A daily-rebalanced, multi-asset, rule-based portfolio that blends trend signals with aggressive hedges and regime-aware controls to try to grow in favorable markets while protecting against drawdowns across stocks, bonds, commodities, gold, currencies, and volatility proxies.

- The strategy splits money across broad asset groups (Equities, Bonds, Commodities/Real Estate, and a few defensive/hedge blocks). Each group contains a list of ETFs (stocks, bonds, gold, dollar bets, hedges, etc.). - Each day, it computes signals for each ETF using momentum and risk measures (for example, price momentum over recent windows, comparisons of current prices to moving averages, relative strength indices, and volatility measures). - It then picks the strongest assets within each group (for example, the top 2–4 by a specific signal) and assigns weights to those assets within their group. Some groups are heavily tilted toward equities when signals are favorable, others lean into bonds or commodities when risk is rising or inflation/rates dynamics change. - In addition to the core equity/bond/commodity allocations, the system deploys hedges and inverse/leveraged positions (for example SQQQ, SDS, TBF, TMV, BTAL, VIX-related funds, USDU, etc.) to dampen drawdowns during drawdown regimes or to profit from volatility spikes. - There are explicit regime-based modules (risk-on / risk-off, rising rates / falling rates, crash protection, recessionary defensives) that push assets into defensive corners (short-term Treasuries, cash proxies like BIL, defensive sectors like XLP/XLF) when conditions deteriorate. - The portfolio is rebalanced daily, re-evaluating all screens and weights, so the composition can shift quickly with changing signals. Some variants label specific sub-portfolios (for example Adaptive All Weather, Sandy’s variants, BAB/beta-hedge structures, etc.), with particular emphasis on balancing trend exposure with hedges and with a cash-like or USD exposure sleeve when warranted. For a lay reader: think of it as a big, rule-based recipe that tells you where to place bets (which ETFs) across stocks, bonds, gold, and hedges, and to adjust those bets every day depending on what the signals say about momentum, risk, and regime one day at a time.

Out-of-sample, this strategy delivers stronger risk-adjusted returns than the S&P. Sharpe ~1.48 vs 1.18, max drawdown ~10.7% vs 18.8%, Calmar ~1.66, with diversified hedges and regime-aware risk controls for steadier, downside-protected growth.