Twitter, the micro blogging platform, was chosen in order to track (1) words that may have an impact of financial markets and (2) unexpected events such as the eruption of the Icelandic volcano. The question is whether Human Computation could be used in algorithmic trading even though there are no 3D structures or user-friendly puzzles to deal with.The first experiment in this thesis is based on the idea that information flows in social media may provide input to algorithmic trading systems based on Human Computation principles.
In that case "human CPU" really helped in solving 3D puzzles. The Fold-it project in biochemistry proved the ability of a human community to set up an efficient collective intelligence system based on a serious online game.Algorithmic trading is on same difficulty level of complexity as the problem tackled by Fold-it's creators. This concept is at the crossroads between two older ideas: collective intelligence and crowdsourcing able to involve humans (whether they are paid or not, they realize it or not) in problem solving or to achieve a complex task.
The field is growing even though the Efficient Market Hypothesis says that in an efficient market, speculation is futile.Human Computation is an unusual concept which considers human brains as a part of a much larger machine, with the power to tackle problems that are too big for today's computers. In this systematic trading approach, human intervention is limited to system supervision and maintenance. Book Title : Enforcement and Effectiveness of the Law - La mise en oeuvre et l’effectivité du droitīook Subtitle : General Contributions of the Montevideo Thematic Congress - Contributions générales du Congrès thématique de MontevideoĮditors : Nicolás Etcheverry Estrázulas, Diego P.Algorithmic trading, designed for speculative purposes, really took off in the early 2000's, first for optimizing market orders based on human decisions and then for executing trading strategies in real time.
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