A dynamic, rules-based rotation that blends leveraged growth bets, volatility hedges, and cash-like safety, guided by momentum and volatility signals to chase upside while moderating drawdowns.

A layman-friendly explanation of the mechanics follows. The model constantly checks a large set of signals on many ETFs and index proxies. It then decides two big things each period: (1) which major family to lean toward (the Rotator family for growth or the Bear Market family for safety, plus overlays like Bear Market Protection and QQQ-Since-2007 for longer-term bias), and (2) how to split exposure among sub-choices within those families. The Rotator family tends to pick a single, relatively less-volatile or higher-motential asset from a group of growth/volatility-related ETFs (eg QQQ, TQQQ, TECL, QLD, PSQ, QID, SH, IEF, BIL, etc.) using a mix of momentum, volatility, and price-trend tests. Key building blocks include: momentum indicators (RSI), moving averages, current vs. average price, and volatility metrics (standard deviation). When signals indicate risk is elevated or momentum is weak, the system shifts toward hedges or cash in a predefined 70/30 balance between Rotator exposures and defensive/cash-like assets. The model layers multiple decision trees and “filters” to pick the best candidate for the moment (for example, choosing the least volatile among a set of volatility-related ETFs, or selecting the top/bottom performer by a short window). It also embeds crisis-style overlays (Bear Market Sideways Protection, 2008 Edition) that push toward de-risking during stressed markets. The result is a dynamic allocation that frequently rotates among growth-oriented bets, hedges, and safe assets, rather than holding a single static mix. Important caveats: this is a complex, data-driven framework with leverage and many moving parts; real-world performance depends on data quality and timing; levered ETFs magnify both gains and losses; past backtests do not guarantee future results; and costs/fees or slippage can affect outcome.

Dynamic, rules-based rotation blends growth bets with hedges and cash-like safety. Low out-of-sample beta (~0.57) and Calmar (~0.62) offer diversification and risk-managed upside vs the S&P 500, with crisis overlays for turbulence.