A daily-rebalanced, rules-based strategy using RSI momentum on big indices to switch between leveraging equity exposure and volatility/hedge positions, with occasional bond/gold hedges; aimed at not selling in rising markets but using hedges to capture volatility-driven moves.

Plain-language description of the logic: - The system watches several well-known ETF codes (for example, SPY and QQQ represent broad US markets; UVXY and VIXY are volatility bets; TQQQ and SQQQ are leveraged/ inverse bets on the Nasdaq; PSQ is inverse on QQQ; SHY/BND are short-duration bonds). - It uses a momentum gauge called RSI to see if prices have moved up too fast (overbought) or down too fast (oversold) over short periods. - If the momentum on a key index is very strong (RSI is high, e.g., above about 80), the model moves into volatility-related positions (UVXY or VIXY) to capture sharp moves or hedge against a sudden pullback. If other parts of the rule set allow, it may also shift into aggressive equity bets (like TQQQ) in favorable setups. - If momentum is not signaling extreme conditions, the system can stay with or switch to traditional equity exposure (SPY, QQQ) or even take inverse exposure (SQQQ, PSQ) when the market looks extremely overbought or oversold in specific contexts. - There are deeper branches that compare bond-related momentum (e.g., short-term vs longer-term bond proxies) to help decide whether risk is elevated and hedges should be used, or whether to preserve equity upside. There are also mentions of gold proxies as potential diversification in a few branches. - The plan rebalances every trading day, adjusting which assets are held based on the latest RSI signals and the nested conditions. The overarching idea is to ride momentum but have hedges ready when volatility or downturns appear.

Out-of-sample, this strategy targets much higher upside than the S&P 500 (about 49.6% annualized) using RSI momentum and volatility hedges, with a Calmar ~0.82. Expect higher drawdowns in stress, but potential for stronger growth.