Performance
Results
The Rolling Butterfly strategy has a real track record — five and a half years of closed positions, reconstructed from broker records. The other two have only been live a few months, so what’s shown for them is backtested using the exact parameters running live today, alongside the short live 0DTE curve near the bottom. Those backtests will be replaced by live results once there’s enough history to matter.
Rolling Butterfly Strategy
A delta-neutral options income strategy trading staggered monthly positions across the S&P 500 and Russell 2000, actively hedged through changing market conditions. Positions are laddered on a roughly two-month cadence, so several are working at once at different stages of their life.
127
Closed positions
79%
Profitable
1 of 6
Losing years
5.7 yr
Track record
Realized result by year, scaled to the largest year. Values are omitted deliberately — position sizing isn’t disclosed. 2026 is year to date.
The strategy is short gamma, which means its difficult regime is a fast, large move rather than a falling market. 2022 was a bear market and the book still finished up. Spring 2025 was the real test — a sharp, fast drawdown, and the largest loss in the record. The following year more than recovered it. A track record this long is useful mainly because it contains that episode instead of avoiding it.
Leveraged ETF Strategy
Growth of $100 invested at the start of the backtest, monthly resolution.
| Metric | Strategy | SPY Buy & Hold |
|---|---|---|
| Total Return | +349.9% | +225.3% |
| Max Drawdown | 17.7% | 34.1% |
| Sharpe Ratio | 0.84 | 0.56 |
The gap between the two lines in the chart above is the edge: rotating into a non-correlated asset during high-volatility periods, rather than sitting in cash, outperforms buy-and-hold on both return and drawdown. A walk-forward test (expanding window, one year out-of-sample at a time) confirms the edge holds up in 6 of 7 test years.
0DTE SPX Strategy
As a defined-risk, high-cadence income strategy, dollar P&L depends heavily on position sizing, so it’s left out here on purpose. The two visuals below tell the more honest story: a consistent win rate, and the actual shape of outcomes behind it.
Frequent small wins cluster tightly on the right, with a thin tail of larger losses on the left when a defined-risk position gets fully breached. That asymmetric shape — high win rate, occasional larger loss, capped by design — is the actual signature of this strategy.
Actual Results So Far
A few weeks of real trading isn’t enough to draw conclusions from, but here it is anyway — index of cumulative P&L since go-live, including one of the worst days the strategy’s structure can produce.
Backtests are simulations based on historical data and don’t account for slippage, fills, or execution quality the way live trading does — actual results have differed and will continue to differ from backtested results. Past performance, simulated or live, is not indicative of future results.