I’ve been running Finviz screens for high-beta and low-volatility ETFs, and the data consistently points to a single conclusion: the low-vol selection is more reliable for actual portfolio construction

I’ve been running Finviz screens for high-beta and low-volatility ETFs, and the data consistently points to a single conclusion: the low-vol selection is more reliable for actual portfolio construction. In 2024, the average low-vol ETF showed a beta around 0.7, while high-beta equivalents hovered near 1.4, but the real difference shows up in drawdown control. When the S&P 500 dropped 10% in a quarter, the high-beta group fell roughly twice as much, but the recovery was not proportionally faster. This matters because Finviz’s screening tool lets you filter for beta and standard deviation, but the raw numbers often mask sector concentration risk. You have to check the top holdings manually, or you’re just buying a concentrated bet disguised as a risk-managed fund.

The high-beta screen tempts you with higher upside potential, but the volatility drag is real. A 2% expense ratio on a high-beta ETF, combined with tracking error versus its benchmark, can eat into returns over a full market cycle. The low-vol screen, by contrast, tends to hold more defensive sectors and often includes a dividend component that smooths total return. In 2024, some low-vol ETFs actually posted positive returns while the broader market was flat, but that’s not a pattern you can bank on repeating. The key is using Finviz to compare not just beta and standard deviation, but also the three-year return versus the five-year, to see if the low-vol profile is durable or just a recent fluke.

My judgment after running these screens across multiple periods is that high-beta ETFs work better as tactical trades, not core holdings. If you’re using Finviz to build a watchlist, start with a low-vol screen, then layer in a high-beta overlay for opportunistic entries. The tool lets you save custom screens, which is useful for tracking how these categories behave across different market regimes. Just remember that past performance, even when screened for low volatility, doesn’t guarantee future results, but it does give you a data-grounded starting point for your own skepticism.