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Ride-the-Wave Strategy – Best for Stock Traders

Ride-the-Wave targets multi-day price momentum following a company’s earnings announcement (EA). With this strategy:

  1. Buy a stock one day post-EA if a stock reacts positively post-earnings:
    1. Near the close of trading the EA-day for a pre-market-EA
    2. Near the close of the following day for a post-market-EA
  2. Sell-to-close after 7-10 days, or possibly earlier if a desired price target is reached

Similarly,

  1. short a stock one day post-EA if a stock reacts negatively post-earnings:
    1. near the close of trading the EA-day for a premarket-EA
    2. near the close of the following day for a post-market-EA
  2. then buy-to-close after 7-10 days, or possibly earlier if a desired price target is reached

Important: Ride-the-Wave is predicated on significant price momentum triggered by an EA. The 7-10 day scenario is the maximum trade hold-time. If you see post EA-momentum is halted or reversed by a significant opposite move, re-evaluate your presence in the trade.

This popular StockEarnings screen below will give you a list of stocks that historically exhibit significant price momentum following an EA for the next seven days:

  1. Stocks exhibiting positive post-EA price moves are buy-candidates
  2. Stocks exhibiting negative post-EA price moves are sell/short-candidates

The screen includes those stocks whose Earnings just came out in last two days.

Screen criteria:

  1. Earnings Date Start Date : Current Date + -1 Day
  2. Earnings Date End Date : Current Date + -2 Days
  3. Predicted Move (Next Day) Max : 7%
  4. Predicted Move (On 7th Day) Min : 7%

Strategy Guideline:

  1. Buy the stock if stock has reacted positively. Short the stock if stock has reacted negatively (see above).
  2. Close the position in 7-10 days, or possibly earlier based on price move.

Volatility Crush Strategy - Best for Options Traders

The Volatility Crush strategy is used with stocks that typically experience relatively low-to-moderate price moves (≤4%) following their Earnings Announcements (EA). The basic trade idea is to sell put or call options right before the EA, collecting a credit when options premium is very high due to elevated implied volatility (IV). You then close the position right after the EA by buying the option back much cheaper due to the significant drop in IV that occurs after the mystery of the EA disappears. In assessing this trade, you need to do your homework to ensure you collect sufficient premium to make the trade worthwhile.

This trade is practical due to the low-to-moderate price-move after the EA, which generally won’t significantly affect the options price, unlike an “action” stock, which experience great price moves post-EA. With these symbols, if you’re on the right side of the price move, that’s a great thing. But if you’re on the wrong side of the move, not so great. Consequently, by minimizing the effect of the post-EA price move, you have a much better chance to profit from the reduction in IV without it being ruined by a violent price move.

For this trade, open the position either (1) the night before the EA when the company announces earnings or (2) during the EA day when it announces post-market, generally capturing IV at or close to its peak.

For this trade, open the position either (1) the night before the EA when the company announces earnings or (2) during the EA day when it announces post-market, generally capturing IV at or close to its peak.

This popular stockearnings screen will give you a list of stocks which do not react more than 4% fpost-EA. It includes only those stocks whose earnings are releasing next day.

Screen criteria:

  1. Earnings Date Start Date : Current Date + 1
  2. Earnings Date End Date : Current Date + 1
  3. Predicted Move (Next Day) Max : 4%
  4. Options Type: Weekly

Strategy Guideline:

  1. Options Strategy: Sell Call and Put
  2. Options Strike Price: Current Stock Price – (% Predicated Move x 2)
  3. Expiration Date: It should generally be the closest expiry immediately after the EA.
  4. Buy Insurance: Buying back Call and Put at Strike price which 10% lower than Sell Strike Price is optional but recommended.

Watch Video for More Detail

Volatility Rush Strategy - Best for Options Traders

The Volatility Rush takes advantage of increasing options premiums into earnings announcements (EA) caused by an anticipated rise in Implied Volatility (IV). With this strategy, Buy a Call and Put at-the-money (a long straddle) 2-3 weeks before the EA when IV is lower. Sell the position either (1) the night before the EA when the company announces earnings pre-market, or (2) during the EA day when it announces post-market, generally capturing IV at or close to its peak.

This popular screen will give you a list of stocks whose Options premiums tend to rise into Earnings. It includes only those stocks whose Earnings are at least two weeks away from today.

