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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.

3 Hot REITs for the AI Data Center Boom

Posted on Jun 29, 2026 by Ian Cooper

3 Hot REITs for the AI Data Center Boom

Artificial intelligence is fueling one of the biggest infrastructure booms in history, creating unprecedented demand for data centers and the real estate companies that own them. 

As tech giants pour hundreds of billions of dollars into AI infrastructure, investors are searching for the best AI data center stocks and REITs positioned to benefit from this long-term growth trend. Better yet, many of these companies also pay attractive dividends, offering investors the opportunity to generate passive income while gaining exposure to one of the market’s fastest-growing industries. 

If you’re looking to capitalize on the AI revolution without investing directly in volatile technology stocks, these three data center REITs and infrastructure investments deserve a closer look.

Massive Data Center Growth Ahead



Right now, according to MIT Technology Review, there are about 3,000 data centers across the U.S. Plus, according to a McKinsey report, $5.2 trillion in AI infrastructure investments will be needed by 2030. 

McKinsey’s analysis also ‘suggests that demand for AI-ready data center capacity will rise at an average rate of 33 percent a year between 2023 and 2030 (reflecting a trend that is already underway.),’” as reported by BOMA International.

We also have to consider that AI demand isn’t slowing, which increases the need data centers.

Forecasts now place AI’s value between $1.7 and $3.5 trillion by the early 2030s, with the most aggressive estimates topping $7 trillion by 2035. And judging by the surge in corporate investment, the market is moving toward the high end of those projections.

In addition, some of the largest tech companies are sending a clear message that the AI boom is far from over. Just look at recent capex spending.

  • Google raised its 2026 capex outlook to $180 to $190 billion
  • Microsoft raised its capex outlook to about $190 billion
  • Meta raised its capex spending to a range of $125 billion to $145 billion
  • Amazon raised its spending for 2026 to $200 billion

For investors, these numbers are impossible to ignore. Even better, analysts at UBS expect global AI capex to hit $571B in 2026, with a runway to $3 trillion by 2030.

That being said, there are three interesting ways to invest in the data center boom and earn yield along the way. That includes:

Digital Realty Trust 

With a yield of about 2.53%, the Digital Realty Trust (NYSE: DLR) is a major data center provider that is heavily invested in AI infrastructure. It also just paid a dividend of $1.22 per share on June 30 to shareholders of record as of June 15.

In its most recent quarter, funds from operations (FFO) was $1.96, which beat by a penny. Revenue of $1.64 billion, up 16.3% year over year, beat by $40 million. 

“Digital Realty saw a further acceleration in data center demand and our growth trajectory in the first quarter, with record 0–1 megawatt plus interconnection leasing and the largest hyperscale lease in company history, which contributed to double-digit growth in core FFO per share,” said President and CEO Andy Power.

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Iron Mountain  

With a yield of 2.55%, Iron Mountain (NYSE: IRM) has been actively expanding its data center business to meet the surging demand from artificial intelligence. It will soon pay a dividend of $0.864 per share on July 3 to shareholders of record as of June 15.

In its most recent quarter, its EPS of 60 cents beat by eight cents. Revenue of $1.94 billion, up 21.3% year over year, beat by $80 million. The company also raised guidance, expecting revenue of $1.965 billion, compared with estimates of $1.92 billion; adjusted FFO per share of $1.40, compared with estimates of $1.37; and adjusted EBITDA of $715 million, compared with estimates of $700.9 million.   

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Pacer Benchmark Data & Infrastructure Real Estate ETF 

With an expense ratio of 0.49%, the Pacer Benchmark Data & Infrastructure Real Estate ETF (NYSEARCA: SRVR) offers exposure to companies that generate a significant amount of their revenue from real estate operations in the data and infrastructure sector. Some of its top holdings include Digital Realty Trust, Equinix, American Tower Corp., Crown Castle, and Iron Mountain, to name just a few. 

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Why These REITs Stand Out

The AI revolution is still in its early stages, and the companies building the infrastructure behind it could remain among the biggest beneficiaries for years to come. 

As hyperscalers continue spending billions to expand their AI capabilities, demand for data centers and the real estate that supports them should only increase. For income-focused investors, that’s an attractive combination of long-term growth potential and reliable dividend income.

Whether you prefer owning industry leaders such as Digital Realty Trust and Iron Mountain or taking a diversified approach with the Pacer Benchmark Data & Infrastructure Real Estate ETF, these investments offer compelling ways to profit from the AI data center boom while collecting yield along the way.

Over the last 26 years, he’s taught thousands of investors how to trade news flow and herd mentality using a unique blend of technical and fundamental analysis. Cooper was among the few analysts to spot the financial crisis of 2008, the top of subprime and Alt-A, the death of Lehman Brothers, Bear Stearns, and New Century Financial, and even the Dow’s collapse to 6,500, as well as its recovery. He even called for gold to rally well above $1.500 when it traded under $600. At the moment, Cooper makes use of technical, fundamental and news analysis, to help individual investors grow their wealth. He’s a firm believer that hard work and thorough research will lead to investment success.

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