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    ARTICLE

    Stock Market Trading Based on Market Sentiments and Reinforcement Learning

    K. M. Ameen Suhail1, Syam Sankar1, Ashok S. Kumar2, Tsafack Nestor3, Naglaa F. Soliman4,*, Abeer D. Algarni4, Walid El-Shafai5, Fathi E. Abd El-Samie4,5

    CMC-Computers, Materials & Continua, Vol.70, No.1, pp. 935-950, 2022, DOI:10.32604/cmc.2022.017069

    Abstract Stock market is a place, where shares of different companies are traded. It is a collection of buyers’ and sellers’ stocks. In this digital era, analysis and prediction in the stock market have gained an essential role in shaping today's economy. Stock market analysis can be either fundamental or technical. Technical analysis can be performed either with technical indicators or through machine learning techniques. In this paper, we report a system that uses a Reinforcement Learning (RL) network and market sentiments to make decisions about stock market trading. The system uses sentiment analysis on daily market news to spot trends… More >

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