Engineering: Winning automated stock trader

 

The winner of the automated stock trading software competition could lead to top stock market picks.

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A University of Southampton team, led by Professor Nick Jennings, Professor of Computer Science, has won the Trading-Agent Competition (TAC) where contestants were asked to create software that would control a stock market, populated by automated trading agents, in the best possible way.
 
The team are now taking their winning software design further.
 
In particular, the software adjusted the market parameters (the cost of listings, the amount of information given out to traders and the fees charged) to create a market that is more appealing than the others that are currently available.
 
The team called IAMwildCAT took the prize over nine other teams, with a score four times higher than the team with the lowest score.

How the competing markets increase their market share

The grading was based on how the competing markets increase their market share; increase the amount of profit they make and the transaction success rate over a number of trading days.
 
“There are now lots of different stock markets/exchanges around the world, many of which have shifted online,” said Professor Jennings.
 
“All of these exchanges compete with one another for business and the one which works best with its different parameters will get the majority of the business. This was the case for ECS (School of Electronics and Computer Science) in the CAT competition. We won because we adapted the terms and conditions of our exchange to respond favourably to changing market conditions.”
 
 
 

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