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Month: July 2018

Can machines replace human traders?

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Financial markets never sleep. The trade in financial instruments has long been a global marketplace, operating round the clock.

But increasingly, market continuity is maintained not only by human intervention, but also by algorithmic tools; the world of finance deals with statistical data and quantitative figures that make it a perfect area for machine learning (ML). As such, financial services benefit a lot from deploying “intelligent” computer systems.

In addition, the trading world requires fast and sometimes immediate actions. Speed is vital for a trader to become a competent player in the market. Machine learning algorithms can accelerate data processing and provide a solution for managing vast amounts of data. Also, a machine learning system can easily spot complex patterns; if a substantial amount of past data is properly recorded and analyzed, then a model can be built to predict future events (at some confidence).

 

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Technical Analysis: What you can and what you can’t do

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Technical analysis is a series of analysis methodologies for predicting the price direction of the markets by studying charts and by using markets statistics. These methodologies provide buy and sell decisions.

Technical analysts use mostly two categories of methodologies: technical indicators and price action. Technical indicators are mathematical formulas that contain past data (price, volume etc). Price action refers to the research of the current price regarding past prices and to the research of some patterns on a chart that statistically may produce buy or sell signals.

 

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Artificial Intelligence vs Humans

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Alan Turing (1912-1954), the famous computer scientist and mathematician, put all the theoretical basis of computers, long before their existence. He also reached the borders of Artificial Intelligence and finally at his paper “Computing Machinery and Intelligence” in 1950, he formulated a very famous question: Can machines think? At the same paper he understood immediately the difficulty to define what thinking is so he rephrased his question.

 

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