A high-risk strategy that either bets on a fear spike when markets look overheated, or makes short-term trades in big tech—buying a leveraged fund on the tech giant that just lagged, and shorting tech if none did.

This strategy is a fast-moving big-tech trader. First, it checks whether parts of the market look too overheated using a momentum gauge called RSI, which measures how unusually strong recent price moves have been. If things look too stretched, it moves into UVXY and UVIX, two funds that usually rise when market fear jumps. If the market does not look overheated, it compares Microsoft, Apple, Google, and Nvidia to QQQ (a Nasdaq/traditional big-tech benchmark). It buys a 2x fund tied to whichever stock had a weaker day than QQQ, betting on a quick bounce. If none look weak, it buys TECS, a fund that rises when technology stocks fall.

Out-of-sample, this strategy targets around 41% annualized return vs 16.7% for the S&P, with Sharpe ~0.82. It seeks quick tech mean-reversions and volatility hedges - potentially higher upside, but with larger drawdowns (~66%).