Real stock trading using soft computing models

By Brent Doeksen, Ajith Abraham, Johnson P. Thomas, M. Paprzycki. 2005

39 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Management Science and Operations Research

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Kimon P. Valavanis
2. Eftychios E. Protopapadakis
3. George S. Atsalakis

In Management Science and Operations Research

1. George S. Atsalakis
2. Kimon P. Valavanis
3. Eftychios E. Protopapadakis
4. Tugrul U. Daim
5. Erkam Güresen
6. Gülgün Kayakutlu
7. A. Ozbayoglu
8. Saman Haratizadeh

Citations in the corpus

• Surveying stock market forecasting techniques - Part II: Soft computing methods (2009, background): “…indicators Chun and Park (2005) Volume, opening, lowest, highest and closing index price Constantinou et al. (2006) Two lagged stock index returns Doesken et al. (2005) Five inputs depending on close, open, high values Donaldson and Kamstra (1999) Daily AR(1) stock return Dong and Zhou (2002)…”
• Forecasting stock market short-term trends using a neuro-fuzzy based methodology (2009, methodology): “Doesken et al. (2005) developed a Mamdani fuzzy system and a Takagi-Sugeno fuzzy system to forecast the direction of a stock in NYSE.”
• Stock trend forecasting in turbulent market periods using neuro-fuzzy systems (2015, background): “A FIS (Hiemstra 1994; Doeksen et al. 2005) is another alternative, which has two main advantages; Comprehensibility and explain ability.”