A complex, rule-based, multi-asset strategy that uses momentum and mean-reversion signals across many ETFs (stocks, bonds, gold, commodities) to choose which assets to own and how much to weight them. It blends RSI, moving averages, and return histories with hedging rules, updating daily.

- The strategy is organized into blocks (e.g., Main Block, QQQ FTLT SMA, Gold, Bonds, Safe Sectors) that each generate a candidate set of ETF holdings and weights based on a chain of rules. - Signals include RSI (momentum), moving-average-price, moving-average-return, and cumulative return over different lookback periods (e.g., 10, 20, 60, 200 days). - Rules are nested: a top-level condition may require several sub-conditions to be true, and only then is a particular ETF given a weight. - Weights are allocated across many ETFs in percentages that sum to 100% within each block, then combined to form the final portfolio allocation. - The system uses a wide universe (bonds like BND and BIL, cash proxies, equities like SPY/QQQ, sector/tech ETFs like XLK, XLE, XLP, and gold/commodity plays like GLD, GDX, UCO, DBO, etc.), including some leveraged or inverse funds (e.g., TQQQ, TECL, UPRO, PSQ, SQQQ) to express bullish or bearish bets. - Risk controls include “Vol Check” and hedged blocks (e.g., VIX-related logic, 20d/10d RSI crossovers) to reduce exposure in overbought/overextended regimes. - The plan is rebalanced frequently (daily in many blocks) and tests numerous scenarios (Bull, Bear, Oversold, Oversold/Bearish, etc.) to decide which blocks are active. - A notable feature is that the rules mix both trend-following signals (momentum, price vs. moving averages) and mean-reversion signals (RSI thresholds, overbought/oversold checks) to try to time entries and exits more precisely. - The strategy appears to be “Conservative” in some blocks and more “Aggressive” in others, potentially allowing a blended, regime-aware approach depending on which block is currently controlling risk. - Overall, it is a sophisticated, orchestration-heavy approach rather than a single-indicator system, designed to adapt across market cycles by rotating among a broad set of assets. A layperson should view this as a highly automated, rule-driven fund of funds that attempts to multiplex many signals to pick winners while attempting to maintain risk discipline.

Diversified, rule-based multi-asset strategy blending momentum and mean-reversion with built-in hedges and daily rebalancing. Out-of-sample results deliver strong risk-adjusted returns and regime-aware protection versus the S&P 500.