A multi-variant rotation system that blends levered Nasdaq/tech bets, KMLM-based switches, and Holy Grail-style signals. It runs many recipe variants, tests them out-of-sample, and enshrines the best-performing one to chase big upside while adding hedges and safer bets to curb risk.

In simple terms, think of this as a big toolbox of recipes. Each recipe is a set of signals that says when to buy a handful of aggressive, levered stock bets (like 3x bets on tech or semiconductors) and when to switch to hedges or safer assets. Signals come from simple concepts like momentum (is a recent price trend strong?), how prices compare to recent averages, and occasionally how other popular funds are performing. The system runs many variants of these recipes in parallel and watches which version would have done best in the past and, crucially, how it would have performed out-of-sample (on data not used to build the recipe). The “frontrunner” picks the best-performing recipe, and money is allocated to the assets that recipe says are best. The positions are typically exposures to levered ETFs (e.g., TQQQ for Nasdaq bets, SPXL for broad-market bets, TECL for tech, SOXL for semis) and may include hedges (UVXY, VIXY) or short-side plays (SQQQ) and rotations into safer assets (TLT, LQD, AGG, BSV, SPLV, UUP, etc.). The aim is to maximize upside while keeping risk in check via overlays and drawdown filters. The strategy emphasizes out-of-sample discipline and uses a broad, multi-armed approach rather than a single fixed signal. Note: this is a high-level description; actual implementation involves many interlinked conditional checks and weights across dozens of assets and signals.

Out-of-sample edge: ~17.5% return vs 15.2% for the S&P, with Calmar ~1.20, signaling solid risk-adjusted upside. Leverage-rotation bets aim for higher upside while hedges and safe-asset overlays manage drawdown.