

42.7%

Benchmark Vol

93.8%

Max Drawdown

-65.3%

Sharpe Ratio

0.22

Calmar Ratio

0.19

Rebalances

36

Charts

Allocation History (ω over time)

ω → SignalIncrease (19)Decrease (17)Realized: 70.0% · Signal: 56.5%

Performance — Strategy vs. Benchmark

Volatility with Target Line

Multi-Asset Performance

AssetStrategy ReturnBenchmark ReturnStrategy VolBenchmark VolStrategy MDDBenchmark MDD
BTC23.6%13.6%32.3%51.0%-45.2%-67.0%
ETH8.2%-7.5%37.0%69.4%-42.0%-74.0%
SOL12.6%-8.9%42.7%93.8%-65.3%-94.6%
XRP19.8%22.4%46.1%76.8%-52.7%-72.1%

Risk-Return Scatter

Methodology

Core Approach

  • Dynamic allocation between SOL (risky) and USDC (riskless)
  • Target volatility: 35%
  • Floor: 35% · 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 – Aug 2026 (1700 days) · Corrected Elyx methodology (v2)