A daily, rules-based multi-sleeve portfolio that blends inverse-volatility risk balancing, defensive market signals, momentum in commodities and broad markets, and a tail-risk hedge. It tilts between gold/hedges, defensive sectors (XLP/XLU/XLV), commodities, and broad market/exposure ETFs, with several signal-driven layers (including a KMLM threshold) to decide when to lean into or away from risk. The goal is to balance risk while attempting to participate in uptrends, using automated, diversified asset choices across equities, gold, crypto proxies, and commodity/sector ETFs.

- The strategy runs every day and looks at a large set of ETFs. It builds a few sleeves or sub-portfolios that determine how much money goes to each asset. The main sleeves are: 1) Bil Balancer: uses inverse-volatility rules to tilt toward steadier assets like gold or hedged funds, with a small safety net that can switch to a tail-risk hedge if a short-term condition is met. 2) Inverse-Volatility Ballast (Inv Vol Ballast V4 SBT): another risk-balancing layer that treats volatility as a guide: less-volatile assets get more weight. Within this sleeve, it splits into defensive assets (XLP, XLU, XLV) and commodities (PDBC, XME), with momentum tests that decide when to tilt toward or away from these groups. 3) Signal layers for XLP and XLU (Gobi): several signal groups look at how XLP and XLU have performed recently versus the market (and against a threshold like KMLM). If momentum and returns look strong, the sleeve tilts toward these defensive ETFs; if not, it reduces exposure or shifts to other parts of the portfolio. - The allocations are rebalanced daily, meaning the system recalculates weights and buys/sells accordingly. - The aim is to maintain a balance between protection during downturns and participation in uptrends, using a blend of risk-parity ideas, momentum, and defensive tilts. - In plain words: think of a smart, rule-based mix that tries to keep risk steady by favoring calmer assets when markets get rocky, while still trying to capture gains when trends look favorable, and using a tail-risk hedge as a safety valve at times.

Out-of-sample, this rules-based multi-sleeve strategy offers better risk-adjusted returns and far lower drawdowns vs the S&P 500: Sharpe ~2.74 vs 2.64, max drawdown ~1.9% vs 5.1%, beta ~0.13, Calmar ~5.25. Diversified, automated hedging.