A daily-rebalanced, rule-based system that selects a single Nasdaq/tech-focused ETF (often leveraging or inverse) based on momentum and RSI signals, after a market-wide check using SPY. It uses a multi-branch decision tree to pick one asset with 100% allocation, aiming to ride tech momentum while maintaining a market-regime filter.

- The strategy looks at a defined set of ETFs that give exposure to Nasdaq tech, semiconductors, biotech, and related sectors, including many that are short (inverse) or 3x leveraged. Examples include PSQ (short QQQ), SH (short S&P 500), TECL (tech bulls), SOXL (semis bull), LABD (bear biotech), LABU (bull biotech), DRV/DRN (bear/bull real estate), URTY (bull small caps), URTY, TMV/TMF (long/short treasury), YINN (China bull), EDC (emerging markets bull), SMH (semiconductors), and others. - A broader market gate checks that SPY (the S&P 500 ETF) is trading above its 200-day moving average. If not, many signals are blocked or default to cash/neutral. This helps avoid buying into a broad market decline. - Each signal cycle runs daily and uses layered conditions to decide whether to enter a position and which asset to buy (or to short). The core logic uses these steps in various branches: 1) Momentum filters: compute very short-term momentum (4-day moving-average return) and rank the candidate ETFs by that measure; pick the bottom asset(s) or top asset(s) depending on the branch. 2) Relative strength and RSI tests: compute RSI on specific tickers over short windows (10- or 14-day windows) and compare to thresholds (e.g., RSI > 75, > 80, or RSI comparisons against referenced tickers like QQQ, TQQQ, SPY). High RSI often signals overbought conditions; some branches trigger or avoid exposure based on these readings. 3) Cumulative return checks: sometimes the strategy looks at short-term cumulative return (e.g., 1- to 5-day windows) to ensure momentum direction aligns with the intended exposure. 4) Position sizing: when a qualifying signal is found, the strategy assigns a full 100% position to a chosen asset (weight 100/100) within a daily rebalance. Some branches create a group labeled “A Better …” which ultimately feeds the same bottom-ranked/RSI-allowed asset set, effectively selecting a single asset to own at full weight. 5) Optional hedges/alternatives: several branches include groups labeled as “A Better QQQ” or “A Better ‘Buy the Dips Nasdaq’” which are alternative decision paths that can still land on a Nasdaq-tech-focused ETF, but with different selection criteria. 6) Final market check: some branches compare current price against the 200-day moving average price, acting as a last filter before committing to a position. - The end result is typically a single ETF with 100% allocation, chosen from a broad tech/ Nasdaq/semiconductor/related universe, with daily rebalancing. The design emphasizes momentum (price trends) and relative strength, while relying on a broad market filter to avoid unfavorable regimes. - What you’re effectively buying is not a single stock but an ETF that tracks a basket of tech- or Nasdaq-related exposures, sometimes including inverse or amplified bets on those exposures, and the exact choice of ETF is driven by a cascade of signals rather than a simple rule like “buy the 10 best performers.” The complexity is intended to adapt to different market conditions and catch both uptrends and, in some cases, protective hedges, though the heavy use of leverage/inverse exposure increases risk and drawdowns if the signals misfire.

Capture tech momentum with a daily, rule-based ETF picker. Out-of-sample annualized return ~72% vs SPY’s ~7–10%, plus strong risk control via a market-regime gate. Higher upside and higher drawdowns (~60%+), suited for risk-tolerant investors.