A large, rule-based toolkit that rotates among ETFs by momentum/strength signals, with built-in cash and volatility hedges. It uses many lookbacks (RSI, moving averages, cumulative returns) and selects top/bottom performers within groups to build a diversified, tilt-driven equity portfolio with volatility hedges.

- Think of it as a toolbox of many small trading ideas. Each idea says: if certain signals are true for a particular asset (like UVXY, SPY, QQQ, or other ETFs), then give that asset a weight in the portfolio. - The signals come from simple math rules: is price higher than a recent moving average? is the asset showing momentum or strength over a window of days? is the asset’s recent performance above or below another asset? Are volatility hedges acting as a warning sign? These are evaluated with a mix of lookback periods (10 days, 21 days, 200 days, etc.). - Assets are often grouped and filtered in “top” or “bottom” lists (for example, pick the top 3 performers by moving-average-return) and then allocated to (or rotated into) the portfolio. - There are explicit cash allocations to dampen risk and to ensure the total exposure doesn’t explode; some nodes say “weight 100/100” (fully invested in a subset) while others keep cash at a fixed share of the portfolio. - A recurring theme is hedging volatility exposure (UVXY/UVIX/VIX-related ETFs) and steering toward hedges (bonds, cash) when volatility is high; at other times, the rules tilt into equity exposure (SPY/QQQ/others) when signals look favorable. - One branch even uses a specialized comparator against a known ETF (KMLM) and a factor like XLK to decide tilt, illustrating a flexible, ticker-level gatekeeping mechanism. - The overall objective is a diversified, tilt-balanced, rule-driven equity portfolio with built-in volatility hedges and sector/asset-class rotation, not a single indicator-based signal.

Out-of-sample tested, this rule-based ETF rotation with hedges targets steadier gains and stronger risk-adjusted returns than the S&P 500. It blends momentum signals, cash buffers, and volatility hedges to dampen drawdowns.