A Simple Procedure To Test Neural Network Performance For Stock Trading Systems

An Artificial Neural Network-based Stock Trading System Using Technical Analysis and Big Data Framework Sezer, et al. ArXiv 2017 Neural networks have come along way in the last five years in their performance as stock prediction engines. Although this paper is a few years old, it provides a nice introduction into how a simple neural network can be used to predict buy and sell signals with common technical indicators. The authors from TOBB University of …

Exploring Graph Neural Networks for Stock Market Predictions with Rolling Window Analysis

Exploring Graph Neural Networks for Stock Market Predictions with Rolling Window Analysis Matsunaga, et al. ArXiv 2019 A theme that seems to proliferate in machine trading is to emulate the human trader while enhancing predictive capabilities. Since the world has become more interconnected, common technical and fundamental analysis techniques are often not capable of handling all the factors necessary to accurately model the financial world today. This paper takes an approach of integrating the vast …

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