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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.

Kioxia CEO Says Memory Prices May Have Already Gone Too Far

Posted on Sep 10, 2026 by Ian Cooper

Kioxia CEO Says Memory Prices May Have Already Gone Too Far

Demand for AI chips, data centers and memory has exploded as companies around the world race to build more powerful AI systems.

But there may be a limit to how much customers are willing to pay. In fact, Kioxia CEO Hiroo Ota recently made that point clear. He said memory prices have already gone up enough and warned that another sharp increase could eventually hurt investment in AI.

That may sound strange at first. After all, higher prices are usually good news for memory-chip companies. But there is a catch. If memory becomes too expensive, the companies buying it could start cutting back on their spending. 

And that could eventually hurt the entire industry.

AI Needs a Lot of Memory



When people talk about AI chips, they often focus on companies like Nvidia (NASDAQ: NVDA) and the powerful processors used to run AI models. But those processors need memory to work. AI systems handle huge amounts of data, so data centers need large amounts of memory to keep everything running quickly. One type, called high-bandwidth memory, or HBM, has become especially important for AI systems. That has created substantial demand for memory.

Companies such as Kioxia, Micron (NASDAQ: MU) and SK Hynix (NASDAQ: SKHY) have benefited as data-center operators compete for limited supplies. When demand is high and supply is tight, prices naturally go up.

And they have gone up quickly. According to TipRanks, Kioxia’s NAND prices jumped 70% in the June quarter after more than doubling in the previous quarter.

But Ota doesn’t think that kind of increase can continue forever.

There Is a Limit to What Customers Will Pay

For memory companies, rising prices are obviously attractive.

If a company can sell the same product for more money, its revenue and profits can increase.

The problem is that customers have budgets, too. Think about a company building a massive new AI data center. It already has to pay for processors, networking equipment, electricity, cooling systems and buildings.

Now imagine the cost of memory suddenly jumps by another 50% or 70%.

The company has to find that extra money somewhere.

It might decide to spend more. But it could also delay a project, buy less equipment or look for ways to reduce its memory needs. That’s what Kioxia appears to be worried about.

Ota’s message is basically this: Memory companies don’t want to raise prices so much that they make it harder for customers to keep investing in AI.

The AI Boom Is Still Strong

That doesn’t mean the AI boom is coming to an end. 

Demand for memory remains extremely strong. Data-center companies continue to spend heavily on AI infrastructure, and chipmakers are still trying to keep up. In fact, the shortage of high-bandwidth memory has become such a big issue that some Chinese AI-chip companies have reportedly raised their own prices because their costs are going up.

So, this isn’t a story about AI demand disappearing.

It’s a story about finding the right balance. Memory companies want higher prices because they improve profits. But they also need their biggest customers to keep buying. If prices rise too quickly, those customers could start slowing down.

Investors Are Starting to Pay Attention

The comments from Kioxia come at an interesting time for memory stocks.

Micron, SanDisk (NASDAQ: SNDK) and SK Hynix were all under pressure in pre-market trading this morning after making strong gains the previous day. Some of that could simply be investors taking profits after the recent rally.

memory - StockEarnings
memory - StockEarnings

But Ota’s comments give investors another reason to think about how much further memory prices can realistically rise.

The market has been betting on strong memory demand because of AI. If prices continue rising, that could be good for memory companies in the short term.

The bigger question is what happens after that.

Can prices keep climbing without causing AI companies to slow their spending?

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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