[CHART] Beat High-Frequency Traders at Their Own Game with This NASA-Based Tech

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For the past decade, high-frequency traders have had an unfair advantage over retail traders like us. Now, we have the technology to fight back.

One of the most gripping scenes in “Flash Boys” – Michael Lewis’ bestselling dive into high frequency traders – was a $300 million project to thread fiber-optic cable through the Allegheny Mountains. The mammoth undertaking shaved four milliseconds off the transaction time between the Chicago and New York exchanges.

And it was a huge success.

Those 0.004 seconds could be worth billions of dollars as traders beat their competitors to the punch. That could mean selling shares to the highest bidder while a rival’s bid arrives a fraction of a second too late.

This is the new normal…

And if the stock market has stopped making sense to you, you’re not alone.

We live in an age when supercomputers and modern technology manipulate the stock market for Wall Street’s gain.

Today, we’re going to show you exactly how high-frequency traders are rigging the game against you. But even more importantly, we’re going to show you how to get even.

That includes two chances to make $100,000…

How High-Frequency Trading Stacks the Deck Against You

High-frequency trading makes up half of all U.S. equity trades. That means every time you make a trade, you’re up against a high-powered computer algorithm.

These computer algorithms comb through the endless stream of stock market data and find profitable opportunities before any human could ever realize they’re there.

High-frequency traders use these algorithms to arbitrage price differences between stocks that may only exist for a fraction of a second.

Think about it like this. One hedge fund on Wall Street might decide to unload some stock. They list it for $40 a share. An investment bank is looking to add some of the same stock, and they submit a bid to buy it at $50 a share. If you notice this discrepancy, you could technically buy the shares from the hedge fund for $40, and sell them to the bank for $50, pocketing $10 a share.

Now, you almost never see price discrepancies this large because the market is so efficient. We can all see up-to-date prices, and no one wants to sell a stock for less than the market says it’s worth.

But these market disparities happen all the time. The only problem is, we can’t see them.

Your typical online trading software might display updated prices every few seconds, but high-frequency traders are operating in milliseconds.

These trading algorithms can spot discrepancies of mere pennies in a fraction of a second. We don’t stand a chance against that sort of computing power.

It’s no wonder Credit Suisse says “we’re all high-frequency traders now.”

It gets even worse too.

In an illegal practice called “spoofing,” these trading algorithms can enter a fake bid for a stock or commodity to artificially drive the price up or down. Entering a series of above-average bids for a stock could trick the market into thinking a stock’s price is rising. The trading algorithms can then swoop in and cash in on the discrepancies this creates.

If you feel like the deck is stacked against you, we don’t blame you. After all, you know you’re not just competing with other traders, but supercomputers with teams of Ivy League-trained programmers behind them.

But that ends today.

Now, you can get the upper hand on Wall Street by having state-of-the-art technology…

It’s Time to Change the Way You View the Stock Market

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