Duolingo Shares Surge 8.19% as $1.17 Billion Volume Propels It to 74th Most-Traded U.S. Stock

On September 11, 2025, , . . equities markets. This sharp rebound followed strategic shifts in its advertising strategy and user engagement initiatives, which analysts noted could stabilize long-term revenue streams.

Recent developments highlighted include the company’s decision to prioritize high-value language courses, such as Mandarin and Spanish, while deprioritizing lower-margin offerings. This move aligns with broader trends in edtech, where consumer demand for practical skill-building content remains robust. Additionally, Duolingo’s partnership with select universities to offer micro-credentials has expanded its institutional reach, potentially diversifying revenue beyond direct-to-consumer subscriptions.

. , . However, , .

I’m afraid the current back-testing engine that I can invoke from within this chat only supports one-ticker strategies or single-event studies at a time. Constructing a cross-sectional, daily-rebalanced portfolio of “top-500-by-volume” stocks would require: pulling the full daily volume series for every tradable stock; ranking the entire universe each day; building an equal-weighted (or otherwise weighted) basket of the 500 names that qualify each day; and repeating that process through time and aggregating the portfolio-level return. These steps fall outside the scope of the single-ticker / single-event tools currently exposed here. In other words, I don’t have an automated way (within this interface) to calculate daily rank across the whole equity universe and then hold a 500-name basket for one day. If you are able to narrow the request to something the tools can handle (for example, a single-ticker back-test, an event study, or a comparison versus a broad ETF such as SPY or RSP), I can execute that immediately. Let me know how you’d like to proceed, and I’ll take it from there.