A high-activity, momentum-driven multi-sleeve strategy that rotates among levered equity bets, volatility hedges, and a KMLM-style futures sleeve, with a bond overlay to curb risk. It uses short-term momentum checks to pick a few top assets, adds hedges like UVXY/SQQQ/TZA/LABD, and switches to KMLM under certain conditions. Aimed at aggressive growth with overlays to limit drawdown, but complex and levered, requiring robust data, execution, and risk controls.

- The system runs a layered decision process. At its core, it looks for the few assets that are strongest on short-term momentum signals (roughly using a 10-day window for many checks). If an asset shows strong momentum relative to a benchmark (often named KMLM in the mix), the strategy will allocate to that asset with a full or near-full weight in a “Single Pop” group. - It employs a “KMLM switcher” sleeve that toggles exposure toward KMLM (a managed-futures-like approach) when certain momentum criteria are met, creating a futures-like diversification within an ETF wrapper. When the switch is not active, the strategy leans into levered equity exposures (e.g., TECL/SOXL for tech, UPRO for broad-market bulls, etc.) and sector/alternative exposures (e.g., XLK, XLNX, XLY, etc.). - A separate “Bond Check” block looks at bond proxies (BND, SPLV, TLT, LABD, SPLV-family) and uses those signals to determine if risk should be reduced via bonds or if it should tilt toward hedges such as UVXY or other volatility hedges. The bond check often sits as a gate, altering the exposure to shorts or to less-risky sleeves when bonds look comparatively strong or weak. - Short hedges and volatility plays (UVXY, VIX-related products like VIXY, VXX, etc.; SQQQ/TZA as NASDAQ/Small-Cap hedges, and LABD as a biotech bear) are used to protect the portfolio when momentum turns sour or when regime signals indicate rising volatility. The model uses explicit swap-paths: if SQQQ signals rise, the routine may shift toward TZA, and if biotech weakness emerges, LABD may be added. - A hierarchical set of groups (“Pop Bots,” “Subs,” “GBTC | AutoTuned | 5x,” “US | AutoTuned | 5x,” etc.) creates multiple sleeves each with its own rules and weights, and the system chooses among them based on the latest signals. The “pops” often select a very small number of assets (sometimes just one) for the main exposure, while other groups overlay hedges or diversify across risk elements. - Tuning and risk controls are baked in: weights often sum to 100, and many blocks require top/bottom RSI comparisons, relative-strength checks against KMLM, price vs moving-average conditions, and cross-asset momentum screens. Overall, the approach blends momentum-based rotation, leveraged-long bets, hedges, and a managed-futures overlay to target higher upside with risk-managed hedges. It’s best understood as a sophisticated, multi-sleeve, regime-aware strategy that trades a broad ETF universe with frequent rebalancing and a strong emphasis on hedging via volatility and bond signals.

Out-of-sample tested and regime-aware, this momentum-driven strategy rotates levered longs, hedges, and a managed-futures overlay. It targets higher risk-adjusted returns with drawdown protection versus the S&P 500 across market regimes.