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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.

Microsoft’s AI Story Enters Its Revenue Quarter

Posted on Jul 28, 2026 by Grayson Cavern

Microsoft’s AI Story Enters Its Revenue Quarter

Wall Street heads into Microsoft Corp (NASDAQ: MSFT) fiscal fourth-quarter earnings with little disagreement over the big picture. Analysts overwhelmingly rate the stock a Strong Buy, continue looking for Azure growth around the high-30% range, and are watching whether Microsoft’s enormous AI infrastructure investments begin translating into faster commercial adoption and stronger monetization.

The good thing is, MSFT already proved it can build AI at scale. Revenue climbed 18% year over year last quarter as Microsoft Cloud continued expanding, while operating income rose 20% despite continued investment in AI infrastructure and compute capacity. The company also acknowledged that those investments compressed cloud margins even as AI product usage accelerated. Indicating that the company has been spending aggressively to shape the next computing platform.

Where the rubber meets the road now is monetization and that’s what this quarter is all about, to prove the company can turn enterprise AI adoption into a recurring consumption engine capable of keeping pace with one of the largest capital spending programs in corporate history

AI Needs To Start Paying For AI



Microsoft spent the past two years building the foundation for enterprise AI. This earnings report should tell us whether customers are beginning to build on top of it.

Azure remains the first place to look. Analysts expect cloud growth to stay near the high end of the 37%-40% range, but the number itself only tells part of the story. I’m equally interested in whether management points to stronger AI workload consumption, larger enterprise deployments, and expanding commercial commitments. Those metrics say far more about the durability of Microsoft’s AI strategy than another quarter of infrastructure spending.

That’s also why Copilot deserves more attention than its subscriber count. MSFT has embedded AI across Microsoft 365, GitHub, Dynamics, and Security, creating multiple ways for enterprise customers to consume AI without changing platforms. This means that the bigger picture has transcended from selling another software license to increasing how often customers use Microsoft’s ecosystem after they’ve already signed the contract.

That’s where I think the market is looking under the hood. Building AI infrastructure is expensive. Building an enterprise platform that customers rely on every day is where the economics begin to change.

Enterprise Adoption Becomes The Scorecard

One reason the company keeps attracting premium valuations is that it rarely relies on a single product cycle. Windows, Microsoft 365, Azure, GitHub, and Security reinforce one another, making enterprise adoption far more valuable than a standalone software sale.

AI has the potential to strengthen that advantage.

Every Copilot deployment can increase Azure demand. Every AI workload running on Azure creates additional consumption revenue. And every enterprise application built inside the company’s ecosystem makes it harder for customers to leave. That’s a very different business model from charging a flat subscription fee and hoping customers renew next year.

That’s why I’m less interested in hearing how many AI features Microsoft shipped this quarter. Why? Well, because AI features are becoming a dime a dozen. What isn’t is proof that enterprise customers are using those products more often, expanding deployments across departments and increasing AI workloads inside Azure. That’s where recurring revenue compounds, and where the company’s AI investment begins paying for itself

Price Action Still Wants More Proof

Wall Street hasn’t abandoned MSFT. UBS cut price targets from $510 to $480, just as other analysts remain constructive, even as several firms have trimmed price targets and kept AI spending, Azure growth, and monetization at the center of the conversation. The optimism is still there. The market simply wants more evidence before assigning a higher multiple.

After rebounding from its April lows, the company reclaimed its 20- and 50-day moving averages, but the stock continues to struggle beneath its declining 200-day moving average near $430. Every rally has run into sellers before confidence fully returns. That’s less a sign of weakening fundamentals than a market waiting for another catalyst.

This earnings report could become that catalyst.

If management demonstrates that AI adoption is translating into stronger Azure consumption and commercial momentum, the chart has room to challenge a level that has rejected buyers for months. Until then, price action suggests institutions are willing to own MSFT, but not yet willing to chase it.

microsoft-StockEarnings

AI Consumption Faces Its Biggest Test Yet

MSFT has already won the race to build enterprise AI infrastructure. Tomorrow, I’ll be listening for something much harder to build – evidence that customers are moving from experimenting with AI to depending on it.

And if all goes well, that should show up in Azure consumption, broader Copilot adoption, enterprise deployments and management’s language around commercial demand, not just another quarter of aggressive capital spending.

Like every business, building products is always the easy part. But convincing millions of enterprise users to make it part of their everyday workflow is where the real economics begin

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