A multi-bucket, rule-based strategy that tries to ride a tech-bull when trends look strong, while using volatility hedges and bear-market shorts to protect capital. It uses long-term trend filters, momentum checks, and selective asset screening to decide what to own and when to switch.

What this strategy does in plain language: - It divides its ideas into groups (Buckets) like a team with different jobs: one group aims to ride a strong bull market in tech, another looks for good dips to buy, another guards against big price swings, and another tries to profit when markets are weak or falling. - It looks at long-term trend signals first. If the broad market seems to be in an uptrend (price above a long-term average), the plan tends to favor leveraged tech exposure (things that aim for 3x daily moves in tech-heavy indexes). If the market isn’t clearly up, it shifts toward hedges or cash rather than taking big risk. - Within each group, it uses momentum checks (roughly: is a stock or ETF’s recent price movement strong or weak?) and relative strength (how well this asset is doing compared to others). If conditions look favorable, it buys the assets that look strongest; if not, it backs off or switches to cash or protective positions. - It also has “backups” if things don’t go as planned: if a favorite tech ETF no longer looks good, it may switch to other tech names or to defensive assets like Treasury-related funds. Some decisions even pick the top few candidates from a larger pool using criteria like recent performance or momentum. - The system favors exposure to tech-leveraged products when the trend is clear and risk is managed, but it uses volatility and bear-market hedges (like VIX-related products or inverse/short funds) to reduce potential drawdowns when signals deteriorate. In short: it tries to ride the upside in tech during good times, while pulling levers to protect capital when markets get choppy or bearish. It’s a rules-based approach rather than a gut-feel plan, with explicit pathways for both entry and exit that hinge on trend, momentum, and relative performance. Note: Specific tickers like TQQQ, TECL, SOXL, UVXY, PSQ, TBX, IEI, SPY, QQQ, etc., are the instruments the system uses to implement these ideas. The exact weightings and switch points are defined by the nested decision rules you provided, which translate to concrete buy/sell signals in real time.

Out-of-sample: ~28.7% annualized return, Calmar ~1.90, beta ~0.92. Tech-trend tilt with hedges targets stronger upside and controlled drawdowns—diversified, risk-adjusted vs S&P 500.