A complex, rule-based regime-aware strategy that blends aggressive leveraged ETFs for upside with volatility and bond hedges for protection, using RSI and moving-average signals across SPY and a large universe of ETFs to decide daily which asset(s) to hold and how much to allocate.

In plain terms: the system watches several signals to decide whether the market is in a strong uptrend, a noisy sideways phase, or a risky, overheated state. When signals look favorable, it builds a bullish, high-risk position by selecting one or more 3x or double-leveraged ETFs (for example, SOXL for semiconductors, TECL for technology, TQQQ for the Nasdaq, SPXL for the S&P). It favors those that show the strongest trend or best return in recent days and allocates most of the capital to them. If signals flip to caution—such as overbought readings for the S&P, high volatility cues, or weak momentum relative to SPY—it pivots toward hedges and safer assets: volatility proxies (UVXY, VIXY), inverse or bear ETFs (SQQQ, SOXS), longer-duration bond plays (TMV, TMF), or cash-like short-term Treasuries (BIL). The logic uses a mix of indicators (RSI, moving averages, price vs. a benchmark like SPY) and performs relative comparisons across many assets to decide which one looks strongest or weakest. It then rebalances daily, often choosing a small number of assets (sometimes just 1) to carry the core exposure, and weights or sizes the positions accordingly. In short, it tries to ride strong momentum with aggressive ETFs when the market is favorable, but quickly hedges or shifts into defensive bets when risk signals rise. Important caveats: it relies on highly leveraged instruments that can magnify losses, incurs costs from frequent trading, and assumes you’re comfortable with rapid regime shifts and the correlations that come with these products. If you want, I can give a simple, step-by-step example with a hypothetical day to illustrate how a few of the decision blocks would play out in practice.

Adaptive, regime-aware strategy blending leveraged ETFs for upside with hedges for protection. Out-of-sample annualized return ~56.6% vs S&P ~23.5%, with disciplined risk controls but potential drawdowns up to ~73%.