A daily-rotating, risk-on/off system that largely bets on leveraged tech (TQQQ) but pivots to hedges (UVXY/SQQQ) or cash (BIL) based on momentum and volatility signals, plus a separate safety-rotation path to one safe asset when risk spikes.

How it works in plain language: - Core idea: daily, rule-based switching between a high-risk levered tech plan and safety hedges, with cash when risk is high. The plan mainly uses TQQQ (a 3x levered bet on tech), but it adds hedges (UVXY, SQQQ) and cash (BIL) depending on market signals. - Signals come from a mix of indicators and lookbacks, including short-term momentum (how well TQQQ or QQQ has performed recently), overbought/oversold moods (RSI-style checks), and simple performance since yesterday or over a few days (cumulative return). It also compares bonds vs stocks to gauge risk appetite (e.g., BND/IEF vs SPY/QQQ). - Rough flow: (1) check if short-term tech momentum is very strong or very overbought; if yes, deploy cash or hedges; (2) if momentum is weaker or volatility spikes, shift toward hedged or cash positions; (3) in a “normal market” path, allow a diversified but still aggressive posture by combining QQQ proxies, bonds, and cash; (4) a dedicated “Safety Rotator” path can select a single safe asset (TLT, VIXY, VTI, or XLP) when risk is judged very high. - What each asset does: • TQQQ: aims for big gains if tech stocks rally, but is very volatile and losses can be large if markets fall. • UVXY: bets on rising market fear (volatility) to profit when fear spikes. • SQQQ: inverse-tech exposure, profits when tech falls (short QQQ). • BIL: a cash-like ETF that holds very short-term Treasuries; used when the model wants a safe, near-cash position. • QQQ/SPY/BND/IEF/TLT/VTI/XLP/VIXY/TMF/TQM (some appear in the logic): used for momentum, risk checks, or as alternative exposure buckets (bonds, broad market, consumer staples, etc.). - Decision style: the model uses a mix of thresholds (e.g., RSI-based rules around 10- or 45-day windows, one-day or multi-day cumulative returns, and select top/bottom assets from small groups). These conditions are nested—one rule often only triggers if a higher-level rule is true, creating a multi-layered decision tree. - Risk controls: multiple “max drawdown” or extreme-performance checks exist before committing to aggressive actions; there are explicit cash and hedging steps to avoid “risk meltdown” days. - Rebalance: the plan states daily rebalancing, meaning it reassesses and adjusts holdings every trading day based on the latest signals. - Goal: capture upside in a rising tech-led market while keeping a safety net via cash and hedges when signals turn concerning, with a separate safety path to pick a single safe asset if conditions look extremely adverse.

Tech-led, risk-managed strategy seeks higher upside via levered tech exposure, hedges, and safety rotation. Out-of-sample: ~31% annualized return vs ~19.7% for S&P, but with higher drawdown (~32%).