| JEFFRY TURNMIRE
When Computers Make Errors
Do either of these screens look familiar?
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If so, you know that pit in your stomach as you restart your machine, crossing your fingers that your unsaved work might somehow have survived.
Despite leaps and bounds in technology, it's apparent that computers still aren't perfect. Errors creep in, systems fail, and sometimes things just go haywire.
Well, what if I told you that the world of high-stakes trading isn't immune to this phenomenon?
Despite their remarkable sophistication, Wall Street's complex algorithms and automated trading bots are just as prone to the occasional misstep.
Take the Flash Crash of 2010 for instance. In a matter of minutes, automated trading bots reacted to faulty trades and wiped out nearly $1 trillion of value from the stock market.
Or consider the Knight Capital glitch in 2012, where an algorithmic error cost the firm a mind-boggling $440 million in just 45 minutes.
While these examples might seem dramatic, they paint a picture of how even small errors in these automated algorithms can lead to significant financial consequences.
But what if we could turn these flaws to our advantage?
During my time as a trader, I’ve spent countless hours studying the algorithms behind these automated trading bots, looking for patterns.
And in my quest, I stumbled upon a recurring 'glitch'. A tiny, yet consistent error in the pricing of a specific asset by one of these bots.
And here's the kicker: I've found a way to turn this glitch into a winning streak.
A streak so consistent that I've chalked up 52 straight profitable trades without a single loser.
If you're curious about the prospect of turning Wall Street's errors to your advantage, I have something special in store for you.
Today at 4pm Eastern, I’ll be LIVE to dig deeper into this mysterious 'glitch' and show you how I’ve been exploiting it. (and how you might be able to as well)
Click here to register your spot to join me.
Hope to see you there,
— Jeffry Turnmire | | | | |
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