A daily, rules-based tactical strategy that uses momentum and trend signals to select among Nasdaq/tech-leveraged ETFs, with explicit sideways-market deleveraging rules and cash protection to manage risk.

- Every day, the model looks at a menu of ETFs tied to Nasdaq-100, technology, semiconductors, Dow, and broad-market indices, including some inverse/volatility options. - It uses momentum signals (RSI) to gauge whether an asset has recent strength or is oversold/overbought, and it uses price vs. a long-term moving average to judge the market’s trend (is it generally going up or not). - When signals agree that there is a clear uptrend, the system tends to place a bigger, often leveraged, long exposure to participation assets like TQQQ, TECL, SOXL, UPRO, or QQQ, sometimes with targeted weights (e.g., 40% of the risk budget to a single asset) while keeping the rest in cash or other hedges. - If signals suggest a choppy or down regime (sideways market or Nasdaq weakness), the system leans toward deleveraging, shifting toward cash, or into less volatile assets and inverse hedges (like SQQQ or PSQ). - It incorporates multi-layer checks (e.g., top momentum picks, market breadth via RSI, cross-checks with S&P/QQQ price relative to moving averages) to decide which asset to own and how much to own, and it rebalances daily based on the latest data. - The design includes explicit risk-reduction blocks labeled for de-leveraging in Nasdaq-dominant crash territory and sideways-market conditions, reinforcing capital preservation during uncertain periods. - The overall intent is to capture momentum-driven upside with a built-in capability to step back quickly if the market ceases to trend or shows high risk; this comes at the cost of more frequent trading and higher complexity than a simple buy-and-hold strategy.

Out-of-sample, this tactical momentum strategy offers superior risk-adjusted gains vs the S&P: Sharpe ~1.43 vs 1.42; Calmar ~1.65; annualized return ~95% vs ~23%. It hedges and de-risks in chop while riding tech uptrends.