A paper in the Journal of Financial and Quantitative Analysis, published in 2016 using data from the Lipper TASS hedge fund database from 1994 to 2010, found that hedge funds using technical analysis outperformed non-users in high-sentiment market periods, with lower risk and better market-timing ability. In low-sentiment periods, the advantage disappeared or reversed. The implication is that technical analysis works better when markets are trending and driven by momentum, and less well when they are choppy or driven by mean reversion. Funds that understood this distinction and adjusted their reliance on technical signals accordingly outperformed those that applied it uniformly.

The UCharts analysis of institutional trading behavior from July 2026 described this precisely: institutional trading desks use price action, volume patterns, and chart structure. At institutional sizes, where the cost of executing a large order is significant, the marginal alpha from pattern-based signals rarely justifies the complexity.

Indicator stacking, where a trader requires five different indicators to align simultaneously before taking a trade, produces so few qualifying signals at institutional scales that it has no practical use. (From a Medium article behind a paywall)