A complex, rule-driven tactical strategy using a big basket of 3x leveraged and inverse ETFs to switch between risk-on stock bets and risk-off hedges based on momentum, trend, and volatility signals. It’s busy, highly levered, and designed for dynamic regime shifts.

- The strategy is a large, nested decision tree that looks for market strength, weakness, and volatility cues every day. - It doesn’t buy a mix of assets at once; it picks the one asset that best matches its current rule set and allocates 100% of capital to that instrument. - Assets are usually 3x leveraged bets on broad market indices, sectors, or risk-on/risk-off proxies; hedges include volatility and bond-related ETFs. - Signals come from price trends (is the price following a long-term uptrend?), momentum (is recent performance strong or fading?), and volatility (is volatility rising, as shown by VXX signals?). - In simple terms, when market signals look favorable for stocks and momentum is strong, the system leans into levered stock exposures (TECL, SOXL, TQQQ, SPXL, UPRO). When signals flip toward risk-off, it pivots into hedges and safer assets (TMF, TMV, SQQQ, VXX, SHY, BIL, GLD). - The code-like structure shows a lot of “IF this, THEN that” blocks with “TOP” or “BOTTOM” selectors, meaning it ranks potential assets by a criterion and then buys the top-ranked one. - The approach is tactical and high-risk, designed to adapt to regime changes rather than follow a long-run buy-and-hold mindset.

Out-of-sample, this levered ETF strategy shows higher risk-adjusted returns vs the S&P 500 (OOS Sharpe ~1.51 vs 1.39; Calmar ~2.60) and higher upside (OOS annualized ~107% vs 23%), but with larger drawdowns.