A multi-layer, rule-based system that toggles between stock exposure, volatility hedges, and safety assets based on momentum and volatility signals, using ETFs such as SPY, QQQ, UVXY, GLD, TMF, USDU, and BTAL to allocate across groups.

What it does in plain terms: - Think of it as a decision tree that chooses among several “modes” (stock-like growth, hedged protection, and safety assets). - When conditions look favorable (positive trends, moderate volatility), it favors trend and bond sleeves to capture upside with some ballast. - When signals warn of stress (volatility spikes or deteriorating momentum), it shifts toward volatility hedges (UVXY, VIX futures) and defensive assets (gold, USD, defensive sector ETFs, short-duration bonds) to limit losses. - Within each mode, it picks specific ETFs and assigns weights based on rules that look at how prices have moved recently (momentum), how spread out or volatile returns are (risk metrics), and how much risk it is willing to take (leveraged vs non-leveraged positions). - The result is a rotating mix of assets designed to chase uptrends while providing protection against sharp downturns. Important caveats: many inputs rely on leveraged or volatility-sensitive funds, which can amplify losses during adverse regimes, and past performance from a backtest does not guarantee future results. It’s a complex system that requires active risk monitoring and a solid understanding of the instruments involved.

Out-of-sample edge: Sharpe 1.73 vs 1.43, annualized return 27.6% vs 22.9%, max drawdown 11.7% vs 18.8%. Higher risk-adjusted upside with built-in volatility hedges and downside protection—outperforms the S&P with lower tail risk.