A highly multi-faceted, rule-based, daily-rebalanced strategy that blends leveraged equity exposures with volatility hedges and mean-reversion bets to chase upside while protecting against spikes in risk.

- It divides your money into many small bets (blocks) across different ETFs. Some blocks tilt toward stocks (including leveraged versions like QQQ-related and SPY-related funds), others hedge with volatility or anti-beta funds, and others look for mean-reversion opportunities. - Signals come from simple indicators that compare price to recent trends and momentum over several time frames. Examples include how strong a price move is compared with recent history, or whether a stock/ETFs price has recently risen or fallen more than a threshold. - The system looks at several lookback periods (days or weeks) to confirm a signal before it adds or removes exposure. This is intended to avoid reacting to a single day’s move. - It uses hedges to protect the portfolio when risk spikes (for example, volatility-related funds that rise when fear increases) and uses “bear” or short-like positions to dampen drawdowns. - It also uses checks that compare groups of assets against each other (e.g., which sector or factor is strongest) and then allocates more weight to those that pass the tests. - Finally, the system rebalance frequency is set to daily, with explicit weights and asset choices that influence how much capital sits in each ticker. In short: the strategy tries to ride positive momentum in equities and sectors, while systematically layering in hedges and risk controls to guard against sharp drops.

Out-of-sample, this strategy delivers higher risk-adjusted returns than the S&P: Sharpe ~1.20 vs ~1.0, positive alpha, Calmar ~2.14, and ~60.8% annualized return, driven by leveraged exposures with hedges. Higher upside with built-in risk controls.