2018 First International Conference on Secure Cyber Computing and Communication (ICSCCC) · 2018 · 159 citations · 9 references
ComputingComputer ScienceFinanceForecastingMachine LearningPredictive AnalyticsFinancial ForecastingFinancial Time Series AnalysisStock MarketsSupervised LearningTime Series ClassificationTime Series PredictionAccuracyFinancial Time Series ForecastingMachine Learning ClassificationMachine Learning Forecasting ModelsMachine Learning-based ForecastingMachine Learning-based Price ForecastingQuotations DetectionStatistical Learning Theory
Stock market prediction aims to forecast future stock values, and recent approaches use machine learning trained on historical indices to improve accuracy. The study investigates using regression and LSTM machine learning models to predict stock values. The authors employ regression and LSTM models, using open, close, low, high, and volume as input features.
In Stock Market Prediction, the aim is to predict the future value of the financial stocks of a company. The recent trend in stock market prediction technologies is the use of machine learning which makes predictions based on the values of current stock market indices by training on their previous values. Machine learning itself employs different models to make prediction easier and authentic. The paper focuses on the use of Regression and LSTM based Machine learning to predict stock values. Factors considered are open, close, low, high and volume.
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Stock market prediction using machine learning techniques
Mehak Usmani, Syed Hasan Adil, Kamran Raza et al. · 2016 · 179 citations
Computing, Computer Science, Finance +17
Stock transaction prediction modeling and analysis based on LSTM
Siyuan Liu, Guangzhong Liao, Yifan Ding · 2018 · 90 citations
Computing, Data Science, Finance +17