Title :
Using news understanding and neural networks in foreign currency options trading
Author :
Addison, Edwin R.
Author_Institution :
Synchronetics Inc., Baltimore, MD, USA
Abstract :
This paper explores the use of news understanding as a means to augment neural network based technical analysis with up to the minute market psychology forecasts to make automatic trade decisions. The work is based upon simulation of performance for foreign currency option trades. It provides the result of a simulation that shows the potential performance in terms of profitability. The data used includes a collection of news wires on financial information during the Winter of 1991 and the currency trade price histories during that time
Keywords :
financial data processing; foreign exchange trading; neural nets; foreign currency option trades; market psychology forecasts; neural network; news understanding; simulation; technical analysis; Databases; Economic forecasting; Fluctuations; History; Intelligent networks; Neural networks; Profitability; Psychology; Timing; Wire;
Conference_Titel :
Artificial Intelligence Applications on Wall Street, 1991. Proceedings., First International Conference on
Conference_Location :
New York, NY
Print_ISBN :
0-8186-2240-7
DOI :
10.1109/AIAWS.1991.236583