Dead Simple Always-On Calamity Tax

- The engine scans a large universe of ETFs and levered products. It classifies the current market regime into layers like Bull, Bear, Sideways, and CAOS defenses. - Within the chosen regime, it runs multiple rule trees that score and rank assets based on momentum, trend, drawdown, and relative strength. - Each asset gets a weight; all weights sum to 100%, and the system can hold long exposures (e.g., QQQ, SPY, TECL, TQQQ, SOXL) as well as hedges (UVXY, VIXY, VIXM, BIL, GLD, UUP, USDU, TIP). - Hedge signals (volatility spikes, RSI extremes, moving-average relationships) push allocations toward hedges (VIX ETFs, short-bond proxies) to dampen risk. - The model rebalance cadence appears to be daily, re-evaluating regime signals, liquidity, and risk, then adjusting weights and which blocks to emphasize. - The system also uses risk-filtering metrics (e.g., max drawdown, cumulative return, volatility metrics, and Sharpe-like considerations) to prune or promote candidates within each regime. - In practice you see a mosaic of groups such as CAOS Defense, Bear Market Blocks, Bull Market Blocks, Sideways blocks, and “Frontrunner

Regime-aware diversification with hedges and risk controls, designed to deliver steadier, lower-correlation exposure to the S&P through volatility hedges and defensive assets in uncertain markets.