Capturing the Deep Trend of Stock Market for a Big Profit

Robin Qiu (), Jeffrey Gong () and Jason Qiu ()
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Robin Qiu: Pennsylvania State University
Jeffrey Gong: Methacton School District
Jason Qiu: Duke University

A chapter in AI and Analytics for Public Health, 2022, pp 101-110 from Springer

Abstract: Abstract This paper explores a new and holistic trading paradigm for profit in the long run. We propose a trading strategy that combines a variety of social, economic, and trading technical indicators to substantially improve the performance of securities trading. Firstly, an enhanced moving average convergence divergence (MACD) trading algorithm is developed. Then, we apply deep learning towards further enhancing the proposed trading strategy, aimed at capturing the deep trend of stock market for a big profit. At last, by accounting for behavioral and social finance, we investigate systematically trading strategies to accommodate individuals’ irrational behavior and the restless social and economic dynamics. Promisingly, the proposed trading paradigm can be easily scaled and transformed over time.

Keywords: FinTech; Securities trading; Trading strategy; MACD; Deep learning (search for similar items in EconPapers)
Date: 2022
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Persistent link: https://EconPapers.repec.org/RePEc:spr:prbchp:978-3-030-75166-1_5

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DOI: 10.1007/978-3-030-75166-1_5

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