Screen criteria:

  1. Earnings Date Start Date : Current Date + 15 Days
  2. Earnings Date End Date : Current Date + 30 Days
  3. Predicted Move (Next Day) Min : 5%
  4. Options Type: Weekly or Monthly if that lines up with the two to three-week lead-time for entering the trade

Strategy Guideline:

  1. Buy a Straddle at or close to the money two to three weeks pre-EA.
  2. Sell the position either the night before the EA when the company announces earnings pre-market, or during the EA day when it announces post-market.
  3. Expiration date should generally be the closest expiry immediately after the EA.
  4. Straddle price should not be more 60% of predicted move.

Predicted Move (Volatility)

Similar to Implied Volatility in Options. Expected volatility % based on our Proprietary Volatility Predication Model. We are expecting that stock price will likely to reach % in either direction by the end of next trading session after Earnings are released and not necessarily the closing volatility %.

Why is it important?

    This indicator helps

  1. Knowing expected volatility in stocks after Earnings helps to decide trading stocks before Earnings Announcement.
  2. Taking Advantage of volatility collapse following Earnings Results by using Advance Options strategies such as Spread and Straddles.

Since Last Earnings

Change in share price since last Earnings release.

Why is it Important?

When share has gained more than 10% since it's last Earning release, it tends to over react to minor bad news and give up some gains if not all. So, it contains more downside volatility than upside When share has dropped more than 10% since it's last Earning release, it tends to over react to minor good news and recover some drops if not all. So, it contains more upside volatility than downside.

EPS Surprise (%)

Occurs when a company's reported quarterly or annual profits are above or below analysts' expectations. Here is the formula to derive % EPS Surprice:

Actual EPS - Estimated EPS
------------------------------------- x 100
Estimated EPS

Why is it Important?

Earnings surprises can have a huge impact on a company's stock price. Several studies suggest that positive earnings surprises not only lead to an immediate hike in a stock's price, but also to a gradual increase over time. Hence, it's not surprising that some companies are known for routinely beating earning projections. A negative earnings surprise will usually result in a decline in share price.

Next Day Price Change (%)

Next Regular trading session Closing price following Earnings result.

For After Market Close Earnings, It is a next trading day closing price. For Before Market Open Earnings, It is the same trading day closing price.

Why is it Important?

Next Day price change is a reaction of Earnings result.

UnitedHealth (UNH) Stock Could Make for a Surprisingly Robust Options Trade

Posted on Aug 27, 2026 by Joshua Enomoto

UnitedHealth (UNH) Stock Could Make for a Surprisingly Robust Options Trade

When it comes to options trading candidates, it’s easy to overlook UnitedHealth Group (NYSE: UNH). As a health insurance and healthcare services specialist, there’s not much to be excited about. Sure, UNH stock is an important blue chip, as it undergirds one of the biggest names within the overall wellness industry. However, it’s not a volatile ticker, featuring a pedestrian 60-month beta of 0.62.

In other words, those who are buying UNH stock can expect the equity to have less than two-thirds of the typical volatility found in the benchmark S&P 500 index. Sure, such a low-mobility stock can inspire confidence for long-term investors seeking to safely park their funds while collecting a solid dividend. However, when you consider that its five-year performance is a loss of 5.29%, it’s easy to lose patience.

That’s why retail traders generally prefer hot tech names. Of course, you’re often dealing with a higher-beta play, which can be a double-edged sword. At the same time, the common allure is that if you happen to time the security correctly, you could make off like a bandit. Typically, you’re not doing that with UnitedHealth stock.

However, because options — particularly debit spreads — allow traders to leverage incremental gains, you don’t necessarily need robust mobility to make a trade work. Instead, the focus is on probabilities. But even here, there’s a catch.

Essentially, UnitedHealth stock enjoys natural upward bias. Yes, like any other enterprise, UnitedHealth is subject to controversies. Further, the current political environment — where rising costs of living and questions about the sustainability of domestic healthcare — impose acute pressures on UNH. But because health is such a vital concept, the ticker is unlikely to fade into irrelevance.

Understanding this, the whole premise of positive mean reversion is arguably more credible. Technically, UNH stock is down 5% in the trailing month. Quantitatively, it has only printed three positive weekly candlesticks over the last 10 weekly sessions.

Still, this structure is exactly what makes UnitedHealth so attractive for aggressive speculators.

Arguing Against the Random Walk Framework of UNH Stock



If mean reversion were to become a reality, I would anticipate over the next four weeks a lift of about 3.6% from Tuesday’s closing price of $396.59. I’ll go into the reason why I believe this. But assuming that this forecast is true, the 400/410 bull call spread expiring Oct. 16 would look attractive.

