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COR
2004
78views more  COR 2004»
13 years 4 months ago
Generating trading rules on the stock markets with genetic programming
Technical analysis is aimed at devising trading rules capable of exploiting short-term uctuations on the
Jean-Yves Potvin, Patrick Soriano, Maxime Vall&eac...
GECCO
2006
Springer
181views Optimization» more  GECCO 2006»
13 years 8 months ago
Designing safe, profitable automated stock trading agents using evolutionary algorithms
Trading rules are widely used by practitioners as an effective means to mechanize aspects of their reasoning about stock price trends. However, due to the simplicity of these rule...
Harish Subramanian, Subramanian Ramamoorthy, Peter...
EVOW
2009
Springer
13 years 11 months ago
Prediction of Interday Stock Prices Using Developmental and Linear Genetic Programming
A developmental co-evolutionary genetic programming approach (PAM DGP) is compared to a standard linear genetic programming (LGP) implementation for trading of stocks across market...
Garnett Carl Wilson, Wolfgang Banzhaf
CEC
2007
IEEE
13 years 8 months ago
Stock trading rules using genetic network programming with actor-critic
Shingo Mabu, Yan Chen, Kotaro Hirasawa, Jinglu Hu
GECCO
2009
Springer
112views Optimization» more  GECCO 2009»
13 years 11 months ago
Soft memory for stock market analysis using linear and developmental genetic programming
Recently, a form of memory usage was introduced for genetic programming (GP) called “soft memory.” Rather than have a new value completely overwrite the old value in a registe...
Garnett Carl Wilson, Wolfgang Banzhaf