Robots Making Money For AlgoRates

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Do you know what algorithmic trading is? It is the secret of making big money on the Wall Street!

You may already know what algorithms are, but if you don't, algorithms can be defined as the math that computers use to make decisions. The advanced math which computers use in order to find patterns in big data sets is ultimately used to make predictions based on probability.

Google is a best known example of a company using algorithms to help you find what you are looking for when you are using their search engine. However, there are literally millions of other companies, the majority of which you have never heard of, which use algorithms for similar purposes.

You see, robots are better traders than humans! AlgoRates is the company that first figured this out, and a company with the tagline that reads "The Science Of Making You Money" should know a thing or two about profitable trading robots! In fields such as finance, using advanced math for computers to find patterns in big data sets and making predictions based on probability is incredibly useful.

Founded a decade ago and based in England, but serving worldwide, AlgoRates was among the first investment fund management firms to develop algorithmic trading. Today, thanks to algorithmic trading, the wealth creation is done completely automatically: as a matter of fact, in this day and age, only 25 percent of trading is executed the old fashioned way - by humans, not computers. The most advanced technology - including algorithmic trading - is used in order to predict market trends.

It would be strange not to use computers for this purposes: the algorithmic systems are able to process more data than any human being, and they can also do all of that incredibly fast. The algorithmic systems are able to compare prices and metrics of millions of financial instruments at once.

Robots will never buy or sell because - unlike human traders - they got excited or fearful. Robots only do it according to predictions and market analysis, since there are no emotions standing in a way of making impartial, logical decisions.

The risks are as well calculated before executing trades, so that the dangers in the market can be recognized at once. A tight stop-loss control is then executed in order to efficiently and affectingly avoid loses. There is no pesky emotional factor to cloud the judgment of a trader when the said trader is a robot operating a complex but highly sophisticated algorithmic system!
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