For this trade to be fully profitable, UnitedHealth stock would need to rise above the $410 strike at expiration. Doing so would convert the $485 net debit paid (cash outlay to enter the trade) into a $515 profit, a payout of over 106%. That may sound attractive but there’s a catch here: the probability of profit (breakeven) at $404.85 is set at 42.9%.

What’s even more challenging, the probability of UNH stock hitting the $410 second-leg strike at expiration is only 38.48%. That’s not great for obvious reasons because, over the theoretical long run, you would be losing more times than you would be winning — and by quite a margin.

unh-StockEarnings

In financial lexicon, the Oct. 16 400/410 bull spread would likely suffer from negative expected value (EV). Therefore, the more rational course of action would be to avoid the proposition altogether.

Of course, there are no guarantees in the equities market. It’s also fair to point out that options tend to exacerbate uncertainty due to the enhanced leverage. Therefore, walking away is an entirely reasonable idea.

However, it’s also fair to question where these probabilities come from. Basically, they’re derivations from the Black-Scholes family of options-pricing formulas. Without getting mired into the math, this framework assumes that UNH stock will undergo a random walk between now and the expiration date, with the current implied volatility (IV) providing the constant fuel throughout the journey. Stated differently, Black-Scholes offers implied probabilities from an artificial, risk-neutral world.

I don’t think it’s controversial to state that this assumption isn’t necessarily correct; rather, it’s a presupposition. Of course, to move an argument forward, a proposal needs to start with a presup. So, why do we then have to assume that a forward-looking model must incorporate random behavior?

A Nonrandom Presupposition Opens Doors for UnitedHealth Stock

Using Black-Scholes exclusively to trade options is a lot like assuming your particular religious belief is the truth. Don’t get me wrong — it could be the truth. However, if you’re really an open-minded person (a meta-thinker if you will), you would consider other religious and theological viewpoints. It’s the same principle with the equities market.

Frankly, it may not behoove you to frame UNH stock in exclusively random-walk terms. Instead, you should also consider the possibility that UNH will undergo a nonrandom walk. And I think there’s a very good reason for this.

As I stated earlier, UnitedHealth stock printed only three up weeks over the last 10 weeks, leading to a downward slope across the period. This 3-7-D quant signal is clearly bearish at face value. But historically, whenever this signal flashed, select periods over the subsequent 10 weeks have generated above-average performance metrics.

Since January 2009, the 3-7-D signal has flashed a total of 24 times. Of this tally, UNH stock has risen above the equivalent of the $410 strike price at the end of week 8 (Oct. 16) 13 times. To be fair, the sample size of n=24 is small. Nevertheless, the observed, conditional probability whenever UNH has flashed the above signal is 54.2%.

You don’t need to be a math whiz to understand that this is a much higher probability than 38.48%. Still, this raises the question: which model — the random Black-Scholes or this nonrandom Markov-chain-derived framework — is better?

Defending the Case for Nonrandomness

Honestly, there’s no way that I can say with certainty which model is better. Moreover, because UNH stock is so sedate relative to the S&P 500, there is a case to be made that in the long run, the performance quirks under various circumstances may indeed be random (or reflect random-like behavior).

Nevertheless, I do believe there’s a case for localized nonrandomness. That’s because even if UnitedHealth stock is a low beta name, institutional investors may still see value when a high-quality name suffers an extended downturn. Since it’s difficult to see a future where there are no healthcare services provided, UNH does seem a safe-ish bet.

Now, it is still a wager and adding an options element to a stable name naturally introduces risk. However, because extended downturns are so rare for UNH stock, I would argue that the subsequent trading for the ticker will be anything but random. That doesn’t mean the above call spread will be profitable but I think there’s a bigger chance than Wall Street is giving it credit for.

Joshua Enomoto is a seasoned financial writer with a strong track record of in-depth stock analysis, offering clear, insightful commentary for retail investors across all levels of expertise. Renowned for his ability to blend analytical rigor with engaging wit, Joshua's work has been featured on leading investment platforms, including TipRanks, InvestorPlace, Barchart, Benzinga, and Fintel. He was also handpicked to spearhead high-impact initiatives such as InvestorPlace's "Trade of the Day" and Benzinga’s ETF coverage. As a frequent guest expert for CGTN America, Joshua discusses a wide range of economic, societal, and consumer market trends. A graduate of U.C. San Diego, Joshua brings a thoughtful and fresh perspective to complex financial narratives, helping enterprise clients connect with their audiences. He also composes music in his spare time.

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