@article{MAKHILLJEAS201914517523,
    title = {Stock Market Forecasting Techniques: A Survey},
    journal = {Journal of Engineering and Applied Sciences},
    volume = {14},
    number = {5},
    pages = {1649-1655},
    year = {2019},
    issn = {1816-949x},
    doi = {jeasci.2019.1649.1655},
    url = {https://makhillpublications.co/view-article.php?issn=1816-949x&doi=jeasci.2019.1649.1655},
    author = {Arti and},
    keywords = {Stock price movement,sentiment analysis,machine learning,indicators,maximize trading,text},
    abstract = {This study surveyed and analyzed the prediction of stock price movement using different sentiment
analysis techniques which is given as an input to different machine learning methods. Using predictive analysis
and technical analysis various technical and economic indicators can be leveraged with the help of opinions
extracted from the text in order to identify and optimize the stock price movement decisions to maximize trading
profits.}
    }