A deeply nested, rule-based system that uses momentum and volatility signals to select a small set of leveraged ETFs (e.g., TQQQ, SOXL) for long exposure, while hedging with volatility and bond instruments. It switches between Bull/Bear/Volatility regimes and applies many safety checks to manage risk, aiming for large upside in favorable markets but with substantial downside risk in stressed periods.

- The strategy surveys a broad set of assets, especially major indices and volatility/leverage tools (for example, SPY, QQQ, TQQQ, UVXY, VIXY, SQQQ, TLT, BIL, TMF, GLD). - It uses a complex tree of conditional tests. At the lowest level, it checks signals such as RSI values, moving averages, and price versus moving averages. When a test passes, it triggers an action (e.g., select a leveraged ETF like TQQQ or SOXL to buy or hold). - The middle layers group tests into market regimes (e.g., Bull Market, Bear Market, Volatility Toggle, Defense/Modified blocks). Depending on the regime, the code changes which assets are favored, how aggressively to allocate, and whether to hedge with volatility or bonds. - Allocation is controlled with weights and filters. The system can choose a small number of assets (often 1–4) from a larger basket, assigning a share of the portfolio to each according to the rules (weighting appears to be in percentages and sometimes set to full exposure for selected assets). - There are explicit hedges and volatility blocks: e.g., UVXY/VIXY are used to hedge or trade volatility, and bonds (TLT, TMF, BIL) are used for risk-off scenarios or to dampen drawdowns. - The overall aim is to ride momentum in leveraged ETFs when signals align, while using volatility and bond hedges to reduce risk in stressed markets. It is highly tactical and multi-signal, not a simple rule like “buy on a single indicator.” - Because the structure is extremely intricate, real-world performance can be very sensitive to data, parameter choices, lookback windows, and the exact sequence of rule evaluations. Investors should approach with caution and understand the risks of leverage and regime shifts.

Out-of-sample, this strategy shows superior risk-adjusted returns vs the S&P: oos return ~63% vs ~28%, oos Sharpe ~2.94 vs ~2.29, Calmar ~11, and hedges that cap drawdowns near 5.7% while seeking strong upside in favorable regimes.