Naïve learning algorithms utilized for the prediction of stock prices to compare economic models of decision making.
Caleb KrellHank GrantPublished in: WSC (2010)
Keyphrases
- stock price
- decision making
- financial time series
- learning algorithm
- bayes classifiers
- stock market
- bayesian classifiers
- bayes classifier
- option pricing
- decision makers
- technical indicators
- dow jones
- supervised learning
- non stationary
- financial news
- financial data
- tft lcd
- financial markets
- news articles
- exchange rate
- stock exchange
- text categorization
- active learning
- bayesian classifier
- stock market data
- decision support system
- long term
- stock data
- stock trading
- association rules
- natural language
- knowledge base