Title :
A Discrete Stock Price Prediction Engine Based on Financial News
Author :
Schumaker, Robert P. ; Chen, Hsinchun
Author_Institution :
Iona Coll., New Rochelle, NY, USA
Abstract :
The Arizona Financial Text system leverages statistical learning to make trading decisions based on numeric price predictions. Research demonstrates that AZFinText outperforms the market average and performs well against existing quant funds.
Keywords :
financial data processing; learning (artificial intelligence); stock markets; Arizona Financial Text system; discrete stock price prediction engine; financial news; market average; quant funds; statistical learning; trading decisions; Engines; Statistical learning; Decision support; Quantitative analysis; SVMs; Text analysis;
