ajax loader

Loading...


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.

Microsoft Just Turned AI Spending Into A Revenue Story 

Posted on Jul 30, 2026 by Grayson Cavern

Microsoft Just Turned AI Spending Into A Revenue Story 

Ahead of Microsoft Corp (NASDAQ: MSFT) fiscal fourth-quarter 2026 earnings, I argued that the company’s biggest challenge wasn’t building AI, but convincing enterprise customers to make it part of their everyday workflow. Looking at MSFT’s fourth-quarter results now, I think we’re finally seeing those economics emerge. 

MSFT reported revenue of $90.0 billion, up 18% year over year, while diluted earnings per share climbed 32% to $4.81. More importantly, Azure and other cloud services accelerated to 43% growth, Microsoft Cloud revenue reached $59.3 billion, and commercial remaining performance obligation expanded to $367 billion. Suggesting that enterprise customers have moved past experimenting with Microsoft’s AI platform and are now committing to it at a scale that can support recurring consumption over multiple years. 

Twelve months ago, investors wanted proof MSFT could build the infrastructure needed to lead the AI race. Today, they’re asking whether those investments can produce durable demand before the company spends another $41 billion on capital expenditures next quarter. This earnings report doesn’t answer every question, but it provides the strongest evidence yet that Microsoft’s AI investment cycle is beginning to finance itself

$367 Billion Says Customers Aren’t Experimenting



Commercial remaining performance obligation climbed to $367 billion, Microsoft Cloud revenue reached $59.3 billion, and Azure accelerated to 43% growth. This commercial backlog is from customers expanding commitments they expect to keep using for years, giving MSFT greater visibility into future revenue while reinforcing the durability of its cloud business. 

MSFT wasn’t shy about matching that demand. Capital expenditures surged 70% to $41 billion, with the bulk of the spending directed toward AI infrastructure. Even so, operating income rose 18%, net income climbed 31%, and operating margin held at 45%. Few companies could absorb an infrastructure programmed of that magnitude without compromising profitability. Yet, Microsoft managed to expand both. 

Consequently, the market didn’t need long to process the implications as shares climbed nearly 9% after hours, reclaiming the 20-day and 50-day moving averages and moving back above the psychologically important $400 level. The next test sits near the declining 200-day moving average around $434. A decisive move through that level would strengthen the technical picture and reinforce the view that investors are beginning to reward Microsoft’s AI economics rather than simply its AI ambition

microsoft-StockEarnings

One figure, free cash flow, stood out for all the wrong reasons. It fell 23% to $19.6 billion, a sharp contrast to the company’s otherwise exceptional quarter. On its own, the number looks uncomfortable. The income statement tells a different story. 

Operating cash flow climbed 30% to $55.4 billion, while net income reached $35.8 billion. The pressure came from the company’s decision to spend aggressively on data centres, networking equipment and AI hardware. Capital expenditures reached $41 billion, up 70% from a year earlier, with cash paid for property and equipment surging 110% to $35.8 billion. 

Management isn’t behaving like a company worried about overbuilding. If anything, it’s signalling the opposite. During the earnings call, executives reiterated that demand for AI infrastructure continues to exceed available capacity, leaving Microsoft in a race to bring more compute online. The willingness to keep investing at this pace reflects confidence that customers will absorb the additional capacity rather than leave it sitting idle. 

That investment cycle is unlikely to end soon. The real question for investors is no longer whether Microsoft can afford to spend tens of billions of dollars on AI infrastructure. It’s how long demand can continue outpacing supply. As long as that gap persists, management has little incentive to ease off the accelerator

My Buy Rating

I don’t often increase a position after a stock rallies. More often than not, I prefer buying into pessimism rather than strength. Microsoft is one of the few exceptions.

The investment case no longer rests on promises about what AI might become. Enterprises are embedding it into their operations, and Microsoft has now become the company collecting a cheque every time that happens. That’s a very different business from one selling software licences or productivity tools. It’s an ecosystem where cloud infrastructure, AI models, security and enterprise applications reinforce one another in ways few competitors can replicate.

But I don’t expect the road ahead to be smooth. A company investing this aggressively will always face questions about returns, valuation and execution. And those questions deserve to be asked. However, this quarter shifted the burden of proof. Investors now have stronger reasons to believe Microsoft’s spending is creating durable economic value than reasons to believe it’s becoming excessive.

That’s enough for me to maintain my Buy rating. If my pre-earnings thesis was that Microsoft needed to prove enterprises would make AI part of their everyday workflow, and that it should show up in its Azure consumption and Copilot adoption, this quarter delivered the closest thing to that proof I’ve seen so far.

Join over 1.2M+ investors/traders who receive daily and weekly notable earnings alerts with predicted move