| Fellow Investor, It's no secret that the stock market is dominated by institutional algorithmic trading… And this often leaves regular traders chasing big moves. But a breakthrough in trading technology can help you trade the markets unlike anything you've ever seen before. Using a proven algorithm, you can have a stream of alerts on stocks and ETFs that are primed to breakout. Here's what makes it so special: It does all the heavy lifting for you… automatically. Stock ticker, entry price, profit target, stop loss, and even an individual chart. So it becomes a MASSIVE time-saver. And it's shown the power to pay 25%… 50%… even 100%+ ROI… with a 78% win rate. The algorithm is based on what research shows is the BEST time of the day to identify stocks and ETFs ready for quick moves… And it might surprise you that it's NOT the opening hour or closing hour. Anyone who can identify stocks primed for big moves during what the developer calls the "Genesis Hour" can repeatedly target these moves… All by placing a quick trade in ONE specific hour of the trading day. This unique algo identified gains on some of the most popular ETFs today… like 114% on IWM, 76% on GLD, and 164% on SPY. Of course, there would have been smaller wins and some trades that didn't work out. It should go without saying that the markets don't come with guarantees, so there's no promise of future returns or avoiding losses. But if you're interested in targeting DAILY double-digit or bigger moves – completely hands free… With tickers that are leading the pack in today's markets… Best of luck in all your investments! Disclaimer: Data is from an internal audit from June 9th, 2023 to November 11th, 2024. The audit took real issued trade alerts from the brand-new Genesis Algorithm and applied a set of options criteria to them, meaning each option gain is hypothetical and uses the benefit of hindsight. From the LIVE trades in real-time, so far the system has seen a 78% win rate with a 17.8% average winner and a 6.2% average return over a 2-day average hold time.  |
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