Hosts Liz and Jenny analyzed sector ETF correlations and options performance, discovering that popular sector ETFs show remarkably low correlation with each other (mostly near zero), making them effective diversification tools. The study examined XLE (energy), XLK (technology), XLF (financial), XLV (healthcare), and XLU (utilities), finding that financials demonstrated the strongest intersector correlation while utilities showed the weakest due to interest rate sensitivity. Testing 45 DTE, 16 Delta strangles across all sectors revealed consistently high success rates (72-84%) that exceeded theoretical expectations and closely matched SPY performance. The research reinforced the strategy of trading ETF baskets when individual stock IVR drops, as premium levels showed weak correlation with success rates, suggesting sector fundamentals matter more than volatility pricing for strangle performance.