HomePersonal FinanceIs There a Method of Determining What Financial Markets Will Do?

Is There a Method of Determining What Financial Markets Will Do?

Analyst Says 'Yes' – the Secret is in the Algorithm

Without being naïve and overly optimistic, there is a way of knowing what the world's financial markets will do, says Lambros Klouvidakis, who has devoted the past dozen years of his life to the study of currency exchange behavior.

"Humanity has already done 'the impossible' several times: We've been to the moon, we've created the jet engine, we've discovered and utilized penicillin and we've developed a global system of interconnected computer networks – the internet," says mathematician Lambros Klouvidakis, a Canadian market expert who says he has developed a world's first – an algorithm that calculates market behavior called Semathy, which is also the name of his consultancy firm (www.semathy.com).

"All of these advancements in human understanding took visionaries to look outside the box, recognize how the world works and engineer a solution, and that's essentially what I've done. People who have experienced findings from Semathy are shocked on the spot; some slink away not knowing how to respond."

Klouvidakis explains some essential aspects of enumerating money markets:

  • The process: After devoting 12,000 hours of his life and accumulating 9,000 pages of notes, Klouvidakis has developed an algorithm, or formula, that "can calculate the exchange rates, stock prices, commodities and more by the minute . . . any time." The formula is based on the immutable qualities of money and the behavior of people toward money. People tend to look at data coming from the markets as a sea of confusion, but there is a substructure to the world's markets. A skill at abstraction and willingness to break down information into smaller and smaller pieces – "nanopieces" – allows an observer to begin to see a market's language. Markets are like natural phenomena, which can seem highly complex. But a forest, for example, is simply the constant self-replication of individual trees. "Markets also boil down to simple factors," he says, "and when you know them, you can calculate the forthcoming value with a high degree of accuracy."
  • The New York Stock Exchange: This is the world's largest stock exchange, with an average daily trading value roughly estimated between $75 billion to $153 billion daily. This is not an ideal environment for calculating rates because of the many variables that are exceedingly difficult to fortell, but Klouvidakis says he can. "Unlike the foreign exchange market, or forex, the New York Stock Exchange is riddled with x-factors including CEOs, share holders, public money, politicians and various other influencers and manipulators," he says. "Unless you are in on all of the secrets of the U.S. exchange, it's difficult to determine rates with a high degree of accuracy."
  • The foreign exchange: The world's many markets make up a vast monetary realm outside of New York called the forex, which is a form of exchange for the global trading of international currencies. This is exponentially larger in terms of daily trading value, which is roughly estimated to be $4 trillion daily. "While many may view this as a much more complicated beast, it is actually much more computational because it involves actual money, without so many unpredictable variables," he says. "That's why anyone looking to engineer a trading method of market rates should focus on the forex."

[About Lambros Klouvidakis:  Lambros Klouvidakis is the creator of Semathy, an elite foreign exchange consultancy. He is a math expert, not a trader, who has dedicated more than 12 years of his life to the study of currency exchange behavior. The formula he developed, an algorithm based on the behavior of money and supply and demand, marks current foreign exchange rates versus forthcoming rates. The Semathy formula is designed to give financial institutions and governments the ability to capitalize on the foreign exchange market's unique qualities and make viable trading decisions.]

 

 

 

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