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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.

Pfizer’s Personalized Medicine Strategy Looks Ready to Pay Off

Posted on Aug 21, 2026 by Chris Markoch

Pfizer’s Personalized Medicine Strategy Looks Ready to Pay Off

Personalized medicine is back in the headlines. Merck & Co. (NYSE: MRK) and Moderna (NASDAQ: MRNA) announced this week that their experimental melanoma vaccine, intismeran, hit its main goals in a large Phase 3 trial. Combined with Merck’s Keytruda, the mRNA-based shot slowed cancer recurrence and reduced the risk of the disease spreading. Moderna’s stock jumped, and Merck shares climbed too. 

The news reignited investor interest in a theme that’s been building for years: using genetic and molecular data to design treatments tailored to individual patients. Moderna supplied the mRNA technology. Merck brought commercial muscle and its blockbuster immunotherapy. Together, they may have proven that personalized cancer vaccines may actually work. 

Pfizer (NYSE: PFE) wasn’t part of this week’s announcement. But it’s been quietly building its own case in personalized and precision medicine for years, particularly in oncology. The company has adopted a formal precision-medicine framework for drug development, invested heavily in genomic data, and spent $43 billion acquiring Seagen’s antibody-drug conjugate platform. 

For investors looking to play the broader personalized medicine theme, Pfizer offers something Moderna and Merck don’t: a deep, diversified pipeline, a well-established oncology franchise, and a dividend yield near 6%. That combination makes PFE worth a closer look, even if it isn’t the company making this week’s splashy headlines. 

The stock has also quietly turned higher. Shares are up nearly 4% over the past week and have climbed off their summer lows. That move, paired with this week’s industry news, makes now a good time to revisit Pfizer’s personalized medicine story. 

How AI Is Powering the Personalized Medicine Shift 



Biotech has become attractive to investors looking for an alternative to the frothy AI infrastructure trade. But that framing misses something. Biotech isn’t really an alternative to AI. It may be one of the best ways to invest in AI for the next decade. 

AI’s strengths line up well with biotech’s biggest bottleneck. Drugs take years to reach the market. Even before that, they must survive clinical trials, where most candidates fail. That slow, expensive process is exactly where AI can help most. 

Personalized medicine depends on data. Lots of it. Genomic sequencing, proteomics, and real-world patient outcomes all need to be analyzed at a massive scale to identify what makes one patient’s cancer different from another’s. That’s where artificial intelligence comes in. 

AI models can now scan genetic and molecular data far faster than traditional methods. This lets researchers spot patterns tied to specific mutations. It also speeds up early drug discovery, helping companies match compounds to the patients most likely to benefit from them. 

The result is a shift in how trials are designed. Instead of testing one drug on a broad population, companies increasingly use AI to enroll patients whose tumors carry a specific genetic signature. That improves the odds a trial succeeds, and it’s part of why intismeran’s melanoma results mattered so much this week. It signals that AI-assisted precision approaches are starting to deliver. 

AI also plays a growing role after a drug reaches the market. Companies now use predictive analytics to match approved therapies to the patients most likely to respond. For a pharmaceutical company, that kind of AI infrastructure isn’t a side project. It’s becoming the backbone of how new medicines get discovered, tested, and delivered to the right patients. 

Pfizer’s Deep Bench in Precision Oncology 

Pfizer has pursued personalized medicine through a different route than Moderna. Rather than betting big on a single mRNA vaccine platform, Pfizer has built a broad, multi-modality oncology pipeline. It includes small molecules, biologics, and antibody-drug conjugates gained through its 2023 Seagen acquisition. 

personalized medicine - StockEarnings

That deal added four approved ADCs, including Padcev, which grew 13% last quarter on strong demand in bladder cancer. Oncology now makes up roughly 27% of Pfizer’s total revenue. As of early August, the company had 31 oncology, immunology, vaccine, and internal medicine candidates in Phase 3 trials, out of 95 total pipeline projects. 

Pfizer has also leaned into AI-driven drug discovery, using tools to analyze genomic and proteomic data at scale. The company has used AI in pharmacovigilance since 2014, well before it became an industry buzzword. Management has said it expects eight or more blockbuster oncology medicines in its portfolio by 2030, a target that leans heavily on precision approaches. 

Pfizer isn’t chasing the mRNA cancer vaccine race directly. But its BioNTech (NASDAQ: BNTX) partnership on Covid-19 gave it firsthand experience scaling mRNA manufacturing. That know-how, paired with Seagen’s targeted ADC science, gives Pfizer multiple paths into personalized oncology. Investors get diversification that single platform biotech’s like Moderna can’t offer. 

What the Charts Say About PFE Right Now 

Pfizer’s daily chart shows a stock in recovery mode. Shares have climbed from roughly $23 in July to nearly $28, breaking above the 200-day moving average. The MACD indicator has turned solidly bullish, suggesting momentum is building. 

personalized medicine - StockEarnings

The longer-term picture tells a different story. Pfizer’s all-time high was $61.71, set in December 2021 during the peak of Covid-19 vaccine demand. Even after this year’s rally, PFE trades more than 50% below that level. The company hasn’t found a replacement blockbuster since Comirnaty and Paxlovid sales faded. 

personalized medicine - StockEarnings

That gap is exactly why some investors see opportunity. A successful oncology pipeline, paired with the Metsera obesity assets acquired this year, could give Pfizer the growth catalyst it’s been missing since 2021. 

A Dividend That Rewards Investors Who Wait 

Pfizer pays a $1.72 annual dividend per share, good for a yield of approximately 6%. That’s roughly double the yield on most large pharmaceutical stocks. The company has now paid 351 consecutive quarterly dividends, a streak dating back decades. 

The payout isn’t without risk. Pfizer’s free cash flow payout ratio has exceeded 100% in recent years, and the company faces a patent cliff for products like Eliquis later this decade. Still, management has repeatedly emphasized dividend stability as a core part of its capital allocation strategy. 

For investors willing to wait on Pfizer’s oncology pipeline to mature, that dividend offers a reason to stay patient. Personalized medicine may take years to fully reshape Pfizer’s growth story. In the meantime, the yield pays investors to hold on. 

A former marketing copywriter turned freelance financial writer and market analyst. I have a passion for delivering insights to investors. I write regularly about stocks for StockEarnings and MarketBeat. Posts are not advice.

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