Another problematic element is that Hims & Hers is scheduled to release its fourth-quarter earnings report next Monday after market close. One would imagine that anything short of a stellar print could be an excuse for stakeholders to continue selling HIMS stock.

For the upcoming disclosure, analysts expect the telehealth specialist to post earnings per share of 3 cents on revenue of $619.08 million. In the year-ago quarter, the company posted EPS of 11 cents on revenue of $481.14 million, beating the consensus target of 10 cents and $470.31 million, respectively.

Overall, while the bottom-line performance has been mixed relative to analysts’ expectations, Hims & Hers generally tends to beat on the growth end. Since 2021, the company has only missed once, in Q2 2025. Still, what investors are looking for now may be supreme performance.

At least as far as the smart money is concerned, skepticism appears to be creeping in.

Volatility Skew Points to Increased Downside Hedging for HIMS Stock

Earlier in December, circumstances appeared to potentially be ripe for a risky but intriguing comeback opportunity. During a 10-week run, three of the weekly candlesticks were positive. Under these circumstances, the historical backdrop suggested that HIMS would bounce higher. That didn’t happen, suggesting that a major sentiment regime shift may have transpired.

Shockingly, over the past 11 weeks, only one weekly candlestick was positive. This situation helps solidify the possibility that HIMS stock is simply in a meltdown mode. As such, I’m not sure it’s wise to attempt to catch falling knives, especially when the smart money is busy protecting its flanks.

Volatility skew really tells the tale. This screener identifies implied volatility (IV) — or a stock’s potential kinetic output — across the strike price spectrum of a given options chain. For the March 20 expiration date, the main focus seems to be on downside volatility protection.

While the immediate strikes near the spot price feature a flat skew, the curvature on the left side (toward decreasing strike prices) rises sharply higher to 300%. The rate of ascent suggests that while the hedging isn’t necessarily panicked, the protective posture is prioritized. Basically, the smart money perceives a higher risk coming from bearish pressure.

On the right side of the skew (toward rising strike prices), put IV is noticeably elevated above call IV. Mechanically, these deep in-the-money (ITM) puts may serve as a synthetic short position, potentially to protect actual long exposure to HIMS stock.

Overall, while smart money traders are pricing in the possibility of some upside convexity, the main goal here is downside mitigation, just in case something snaps. With HIMS stock down more than 51% year-to-date, this posture is very reasonable.

Identifying the Trading Parameters of Hims & Hers Health Stock

While we now have a working understanding of smart money positioning, we still need to translate our findings into actual price outcomes. For that, we may turn to the Black-Scholes-derived expected move calculator. Wall Street’s standard mechanism for pricing options projects that for the March 20 expiration date, Hims & Hers Health stock may land between $12.37 and $19.43.

Where does this dispersion come from? Black-Scholes assumes a world where stock market returns are lognormally distributed. Under this framework, the above range represents where HIMS stock may symmetrically land one standard deviation away from spot (while accounting for volatility and days to expiration).

Mathematically, the model asserts that in 68% of cases, we would expect HIMS stock to trade somewhere within the prescribed range when March 20 rolls around. That’s a reasonable assumption, if only because it would take an exceptional catalyst to push a security beyond one standard deviation from spot.

Still, the main challenge is that we only know how the market is pricing uncertainty. We have not yet determined if that pricing is justified. To uncover this element requires second-order analyses, which take observational data and condition it relative to an empirical anchor.

In essence, we have a classic case of the search-and-rescue (SAR) conundrum. If HIMS stock symbolizes a lone shipwrecked survivor, then Black-Scholes is a mechanism that identified a distress signal that flashed somewhere in the Pacific Ocean. Through theoretical drift patterns, we can establish a reasonable search radius.

However, in a resource-constrained environment, we can’t afford to search the entire area. To get around this dilemma, we need to use probabilistic math to best estimate where HIMS might be found.

That’s where the Markov property comes into view.

Narrowing the Probability Space

Under Markov, the future state of a system depends entirely on the present state. Colloquially, forward probabilities should not be calculated independently but be assessed in context. Using the SAR analogy above, different ocean currents — such as choppy waves versus calm waters — will likely influence where a shipwrecked survivor may drift.

Here’s how the Markov property relates to Hims & Hers Health stock. In the past five weeks, HIMS printed no up weeks, leading to an overall downward slope. There’s nothing special about this 0-5-D sequence, per se. However, this quantitative signal represents a unique ocean current. Thus, any survivor caught in these waters would be expected to drift in a certain manner.

From here, we can apply enumerative induction and Bayesian-inspired inference to best estimate where HIMS stock may end up over the next five weeks. Basically, the idea is to use past analogs of the 0-5-D quant signal and apply it to the current spot price, thereby inductively mapping out a forward distribution.

Philosophically, it must be pointed out that David Hume famously noted that the future is not necessarily compelled by the past. However, if we take this criticism to the extreme, any inductive process — including gravity — would be deemed not logically necessary. My counterargument is that, when it comes to second-order analyses, the Markov property arguably utilizes the fewest assumptions.

If you accept the premise above, we can calculate a likely forward five-week distribution between $13.50 and $17. Probability density would likely peak between $14.50 and $16, thus implying great risk for HIMS stock (which closed at $15.84 on Wednesday).

Given how the smart money is positioned (via the volatility skew), I would probably look at the 16/14 bear put spread expiring March 20. For this wager to be fully profitable, HIMS must fall through the $14 target, which is an aggressive target. If the strike is triggered, the maximum payout would exceed 65%. Breakeven lands at $14.79.

