In this paper, a stock trading model by integrating Technical Indicators and Convolutional Neural Network (TI-CNN) is developed and implemented. The stock data investigated in this work were collected from publicly available sources. Ten technical indicators are extracted from the historical data and ...
作者使用了 Apache Spark 大数据框架用于训练过程,最后利用从 2007 年到 2017 年的数据进行模型测试。结果表明,通过选择最合适的技术指标,在大多数情况下,神经网络模型可以实现比较好的策略结果。此外,微调技术指标和(或)优化策略可以提升整体的交易表现。 2. 数据处理 股票市场上面有许多的技术指标,在这里我们主要选择...
Zhu X, Wang H, Xu L, Li H (2008) Predicting stock index increments by neural networks: the role of trading volume under different horizons. Expert Syst Appl 34(4):3043–3054Z. Xiaotian, X. Hong Wang, L. Li, H. Li, Predicting stock index increments by neural networks: the role of...
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(2010), “Stock Market Technical Indicator Optimization by Genetic Algorithms”, Artificial Neural Networks for Engineering 2010, pp. 589-596, St. Louis, MO, 1-3 November, 2010. Google Scholar 9 Ucar, İ., Ozbayoglu, A.M., Ucar, M., (2015) “Developing a Two Level Options Trading ...
Neural networksStock market predictionsSummary: The aim of this paper is to develop new neural network algorithms to predict trading signals: buy, hold and sell, of stock market indices. Most commonly used classification techniques are not suitable to predict trading signals when the distribution of...
Generative Adversarial Neural Networks for Realistic Stock Market Simulations Stock market simulations are widely used to create synthetic environments for testing trading strategies before deploying them to real-time markets. Howeve... B Labiad,A Berrado,L Benabbou - 《International Journal of Advanced...
In the present study, evolved neural network is applied to construct a new intelligent stock trading system. First, heterogeneous double populations based hybrid genetic algorithm is adopted to optimize the connection weights of feedforward neural networks. Second, a new intelligent stock trading system...
An intelligent stock trading decision support system through integration of genetic algorithm based fuzzy neural network and artificial neural network 喜欢 0 阅读量: 172 作者:R.J.Kuo,C.H.Chen,Y.C.Hwang 摘要: The stock market, which has been investigated by various researchers, is a rather ...
The research results helped to conclude the effectiveness of application of neural networks, as compared to the traditional linear statistical methods for identifying differences of Monday and Friday stock trading anomalies. The effectiveness of the method was confirmed by exploring impact of different ...