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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.

Snowflake (SNOW) Rockets After Strong Q2 Earnings and Raised Price Targets

Posted on Sep 04, 2026 by Ian Cooper

Snowflake (SNOW) Rockets After Strong Q2 Earnings and Raised Price Targets

Snowflake (NASDAQ: SNOW) is giving investors plenty to be excited about. The data analytics company reported better-than-expected earnings, and Wall Street sent the stock up more than $71 a share. The strong results also caught the attention of major Wall Street banks. Morgan Stanley (NYSE: MS) and Bank of America (NYSE: BAC) both raised their price targets for SNOW to $470, suggesting the stock could climb nearly 54% from Wednesday’s closing price.

Morgan Stanley’s previous target was $300, while Bank of America had a target of $395. Both banks remain bullish on the company, with Morgan Stanley keeping its Overweight rating and Bank of America maintaining a Buy rating.

Analysts at Rosenblatt also raised their price target following the earnings report, moving it from $345 to $370 while keeping a Buy rating.

So, what has investors so excited? A big part of the answer is artificial intelligence.

Snowflake’s AI business is growing quickly, and the company is showing signs that customers are using more of its platform as they look for ways to put AI to work.

Product Revenue Growth Continues to Accelerate



Snowflake’s latest numbers were hard for investors to ignore. The company reported adjusted earnings of 62 cents per share for its fiscal second quarter. Analysts were expecting just 45 cents. Revenue came in at $1.55 billion, up about 35% from a year earlier. That was also ahead of expectations, with analysts looking for revenue of roughly $1.48 billion to $1.5 billion.

But one of the most important numbers was product revenue. The company brought in $1.49 billion from its products during the quarter, an increase of 37% from the same period last year.

That matters because product revenue gives investors a good idea of how much customers are actually using the company’s Data Cloud platform.

And customers are clearly using it more.

The company’s net revenue retention rate came in at 126%. Basically, that means existing customers are spending more money over time. The company also pointed out that this was its third consecutive quarter of accelerating product revenue growth.

That trend is one reason Wall Street is becoming more confident in the stock.

AI Adoption Is Driving More Customer Spending

Artificial intelligence has become a major focus, and so far, the strategy appears to be working. The company is building AI tools that allow businesses to work with their data, develop AI applications and automate different tasks. As more companies experiment with AI, the company hopes to become an important part of that process.

There are already signs that customers are adopting these tools.

Its CoCo AI product surpassed 9,100 customer accounts during the quarter. More than 2,000 accounts were added in just three months. CoWork, another AI product, grew to about 5,800 customer accounts. The company is also moving quickly on new products. The company launched more than 330 new capabilities during the first half of fiscal 2027, up 35% from the same period last year.

CEO Sridhar Ramaswamy believes AI could create a kind of snowball effect for the business.

As customers use more of the company’s AI tools, they also end up using more of the company’s core data platform. More usage means more revenue, which can then lead to even more investment and adoption.

Snowflake Raises Full-Year Revenue Outlook After Strong Quarter

The good news didn’t stop with the latest quarter.

Snowflake also gave investors a strong forecast for its fiscal third quarter.

The company expects product revenue of between $1.588 billion and $1.593 billion. That is comfortably above Wall Street’s estimate of about $1.51 billion. 

Snowflake expects an adjusted operating margin of around 15.5% for the third quarter. The company also raised its full-year outlook. It now expects product revenue to reach about $6.07 billion, representing 36% growth from the previous year. Full-year adjusted operating margin is expected to be 14.5%.

Snowflake Enters the Second Half With Strong Momentum

After such a big jump in the stock, investors will want to see Snowflake continue delivering strong growth while improving profitability. For now, though, the story looks solid. 

Snowflake is growing its core business. Its AI products are gaining traction, and the company has raised its revenue outlook for the year. With Wall Street analysts raising their price targets and investors betting on the company’s AI opportunity, Snowflake has entered the second half of the year with strong momentum.

snow - StockEarnings

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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