No, it’s not the most generous reward. However, with downside being prioritized, put options have simply accelerated in price. As such, a bear spread helps reduce the net capital required for the trade.

Undoubtedly, the market has also taken strongly to HIMS stock, as evidenced by the security’s 62% year-to-date return. However, the primary concern among both investors and traders is the wildness of the price action. For example, in the trailing month, HIMS is down about 4.5%. In the trailing half-year period, it slipped by 31%. Extreme caution is the order of the day.

To be sure, the investment narrative is difficult to decipher. With a forward earnings multiple of over 81, observers most likely don’t consider HIMS stock to be cheap. That’s not to say that fundamental ratios carry universal truth claims because they don’t. However, some of the key profitability metrics have shown a decline in recent quarters, raising concerns for stakeholders.

Nevertheless, for those who want to speculate on the near-term fluctuations of HIMS stock, there could be an opportunity for data-driven options traders.

Getting Down to the Root of the Issue

Ultimately, trading in the financial markets is a game of probabilities. When you really study the equities arena, you’ll quickly discover that prices evolve around several factors or catalysts, including drift, volatility, regime shifts, feedback loops and institutional flows, to name but a few. Further, random, exogenous events could enter the system and disrupt the paradigm.

Such mechanisms force trading to fall under stochastic process theory. By logical deduction, this kinetic environment that is Wall Street also necessarily means that there is no deterministic component that traders can rely on to navigate the market: no chart patterns, valuation ratios or even macro narratives. At the end, results filter through distributional outcomes, not certainties.

On a related note, the inherent complexity of the market almost certainly means that trading systems that purport to issue exact buy or sell signals — while also providing terminal price targets at a specific point in time — are almost certainly marketing products, not genuine quantitative or mathematical tools.

Still, understanding that trading represents probabilistic frameworks doesn’t help us with an empirical anchor; that is, probabilities must be tied to a measurable event. In the market’s case, the environment is heteroskedastic, which in technical language means that the variance of errors in a model is not constant across all values of the independent variables.

In colloquial language, volatility tends to beget volatility. By logical inference, we can also state that different market stimuli yield different market behaviors or responses.

Perhaps the best way to explain heteroscedasticity in the context of financial trading is baseball. All other things being equal, the harder you hit the ball, the further it will fly. In a controlled environment, if we know the barrel rate — or the quality of contact — we can estimate where the ball will land.

What most traders don’t realize is that, with integrated mathematics, it’s possible to measure the stock market’s equivalent of the barrel rate. However, the analytical process requires a formatting change.

Obviously, HIMS stock or any other security represents a singular journey across time. Such a journey doesn’t lend itself to probabilistic analysis due to the sample size being only one. However, what we can do is iterate or break apart price data into multiple rolling trials or sequences. In the field of statistics, this methodology aligns most closely with sliding-window empirical distribution.

Basically, the idea here is that a non-random environment like the equities market will exhibit patterns across hundreds (if not thousands) of trials. Moreover, certain price points will feature greater clustering relative to other prices, a statistic known as probability density.

As you might imagine, successful trading generally involves targeting profitability thresholds that feature the highest probability density — while also limiting potential opportunity costs. It’s this delicate balancing act that separates sophisticated traders from those betting blindly on vibes and emotions.

Drilling into the Trading Mechanics of HIMS Stock

Using a bespoke algorithm called trinitarian geometry, which combines probability theory (Kolmogorov), behavioral state transitions (Markov) and calculus (kernel density estimation or KDE), the projected 10-week returns of HIMS stock can be arranged as a distributional curve, with outcomes ranging between $38.65 and $39.62 (assuming an anchor price of $39.20, Friday’s close). Further, price clustering should occur at about the same price as the anchor.

The above assessment aggregates all trials since Hims & Hers’ public market debut. However, we’re interested in the current quantitative signal, which is the 3-7-D sequence; that is, in the past 10 weeks, HIMS stock printed three up weeks and seven down weeks, with an overall downward slope. Following this setup, the 10-week distributional outcomes shift conspicuously, with likely results ranging between $38 and nearly $41.

Primary price clustering occurs at around $39.30, which admittedly isn’t that much different from the baseline cluster. However, the probabilistic mass associated with the 3-7-D sequence is much bigger and leans toward the positive end of the spectrum. As such, secondary clustering exists just short of the $40 level.

What’s fascinating here is not only the calculation of probability but also the calculation of probability decay. Between $39.50 and $40, the probability density drops by 22% on a relative basis. However, at $40, density is still robust, meaning that there’s statistically a decent chance that HIMS stock will land there over the next 10 weeks.

Move the lever to $40.50, though, and the density drops exponentially, to the tune of 87.57% relative to $40. In other words, $40 represents the transition point where the price target exponentially turns from realistic to unrealistic.

For the high-IQ trader, you would buy the part of the distributional curve that is statistically feasible — and then sell the part that is unfeasible.

Based on the current market situation, the most aggressive options strategy to consider is arguably the 39/41 bull call spread expiring Jan. 16, 2026. This wager requires two simultaneous transactions: buy the $39 call and sell the $41 call, for a net debit paid of $105 (the most that can be lost).

If HIMS stock rises through the second-leg strike ($41) at expiration, the maximum profit is $95, a payout of over 90%. Of course, the $41 target represents a very low probability event. Still, the breakeven point for this trade is $40.05, which is right before probability decay worsens exponentially.

As such, this trade has a decent chance of breaking even and allows the speculator to reach for the higher target while minimizing potential opportunity costs.