A complex, daily-rebalanced, multi-asset strategy that mixes momentum/trend signals with hedges (cash/BIL and volatility ETFs) and leveraged bets to pursue growth while trying to limit drawdowns. It rotates among broad market proxies, sectors, bonds, and commodities based on RSI and moving-average signals.

Plain-language view of how it operates: - The system slices capital into many modules, each looking at different signals and assets. On a given day, it computes signals from momentum (how fast prices are rising or falling), trend (is the price above or below a moving average), and volatility cues (are we seeing spikes in market fear?). If a module’s rules say an asset looks attractive, the module suggests buying or increasing exposure to that asset. If a module signals danger (e.g., market is getting choppy or down), it moves capital into hedges or cash to reduce risk. - Signals come from familiar ideas, translated into ETF decisions: - Momentum and trend: If price momentum looks strong (assets are rising and are above their trend lines), the system will tilt toward higher-beta, leveraged ETFs to try to capture bigger gains. If momentum looks weak or the price is near/under its trend, assets get trimmed or hedged. - RSI-like checks: RSI tells us whether something is overbought (hot and likely due for a pullback) or oversold (cool and could rebound). When RSI is very high, the system may switch into hedges like UVXY or VIX-related products or cash. When RSI is low, it may add risk-on bets. - Defensive positions: The system uses BIL (short-term T-bills) or SHY/IEF (treasury ETFs) to provide ballast during rough markets, and it may use leveraged hedges (like UVXY, VIX-related funds) to protect against spikes in volatility. - The approach is intentionally diversified and layered: it doesn’t bet on a single sector or asset. Instead it picks top performers from various groups (tech, energy, bonds, commodities, etc.) and also keeps a defensive sleeve that activates when risk rises. - The daily rebalance means the rules re-run every day and adjust the mix to reflect the current signals and risk conditions. - In short: it’s a big, rule-based puzzle that blends momentum, trend, hedging, and diversification to seek growth while guarding against big market drops. It is not a simple buy-and-hold plan and involves substantial complexity and risk.

Out-of-sample, this strategy shows higher risk-adjusted returns (OOS Sharpe ~1.22 vs SPY ~1.20), lower max drawdown (14.1% vs 18.8%), and a stronger Calmar ratio—growth with downside protection versus the S&P 500.