A rule-based, momentum/trend-driven, multi-asset portfolio using leveraged tech/bull/bear ETFs plus hedges and defensive assets to seek upside while buffering drawdowns; it selects 2–5 assets with weights from a broad universe based on short- and long-term signals and risk checks.

Here's the plain-language view of the logic: - The model starts with a cash baseline and then tries to fill a 2–5 asset portfolio from a big pool of ETFs and leveraged ETFs. - It uses short-term momentum signals (like RSI over the last 10 days) and recent performance (cumulative return over a few days) to rank candidates. - It also checks longer-term trend signals (longer moving averages, e.g., 210-day vs 360-day, and price vs moving averages) to decide if the market is in an uptrend or downtrend. If the trend looks strong, it leans into leveraged bets on tech and related sectors (TECL, TQQQ, SOXL) or other top performers; if the trend looks weak, it shifts toward hedges and defense. - The universe is split into core growth/tech exposure and defense/hedge exposure. Depending on the signals, the system will pick a small number of assets from each bucket and assign weights that sum to 100%. Some branches overweight a single asset (e.g., ~70–100%), while others allocate smaller slices to several assets (e.g., 73/27 split, or 2–5 assets with balanced shares). - Risk controls are baked in via standard deviation/volatility screens, drawdown considerations, and limits on how many hedges or defensive assets get chosen at once. - In practice, if conditions flip (momentum deteriorates, or volatility rises), the model can shift from aggressive tech bets to hedges like SPXS (bear S&P 500), SQQQ (bear QQQ), UVXY (volatility-related), UUP (dollar strength), or safe assets like GLD (gold) and TLT (treasuries). - There is no explicit fixed rebalancing frequency stated; instead, decisions are signal-driven, with weights recalculated as conditions change. The result is a dynamic, trend- and momentum-following mix of 2–5 positions that aims for strong upside when tech/momentum are leadership while providing defense when market conditions deteriorate.

Higher potential upside: OOS annualized return ≈29% vs SPY ≈23%, driven by momentum-based leveraged tech bets and hedges. Dynamic, risk-controlled allocations seek bigger gains with downside protection—bear markets may hit harder.