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- ALERT: Tech's $10+ Trillion Week (AAPL, MSFT, GOOG All Report)"
ALERT: Tech's $10+ Trillion Week (AAPL, MSFT, GOOG All Report)"
(here's how to trade em)

Don Kaufman here.
Welcome to the Super Bowl of earnings season. Tech giants Alphabet, Meta, Apple, Microsoft, and Amazon are all stepping up to the plate this week, creating a perfect storm of trading opportunities.
Here's a truth most won't tell you:
Trading earnings doesn't have to be gambling.
Yet that's exactly what most traders do - place directional bets and hope for the best.
I'll be direct: Even if you handed me an earnings report in advance, I couldn't predict how a stock would react.
Take Tesla last week - they beat earnings, missed revenue, and the stock still soared 21%.
Unexpected? Absolutely.
But you shouldn’t let outliers discourage you.
If you trade enough earnings trades, the numbers will work out.
Let me show you why with AMD, reporting tomorrow:
• Historical data shows AMD moves 6% post-earnings on average
• Yet the options market consistently overestimates, pricing in 7.7% moves
• Last July? Market expected 8.5%, stock moved just 4.4%
• This week? They're pricing in a 7.6% move
This is what we call the expected move - the market's best guess at how far a stock might move after earnings.
And I'm not talking about some mathematical theory - this is real money talking. Billions of dollars of smart money pricing these options, giving us a roadmap of what's possible.
Finding it is straightforward: Look at the at-the-money straddle - that's just the call and put at the current stock price. Add those prices together, and you've got your expected move.
It's like the market is whispering its secrets to us.
Here's where it gets exciting - we can use what I call an earnings butterfly spread to potentially profit from these moves. Think of it like setting up guardrails around where the stock might land.
For example, with AMD trading at $159, we might set up a butterfly spread at 165/170/175 - costing us little but potentially paying off big if AMD lands near our target.
During my 14 years watching order flow at thinkorswim and TD Ameritrade, I've seen countless traders blow up their accounts trying to predict earnings.
But here's the thing - you don't need to predict.
You just need to understand what the market is already telling you through the expected move.
This week is particularly special because these tech giants have everything we want - massive liquidity in their options, weekly expirations available, clear earnings dates, and heavy options volume giving us reliable signals.
It's the perfect setup.
The beauty of this approach?
It works in any market condition. Up, down, sideways - it doesn't matter. We're not trying to predict direction.
We're playing the probabilities, using the market's own pricing to create our edge.
Now, will every trade be a winner?
Of course not.
But that's the secret - we don't need them all to win. When you structure these trades right, the winners can more than make up for the losers.
It's about playing the long game, being systematic, and letting probability work in your favor.
Remember that Tesla move I mentioned? With this strategy, even massive surprises like that can't hurt you badly, but you're still positioned to capture the moves that do fall within expectations.
While everyone else is gambling on direction this earnings season, you can be trading with actual edge.
Because in this market, the only edge that matters is the one you can quantify and repeat.
My Earnings Flips strategy has been developed over years of watching millions of trades and hundreds of thousands of traders.
In fact, I used it last week to nail a 293% gain in COF.
No more guessing games.
No more crossing your fingers. Just methodical, strategic trades based on historical volatility patterns.
The opportunities are already lined up. Meta, Apple, Amazon, Microsoft, Alphabet – they're all reporting this week. Don't let another earnings season pass while trading blindly.
Ready to stop gambling and start trading earnings with confidence?
To your success,
Don Kaufman
