A daily, multi-layer momentum system that dynamically picks the strongest leveraged and hedged ETF bets across tech, semis, biotech, China, and bonds, while using risk checks to pull back into safer positions when signals warn of trouble.

- It runs many separate mini-strategies (modules) that each look for strong recent performance in a set of ETFs. - Each mini-strategy computes signals using simple rules: is price above or below a moving average? is momentum strong? is RSI overbought or oversold? how has this asset performed over the last 10, 15, 50, or 200 days? - Within a group, the system ranks assets by a metric (cumulative return, moving-average return, standard deviation of returns, etc.) and picks the top 1 or top 3. - The selected assets are combined into a portfolio with weights (e.g., 33% to one top pick, 33% to another, etc.). - The engine blends different modules (e.g., “Stock Picker,” “Dip Buy,” “McBallsy BB YOLO Mod”) to form the final exposure, often leaning toward leveraged bets on tech, semis, biotech, and growth names, plus hedges. - There are risk checks that compare asset performance to benchmarks (SPY/QQQ) and consider drawdown, volatility, and macro signals (VIX readings, bond signals). When risk signals rise, the system shifts toward safer legs (e.g., SHY, BIL) or bear/volatility hedges (UVXY, SQQQ, TMV, TMF). - The strategy is labeled daily-rebalanced and aims to rotate into the currently strongest theme while trying to avoid big losses. - It intentionally includes a broad set of asset classes and regions (US equities, tech/semis, biotech, China, EM, bonds, gold, USD) to capture different momentum leaders as conditions change.

Out-of-sample momentum strategy aims to beat the S&P by riding top themes with daily rebalancing and hedges, delivering ~44% annualized vs ~23% for SPY—yet it carries higher drawdowns (~42% vs ~19%).