Bryan Bottarelli, Co-Founder, Monument Traders Alliance Dear Reader, Last Friday, Meta dropped 3.83%. The New York Times reported that Meta's next flagship AI model, internally codenamed "Avocado," had missed internal benchmarks and was being delayed from March to at least May. The stock opened at $623 and closed at $613. Nearly $25 gone in a single session. Most investors watched it happen and did nothing. But a handful of beta tester using my "Stock Flip" strategy bought call options before the market close. Monday morning, they cashed out... BIG. One member entered at $6.50 and exited at $20. That's over 200% overnight. Another was out by 9:02 a.m. Monday with 101% on Meta. A third bought Friday after the War Room closed and sold Monday morning for 80%. Three traders. One ugly day. Three overnight wins. Here's why it works... I spent my early career on the floor of the Chicago Board Options Exchange, trading in the Apple computer pit during the height of the tech boom. Every single day, I watched the same thing happen. A great company would report something the market didn't like. The stock would crater. Traders would panic. Positions would get dumped before the close. And the next morning? The stock bounced. Not every time. But enough times, and with enough consistency, that I started tracking it. What I found after more than a decade of data across thousands of stocks is this: the market overreacts. Consistently. Predictably. And the overreaction is the trade. Meta on Friday was a textbook example. But it is far from the only one. We backtested this system going back to 2015, across thousands of stocks. The signal accuracy rate is 87%. We have seen this play out on big tech names after earnings panic. We have seen it on blue chip stocks after macro selloffs. We have seen it work during COVID when everything was in freefall. If fact, during the worst stretch of the COVID crash, the accuracy rate held at 81% with an average next-day gain of 4.48%. The market was collapsing, and the system still hit 8 out of 10. This is not one trade. This is a pattern backed by a decade of data across every market condition. | 
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