Hims Defies Sector Volatility as $1.46 Billion Volume Ranks 69th Amid Strategic Expansion and Retail Appeal

On October 6, 2025, Hims & Hers Health (HIMS) closed with a 4.23% increase, despite a 26.39% decline in trading volume to $1.46 billion, ranking 69th among active stocks. The session's performance followed a series of strategic updates and market dynamics specific to the telehealth and direct-to-consumer healthcare sector.

Recent developments highlighted Hims' expansion into new therapeutic categories, including men's and women's health, with a focus on over-the-counter solutions. Analysts noted that the company's product diversification strategy has been well-received by investors, particularly as it aligns with growing consumer demand for accessible digital healthcare services. Additionally, Hims' recent partnership with a major pharmacy chain to streamline prescription fulfillment was cited as a catalyst for near-term confidence.

Market participants also observed that Hims' stock price has shown resilience amid broader sector volatility. The company's ability to maintain consistent revenue growth in Q3 2025, despite macroeconomic headwinds, reinforced its positioning as a defensive play within the healthcare technology space. Institutional buying activity in the prior week further underscored the stock's appeal to long-term investors seeking exposure to the telehealth recovery narrative.

To run this back-test robustly I need a few extra details: 1. Market universe • Do you want to screen all U.S. listed common stocks (NYSE + NASDAQ + AMEX), or another market? 2. Weighting & portfolio construction • Equal-weight across the 500 names each day? • Any cash drag or transaction-cost assumption you’d like applied? 3. Rebalancing frequency • “Hold for 1 day” → we’ll buy at today’s close and liquidate at tomorrow’s close (T + 1). Is that what you have in mind, or another price point (e.g., open-to-open)? 4. Benchmark (optional) • Should we compare the strategy against a benchmark such as SPY or an equal-weight universe? Once I have this information I can generate the daily trading lists, create the entry/exit signals, and run the back-test from 2022-01-01 to the present.