Investment Approach

The financial markets are complex, seemingly chaotic environments where piles of information are disclosed and available every minute and enveloped in such complex terminology that seems to require a post graduate degree to understand completely.  No single human person can process information that fast in order to make appropriate objective decisions.  On top of that we are all encumbered by our emotional states, and very few things are as emotional as the fear and greed surrounding money management activities.

Our philosophy to the markets is that within all this seemingly random chaos there are hidden patterns of behavior that give the market some tradeable structure.  This underlying structure, when identified, allows for entries into the market with high probabilities of success while at the same time lowering the risk to the investor.  It also creates points in which the risk increases and the potential for profit decreases and as such are ideal times to exit the market.  The mere existence of this points has led us to believe that they can be readily identified using  computers with appropriate algorithms.

Financial market's seemingly chaotic nature

Our approach to investing is to leverage our investment strategies in cutting edge quantitative algorithms that are able to process tons of market related data per second, process it, identify opportunities with high probabilities of success and generate instantaneous investment recommendations that can be immediately routed to the market for execution or can be supervised by a human trader for a final decision.

At the core of our algorithms lie artificial intelligence based engines that lack the emotional burden that human traders carry.   These A.I.'s are not subject to human emotions in their decisions.  They work at the same high standard all day, every day. Their single raison d'être is to go to work every day with the exact same objectivity, and  decipher the chaos of the markets in order to protect the capital they are assigned and make it grow whenever possible.  They are not infallible, as nothing in this world is, but they bring a consistency and objectivity that would otherwise be impossible to attain with human traders.  

Among the advantages algorithmic trading brings to the table are:   Algorithms are tested thoroughly before committing them to manage money and the results they produce are thus well measured to insure they meet the quality and consistency required for them to be profitable over long periods of time. Computers are excellent at repetitive boring tasks (such as those required to watch the market oscillations day in and day out) without getting tired, and more importantly without letting human preconceptions or mood swings alter the perception of what is really happening in the markets.