A daily-rebalanced, rule-based strategy using a large set of leveraged and inverse ETFs to chase momentum across tech/semi, volatility hedges, and macro risk-off vs risk-on setups, with defensive overlays and ARK-theme elements.

Plain-language description of how the strategy makes decisions and allocates: - The system runs daily and builds several “baskets” (groups) of assets. Each basket has a theme (for example, tech/semiconductors, defensive or risk-off, ARK-related growth ideas, or volatility hedges). - Each asset in a basket is a levered or inverse ETF (for example, UVIX is a bet on rising volatility, SOXL is a 3x bet on semiconductors, TECL is a 3x bet on technology, QQQ/XQ combinations, etc.). Stocks and bond proxies appear as reference points (e.g., SPY for broad market, TLT for long-term bonds) to gauge the macro trend. - Signals are computed using simple momentum-style rules and basic indicators (the tree uses criteria like relative strength vs. price moves and moving averages). For illustration, RSI-like checks and moving-average-price comparisons are used to identify whether a given ETF is in an overbought/oversold regime or whether its price trend is favorable vs a baseline. - The tree terms like bottom/top, moving-average-return, and cumulative-return indicate ranking and selection steps: among candidates, pick the strongest or weakest by a given metric, and then weight them. - Weights are typically 100/100 (full allocation) when a pick is made; otherwise a hedge or cash is held. - The strategy includes risk-off legs (defensive/contra-direction bets like TMV, TMF, SQQQ, UVIX) intended to protect during drawdowns, and risk-on legs (bull Techn/semis LETFs like TECL, SOXL, TQQQ, SPXL, UPRO) to participate in rallies. - Groupings like “Defense | Modified” or “Ark Baller” indicate thematic blocks used to diversify exposures and hedge risk. - The rebalancing is daily, so the basket composition can shift with changing momentum signals and macro indicators. - The approach is deliberately complex and layered, designed to adapt to different market regimes by combining momentum signals with hedges and defensive allocations across multiple asset classes and sectors.

Dynamic, rule-based rotation of leveraged/inverse ETFs with defensive hedges. Out-of-sample: ~27.6% annualized return vs S&P 23.7%; Calmar ~0.65. Captures upside in diverse regimes with risk controls, but carries larger drawdowns (~42%).