Our Approach

The NeoLogic Decision Matrix

Every trade decision flows through a data-driven matrix that maps current market conditions to the optimal strategy, parameters, and position size.

Step 1 — Classify the Regime

What is the market doing right now?

Every trading day, we classify the market into one of five deployment levels based on VIX volatility and SPY price action.

Surge
Crisis + Weakness
Maximum opportunity
Full
Elevated + Pullback
Strong premium environment
Standard
Normal conditions
Measured deployment
Light
Low volatility
Best setups only
Pause
Dislocation detected
No new trades

Step 2 — Select Sectors

Where do we deploy capital?

Sectors are ranked into priority tiers based on historical consistency, IV rank patterns, and regime-specific performance.

Primary

Financials • Energy

Highest consistency, first capital deployed

Secondary

Industrials

Strong in elevated regimes

Selective

Info Tech • Materials

Regime-dependent, higher volatility

Crisis

Health Care

Active mainly in elevated/crisis regimes

Step 3 — NeoLogic Lookup

Which strategy and parameters?

The matrix maps each (regime, sector) cell to the historically optimal strategy, delta, DTE range, profit target, and stop loss. Every parameter was validated through 5 years of backtesting across 1,400+ parameter combinations.

Regime × Sector → Strategy + Parameters

5 regimes × 6 sectors = 30 cells, each with a validated winner

Step 4 — Position Sizing

How much capital per trade?

Position size is determined by the cell's historical risk-adjusted return. Higher-conviction cells receive larger allocations. Capital deployment scales with regime — more capital deployed in high-opportunity regimes, less in uncertain conditions.

Selling Book

CSP • SPS • IC • Strangle

Premium collection strategies

ETF Book

Iron Condors on SPY/QQQ/IWM

Broad market premium capture

Buying Book

Long Put • PMCC

Directional + hedging positions