Now showing items 1-5 of 5
A Deep Neural-Network Based Stock Trading System Based on Evolutionary Optimized Technical Analysis Parameters
(ELSEVIER Science BV, 2017)
In this study, we propose a stock trading system based on optimized technical analysis parameters for creating buy-sell points using genetic algorithms. The model is developed utilizing Apache Spark big data platform. The ...
A Deep Learning based Stock Trading Model with 2-D CNN Trend Detection
The success of convolutional neural networks in the field of computer vision has attracted the attention of many researchers from other fields. One of the research areas in which neural networks is actively used is financial ...
Financial time series forecasting with deep learning : A systematic literature review: 2005-2019
(Elsevier Ltd, 2020-05)
Financial time series forecasting is undoubtedly the top choice of computational intelligence for finance researchers in both academia and the finance industry due to its broad implementation areas and substantial impact. ...
Evolutionary Optimized Stock Support-Resistance Line Detection for Algorithmic Trading Systems
(Institute of Electrical and Electronics Engineers Inc., 2019-11)
Successful stock traders have been using support-resistance lines for their trading decisions for decades. At the same time, correctly identifying these imaginary lines is one of the greatest challenges that they constantly ...
Deep learning for financial applications: A survey
(Elsevier Ltd, 2020-08)
Computational intelligence in finance has been a very popular topic for both academia and financial industry in the last few decades. Numerous studies have been published resulting in various models. Meanwhile, within the ...