A volatility-first, signal-filtered picker of five assets from a tech/levered universe, rebalance daily, with near-equal weights. It targets sharp, volatile moves using RSI and moving-average signals to screen entrants.

Here's how it works in plain language: - Start with a curated list of assets (stocks and levered/related ETFs). Exclude assets that conflict with other portfolios. - For each asset, run simple checks based on momentum indicators: one key rule looks at RSI over a 14-day window and flags an oversold condition (RSI below 30). If that condition hits, the asset becomes a candidate. - If the RSI condition isn’t met, the strategy checks other signals using how the asset’s price compares to a related tech ETF’s moving average or RSI (e.g., VGT and others) to decide if momentum is favorable. There are fallback checks that involve related bear/bull levered ETFs in some scenarios. - From all assets that pass these entry checks, measure how volatile each has been over the last 14 days (14-day standard deviation of returns). - Pick the five most volatile assets and invest in them with roughly equal weights (the design uses equal-weight mechanics within the chosen list). - Rebalance daily to reflect new signals and volatility rankings.

Volatility-first, rules-based five-asset picker in tech/levered stocks. Out-of-sample return ~46.8% vs SPY ~25%; Calmar ~1.73 and Sharpe ~1.31. Be aware of higher drawdowns (~27%) in down markets.